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Don't Ask Me – An AI that refuses to answer and makes you think

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Don't Ask Me – An AI that refuses to answer and makes you think

Hey HN, I built Don’t Ask Me — an AI chat app that does the opposite of what most AIs do. Instead of giving you instant answers, it helps you reason things out, reflect, and build your own conclusions. The idea came from noticing how easy it’s become to outsource thinking to LLMs. I wanted to experiment with a tool that doesn’t take over your thinking — but guides it. How it works: You ask a question or describe a problem. Instead of replying with a final answer, the AI asks you questions back. It helps you unpack assumptions, find contradictions, and explore perspectives. The goal isn’t to “get an answer” — it’s to think better. Why: I wanted something between journaling, Socratic dialogue, and ChatGPT — something that builds resilience of thought instead of dependency. Note: This is very much an MVP — just the first working version of the concept. There’s still rough edges, limited depth, and no fancy onboarding yet. I’m more interested in validating whether this type of AI interaction feels valuable at all before polishing it. I’d genuinely like your thoughts on: Whether the “refuse to answer” approach feels helpful or just frustrating The UX of being challenged instead of spoon-fed Any ideas for making the reasoning scaffolding smarter or less repetitive

Visit productView on Hacker NewsOct 21, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt · Missing: mac, agents, macos
81%81% 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 · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: answers · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
28%28% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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