Free AI Mobile App Generator

Hacker News

Hi HN About three weeks ago, I was playing around with the popular app generation tools, but at the time, none of the major platforms supported mobile app gen. So I thought it would be a fun weekend project to build such a tool. Since then, a number of tools for app gen have been released. But I thought it would still be fun to release what I worked on. Here's Bfloat. It's free. Lmk what you think. It's currently supported by OpenAI credits. Otherwise, let me know what could be improved. Currently, the app is not designed to be responsive, so it's best used on larger screens like laptops and desktops. To use, just prompt with an app idea.

Visit product View on Hacker NewsFeb 24, 2025

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Actual performance

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Did not reach leaderboard

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

84%84% 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.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: openai, open · Missing: mac, agents, macos

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

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

37%37% 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

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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