BSTR
BSTR: Global public company or treasury vehicle using digital assets as a corporate treasury strategy.
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BSTR is indexed in ABAB Crypto Map under Global DAT Companies. This page keeps the official site, category, tags, and related ABAB coverage together as a searchable crypto project profile. Official domain: bstr.com.
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Vercel CEO Guillermo Rauch in Conversation with Supabase: From Pixels to Tokens, Progressive Disclosure of Complexity and the Evolution of AI Cloud Architecture
"Fireside Chat with Guillermo Rauch Supabase Select 2025" (Supabase Select Summit Fireside Chat, featuring Vercel founder and CEO Guillermo Rauch / @rauchg), here are the key points summarized: 1. Open Source & Monetization • Developer Experience (DX) is consuming infrastructure: From early development of Mongoose, Socket.io to founding Next.js, modern databases and infrastructure cannot just provide bare instances to users; they must offer excellent full-stack, out-of-the-box DX (driving layers, framework integration, and workflow monitoring). • Non-zero-sum game capitalism logic: Open source and commercialization are not opposed. By growing the Next.js pie and making it the default standard for building web applications, Vercel can share in the commercialization; the ample funds obtained can then be reinvested into open source projects to ensure 24/7 response to CVE security vulnerabilities and technological iterations. 2. Product Philosophy: Progressive Disclosure of Complexity • Day 0 / Day 1 ultimate experience: • In the era of AI programming (like v0, Cursor, etc.), developers (and even AI Agents) have extremely high expectations for tools. The setup of databases or computing power must be completed within seconds, with calls requiring only a few lines of code or very few tokens. • Day 0 concept: Become the default base before developers conceive projects (like the deep integration between Supabase and Vercel), avoiding the "Duckling Syndrome" that leads to fixed choices. • Day 1,000 scalability: Many startup products are only good for "weekend prototypes," but are abandoned by users when it comes to handling larger data, enterprise-level compliance, and complex workflows. Excellent products must maintain Day 1 simplicity while gradually releasing underlying advanced capabilities as needed. 3. Vercel's New Chapter: From Pixels to Tokens • Transition from Frontend Cloud to AI Cloud: • Over the past decade, Vercel has focused on creating the fastest front-end pixels and ultimate UI experiences (like Next.js, shadcn/ui, etc.). • With the penetration of AI, many future software will have "Invisible Interfaces." Users only need to provide high-level goals, while the backend consumes a large number of tokens to collaboratively complete complex orchestration. • Core infrastructure layout for AI: • AI Gateway (Token CDN): Similar to how CDNs solved static resource distribution, AI Gateway is responsible for handling intelligent routing, disaster recovery fallback, retries, and caching for multiple model vendors. • Sandbox (Agent's EC2): A secure isolated execution environment and virtual machine for Agents (long-running CLI tools will be launched soon). • Event-driven and durable workflows: For Agent scenarios like Deep Research that last for hours, providing support for interruption recovery and checkpoint continuation. 4. Founder Spirit, Team Management, and Execution • Talent standards IGI (Intelligence, Grindset, Integrity): • As an immigrant from Argentina, he understands that breaking barriers requires strong resilience and a grindset mentality. • Ideal team members possess three elements: Intelligence (high intelligence), Grindset (extreme effort), Integrity (high integrity). • There are only two roles in the company: At Vercel, everyone must either be "Close to the code" or "Close to the customer." • Iteration speed and skepticism (Stay Sus): • Pursue "directional high-speed iteration." • Founders maintain daily personal QA and a "sus" attitude towards products, always assuming that products are not usable in specific extreme scenarios, thus forcing the team to continuously refine edge details. 5. Language and Communication: Core Skills of Technical Leaders • Communication is a hard skill: Influenced by Argentine literature and Borges, he has long focused on the study of language and precise expression. • The return of language value in the prompt era: With the rise of AI and prompt engineering, precise high-quality language communication, abstract expression ability, and solid mathematical foundation are equally important.
Cantor SPAC and Adam Back's Bitcoin Reserve Company BSTR Abandon Original Merger Terms
Cantor Fitzgerald-backed SPAC and Adam Back's BSTR announced the abandonment of the original transaction terms for their proposed merger and will renegotiate the agreement. In the context of a challenging cryptocurrency ...
Adam Foroughi: From Derivatives Trader to an AI Advertising Empire — The Entrepreneurship, Capital, Algorithms, Control, and Controversies Behind AppLovin
Adam Foroughi is not merely the “founder of AppLovin”; he remains, in a very real sense, its controlling founder. As of 2026, he remains AppLovin’s co-founder, CEO, and director. More importantly, as of March 31, 2026, he beneficially owned approximately 2.42 million Class A shares and 27.94 million Class B shares. Those Class B shares represented 92.5% of all Class B shares outstanding. Through their super-voting rights, Foroughi controlled approximately 61.6% of AppLovin’s total voting power. His economic ownership is therefore far below 61.6%, but his effective influence over corporate governance, major decisions, and long-term strategy remains exceptionally strong. This is the first key to understanding Foroughi. He is not a Silicon Valley founder who built a company, took it public, monetized his stake, and gradually stepped away. Even after AppLovin reached a market capitalization measured in the tens of billions of dollars and at times far more, he remained deeply involved in products, algorithms, talent, strategy, and capital allocation. AppLovin itself identifies dependence on Foroughi as a business risk in its SEC disclosures. He was born in Iran around 1980 and moved to the United States as a young child; his exact date of birth is not publicly established. Forbes confirms that Foroughi was born in Iran and places his birth around 1980. AppLovin’s proxy statement listed him as 45 on March 31, 2026, while Forbes listed him as 46 in August 2026, which is entirely consistent with a 1980 birth year. A precise birthday is not disclosed in high-confidence public corporate records. A number of biographies describe Tehran as his city of birth, but higher-authority public materials such as AppLovin’s SEC filings and Forbes confirm only Iran. The specific birth city therefore remains publicly under-documented / cannot be definitively confirmed. His family was not poor in Iran. On the contrary, it appears to have been highly affluent; what shaped him was the abrupt loss of an established social and economic position. A 2019 Yahoo Finance profile described his father as a prosperous real-estate developer. In a lengthy 2026 interview with David Senra, Foroughi went further, recalling that his father had run one of the most successful real-estate-development companies in Iran, employing thousands of people and leaving the family very well off before political upheaval and war forced them out of the country. Foroughi has said that he came to the United States at roughly four years old. Multiple accounts place the family in the Laguna Niguel area of Southern California, with the migration generally described in the context of the Iran-Iraq War. His story is therefore different from the standard “born with nothing” startup mythology. The family had once possessed significant resources and status, and then experienced a geopolitical rupture that stripped away much of its former position. Foroughi later linked his own drive to watching his father struggle with that loss of identity and achievement. In his 2026 interview, he explained that he could sense while growing up that part of his father had been lost when the family was uprooted, which gave him a powerful sense of obligation. That psychology later became part of his hiring philosophy. He has said that he looks for people with a “chip on their shoulder”—people with unusually strong internal motivation and something to prove, rather than simply the most conventional résumé. Public information about his mother and the family’s full post-migration financial history is limited. Reliable English-language sources focus overwhelmingly on his father and the family’s migration experience. His mother’s name, occupation, educational background, and the family’s precise financial position immediately after arriving in the United States are publicly under-documented / cannot be definitively confirmed. What can be established is that Foroughi does not portray his story as one of lifelong poverty. He has openly acknowledged that his father had been wealthy in Iran. This distinction matters. The psychological theme in his own telling is less “I wanted to become wealthy for the first time” than “I wanted to rebuild a form of capability, achievement, and control that my family had once possessed and lost.” That is an analytical interpretation grounded in his own account. He attended UC Berkeley; the graduation year is clear, while public descriptions of the exact degree and major are inconsistent. UC Berkeley’s Haas School of Business identifies Foroughi as “BS ’01”, indicating a 2001 graduation, and selected him as its 2026 undergraduate commencement speaker. Berkeley’s official biography also confirms that he entered derivatives trading after graduation. Some secondary biographies describe him as having studied economics, while Forbes gives the generic designation “Bachelor of Arts/Science.” Because Berkeley Haas itself identifies him as “BS ’01” while other sources frequently say economics, the precise degree title/major is reported inconsistently. The high-confidence fact is that he graduated from UC Berkeley in 2001. There is little reliable public evidence identifying a single professor, philosopher, or intellectual figure as a decisive influence. The recurring intellectual influence in his own career narrative is instead the idea of scalable, data-driven modeling. His first truly formative professional experience was derivatives trading, which became an intellectual prototype for AppLovin. Berkeley’s official biography says that Foroughi began as a derivatives trader, building scalable, data-driven trading models designed to produce profitable outcomes. The specific financial institution where he worked is not well documented publicly. The importance of that experience goes far beyond having once worked in finance. Foroughi later directly connected his approach to advertising technology with scalable high-frequency-trading-style models: huge volumes of real-time data, constant probabilistic judgments, fast feedback, algorithmic decision-making, and continuous optimization based on measurable results. Early industry biographies similarly describe him as having been inspired by scalable high-frequency trading models before applying those ideas to ad tech. His career path can therefore be understood as: derivatives trading → data models → advertising pricing and recommendations → user acquisition → AI-driven advertising optimization. It was less a total industry break than a transfer of the same underlying mental model to a new domain. Before AppLovin, he had already built two advertising/marketing technology companies: LifeStreet Media and Social Hour. UC Berkeley confirms that after derivatives trading, Foroughi founded LifeStreet Media and Social Hour, where he expanded his knowledge of mobile technology and advertising. AppLovin was therefore not his first startup. It was effectively his third attempt to apply data and modeling to advertising technology. That context helps explain AppLovin’s unusually fast early commercialization. Foroughi was not a first-time founder discovering the industry from scratch; he already had experience with trading, ad technology, company formation, and exits. Social Hour was acquired by PlayPhone in 2012 in an all-stock transaction valued at roughly $51.5 million. Contemporary reporting described Social Hour as a bootstrapped San Francisco company with approximately 22 employees. By the time AppLovin began scaling, Foroughi had therefore already learned how to build teams, run advertising businesses, and complete a corporate transaction. AppLovin’s Formation, Product Evolution, and Strategic Expansion There is a roughly one-year difference between AppLovin’s legal incorporation date and the date commonly used as its founding year. SEC filings show that the corporate predecessor was incorporated in Delaware on July 18, 2011, while AppLovin and Berkeley commonly describe the business as founded in 2012. The most precise interpretation is that the company was legally formed in 2011, while its core advertising product came to market and the recognizable AppLovin business took shape in 2012. Foroughi launched the company with figures including John Krystynak and Andrew Karam. Foroughi was the central business and strategy leader from the outset; Krystynak initially led technology, while early engineer Basil/Vasily Shikin eventually assumed the technology leadership role. Foroughi said in 2026 that Shikin replaced Krystynak as CTO around 2016. This foreshadowed one of Foroughi’s defining management principles: a leadership position is not a permanent entitlement of an early founder; the strongest person for the role should occupy it at any given moment. AppLovin did not begin with a perfectly formed plan to create an advertising platform. It discovered the real product through unsuccessful consumer-app experiments. In retrospective accounts, Foroughi has described early experiments with dating, fashion, and other consumer applications. The applications themselves were not particularly successful. What the team eventually realized was that the valuable product was not the app—it was the recommendation and advertising technology they had built to acquire users for those apps. That became a crucial abstraction: the algorithm stopped being a support tool for an app and became the product itself. Foroughi’s 2026 retrospective places the advertising-platform launch around March 2012 and says that by November the platform was producing roughly $1 million per month. Those figures are best treated as founder recollection rather than audited contemporaneous disclosures. By 2014, however, TechCrunch reported that AppLovin had reached an annualized $100 million gross-revenue run rate while disclosing only about $4 million in external funding. Customers reportedly included Spotify, OpenTable, and Nordstrom, and the platform was reaching roughly 500 million devices per month. “Low funding, early revenue, engineering first” became one of AppLovin’s most important organizational genes. Unlike many ad-tech startups of the period, AppLovin did not repeatedly raise large venture rounds to build a massive sales organization. When it emerged publicly in 2014, it had disclosed only about $4 million in outside capital but was already reporting a roughly $100 million annualized gross-revenue run rate. Foroughi has since said that many of the top venture firms did not invest, forcing the company to rely heavily on operating cash flow. By 2015, Business Insider reported that the company still employed only roughly 70-plus people while processing very large volumes of advertising requests and data; engineering, data, and DevOps clearly outweighed the size of the sales organization. This was not merely frugality. Foroughi’s underlying belief is that if an advertising product requires a huge sales force to persuade customers to use it, the product is not yet sufficiently good. A truly scalable performance-advertising system should demonstrate its value through measurable return on investment. He was still articulating this “the product must sell itself” philosophy in 2026. Foroughi’s role has always been closer to “chief product and capital allocator” than to a conventional professional-manager CEO. In AppLovin’s early years, commercial decisions, product choices, hiring, and capital allocation were highly centralized around him. Looking back at the 2014–2015 growth period, Foroughi said that virtually “all roads” in the business ran through him even while the company was growing at roughly 100% annually. As the company scaled, he delegated technology to Shikin and later Giovanni Ge and delegated other functions to long-term collaborators, but strategic direction, talent standards, M&A logic, and capital allocation remained heavily influenced by him. AppLovin’s board materials emphasize his deep industry expertise, product knowledge, global-team experience, and strategic vision; at the same time, SEC risk disclosures make clear that losing him could materially harm the business. He is therefore both one of AppLovin’s largest strategic assets and a major key-person dependency. Beginning around 2018, AppLovin expanded from an advertising platform into a vertically integrated combination of ad technology and gaming content. The IPO filing states that from 2018 onward AppLovin invested more than $1 billion across roughly 15 strategic acquisitions and partnerships. The strategy was no longer merely to provide advertising and monetization software to third-party developers; AppLovin would also own, invest in, or partner with game studios. The theoretical flywheel was straightforward: advertising technology helped games acquire users; games generated user-behavior data and advertising inventory; owned games created a faster environment for testing algorithms; better algorithms could then be offered to outside developers; more outside developers expanded both data and marketplace liquidity. Foroughi later acknowledged that gaining data and creating internal testing environments for the advertising system were important reasons for owning gaming assets. He also said KKR supported the company in executing the vertical-integration strategy rapidly after investing. Machine Zone, Adjust, MoPub, and Wurl transformed AppLovin from a mobile ad network into a much broader advertising infrastructure stack. In 2020, AppLovin acquired mobile-game developer Machine Zone, known for titles including Game of War and Mobile Strike and for its real-time technology infrastructure. In 2021, AppLovin completed its acquisition of mobile measurement and attribution company Adjust, adding the ability to measure what happened after advertising spend. AppLovin’s 2021 financial materials already included Adjust in Software Platform growth. Later in 2021, AppLovin agreed to acquire Twitter’s MoPub, closing the transaction in January 2022 for $1.05 billion in cash. The strategic point was not simply to operate MoPub indefinitely as a separate product, but to migrate publishers and supply into AppLovin MAX and strengthen its mediation and bidding infrastructure. In 2022, AppLovin acquired connected-TV company Wurl for approximately $430 million in cash and stock, extending the software platform into CTV. These transactions were connected pieces rather than an unrelated collection: user acquisition → advertising auction → publisher monetization → attribution and measurement → connected TV. Foroughi was progressively building control over more critical nodes in the advertising value chain. But Foroughi ultimately concluded that operating games was not a core competence, and AppLovin sold the entire Apps business to Tripledot in 2025. This is one of the most revealing strategic reversals in his career. In his 2026 interview, Foroughi bluntly said the company realized it would never be particularly good at gaming. Studios required large amounts of management and headcount, while AppLovin’s genuine comparative advantage was advertising technology. Once third-party mobile-game advertisers had broadly connected to the platform, the need to own games as a source of data and experimentation declined, and the studios became an organizational distraction. On June 30, 2025, AppLovin completed the sale of its Apps business to UK-based Tripledot Studios. The 2025 Form 10-K classified the disposal as a major strategic shift and reported the Apps business as discontinued operations; consideration included both cash and equity in Tripledot. This illustrates a capability many founders lack: the willingness not only to acquire aggressively, but also to admit that an entire business line they built and bought is no longer the core. By 2026, the assets that matter most inside the business Foroughi controls are no longer game studios but four major technology layers. First, Axon / Axon Ads Manager, the core AI-powered advertising recommendation, matching, and campaign system. Second, MAX, the app-publisher monetization, mediation, and in-app-bidding infrastructure. Third, Adjust, the attribution, measurement, and analytics platform. Fourth, Wurl, the connected-TV content and advertising technology business. A crucial distinction is necessary: these brands, codebases, contracts, and intellectual property are corporate assets of AppLovin Corporation, not Adam Foroughi’s personal property. His personal economic asset is his AppLovin equity. His super-voting shares, CEO position, board seat, founder reputation, influence over senior talent, and authority over product direction are better understood as “control assets” and “influence assets.” His 61.6% voting power as of March 2026 makes the latter unusually significant. Capital Relationships, Partner Network, and Control AppLovin’s capital history is unusually inverted: it first built revenue and cash generation, then brought in large-scale institutional capital. Early disclosed outside capital amounted to only about $4 million. Public reporting identified investors from networks including Webb Investment Network; Maynard Webb remained connected to the company over the long term and joined AppLovin’s board in 2025. This meant that AppLovin did not spend its formative years moving through the standard Silicon Valley sequence of repeated venture rounds and investor-controlled boards. The outcome was highly consequential for Foroughi: he retained greater founder control and helped create a culture in which revenue and product validation came before financing. The 2016–2017 transaction with Chinese capital was one of the most important—and accidental—turning points in Foroughi’s life. In 2016, Chinese private-equity group Orient Hontai agreed to a transaction valuing AppLovin at roughly $1.4 billion and intended to acquire majority control. The transaction encountered U.S. foreign-investment scrutiny as CFIUS considered the national-security implications of a Chinese buyer controlling a U.S. mobile-advertising company with access to large amounts of user and advertising data. The majority-control sale ultimately did not proceed as originally structured. The transaction was reworked into a non-controlling equity and debt structure. Contemporary reporting described Orient Hontai taking roughly 9.98% for approximately $140 million while providing approximately $841 million of debt financing. Foroughi later said that the original proposal would have given the Chinese investor roughly 70% control. He also acknowledged that he lacked a sophisticated board and had little experience navigating national-security reviews; only after entering the Washington process did he understand how strategically sensitive a data and advertising platform could appear to regulators. In hindsight, the failed sale may have been one of the most financially important accidents of his career. Had control transferred, Foroughi would likely have lost the ability to direct AppLovin long before its later value creation. Instead, shareholders obtained liquidity while he retained the opportunity to keep running the company. KKR became the bridge between a founder-run private company and a large, institutionally financed public business. In 2018, KKR invested $400 million in AppLovin at a valuation of approximately $2 billion. KKR partner Herald Chen became one of Foroughi’s most important long-term partners, joining the board and later serving in senior operating and finance roles. Foroughi recalled that at one stage the core board effectively consisted of himself, Eduardo Vivas, and Chen. KKR provided more than capital. It gave AppLovin the backing of a major U.S. private-equity institution, helped normalize and clean up the more complicated capital structure that followed the Chinese transaction, and supported the gaming-studio acquisition strategy. The relationship was not permanent, however. By the end of 2024, KKR had converted its remaining Class B holdings into Class A and sold its remaining position, leaving the prior voting arrangement. AppLovin today is therefore not best understood as “KKR-controlled.” Foroughi’s personal voting control is substantially more important. The 2021 IPO transformed Foroughi from a wealthy private-company founder into a billionaire public-company CEO, but he later identified a major flaw in the offering structure. In April 2021, AppLovin sold roughly 25 million shares at $80 per share, raising about $2 billion at an approximately $28.6 billion fully diluted valuation. The stock traded below the offering price on its debut. Forbes estimated at the time that Foroughi’s stake was worth close to $2 billion, pushing him into billionaire status. In his 2026 retrospective, however, Foroughi said the company floated only about 7%–8% of its shares and that the float was too low. In his view, insufficient public float contributed to volatility and made it harder to establish a deeper base of long-term institutional shareholders. That observation is revealing: he does not treat the IPO as a ceremonial end point, but as another capital-structure experiment whose design errors he was willing to acknowledge publicly. Today Foroughi’s moat is not simply equity ownership; it is equity plus super-voting control plus a long-tenured talent network. As of March 31, 2026, he beneficially owned roughly 27.94 million Class B shares, approximately 92.5% of the class, giving him roughly 61.6% of total voting power. That makes it very difficult for ordinary Class A shareholders to overturn the core control structure through a normal shareholder vote without his cooperation. At the same time, he has assembled a network of unusually long-duration collaborators: Eduardo Vivas has been important in the early capital and company network; Herald Chen connected AppLovin with KKR and remained on the board; Maynard Webb evolved from early investor to director; Basil/Vasily Shikin grew from an early engineer into long-time CTO; Giovanni Ge led work on Axon 2.0 and became CTO in July 2026. The value of this network does not appear directly on a balance sheet. It represents a form of high-trust, high-velocity organizational capital. Business Model, Turning Points, and Exceptional Outcomes At its core, AppLovin uses algorithms to sell advertisers measurable economic growth rather than merely advertising exposure. Axon Ads Manager uses machine learning and AI to match advertising demand, inventory, and prospective users in real time. AppLovin’s 2025 Form 10-K describes the commercial logic directly: revenue grows when advertisers are able to achieve their targeted ROAS, or return on advertising spend. This differs from traditional brand advertising. The model is closer to: an advertiser invests a dollar; the algorithm finds consumers most likely to convert; the system measures installs, purchases, or other outcomes; if the advertiser makes money, it increases spending; AppLovin grows with that expanding budget loop. Foroughi has therefore at times described the business in unusually direct language: it is effectively about “selling revenue,” not selling ad space. The business model has undergone three major evolutions. The first phase, 2012–2017, was mobile performance advertising. The core was user acquisition, recommendation algorithms, and an advertising network. Early recommendation logic was comparatively simple and became more sophisticated over time. The second phase, 2018–2022, was the vertically integrated platform-plus-Apps flywheel. AppLovin owned or partnered with gaming studios while building a broader software platform through MAX, Adjust, MoPub, and related technology. Software Platform revenue accelerated sharply in 2021, beginning a revaluation of the company from “gaming plus advertising” toward advertising infrastructure. The third phase, 2023 to the present, is the Axon-AI-driven, increasingly pure-play advertising technology model. Axon 2.0 applied more advanced AI and machine-learning systems to ad recommendations. Following the 2025 sale of the Apps business, both capital and organizational attention became far more concentrated on advertising technology. By 2026, AppLovin was also trying to extend the system from mobile gaming into e-commerce and broader consumer advertising. Axon 2.0 is one of the most important technological turning points in Foroughi’s career. AppLovin publicly upgraded the Axon recommendation system in 2023, describing the use of newer AI techniques to improve advertiser returns and matching efficiency. The company later identified Giovanni Ge as a central technical leader in the development of Axon 2.0. Its significance goes well beyond the label “AI.” AppLovin’s economics can create a powerful positive feedback loop: better predictions produce higher advertiser ROAS; higher ROAS encourages advertisers to spend more; more spending creates more auctions and data; more data improves the models; better models increase the next round of returns. If the loop works, revenue can rise without a proportional increase in headcount. That is precisely the corporate form Foroughi has spent years trying to create. His organizational model can be summarized as: very few people, very high individual authority, extensive automation, and relentless performance filtering. As of December 31, 2025, AppLovin employed approximately 898 people, about 60% of them outside the United States. Roughly 380 employees were in R&D, approximately 42% of the workforce. That is an unusually small organization for a global public technology company generating approximately $5.5 billion of annual revenue. AppLovin itself described its growth model in the 2026 proxy as being driven by “automation, efficiency, and product excellence rather than headcount.” Foroughi has also said that AppLovin does not need an especially large traditional product organization because engineers are expected to act as product owners themselves. The upside is extraordinary speed, margins, and output per employee. The downside is a visibly intense culture with substantial dependence on a relatively small number of critical people. The 2022 stock collapse transformed “lean” from a startup habit into a deeper organizational philosophy. Foroughi recalls that after AppLovin’s 2021 IPO and an initial rise, the stock fell throughout 2022 from roughly $115 to single digits, with the company’s market capitalization falling below roughly $4 billion—a decline of more than 90% from the peak. The crisis forced him to rethink equity compensation, retention, and corporate hierarchy. His conclusion was not to give everyone more equity. Instead, he drew a sharper distinction between truly critical, difficult-to-replace talent and more functional roles. In later restructurings, AppLovin replaced or removed a number of long-tenured employees, and Foroughi openly said that he did not want to maintain jobs he believed would eventually be automated by AI or large language models. This captures one of his most controversial but internally consistent management beliefs: a company is not a permanent community of positions; it is a system whose talent configuration should be continuously optimized. He strongly favors internal promotion, but on the basis of ability rather than tenure. Around 2016, early engineer Shikin replaced co-founder John Krystynak in the senior technology role. In 2026, a similar transition occurred again: long-time CTO Shikin moved into a Distinguished Engineer role effective July 1, while Giovanni Ge, who had led work on Axon 2.0, became CTO. Foroughi’s explanation is simple: if the person below an executive has clearly become better suited to the job and the company preserves the hierarchy purely out of seniority, the strongest employee will eventually leave. His version of talent development is therefore not a stable corporate ladder. It is continuous redistribution of organizational authority. Measured by financial outcomes, AppLovin’s success has become extraordinary. In 2025, revenue reached approximately $5.5 billion, up roughly 70%; net income was approximately $3.33 billion, and operating cash flow approximately $3.97 billion. The company also spent about $2.2 billion repurchasing shares during the year. The advertising platform drove the growth. In 2025, installation volume increased only around 3%, while net revenue per installation rose roughly 72%, suggesting that growth increasingly came from monetization/model effectiveness rather than sheer traffic expansion. In the second quarter of 2026, quarterly revenue reached approximately $1.924 billion, still up roughly 53% year over year, while quarterly net income was approximately $1.267 billion. In September 2025, AppLovin was officially added to the S&P 500, marking its transition from a specialist mobile-gaming ad-tech company into the main index of large U.S. public companies. Foroughi’s most distinctive achievement is not the invention of internet advertising, but the unusually complete integration of three capabilities. The first is quantitative-trading-style algorithmic thinking: decisions ultimately have to resolve into measurable returns. The second is startup capital discipline: use little outside money early, then broaden capital tools after the business works. The third is founder-controlled organization design: retain strong voting rights, keep teams small, and make decisions rapidly. Combined, these characteristics make AppLovin look less like a traditional advertising company and more like an advertising capital-allocation machine. It attempts to determine, continuously and algorithmically, which advertiser dollar should be matched with which user, inventory unit, and moment. If the model can predict economic returns more accurately than competitors, advertising budgets naturally migrate toward it. AppLovin’s 2025 and 2026 financial results are currently the strongest empirical evidence that this mechanism has worked at significant scale. Foroughi’s personal wealth is overwhelmingly tied to AppLovin. As of August 15, 2026, Forbes estimated his real-time net worth at approximately $11.5 billion, ranking him around No. 295 globally, and estimated that he owned roughly 11% of AppLovin economically. Forbes identifies advertising technology as the source of his wealth. That figure is a Forbes estimate, not an audited personal balance sheet. The more authoritative control figures come from the SEC: as of March 31, 2026, he beneficially owned approximately 30.36 million Class A and Class B shares combined and controlled approximately 61.6% of the vote through the super-voting Class B structure. The most important distinction is therefore: economic ownership of roughly a tenth of the company; voting control of more than three-fifths. That says more about his real-world position than the headline billionaire number alone. His CEO compensation follows the same ownership-centered philosophy. For 2025, Foroughi received a base salary of only $400,000, but stock awards with a grant-date fair value of approximately $12.56 million, bringing total disclosed compensation to approximately $12.97 million. His total was about $11.20 million in 2024 and approximately $83.36 million in 2023, when large performance-based equity grants drove the figure sharply higher. AppLovin does not maintain an annual cash-bonus program for executive officers. Variable compensation is primarily equity-based, and base salaries are generally capped at $400,000. Foroughi’s real wealth-creation engine is therefore not CEO salary. It is the appreciation of the large block of AppLovin equity he has retained. Failures, Controversies, Regulatory Exposure, and Criticism One of his clearest failed strategic projects was AppLovin’s 2022 attempt to acquire Unity. In August 2022, AppLovin proposed an approximately $17.5 billion all-stock acquisition of Unity Software, seeking to combine two major gaming-development, advertising, and monetization infrastructure businesses. Unity quickly rejected the proposal and continued with its planned ironSource transaction. The failed bid illustrates Foroughi’s ambition at the time: he was willing to attempt a transformative mega-merger that could have reorganized the mobile gaming-advertising infrastructure landscape. In retrospect, AppLovin did not need the deal to create extraordinary value. Internal improvements to Axon subsequently produced far more growth than the market had expected. The gaming-studio strategy should itself be judged as partly successful and partly a strategic miscalculation. It clearly provided advertising inventory, data, internal experimentation environments, and cash flow during an important stage in AppLovin’s development. But Foroughi later openly acknowledged that AppLovin was not particularly good at operating game studios and that their headcount and management complexity increasingly distracted from the advertising business, ultimately leading to the divestiture. It was therefore not a total financial failure. It was better understood as a strategic instrument that created value for a period but did not deserve to remain a permanent core business. The Chinese-control transaction was a regulatory misjudgment that accidentally produced a highly favorable long-term outcome. Foroughi later acknowledged that he entered the CFIUS process without a mature board and without a sophisticated understanding of the national-security sensitivity surrounding control of data assets. He described himself as going into Washington without really knowing how to navigate the situation. This illustrates an important early weakness: his product judgment was much more developed than his large-company governance and geopolitical experience. Yet because the transaction was blocked and restructured, he retained control of AppLovin. It is a classic case in which the process reflected a mistake while the outcome proved extraordinarily beneficial. Since 2025, the most serious public controversies around AppLovin have come from short sellers alleging problems involving data, ad targeting, and platform-policy compliance. Fuzzy Panda Research, Culper Research, and Muddy Waters were among the short sellers that issued reports alleging various problems, including possible violations of Apple, Google, or Meta rules, unauthorized uses of data, questionable app-installation practices, and advertising-targeting behavior. These firms had financial positions that could benefit from a decline in AppLovin’s stock, so their reports are not neutral adjudications of fact. AppLovin and Foroughi strongly disputed the allegations, and the company hired legal advisers including Quinn Emanuel to review claims contained in short-seller reports. The allegations therefore should not be presented as proven corporate misconduct. The controversy became more serious when the U.S. SEC began investigating. In October 2025, Reuters, citing Bloomberg, reported that the SEC was investigating AppLovin’s data-collection practices. The probe was reportedly connected to a whistleblower complaint and claims in short-seller reports, including questions about whether AppLovin had violated platform-partner service agreements in order to target advertising more precisely. The report explicitly stated that AppLovin had not been formally accused of wrongdoing. On February 20, 2026, Reuters reported that the matter was still considered an active enforcement investigation. The SEC declined to release certain internal documents partly because doing so could interfere with enforcement activity. Reuters also noted that it could not independently verify all details in Bloomberg’s reporting, and neither AppLovin nor the SEC had announced formal charges. The most accurate current formulation based on that explicit public update is: an investigation exists and remained active at the latest clearly reported status; whether it will result in enforcement, penalties, or closure remains unconfirmed. The company also faces shareholder securities litigation, but the allegations have not been established as fact. AppLovin’s latest SEC filings disclose ongoing shareholder and derivative litigation relating to prior stock-price and disclosure controversies. The company denies the allegations and considers them without merit. Certain derivative proceedings have been stayed while related motions, including motions to dismiss, are resolved. The proper characterization is therefore: formal litigation risk exists, but liability has not been established by a final judicial ruling. Even if the short-seller allegations ultimately fail, privacy and platform dependence remain objective structural risks for AppLovin. AppLovin itself acknowledges in its Form 10-K that Axon depends on significant data processing and that the company must continually adapt to privacy laws, Apple and Google platform policies, and regulatory requirements across jurisdictions. Changes in regulation or platform rules could reduce available data, weaken targeting effectiveness, or increase compliance costs. This is one reason AppLovin differs structurally from Meta or Google. Meta and Google own enormous first-party consumer destinations. AppLovin is more dependent on third-party apps, advertising inventory, and platform ecosystems. Its technology can therefore be extremely powerful while still operating under an external constraint: Apple, Google, and other gatekeepers can change the rules. Another persistent governance issue is the extraordinary concentration of founder voting control. Foroughi’s 61.6% voting power gives him decisive influence over a wide range of shareholder matters. Supporters can argue that this allows him to resist short-term market pressure and make long-term decisions—such as continuing to invest in algorithms during the 2022 downturn, repurchasing stock, or divesting Apps. Critics can argue that ordinary Class A shareholders bear economic risk without having proportional ability to discipline the founder through voting. This is not a legal scandal. It is a classic founder-control governance trade-off. His management culture is also a plausible source of criticism. In 2026, Foroughi publicly described replacing a number of long-tenured employees while restructuring the organization and eliminating positions that he believed could eventually be automated by AI or handled more efficiently by stronger talent. He repeatedly emphasizes maintaining a small, high-performance workforce and rejects the idea that an executive should keep a role simply because he or she has held it for a decade. Supporters see unusually high execution standards. Critics may see a hard-edged, high-pressure culture with less traditional employment stability. What is clear from Foroughi’s own language is that he prioritizes continuous optimization of the organization over long-term security of individual positions. Current Position, Real-World Influence, and Timeline As of August 2026, Foroughi remains AppLovin’s most important operator, although he voluntarily gave up the board-chair role. On April 7, 2026, AppLovin announced that Wynn Resorts CEO Craig Billings would become independent chair of AppLovin’s board. Foroughi remained CEO and a director. He said the change would allow him to focus fully on strategic execution. The distinction matters. He surrendered the chairman title, not economic or voting control. SEC data immediately preceding the transition still showed him with 61.6% of total voting power. The move therefore looks more like professionalization of governance than founder withdrawal. In 2026, he is still pushing the next strategic expansion: moving beyond mobile-gaming advertising toward a much broader commercial advertising platform. In 2025 AppLovin had already begun onboarding web-based e-commerce advertisers to Axon, extending the goal from “help game developers acquire users” toward “help many kinds of businesses identify economically valuable customers.” Foroughi said in 2026 that even with a much larger addressable market, he does not intend to hire a conventional giant sales organization in advance. His thesis is that AI tools allow a handful of exceptional individuals to perform work that previously required dozens of people. His next major bet can therefore be stated more precisely as: Can AI allow the core operations of a technology company worth tens or hundreds of billions of dollars to remain run by only a few hundred critical people? In terms of real-world status, he has moved from being an ad-tech insider to the mainstream tier of major American entrepreneurs. AppLovin entered the S&P 500; Forbes estimates Foroughi’s wealth at roughly $11.5 billion; and UC Berkeley Haas selected him as its 2026 undergraduate commencement speaker. His public persona, however, is very different from high-exposure founders such as Elon Musk, Sam Altman, or Mark Zuckerberg. A Business Insider profile described him as a billionaire who generally avoids the standard high-profile conference and television circuit. Public interviews have historically been relatively limited, although he has become more willing to explain his operating philosophy as AppLovin’s valuation and influence have risen. His influence therefore comes much more from financial performance, product outcomes, and organizational design than from a personal media brand. External views of Foroughi are sharply polarized. Supporters in the startup and investment world view him as one of the rare founder-CEOs to execute a full sequence of bootstrapping → large-scale profitability → IPO → AI-driven second growth curve. David Senra described him in 2026 as one of the most focused and intense founders he had encountered. Short sellers, by contrast, portray AppLovin as an opaque algorithmic advertising company with potentially serious questions surrounding data use and platform policies. The existence of an SEC investigation means those concerns cannot simply be dismissed as ordinary stock-market noise, even though no wrongdoing has been formally established. A serious assessment of Foroughi therefore has to hold both pictures at once. He is simultaneously one of Silicon Valley’s strongest contemporary examples of capital efficiency and AI commercialization and a strongly controlling founder whose data practices and platform relationships are being tested by regulators and critics. Compressed into a timeline, his career has a remarkably clear sequence. Around 1980: Born in Iran; his family later leaves amid war and political upheaval. Around 1984: Arrives in the United States at approximately four years old and grows up in Southern California. 2001: Graduates from UC Berkeley. Early 2000s: Works in derivatives trading, focusing on scalable, data-driven models. Thereafter: Founds LifeStreet Media and Social Hour, transferring quantitative-model thinking into mobile advertising. 2011: AppLovin’s legal entity is incorporated. 2012: The advertising platform comes to market; Social Hour is sold in the same year. 2014: AppLovin emerges from stealth and reports an approximately $100 million annualized gross-revenue run rate despite having disclosed only about $4 million of outside capital. 2016: Orient Hontai proposes acquiring majority control, sending the transaction into CFIUS review. 2017: The deal is restructured into minority equity plus debt financing, leaving Foroughi in control. 2018: KKR invests $400 million at an approximately $2 billion valuation; AppLovin accelerates acquisitions and gaming-content expansion. 2020: AppLovin acquires Machine Zone. 2021: AppLovin acquires Adjust, raises roughly $2 billion in its IPO, and later agrees to acquire MoPub. 2022: AppLovin completes MoPub and Wurl acquisitions, makes a roughly $17.5 billion bid for Unity that is rejected, and suffers a severe stock-price collapse. 2023: Axon 2.0 becomes the central technological growth engine. 2024–2025: Advertising growth accelerates sharply; public markets re-rate the company; KKR fully exits its remaining stake. 2025: AppLovin sells the Apps business to Tripledot, concentrates strategy on advertising technology, produces approximately $5.5 billion of revenue and $3.33 billion of net income, and joins the S&P 500 in September. 2025–2026: Short sellers attack the company and an SEC investigation into data practices emerges. April 2026: Craig Billings becomes independent chair; Foroughi remains CEO and a director. July 2026: Giovanni Ge succeeds Shikin as CTO, illustrating Foroughi’s long-standing philosophy of continuously refreshing leadership from within. August 2026: Forbes estimates Foroughi’s net worth at approximately $11.5 billion; he remains AppLovin’s CEO, a major shareholder, and its effective voting controller. Ultimately, what makes Adam Foroughi unusual is not simply that he built a successful advertising platform, but that he completed five distinct identity transitions. First, the child of an Iranian immigrant family whose formative psychological experience involved the loss of a previously high social and economic position. Second, the quantitative trader, learning to translate complex systems into data, probability, and real-time models. Third, the serial ad-tech entrepreneur, using LifeStreet and Social Hour to accumulate industry, company-building, and exit experience before AppLovin. Fourth, the founder as capital allocator, for whom the China transaction, KKR investment, IPO, acquisitions, share repurchases, and gaming divestiture were not side activities but central components of value creation. Fifth, the controller of an AI advertising infrastructure company, whose present power comes from the combination of Axon, MAX, Adjust, and Wurl with approximately 61.6% of AppLovin’s voting power. Reduced to one sentence: Foroughi’s defining skill is the repeated conversion of complex people, advertising budgets, data, capital, and organizational structures into systems that can be measured, optimized, and reallocated. That philosophy helped AppLovin grow from roughly $4 million of early external capital into an S&P 500 company. It also explains the two radically different ways he is viewed today: supporters see an exceptionally capital-efficient, technically minded founder-CEO; critics see the risks that can emerge when opaque algorithmic advertising, sensitive data, and concentrated super-voting founder power are combined in a single enterprise.
Former Los Angeles County Deputy Sheriff Scott Simpkins Sentenced to 18 Months in Prison for Obstructing FBI Investigation of Imprisoned Crypto Trader Adam Iza
Prosecutors accused Simpkins of falsely denying witnessing Iza threaten a victim and extort a $25,000 bank transfer during a 2021 incident. Market mechanisms indicate that law enforcement interference in crypto-...
Valuation of $550 million, weekly fee income of $2 million: FOMO founder Seyoung deeply analyzes cross-chain seamless transactions, public chain psychology, and community leverage
"Building the Social Media for Crypto (FOMO Founder Interview)" (Maurits Markets podcast interview with Seyoung, co-founder of the crypto social trading platform FOMO), here are the key points summarized: 1. The explosion of the FOMO platform and core business data • Data and financing: FOMO currently has about 1.3 million users, recently maintaining a growth rate of about 30,000 new users per day; weekly fee income has surpassed $2 million, with the latest financing valuation reaching $550 million. • The difficult journey from 0 to 1: Despite early support from 140 angel investors, the number of active users was very low in the initial months. The core breakthrough was to focus on the initial 500 to 5,000 geek users, collecting feedback frequently and iterating the product quickly, rather than blindly pursuing initial user numbers. • First principle: Shifting from "token/public chain-based" to "fiat/USD-based": • Ordinary users (Normies) are extremely resistant to and confused by using volatile assets like SOL and ETH as the underlying accounting unit. If they deposit $100 and see it drop to $98.5 the next day (even if the number of tokens remains unchanged, just due to the public chain token's decline), they will develop a trust crisis thinking "the platform is stealing my money." • FOMO adopts a fiat/USD unified settlement, smoothing out public chain friction and cross-chain bridge (Bridging) thresholds (reducing cross-chain transaction targets to a 1-second level), allowing users to not worry about Gas fees, wallets, RPC, or different public chain bases. 2. Social Trading and Clan mechanisms • Traders as "new era stars": • In the past, P&L (profit and loss charts) were easily questioned for being fake or photoshopped; FOMO empowers truly excellent traders with absolute authority (Authority) and "Aura (personal reputation/charisma)" through transparent on-chain leaderboards and smart data scraping. • Believing that within the next 6 months, multiple top players with tens of millions (8-digit) P&L will appear on the FOMO clan leaderboard, creating a new generation of native crypto idols. • FOMO Clans feature: • Trading is essentially a competitive and team collaboration game (PvP and team formation). Clans allow traders to establish publicly transparent guilds/clans, share clan treasuries, publish research newsletters, and receive exclusive airdrops, transforming previously hidden private alpha trades in Telegram/Discord into public social capital. 3. The future of the crypto market and the pan-financial platform • Not just a "crypto company": FOMO's ultimate positioning is as the "Social Graph of Finance". In the future, it will not only support crypto assets but also expand to US stocks, prediction markets, and broader financial targets. • Embracing competition: Not afraid to compete with Robinhood, Coinbase, or traditional trading terminals (like GMGN, Axiom). As board members say, "A company's biggest survival crisis is never having experienced a crisis"—if destined to fail, it is better to iterate through brutal competition now. 4. Seyoung's Mount Rushmore (top traders and top creators) • Mount Rushmore-level traders: 1. GCR: An absolute legend (Goat), with legendary depth and very little exposure. 2. Cobie: An early visionary trader with pure conviction. 3. Flood: A representative with high conviction and credibility in long-term targets like Hyperliquid (Hype). 4. Ansem: A recognized volume and trend controller, daring to bet at the bottom/top. 5. Chaingey: The number one on the FOMO leaderboard, a native rising star based on real account strength. • Top content creators: • Rasmer (real trading and personal brand explosion), Thread Guy (transitioning from NFT to professional financial early broadcast), Orangie (a strong onboarding engine), Ansem (a dual king of trading and content). 5. Founder philosophy and personal workflow • An extremely focused founder's life: • Wakes up every morning at 5-6 AM, uses quiet time for thinking and exercising; then enters a long 16-17 hour online state (handling Twitter/Telegram messages, product feedback, product development). • Founding a company is the heaviest commitment besides marriage and having children, requiring full dedication. • A low-key material view and legacy: • Wears a low-key Casio watch, maintains restraint towards luxury brands. Money, fame, and short-term P&L are temporary; only the lasting impact on the industry and users (Legacy) is permanent.
Tesla Claims FSD No-Touch Steering Mileage Exceeds 25,000
... highway on/off ramps, but activation conditions include unobstructed cameras, updated maps, and the ability for the driver to take over by steering or braking at any time. Buyers are owners who pay for the softwar...
From Immigrant Information Hub to Chinese-American Internet Network: ChineseInLA, NYChinaRen, and the Entrepreneurial Journey of Zach Song
1. The central conclusion: Zach Song is better understood not as a conventional media entrepreneur, but as a technology-oriented founder who entered the Chinese-American information market through software and gradually built a hybrid of local-information infrastructure, classifieds marketplace, business directory, content-traffic engine, and advertising network. The core value of ChineseInLA.com did not primarily come from original journalism. Its initial value proposition was much more practical: how could Chinese-speaking newcomers with limited English and little knowledge of local institutions find jobs, housing, merchants, attorneys, restaurants, immigration information, and other Chinese residents? In 2016, the Los Angeles Times described ChineseInLA as a somewhat disorganized “Yelp-meets-Craigslist” hybrid. By that point, it reportedly had more than 680,000 listings, over 350,000 registered users, roughly two million monthly visits, and sister sites in 15 cities. More importantly, ChineseInLA was not originally designed in that form. Song told the Los Angeles Times that he and his wife came from Shanghai to the United States in 2003 and experienced a strong sense of helplessness. When ChineseInLA launched in 2006, he initially envisioned a Wikipedia-like repository of knowledge that could help newcomers navigate life in America. Users, however, became much more interested in buying and selling things. Song therefore redesigned the product around Craigslist-style classifieds and Yelp-style business listings and reviews. Once online advertising became the principal revenue source, Chinese-language news and discussion forums were added to generate more traffic. The right way to understand Song is therefore not as the founder of a conventional newsroom, but as an early ethnic vertical Internet-platform operator. He identified language and information asymmetries, turned traffic into a two-sided marketplace, and concentrated merchants, landlords, employers, attorneys, real-estate agents, auto businesses, restaurants, and Chinese-speaking consumers inside one dense local gateway. The model was subsequently replicated in New York, the San Francisco Bay Area, Seattle, and other markets. A 2019 company media kit claimed that the network had expanded to 17 city or regional sites. Legal and operating records also show that ChineseInLA, NYChinaRen, ChineseInSFBay, and SeattleChinaRen were not merely loose affiliates. A 2019 San Bernardino County fictitious-business-name notice placed all four names under Zach Technology, Inc. ChineseInLA.com and NYChinaRen.com were later federally registered as trademarks owned by Zach Technology. As of 2026, ChineseInLA remains active, but it no longer appears to be in the hyper-growth phase associated with the mid-2010s. Semrush estimated roughly 99,990 visits in June 2026, while Similarweb placed the site at approximately #187,198 globally. Because those services use different estimation methodologies, their figures should not be mechanically compared with the two million monthly visits reported in 2016. Directionally, however, the evidence suggests that ChineseInLA today is better described as a mature vertical community property with durable brand recognition and SEO value than as a rapidly expanding traffic phenomenon. At the same time, Song does not appear to have abandoned software product development. Apple’s current developer pages under the name zhenyu song list numerous utility, sports, language-learning, and lifestyle applications. Some 2026 applications explicitly carry the copyright © 2026 Zach Song. The ChineseInLA iOS app itself is published by zhenyu song and copyrighted to ZachTechnology, Inc. Together with an immigration-labor filing in which the same company identifies “zhenyu song” as the employer contact and “Zach Song, President” as the employer declaration signer, the evidence strongly indicates that Zhenyu Song and Zach Song refer to the same core operator. 2. Family background and early life: public information is extremely limited, but the 2003 move from Shanghai to the United States is the most important verified personal event for understanding his later entrepreneurial path. Reliable public sources do not establish Song’s date of birth, precise birthplace, parents’ occupations, family class background, childhood environment, or siblings. Public information is limited / currently cannot be confirmed. The Los Angeles Times establishes only that Song and his wife came to the United States from Shanghai in 2003; this should not be converted into an unsupported claim that he was necessarily born in Shanghai. That migration experience was later transformed almost directly into ChineseInLA’s product thesis. Song explicitly connected the site’s original purpose with the helplessness he and his wife felt when they first arrived. The first-principles question behind the business was therefore not “How do we build a media company?” but “How can a Chinese-speaking person in America quickly obtain locally actionable information?” This also explains why ChineseInLA did not evolve like a traditional newspaper. The highest-frequency user needs involved housing, jobs, second-hand commerce, businesses, and professional services rather than merely reading articles. Song followed actual user behavior and transformed the original knowledge base into a transaction, classifieds, and review platform. There is no reliable evidence identifying a particular intellectual mentor, professor, or business guru as a decisive influence on Song. What can be identified with much greater confidence are four structural influences: the information helplessness of immigration, the Wiki/classified/review models of 2000s Web 2.0, the growth of Chinese immigration in Southern California, and later the migration toward mobile Internet and WeChat. The first two are directly reflected in Song’s description of the product’s evolution; the latter two align with ChineseInLA’s later growth in traffic, WeChat distribution, and mobile applications. 3. Education and early professional career: the clearest public English-language trail points to Shanghai Jiao Tong University and a software-architecture role connected with Newegg. A public LinkedIn search result for Zach Song lists Shanghai Jiao Tong University in his education history, identifies him as a Software Solution Architect, and associates him with Newegg.com, with West Covina, California as his location. The publicly accessible search index does not establish his major, degree, graduation status, or years of attendance, so those details cannot responsibly be added. The most defensible conclusion is therefore that his underlying professional skill set was rooted in software and systems rather than reporting, advertising sales, or conventional publishing. The precise dates of his Newegg employment are not publicly established, so it would be inaccurate to call it definitively his “first job in America.” It is, however, the clearest representative professional experience publicly visible outside his own ventures. That technical foundation is important. ChineseInLA evolved from a knowledge base into classifieds, business databases, forums, search, mobile products, apps, multi-city replication, and eventually a large collection of independent software utilities. Combined with the fact that he was still publishing applications in Apple’s ecosystem in 2026, the evidence supports describing Song as a technical-founder/operator rather than a media founder whose career depended on personal writing or editorial prestige. That is an analytical inference based on his professional and product trajectory. 4. ChineseInLA’s entrepreneurial development can be divided into four major product reconstructions. The first phase, beginning around 2006, was a newcomer knowledge base. ChineseInLA.com launched in 2006. Song initially built it as something resembling a Wikipedia-style repository for Chinese newcomers who did not know local rules or where to obtain information. At this stage, the product was fundamentally closer to a community knowledge base, with monetization not yet the central organizing principle. The second phase was classification and business-directory conversion. As user behavior changed, the site discovered that people were most active not in writing encyclopedia entries, but in selling goods, finding apartments, seeking employment, and locating businesses. Song therefore redesigned it into a Craigslist-style classified marketplace and added Yelp-like business information and reviews. This was a decisive transition because it transformed ChineseInLA from a “content website” into a marketplace with recurring supply and demand. The third phase was traffic-driven media expansion. Once online advertising became the principal source of revenue, news and forums were no longer merely community appendages. They became mechanisms for increasing visitation frequency and pageviews. Song explicitly told the Los Angeles Times that Chinese-language news and discussion forums were introduced to attract traffic after advertising became the main revenue source. This means ChineseInLA’s news operation is best understood as one part of a larger commercial flywheel. News and discussion generate habitual visits; habitual visits create advertising inventory; classifieds and business directories attract users with strong commercial intent; local merchants are then willing to pay for exposure to those users. ChineseInLA did not first build journalism and then search for a business model. In important respects, the sequence was reversed: the local-service and transaction layer came first, while content later became a traffic-acquisition layer. The fourth phase was network expansion, mobile migration, and video. The company’s 2019 materials say NYChinaRen.com and ChineseInSFBay.com were established in 2010, SeattleChinaRen.com in 2012, a China branch in 2013, a redesigned website in 2014, mobile web and an app in 2015, and HOW Video in 2016. At that point, ChineseInLA was no longer merely one domain. It was replicating on three levels: first, cloning the Los Angeles model into additional cities; second, migrating website users to WeChat, Weibo, apps, and newsletters; and third, using video to create content about American life that could be consumed across geographic markets. 5. The platform matrix: the legal relationship is clearest for four core sites, while the broader “17-site network” is primarily documented through the company’s own marketing materials. A 2019 San Bernardino County fictitious-business-name statement lists NYChinaRen.com, ChineseInLA.com, SeattleChinaRen.com, and ChineseInSFBay.com as businesses operated by Zach Technology, Inc., then using an Ontario, California address. This is among the strongest pieces of public evidence linking the four core brands to a single operating company. ChineseInLA was clearly the flagship. The company’s 2019 history states that ChineseInLA was created in 2006, NYChinaRen and ChineseInSFBay in 2010, and SeattleChinaRen in 2012. By 2016, the Los Angeles Times reported that ChineseInLA had sister sites in 15 cities. By 2019, the company’s own media kit claimed a network of 17 Chinese-language websites. The 2019 distribution page listed Los Angeles, Washington DC, Sydney, Las Vegas, San Francisco, San Diego, Boston, Houston, Seattle, Hawaii, Vancouver, Atlanta, Dallas, Florida, New York, Chicago, and Philadelphia. Interestingly, the same materials described the network as covering “the whole country” while including Vancouver in Canada and Sydney in Australia. The “nationwide 17-site” language should therefore be treated as marketing shorthand rather than a literal U.S.-only administrative definition. It is also important to separate “network claims” from individually verified legal assets. The strongest corporate filing directly establishes the four core brands. A number of other city domains have historical links to Song’s email or the network, but public evidence is insufficient to treat every one of the 17 sites as an individually verified current corporate asset. Current third-party traffic estimates still support ChineseInLA’s status as the flagship. Similarweb’s June 2026 estimates place ChineseInLA at approximately #187,198 globally, compared with about #407,078 for NYChinaRen, #393,254 for ChineseInSFBay, and #2,039,989 for SeattleChinaRen. These are modeled estimates rather than internal analytics, but they support the conclusion that Los Angeles remains one of the strongest properties in the network. 6. Brands and assets: the most useful distinction is between controllable “hard assets” and accumulated “influence assets.” The first hard asset is the corporate entity Zach Technology, Inc. Dun & Bradstreet identifies ZHENYU SONG as a key principal of Zach Technology and associates CHINESEINLA.COM with the business. The 2019 fictitious-business filing places the four core site names under the same corporation. The second category is trademarks. The CHINESEINLA.COM U.S. trademark was filed in January 2020 and registered in September 2020 under registration number 6140297, owned by Zach Technology Inc. Its goods-and-services description is revealing: the mark covers advertising, promotion and marketing, and online web-directory services rather than primarily “news publishing.” NYCHINAREN.COM was likewise filed by Zach Technology Inc. in January 2020 and registered in September 2020 as registration number 6140299, with a similar advertising, marketing, and directory-services scope. Public trademark indexes also show Zach Technology making trademark filings around other network brands such as ChineseInSFBay. By around 2020, the company was therefore converting what had previously been community/domain brands into more formally protected intellectual-property assets. A third category is mobile applications and software products. The current Google Play listing for “华人资讯” identifies ChineseInLA as the publisher, shows more than 100K downloads and advertising, and names zhenyu Song as the developer. Its description explicitly states that the Los Angeles Chinese Information Network, New York Chinese Information Network, and Bay Area Chinese Information Network are affiliated with ZachTechnology, Inc. Apple’s version of the same Chinese-information app lists zhenyu song as the seller/developer and © ZachTechnology,Inc. as the copyright holder. The fourth category is HOW Video. According to the company, HOW Video was established in 2016 to invite specialists from different fields to explain practical knowledge about living in the United States. By October 21, 2019, company materials claimed more than 130 million cumulative views and more than 280,000 subscribers. Because these figures come from the company’s own media kit, they should be treated as historical company claims rather than independently audited metrics. The fifth category, and potentially the most valuable over time, consists of influence assets: years of classified listings, user accounts and forum discussions, local-business directories, search ranking, direct-navigation habits, social-media audiences, and the Chinese-language brand identity of “洛杉矶华人资讯网.” In 2016, a newcomer searching Google in Chinese for “Los Angeles immigrant” reportedly encountered ChineseInLA as the first result. In 2026, Similarweb still estimates that roughly 52% of desktop traffic comes from direct visits, with organic search as the second-largest channel. That combination suggests that both residual brand habit and search visibility remain meaningful. From an asset perspective, ChineseInLA’s most defensible moat was therefore probably never its code alone. It was the density of local information, accumulated search authority, merchant relationships, and user habits built over many years. That is a platform asset rather than a conventional media copyright asset. 7. Capital, partners, and organizational network: the public structure looks more like a founder-controlled, cash-flow-oriented private business than a venture-capital-driven platform. On financing, public information is limited. Across the English-language corporate records, trademark files, fictitious-business filings, and major public reporting reviewed here, there is no widely disclosed VC/PE funding history, major institutional shareholder, foundation ownership structure, or acquisition by a large media group comparable to what would normally be disclosed for a venture-backed technology startup. D&B identifies Zhenyu Song as a key principal, while the principal brands and trademarks remain concentrated under Zach Technology Inc. The careful conclusion is therefore that the public structure resembles a founder-controlled private operating company; this does not prove that no private investor has ever existed. Its most important “capital” may have been commercial-network capital rather than financial capital. High-value advertisers on ChineseInLA naturally cluster around real estate, legal services, immigration, insurance, automobiles, travel, education, restaurants, and finance—categories where newcomers require localized, trust-sensitive, often high-ticket services. The company’s 2019 materials say it had long cultivated recruitment, real estate, cars, travel, finance, law, food, and second-hand verticals. The company’s 2019 advertiser slide displayed the logos of Farmers Insurance, Toyota, Ctrip, JCPenney, McDonald’s, Acura, Universal, Air China, and Honda. A strict qualification is necessary: these were presented by ChineseInLA itself as advertisers; this research has not independently verified the size, duration, or corporate level of each contractual relationship. On organizational scale, one indexed 2023 PERM filing reported an employee total of 40 for Zach Technology, named zhenyu song as the employer contact, used support@chineseinla.com , and identified Zach Song, President as the employer declaration signer. That is a filing-specific employer declaration, not a real-time 2026 headcount, but it demonstrates that the organization was more than a one-person personal website. Earlier H-1B/LCA public indexes also show roles in public relations, broadcast-news analysis, systems, financial analysis, and multimedia. That mix is consistent with the actual shape of the company: engineering, content/editorial, advertising, design/video, and commercial operations were all necessary. Visa filings should not be mistaken for a complete organizational chart. There is also an important China-side operational clue. The company’s own timeline states that a China branch was established in 2013. In the later app ecosystem, some Google Play products are published by Beijing Yichu Network Technology Co., Ltd. while using @NYChinaRen.com support addresses; related privacy documentation connects the Android-side Beijing Yichu publisher with the Apple-side zhenyu song developer for the same product/backend environment. This is strong evidence of an operational technology relationship, but the equity or control relationship between Beijing Yichu and Zach Technology cannot currently be established from public information. 8. Business model: fundamentally, free supply creates network effects, content creates visitation frequency, and local commercial intent is monetized through advertising. The most important feature of ChineseInLA’s model is that ordinary users generate much of the supply for free. The company’s 2019 materials describe ChineseInLA as a local-life information-sharing website for Chinese residents of Greater Los Angeles that provides a free classified-information publishing platform for local Chinese users and merchants. Housing, employment, Q&A, immigration, attorneys, restaurants, business reviews, and related categories generate substantial user-produced inventory. That architecture provides three advantages. First, some content-production costs are outsourced to users. Second, classifieds naturally generate large numbers of long-tail search pages. Third, users arriving on those pages often have strong transactional intent: they are looking for apartments, jobs, attorneys, cars, restaurants, or immigration help rather than casually consuming general news. That can make each unit of traffic commercially more valuable to local merchants than ordinary general-news traffic. The more than 680,000 listings reported in 2016 show how large that supply system had become. Advertising sits on top of that free supply. Song explicitly said in 2016 that online advertising had become the site’s principal revenue source. By 2019, the media kit displayed a fairly complete advertising suite: display ads, stream/native-style advertising, article advertisements, video ads, bidding ads, and paid top-position placements. The platform was therefore monetizing not only banners, but also content integration, video, rank/position, and auction-like exposure. The commercial loop can be summarized as follows: (1) Free classifieds and UGC create supply. (2) Supply is indexed by search engines and shared by users, creating new traffic. (3) News, forums, trending topics, and HOW Video increase visit frequency. (4) Business directories and classified pages concentrate traffic around high-commercial-intent situations. (5) Merchants purchase advertising, articles, video, promoted placement, and exposure. (6) Revenue finances ongoing platform operations and additional content. The company subsequently expanded into newsletters, WeChat, Weibo, Facebook, and other channels. Its 2019 materials claimed approximately 170,000 WeChat followers and 69,000 Weibo followers for ChineseInLA, about 120,000 and 20,000 respectively for NYChinaRen, and more than 50,000 newsletter subscribers. These are company-reported historical figures, but they show that the commercial system had expanded from a single website into a cross-site, WeChat, social, email, and video marketing network targeting Chinese residents in the United States. The same 2019 materials claimed more than 120 million pageviews for ChineseInLA, over 18 million for New York, over 17 million for the Bay Area, and over 4.2 million for Seattle. Because the chart itself appears populated only through approximately September, these figures should be viewed as company sales-deck metrics rather than audited annual financial or audience data. A subscription paywall was never essential to this logic. The user proposition was largely “free,” while the paying customer was typically the merchant seeking access to that audience. In economic terms, ChineseInLA monetized highly aggregated Chinese-American attention and commercial intent, rather than charging Chinese-language readers directly for access. 9. Condensed into a timeline, the most important years are the following. (1) 2003: Zach Song and his wife came to the United States from Shanghai. He later explicitly connected the helplessness of that experience to the motivation for ChineseInLA. (2) 2006: ChineseInLA launched, initially as a Wikipedia-like newcomer knowledge repository. (3) Early post-2006 period: User demand shifted toward buying, selling, and practical local information, leading to a Craigslist-like classifieds and Yelp-like business-review model. Online advertising subsequently became the main revenue source, and Chinese-language news and forums were introduced to generate traffic. Public reporting does not establish exact dates for each redesign. (4) Around 2008: A later labor filing describes Zach Technology’s employer business history as beginning in 2008. This is consistent with a structure in which the website launched in 2006 and the corporate operating entity followed later, but 2008 should not be mistaken for ChineseInLA’s founding year. (5) 2010: Company materials say the Los Angeles office was formally established and ChineseInSFBay.com and NYChinaRen.com were launched. A later fictitious-business filing confirms that the core sites were operated under Zach Technology. (6) 2012: SeattleChinaRen.com was established. (7) 2013: The company says it established a China branch, suggesting that development, content, or back-office capacity may have begun to be allocated across borders. The exact staffing and legal structure of that branch remain publicly unclear. (8) 2014: The website was redesigned, and company materials say the Los Angeles WeChat public account was established. (9) 2015: A mobile version of the website and an app were launched, reflecting the migration of users from desktop to mobile. (10) 2016: This is the year ChineseInLA’s public influence is most clearly documented by independent English-language reporting. The Los Angeles Times reported more than 680,000 listings, 350,000 registered users, approximately two million monthly visits, and sister sites in 15 cities. The company also says app installations exceeded 100,000 and HOW Video was created. (11) 2018: The company later claimed that app installs had exceeded 500,000 and HOW Video subscribers exceeded 100,000. (12) 2019: The company claimed a 17-site network, more than 130 million cumulative HOW Video views and 280,000 subscribers by October 21, and presented its website, WeChat, and traffic metrics as mature advertising assets. All of these figures are company-reported. (13) 2020: ChineseInLA, NYChinaRen, and other core brands moved into federal trademark registration, turning long-standing community/domain brands into more formal intellectual-property assets. (14) Mid-2020s: ChineseInLA’s website and app continued operating, but third-party open-web traffic estimates were materially below the historical levels reported in 2016. At the same time, Zach/Zhenyu Song’s developer account continued to release numerous independent software applications. (15) 2026: Apple listings under zhenyu song continued to receive frequent updates across language-learning, sports, and utility categories, with several products carrying © 2026 Zach Song. This indicates that his current real-world role still includes active software/product development rather than merely passive ownership of a legacy ChineseInLA asset. 10. Several decisions materially changed the trajectory of the business. The first was not insisting on the original encyclopedia concept and instead following user behavior into classifieds. Many founders become attached to their first concept. ChineseInLA’s decisive move was to acknowledge that users actually wanted to sell things and solve practical problems. This converted low-frequency knowledge consumption into high-frequency supply-and-demand activity and created network effects. The second was layering business listings and reviews on top of classifieds. That expanded the platform from C2C interaction into B2C discovery. Restaurants, attorneys, real-estate businesses, auto companies, travel firms, education providers, insurers, and others could now occupy searchable, reviewable, and advertisable positions inside the ecosystem. The third was using news and forums to support commercial traffic without converting the platform into a conventional media company. This was commercially pragmatic. Users do not need an attorney or apartment every day, but they may return daily for news and discussions. High-frequency content therefore fed recurring traffic into lower-frequency but high-value commercial use cases. The fourth was replicating by city rather than building only one abstract national community. NYChinaRen, ChineseInSFBay, and SeattleChinaRen all have strong geographic identities. Local services are inherently geographic, so city-specific sites can accumulate local SEO, merchant relationships, and user trust more effectively than a generic national brand. The shared corporate registration and later trademark strategy show that the matrix became part of the formal business architecture rather than remaining a temporary experiment. The fifth was not placing all distribution dependence on the open web. The sequence of WeChat in 2014, apps in 2015, and HOW Video in 2016 shows an attempt to follow the media-consumption migration of overseas Chinese users. HOW Video was especially important because it could create content that was not tied to one city’s classified pages. A later change appears to be Song’s own return to broader software-product development. His current Apple developer page contains not only the Chinese information app but also parking, scoring, unit conversion, U.S. immigration visa-bulletin, language-learning, and sports-tactics products. Multiple 2026 products are explicitly copyrighted to Zach Song. They cannot all be assumed to be Zach Technology corporate property, but they demonstrate that his entrepreneurial activity has expanded from “Chinese-American media” into a broader portfolio of software and utility products. 11. His greatest achievement was not a famous article or a body of ideas, but building what was, for a period, a very powerful Chinese-American information gateway. By 2016, ChineseInLA had reached a meaningful threshold: more than 680,000 listings, 350,000 registered users, roughly two million monthly visits, and sister sites in 15 cities. Symbolically, a newcomer searching Google in Chinese for “Los Angeles immigrant” encountered ChineseInLA as the first result. At that point, it functioned as more than a website. For part of the Chinese-speaking immigrant population, it had become a default interface for understanding Los Angeles. Users found jobs, apartments, and merchants there; merchants found Chinese customers; newcomers used it to understand local life; forums and content brought them back repeatedly. For people with limited English, it partially reproduced within one Chinese-language environment the functions that the English-language Internet distributed across Craigslist, Yelp, local directories, forums, and news portals. Paradoxically, one of its strengths was precisely that it was “messy.” From a conventional product-design perspective, combining news, apartments, employment, attorneys, restaurants, second-hand commerce, forums, Q&A, complaint/exposure sections, and business reviews can look chaotic. From the perspective of a new immigrant’s first months or years in America, however, all of those needs occur in the same life journey. ChineseInLA’s messiness was therefore partly a consequence of acting as practical information infrastructure. Commercially, Song transformed a social problem—linguistic and cultural information friction—into a sustainable advertising market. That may be his central entrepreneurial accomplishment. The less effectively the mainstream English-language Internet served a particular newcomer population, the more valuable ChineseInLA became both to those users and to merchants attempting to reach them. The Los Angeles Times article was, at its core, an examination of precisely this “parallel Chinese-language Internet.” Replication was another significant result. NYChinaRen and the other city sites were not merely different logos; they represented the replication of the “local Chinese information gateway” template into multiple markets under a shared corporate structure. The most important historical reason to remember Zach Song, therefore, is not that he became a highly visible public personality. It is that he recognized an unusual window in the U.S. Chinese-language Internet when the language gap faced by new mainland Chinese immigrants intersected with smartphone adoption and intense demand for localized services. 12. Negative information, controversy, and failure: there is no reliable basis for characterizing Song as an entrepreneur defined by a major scandal; the verifiable issues are primarily product quality, platform governance, and limited commercial litigation. The clearest criticism comes from the Los Angeles Times itself. The article described the 2016 site as a “disorganized Yelp-meets-Craigslist hybrid,” and reported that one newcomer initially suspected that some posts might be phishing scams. Song himself acknowledged that the design was chaotic. This was more than an aesthetic issue. It was a side effect of the business model. When a platform derives much of its value from enormous quantities of user-generated classifieds, it inevitably faces problems of authenticity, scams, duplication, low-quality posts, boundaries between advertisements and content, and the reliability of business reviews. The phishing perception documented by the Los Angeles Times shows that even at ChineseInLA’s strongest period, the platform had not eliminated the fundamental governance tension between information density and information trust. Current app ratings are also not exceptionally strong. Google Play presently shows a 3.8-star rating, roughly 601 reviews, and 100K+ downloads; the U.S. Apple listing shows roughly 447 ratings and approximately 3.3 stars. A visible Google Play review complains about lack of customer-service response. One review cannot establish overall service quality, but the aggregate ratings indicate that the mobile product is not a universally high-satisfaction consumer app. Legally, a public docket index shows Ru Hong Liu v. Zach Technology Inc. dba Chineseinla.com, filed in Los Angeles County in August 2018 as a general small-claims matter. The currently accessible public search material is insufficient to reconstruct the underlying allegations, amount sought, or final disposition reliably. It is therefore appropriate only to say that the small-claims action existed, not to infer major wrongdoing or fraud. Within the relatively reliable public materials located in this research, there is not sufficient evidence to support conclusions involving major criminal proceedings, securities fraud, a major financing scandal, a significant copyright judgment, or a major personal-ethics scandal involving Song. The more accurate characterization is that the verifiable criticism centers on platform quality and UGC governance rather than a founder-centered scandal. A more consequential form of “failure” or retreat is the decline in relative open-web influence. The approximately two million monthly visits reported in 2016 and Semrush’s roughly 100,000 monthly visits estimate for June 2026 are dramatically different in scale. Because the former comes from a decade-old report and the latter from a third-party modeling service—and because mobile apps, social platforms, and measurement methodologies have changed—it would be incorrect to calculate an exact “95% decline.” Directionally, however, ChineseInLA’s open-web presence no longer appears to occupy the peak position it held around the middle of the 2010s. It would be overly simplistic to attribute that solely to a management error. More plausible structural explanations include the migration of Chinese users toward WeChat, Xiaohongshu, private chat groups, short-video platforms, and other newer ecosystems; improvements in Google and mainstream local platforms; greater bilingual capability among newer users; and the general maturation of forum/classified-web formats. These are structural industry inferences rather than explanations publicly given by Song. 13. His real-world position in 2026: ChineseInLA is still a “living legacy infrastructure,” while Zach Song looks like a low-profile technical operator who continues to build products. The website has not disappeared. Similarweb still records meaningful traffic in June 2026 and estimates that roughly 94% of desktop traffic originates in the United States. Semrush estimates approximately 99,990 visits for the same month, around 9.78 pages per visit, and an average session of roughly 9 minutes and 42 seconds. The absolute numbers differ across models, but both indicate a remaining group of relatively engaged users. Direct traffic is particularly noteworthy. Similarweb estimates approximately 52.13% of desktop visits as direct, with organic search second; Semrush estimates direct at roughly 49.61% and Google at about 32.38%. The directional agreement suggests that ChineseInLA still retains a meaningful direct-navigation/brand habit rather than surviving only through accidental search referrals. The broader matrix has not entirely disappeared either. Similarweb in 2026 still identifies NYChinaRen, ChineseInSFBay, SeattleChinaRen, and ChicagoChinaRen among the sites most similar to ChineseInLA. The mobile product looks more like a mature legacy asset. The Chinese information app remains available on Google Play with 100K+ downloads, and its most recently displayed update date is June 14, 2024. By contrast, Song’s personal software-development activity appears quite active in 2026. Apple’s zhenyu song developer page includes Park Here, a badminton scorekeeper, unit converters, a U.S. immigration visa-bulletin app, and ChineseInLA. Numerous new Chinese, Vietnamese, Cantonese, Thai, and other “1000 Words” language-learning products and sports utilities appeared or were updated in 2026, with several applications explicitly carrying © 2026 Zach Song. That slightly changes the contemporary interpretation of him: ChineseInLA may be his most historically consequential venture, but it does not appear to be his only current product identity. In terms of public persona, Song has not built the sort of personal brand associated with a media celebrity, public intellectual, or political commentator. The publicly searchable record is much more brand-centric than founder-centric: ChineseInLA is more visible than Zach Song himself. His influence is embedded primarily in products and infrastructure rather than books, speeches, a consulting franchise, a foundation, or an identifiable school of thought. Public sources do not provide a basis for treating those activities as major parts of his commercial model. If his structural position has to be summarized in one sentence: Zach Song is a software-oriented founder who entered the Chinese-American Internet through the information problems of immigrants, repeatedly transformed a newcomer knowledge base into classifieds, business directories, forums, news, advertising, social distribution, video, and a multi-city website network, and ultimately accumulated a durable set of brands and operating assets controlled through Zach Technology. ChineseInLA’s most important historical contribution was not the invention of a new form of journalism. It demonstrated a more basic commercial principle: when the mainstream Internet cannot serve an immigrant population effectively at the necessary level of language, culture, and locality, a vertical ethnic platform can build its own network effects and advertising market through superior relevance. The 2016 scale, the later 17-site matrix, WeChat and video expansion, and the direct traffic that remains today collectively show that this model worked for a substantial period. Its long-term limitation is equally clear. The advantage depends partly on information asymmetry, and information asymmetry erodes as users become more bilingual, platforms fragment, and newer social products emerge. ChineseInLA still has value, but based on the public traffic indicators available today, it is better characterized as a mature community asset with deep historical accumulation and localized network effects than as a platform that is still expanding its dominance across the Chinese-American Internet. The most accurate final portrait, therefore, is neither “Chinese-media tycoon” nor “thought leader.” It is closer to this: a low-profile technical entrepreneur; an unusually early observer of the local-information needs of Chinese immigrants in America; a founder who turned language barriers into an Internet business opportunity; and the builder of a remarkably durable, though now mature, Chinese-American local-information network.
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