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IconLab – AI-Powered App Icon Generator by a 13-Year-Old Dev

Hacker News

IconLab – AI-Powered App Icon Generator by a 13-Year-Old Dev

Hey HN, I'm a 13-year-old full-stack dev and ML engineer who built IconLab, an AI-powered tool to generate app icons for indie developers. I know how tough it is to create professional icons without hiring a designer or spending hours in Photoshop, so I made this to help devs like me get polished icons fast and cheap. It’s a production-ready MVP, and I’d love your feedback! Try it out here: https://www.iconlab.site What do you think—useful for your projects? Any features you’d want added?

Visit product View on Hacker NewsAug 23, 2025

Actual performance

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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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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