FounderAI AI-powered startup roadmaps and validation tools

Hacker News

Hi HN, I built FounderAI after watching too many great startup ideas die in notebooks (including several of my own). The problem isn't lack of good ideas – it's the overwhelming journey from concept to execution. FounderAI gives you: - Weekly personalized roadmaps based on your specific idea and market - AI-powered market analysis and idea validation before you build - Progress tracking and a community of founders facing similar challenges with ala-Github calendar - Step-by-step guidance instead of generic business advice It's not another "business plan generator." Think of it as an AI co-founder that keeps you moving forward when you'd normally get stuck or give up. I've been testing this with a small group of founders for the past few weeks. The feedback has been encouraging – people are actually shipping products instead of just planning them. Would love your thoughts, especially from anyone who's been through the early startup grind. Live at: https://founderaiapp.com/ Also launching on Product Hunt: https://www.producthunt.com/products/founderai Happy to answer any questions about the tech stack (it was RN+expo first, then moved to Swift and Claude Code coz dont talk Swift haha), approach, or anything else!

Visit product View on Hacker NewsSep 26, 2025

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2points

Did not reach leaderboard

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

21%21% 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.

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

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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