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I made an AI tool to create customizable 3D animated icons

Hacker News

I made an AI tool to create customizable 3D animated icons

Hello everyone, I built lavicon.dev, an AI-powered web tool that enables users to create customizable 3D animated icons quickly and effortlessly. Designing 3D animated icons often requires specialized software and a steep learning curve. I aimed to simplify this process by providing an accessible platform where anyone can generate high-quality icons without prior design experience. Lavicon lets you export your creations as transparent static images (PNG, SVG) or animated files (GIF), all optimized for fast web performance. A dedicated sprite component also allows seamless export as sprite sheets for use in games or interactive apps. I'm eager to hear your thoughts, suggestions, or any issues you encounter. Your feedback will be invaluable in improving the tool. Thanks for checking it out!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% 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: apps, user · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, 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.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
9%9% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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