Puck – Open-source visual editor for React

Hacker News

I first shared Puck here back in Sept 2023, and wanted to give a quick update! Here's the original post: https://news.ycombinator.com/item?id=37391848 Puck let’s you embed a page building experience within your own React application. It integrates with any backend or CMS, and since it’s MIT licensed, you can safely use it in internal tools or customer-facing products. A lot’s changed since then; here are my highlights: * Multi-column drag-and-drop with full CSS layout support (Grid, Flexbox, etc) * Viewport previewing * Headless mode for completely custom interfaces * Permissions API to lock down authoring behaviour * Dynamic fields that adapt based on data The first Hacker News post was instrumental to Puck’s growth—when I first shared it, Puck had 6 stars and grew to 1,700 in 24 hours. It’s now approaching 7,000 stars. Thank you! Always curious to hear feedback and answer questions.

Visit product View on Hacker NewsMay 28, 2025

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

92%92% 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.

Hacker NewsStrong engagement from HN community · Strong signals: hacker news, 000, io · Missing: https docs, excited, just released

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · 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 · Strong signals: way · Missing: mobile apps, ios, personal

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

Acquire.comPre-revenue stage for this audience · Strong signals: growth · 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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