Font Awesome 7 launches with new icon packs

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I work at Font Awesome (YC 2015) and we recently launched Font Awesome 7, including hundreds of new icons, a fresh visual redesign, and better perf. Fun fact: Font Awesome icons are viewed 6–8 TRILLION times per month, so we have a pretty good idea which ones are used the most! Armed with this knowledge, we added seven entirely new icon packs, each with 200+ of the most frequently used icons in their own unique designs. What's new in v7: - 300+ new icons - Redesigned core icons for better visual consistency, clearer shapes, and smoother outlines - The Icon Wizard now supports over 40 modifiers and can instantly convert modified icons into Duotone - Better rendering and file loading - Seven new Pro+ icon packs: Chisel, Etch, Jelly, Notdog, Slab, Thumbprint, Whiteboard, and more on the way Head to https://fontawesome.com/ to browse all of the new icons and styles. We love feedback and I'm happy to answer any questions about the release, the tech behind it, or icon design in general! (Note that I primarily work on a sister product called Web Awesome, so it might take me a little time to reply if I have to ping a colleague about a specific question!)

Visit product View on Hacker NewsJul 28, 2025

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

73%73% 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: new, visual · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

42%42% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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