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I created a free app to generate custom iOS icons–feedback wanted

Hacker News

I created a free app to generate custom iOS icons–feedback wanted

Hey everyone, I've developed IconLab, an app that lets you transform your iPhone's look in minutes with AI-powered custom app icons. It's free to try, and no design skills are needed — AI does the magic! I'm turning to this community because I need some feedback. What features would make this app more useful? Are there specific styles or themes you'd love to see included? You can check it out on iconlab.me I'm committed to improving it based on your feedback! Thanks, and I can't wait to hear your thoughts!

Visit productView on Hacker NewsOct 19, 2024
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Indie HackersFits the IH revenue-focused audience · Strong signals: created, ios · Missing: supports, reddit linkedin, podcasting
85%85% 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 · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
43%43% 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
41%41% predicted probability of success on AppSumo, 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
26%26% 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
18%18% 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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