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Open-source icon set with 4000 icons

Hacker News

Open-source icon set with 4000 icons

It's our biggest open source icon set ever with 4,000 icons in four styles: Line/Solid/Duo/Flat Core is like the Helvetica of icons. Neutral and versatile. Built on a tiny 14px grid for maximum legibility. Currently, it's available on Figma but we're working to add it to our web app, desktop app, and GitHub. Here's a link to the file: https://www.figma.com/community/file/1250041133606945841/4%2... Thank you for the feedback and hope you use them!

Visit product View on Hacker NewsJun 13, 2023

Actual performance

10points

3comments

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Launch Intel predictions

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

81%81% 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: open source, 000 · Missing: https docs, excited, just released

65%65% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% 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

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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