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Agent Arena – crowdsourced testbed for evaluating AI agents in the wild
Hacker NewsAgent Arena – crowdsourced testbed for evaluating AI agents in the wild
We just launched Agent Arena -- a crowdsourced testbed for evaluating AI agents in the wild. Think Chatbot Arena, but for agents. It’s completely free to run matches. We cover the inference. I always find myself debating whether to use 4o or o3, but now I just try both on Agent Arena! Try it out: https://obl.dev/
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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor86%86% 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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua · Missing: https docs, excited, just released31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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