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Fontofweb – Discover Fonts Used on a Website or Websites Using Font(s)

Hacker News

Fontofweb – Discover Fonts Used on a Website or Websites Using Font(s)

Hey HN, I've been working on fontofweb.com on and off for the past 4 years, and I'm keen to share it with you. It lets you type in the URL of any website and see exactly how the fonts are used: all the weights, line heights, and sizes. A big plus is that it doesn't require a Chrome extension, unlike a lot of other tools in this space. You can also search for a specific font and find websites using it. For example, check out sites using Inter: https://fontofweb.com/w/inter . This reverse font search even supports looking for multiple fonts at once, like here’s an example with Inter and Space Mono: https://fontofweb.com/w/inter/space-mono . My goal with Font of Web is to build up a comprehensive database of font usage across the web. By collecting and analyzing this data, I believe we can uncover some valuable trends, such as: * Common font pairings * Popular heading fonts over time * Market share of commercial fonts * Top font foundries based on actual usage I originally built a version of this four years ago and was surprised by how much organic interest it received. I’ve now rebuilt the tool from scratch, moving away from browserless.io — which was quite expensive — to an invisible iframe approach with a proxied URL to handle CORS (it’s a straightforward solution, and I’m rather surprised it isn’t discussed more often). This change has completely eliminated all costs related to web scraping. Here's the Tech Stack: * Remix + HeroUI + Tailwind * Rust Backend in Axum * Authentication with OTP email and Google social auth (via openidconnect) * Sqlite running on the same VPS as the API service * $5/mo VPS * Cloudflare CDN * Cloudflare R2 for storage * Zeptomail for emails (very cheap and reliable, highly recommend!) * Simple Analytics: https://dashboard.simpleanalytics.com/fontofweb.com * Logging: Journalctl :) There are currently 275 websites in the database, and I'm working on increasing this. Stats are available at: https://api.fontofweb.com/stats . While the main site doesn't need an extension, for more robust searching and to help with Cloudflare-protected sites, there’s a chrome extension available. There's also a public API for domains that have already been checked. For instance: https://api.fontofweb.com/report?domain=apple.com&path=/ . There's also RSS feed I’ve got no idea why you would need this directly, but I'm using it because Pinterest allows you to automatically populate boards with an RSS. https://api.fontofweb.com/rss There’s a premium subscription available as well, for some extra perks like previewing fonts and downloading them. Appreciate your thoughts and feedback.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
97%97% 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: apple, google, email · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: google, way · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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