Repaint – A visual editor for HTML and CSS

Hacker News

We’re Izak and Ben the founders of Repaint (YC S23). Repaint is an editor, like Figma, that natively exports code. We launched Repaint on HN a little over a month ago. At that point, it was a website builder. There was a lot of feedback that Repaint should directly export code. We took this feedback and decided to change the editor. We completely cut website hosting and decided to focus solely on code export. We’ve added templates for login forms and dashboards to help you get started. The editor experience is similar to Figma. It is a WebGL canvas that has panning and zooming. The internal data-structure is a DOM, like HTML. The style attributes on each node map directly to CSS. Exporting the styles has no translation problems. At Repaint, we spend a lot of time translating designs to code. We’re excited to build something that will help improve our own workflow. We’re hoping to talk to anyone who has issues translating designs to code. If this is something that would help you, please to reach out to izak@repaint.com. Main Website: https://repaint.com Contact: izak@repaint.com

Visit product View on Hacker NewsOct 18, 2024

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

90%90% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, builder · Missing: plus, platform, intuitive

39%39% 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

15%15% 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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