OgBlocks – Simple Copy-Paste Animated UI Components

Hacker News

Hey HN, I'm Karan, and I'm a frontend developer I built ogblocks.dev because many developers I know want their sites to feel polished but don’t enjoy writing CSS animations. Hand-coding animations is harder than it looks, and most existing libraries are either static, pricey, or not very customizable. ogBlocks provides copy-paste animated UI components built with React, Framer Motion, and Tailwind. No installation required. Everything is fully customizable, responsive, and works in both JSX and TSX. It also includes a private repo, Discord access, and a free 107-page ebook. My goal was to make practical animations accessible, even if you don’t enjoy working with CSS. Lemme know what you think

Visit product View on Hacker NewsNov 24, 2025

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2points

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

84%84% 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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · 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 · Missing: mobile apps, ios, personal

35%35% 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

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.

Incorrect prediction on native model

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