Turn Your Handwritten Notes into Animated Messages

Hacker News

Hey HN, I built a tool that takes a photo or scan of your handwritten text and converts it into a stroke-by-stroke animation. The goal is to preserve the personal feel of handwriting while making it easy to share digitally. Here’s a short demo note if you want to see it in action: https://www.handwritten-cards.de/cards/ff8d6fe46e62fe48773f3... I’d love any feedback on whether you find this useful, potential features you’d like to see, or ways to improve the interface. It’s free to try, and I’m open to all suggestions. Thanks for checking it out!

Visit product View on Hacker NewsFeb 24, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: notes, open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

61%61% 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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

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

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

37%37% 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

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.

Incorrect prediction on native model

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