3,800 Not-Awesome but Beautiful Icons– React, SVG, NPM, CDN (All Free)

Hacker News

In a nutshell: 1. Over 3,800+ free icons (Total 27,000+ premium icons) 2. Unlimited personal and commercial use 3. Icons are professional made and really beautiful 4. Multi-format compatibility: SVG, React, React Native, CDN, NPM, JSX 5. Easy to customize 6. Perfect for developers and Figma designers too, as it provides Figma file and an Amazing Figma plugin You must use beautiful icons for your projects. Any feedback to improve would be kindly appreciated!

Visit product View on Hacker NewsFeb 28, 2024

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Did not reach leaderboard

Launch Intel predictions

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

82%82% 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.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released

46%46% 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 · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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