# Show HN: Acceptodds a prediction market on which ICLR 2027 papers get accepted > Source: > Published: 2026-10-06 10:03:26+00:00 Hi, I built acceptodds, a prediction market on conference peer review. Every ICLR 2027 submission (42k papers) has a market: Accept vs. Reject. Like many in the ML community, I think the current conference/paper situation is a bit broken. I'm not sure how to fix it, but this is my attempt at building something fun to get the conversation started. Some details: - Prices come from Hanson's LMSR (logarithmic market scoring rule). - You can sell and/or rebuy at any time - There's a public leaderboard that ranks traders by P&L. - It uses an in-app currency called reputation. It can't be converted to money. - Bots can trade too, and they're encouraged. If you can get an LLM to predict the market, that would be cool! There's a public HTTP API with an OpenAPI spec (/api/v1/openapi.json). - Comments are pseudonymous, like on OpenReview ("User k3xm"), but they show the author's position. - There's also a 2D map of all submissions: [https://acceptodds.com/map](https://acceptodds.com/map) How would you extend this? How should ML conference reviews work? Is there something better than open review? Go find your own paper (if you have one), place a bet and LMK what you think :) Comments URL: [https://news.ycombinator.com/item?id=49976376](https://news.ycombinator.com/item?id=49976376) Points: 3 # Comments: 0