I built AI agents that debate questions LLMs usually refuse to answer

Hacker News

LLMs often refuse certain questions or give shallow answers. I was curious what would happen if instead of refusing, multiple agents: - search for information - argue with each other - and try to reach a conclusion So I built a small sandbox to test this. Some interesting things I noticed: - agents often surface unexpected sources - debates sometimes converge, but sometimes loop endlessly - framing of the question heavily changes the outcome Curious to see what kinds of questions would actually break this. If you have good edge cases, paradoxes, or controversial questions, I'd love to try them.

Visit product View on Hacker NewsMar 26, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

89%89% 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.

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

54%54% 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, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: answers, para · Missing: mobile apps, ios, personal

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

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

32%32% 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, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

ConvoClash – LLMs debate each other64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ConvoClash – LLMs debate each other

Hacker News6

Grok 4.288%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Four AI agents debate internally to build your answer

Product Hunt+274Productivity

AskYourSite27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI agents for websites that answer questions & recommend

Indie Hackerscommitment-full-time

I built an AI chatbot that learns from your website to answer questions35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an AI chatbot that learns from your website to answer questions

Hacker News2

Acorn, a theorem prover with built-in AI50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Acorn, a theorem prover with built-in AI

Hacker News4

SnapEscape69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Photo Community Built for AI Agents

Product Hunt

globalize.now27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Localization built for AI agents

Indie Hackers1ai

BoTTube59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Video Platform Built for AI Agents

Indie Hackerscommitment-side-project

I built an AI dataset generator31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an AI dataset generator

Hacker News169

Opscotch - Debate Anything63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Opscotch - Debate Anything

Hacker News2

Browse all products Analyze your launch