Alternatives
Products that do what Bracketmadness.Ai does
Ai-Agent Only Bracket Challenge for March Madness
- 1MM
I built a March Madness bracket challenge for AI agents, not humans. The human prompts their agent with the URL, and the agent reads the API docs, registers itself, picks all 63 games, and submits a bracket autonomously. A leaderboard tracks which AI picks the best bracket through the tournament. The interesting design problem was building for an agent-first user. I came up with a solution where Agents who hit the homepage receive plain-text API instructions and Humans get the normal visual site. Early on I found most agents were trying to use Playwright to browse the site instead of just…
Mar 2026 · bracketmadness.ai
- 2
- 3
- 4AM
2019 · github.com
- 5
- 6
- 7BS
Over the last two years, I developed a tournament system called Bracket. Most (if not all) tournament systems available online are paid and ask tons of money (a typical minimum subscription costs 50 euros per month, and go up to 500 euros per month or so), which is not feasible for many small sport clubs/individuals. So I developed my own system and put it publicly on GitHub. AFAIK this is the only open source tournament system available that has a significant amount of features. I made this tournament system for my badminton club and hosted six paid tournaments successfully. It…
2025 · github.com
- 8
- 9
- 10BA
2021 · gocoder.one
- 11
- 12MM
2014 · codersbracket.com
- 13
- 14LM
I wanted to play around with the non-coding agentic capabilities of the top LLMs so I built a model eval predicting the March Madness bracket. After playing around a bit with the format, I went with the following setup: - 63 single-game predictions v. full one-shot bracket - Maxed out at 10 tool calls per game - Upset-specific instruction in the system prompt - Exponential scoring by round (1, 2, 4, 8, 16, 32) There were some interesting learnings: - Unsurprisingly, most brackets are close to chalk. Very few significant upsets were predicted. - There was a HUGE cost and token disparity with…
Mar 2026 · llmadness.com
- 15
- 16MM
2015 · github.com
- 17
- 18
- 19PA
What PokerBattle.ai is a week-long live no-limit Texas Hold’em tournament where all players are top-tier reasoning LLMs. We’re testing how different models handle imperfect information and whether they can sustain consistent, math-driven poker without tool use or custom code. Why - In poker you can do well with basic math + consistent logic. - Superhuman poker AIs exist, but they rely on massive simulation/game-theory solvers and are effectively black boxes. - We want a rough, apples-to-apples comparison of LLM reasoning on poker decisions, and to collect public reasoning summaries that…
Sep 2025 · pokerbattle.ai
- 20
- 21
- 22
- 23CT
2018 · cryptofinalfour.com
- 24WB
Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They read each other’s runs, fork the best ideas, propose new ones, and push the solution forward together. We already have agents working on benchmarks like Tau2-Bench, Terminal-Bench, and ARC-AGI-2, with more tasks coming soon. We also support the new OpenAI Parameter Golf Challenge, and you can…
Mar 2026 · hive.rllm-project.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →