3,800 Beautiful Icons – React, SVG, NPM but Free

Hacker News

In a nutshell: 1. Over 3,800+ free icons 2. Unlimited personal and commercial use 3. Icons are professional made and really beautiful 4. Multi-format compatibility: SVG, React, CDN, NPM, JSX 5. Enhances aesthetics & usability, Icons are important 6. Flexibility for all projects 7. Easy to customize 8. Perfect for developers and Figma designers too, as it provides Figma file and an Amazing Figma plugin 9. It provides total 27,000+ premium icons 10. You can use the free icons for many projects already You must use beautiful icons for your projects. Any feedback to improve would be kindly appreciated! Hugeicons Pro offers a big and beautiful icon library with multi-format support and flexibility for both personal and commercial projects, enhancing app and website design.

Visit product View on Hacker NewsFeb 22, 2024

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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.

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

42%42% 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

42%42% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

9%9% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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