Talk to 3000 ICLR 2025 (machine learning conference) papers

Hacker News

ICLR is one of the top machine learning / AI conferences. We put the over 3000+ accepted papers into a “Pod” which you can chat. Example queries: “find papers with more than one OpenAI-affiliated author” “find papers that propose alternatives to Transformer architecture in LLM” “give an overview of all spotlight or oral papers with Yann Lecun as author” RadPod is an agentic AI system that supports reasoning over a large amount of context, in this case over 90M tokens, with high accuracy.

Visit product View on Hacker NewsApr 23, 2025

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3points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agent, agentic · Missing: agents, macos, cursor

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000 · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

45%45% predicted probability of success on BetaList, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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