Acceptodds a prediction market on which ICLR 2027 papers get accepted

Details

External ID

49976376

Source

HN

Company

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Product

Acceptodds a prediction market on which ICLR 2027 papers get accepted

Website domain

acceptodds.com

Launched

Oct. 6, 2026

Cohort

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Upvotes

6

Upvotes percentile

0.28

Tags

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Description

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/mapHow 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 :)

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