Sequoia Capital’s Boston regional contest draws 270 teams, 5 advance to San Francisco final
Sequoia Capital’s official X account announced that the second regional round of the No Limit Bot Building Tournament it is hosting was held on Monday night in Boston. A total of 270 teams, more than 330 students, from 30 universities took part.
In the competition, the average bid by the robots for the flip in the first round was 28 chips, rising to 66 chips in the final round. The 5 winning teams will travel to San Francisco this Sunday (November 15) to take part in the final. Sequoia invited spectators to attend and watch, and thanked its partners OpenAI and Citadel Securities.
The event is open to university students and the 2025/2026 graduating class. Teams build a poker bot from scratch within 60 minutes, and are scored over multiple rounds of thousands of hands. The total prize pool is up to $100,000.
Original source: x.com/sequoia/status/2120649414691963202
ABAB AI Insight
A venture capital firm, together with an AI company and a financial institution, assesses students’ agent-building ability through a time-limited poker bot competition. Sequoia Capital, together with OpenAI and Citadel Securities, is hosting the No Limit tournament. The Boston regional round attracted 270 teams and more than 330 students, and the robots’ bids rose from an average of 28 chips in the first round to 66 chips in the final round, reflecting an upgrade in strategy.
Unlike traditional programming competitions, this format requires the agent to be built within 60 minutes and validated over multiple rounds of play. In similar cases, capital pays more attention to the scale of participation and indicators of strategy evolution than to a single win or loss. Five teams advanced to the San Francisco final, forming a selection path from regional rounds to the national final.
This regional round moved students’ agent-building from individual projects into a public competitive setting. The beneficiaries are the teams that advanced and the hosts observing agent performance; teams that did not advance gained practical feedback. The structural change is that the poker bot competition combines time-limited building, multi-round bidding evolution, and large-scale participation, forming a quantifiable screening mechanism for agent capability.
Cognitive laws
Time-limited building and multiple rounds of play cause the agent strategy to evolve from its initial bidding toward greater intensity.
The scale of the regional round and the advancement path bring student teams into a joint evaluation by capital and AI companies.
The rise in average bids from 28 to 66 quantitatively reflects the degree of strategic improvement in confrontation.