ScriptSpool – Create code animations in the browser

Hacker News

I originally built ScriptSpool because I wanted to make short code animations for my own development tutorials. I looked at a few similar tools and projects online. Many of them felt either too limited, while using a full video editor was just too much work for what I wanted to achieve. So I decided to build something I would actually use: paste some code, choose a theme and animation, adjust the speed, and export. It started as a very simple typing animation tool. I then added line-by-line playback, GIF export, long PNG screenshots, themes, window styles, and a few other things. Everything runs in the browser, and your code isn't uploaded to a server for processing. I'm curious whether character-by-character or line-by-line playback is actually useful for real development tutorials, and what other use cases I might be missing.

Visit product View on Hacker NewsAug 31, 2026

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

88%88% 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: using, code · Missing: mac, agents, macos

61%61% 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

45%45% predicted probability of success on AppSumo, 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

45%45% 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: video · Missing: mobile apps, ios, personal

31%31% 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.

Correct prediction on native model

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