I Made the First AI CSS Animation Generator

Hacker News

Over the past two weeks I've built a free AI-driven CSS animation generator with a freemium editor. I built it with Sveltekit, Postgres, Tailwind, and Claude Opus 3. As a developer, I was frustrated with the tedious process of writing keyframe animations and the lack of good tools available. So, I decided to build my own solution. After two weeks of intense development, the UI and core features are ready. Now, I'm reaching out to the startup community for feedback and beta testers to help refine things further :) If you're interested in making some slick animations for your site, I'd love for you to try it out and share your thoughts!

Visit product View on Hacker NewsMay 24, 2024

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

80%80% 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 · Missing: mac, agents, macos

57%57% 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

50%50% 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

46%46% 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

23%23% 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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