Og

OgBlocks – It lets anyone create beautiful UIs with just copy and paste

Hacker News

OgBlocks – It lets anyone create beautiful UIs with just copy and paste

Hello Everyone, My name is Karan, and I'm a Frontend Developer, but I feel like I'm more of a Design Engineer because of my love for creating UIs When I started my development journey, I fell for frontend development and stuck with it ever since But I noticed that many of my friends hated writing CSS because creating UIs is a very tedious and time-consuming process, and you have to be pixel-perfect But at the same time, they also wanted their project to look premium with beautiful animations and a world-class user experience That's when I thought "What if anyone could integrate beautiful animated components into their website regardless of their CSS skills?" And after six months of pain and restless nights, I finally built ogBlocks to solve this problem. It is an Animated UI Library for React that contains all the cool animations that will make it look premium and production-grade ogBlocks has navbars, modals, buttons, feature sections, text animations, carousels, and much more. I hope you'll like it Best Karan

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
87%87% 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: user · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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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