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Mirrow – TypeScript DSL for animated SVGs with compile-time checks

Hacker News

Mirrow – TypeScript DSL for animated SVGs with compile-time checks

Mirrow is a small TypeScript DSL that compiles to SVG. It aims to make SVG and animation simpler without JSX or hand rolled CSS. Highlights: - Compile time checks and attribute validation - Inline events like on:click and @hover - CLI to turn .mirrow files into static SVGs or use as components Quick try: npx mirrow -i example.mirrow -o example.svg Playground: [ https://mirrow.app/playground ]( https://mirrow.app/playground ) GitHub: [ https://github.com/MirrowApp/mirrow ]( https://github.com/MirrowApp/mirrow ) Feedback on DX, docs, and rough edges is very welcome. Thank you

Visit product View on Hacker NewsSep 23, 2025

Actual performance

3points

2comments

Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% 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 · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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