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I built a cross-browser extension that controls fingerprinting surfaces

Hacker News

I built a cross-browser extension that controls fingerprinting surfaces

Hello Hacker News! I’m Tomasz, creator of Privacy Thing, a browser extension for Firefox and Chromium-based browsers. I’ve just released its Preview version. Privacy Thing aims to reduce browser fingerprinting—the tracking of users without cookies. It began as an internal project: a simple location simulator. Over time, I expanded it to cover more fingerprinting surfaces. It now has 13 protection categories affecting 50+ browser APIs and methods: Geolocation, time and locale settings, Canvas, WebGL, Audio, Navigator, Screen, Client Hints, Battery, WebRTC, Dedicated Workers, Service Workers, and Shared Workers. The list is still growing. The extension is fully configurable. Users can create regional profiles and assign them to domain rules, with separate protection settings for each domain. Or they can skip domain rules and rely on the global configuration—I’m not here to decide what works best for them :-) Privacy Thing uses Manifest V3, with all its pros and cons. Chrome and Firefox appear to offer similar extension APIs, but differ fundamentally at the level where Privacy Thing operates. This matters because its scripts must load as early as possible to be effective. Its X-Ray module communicates with scripts running in the page context to show which APIs a site uses and how often it queries them. An aggregate count appears on the extension’s toolbar badge by default. Each release includes processed, compact datasets covering Chrome build numbers, supported language codes, language-to-country mappings, popular screen resolutions, and hardware configurations. This keeps the extension independent of external services and there is no good reason to build extra infrastructure for it. There are two exceptions. The regional preset wizard uses OpenStreetMap’s Nominatim geocoding service, but only after the user consents to sending the query. Maps are displayed using OpenFreeMap. Presets can also be created manually. Users who know the coordinates can enter them directly without contacting any 3rd-party service. The extension does not transmit telemetry or usage data. This makes development harder, but it is fundamental to its identity: user data belongs to the user. Privacy Thing configuration can be exported, edited and imported. The Preview is currently distributed under a proprietary license. This is not ideal; I ultimately intend to release the source under an open-source license, most likely the AGPL. More about the development process: https://tomaszjanusz.dev/en/projects/privacy-thing/ Download: - Mozilla Addons: https://addons.mozilla.org/en-US/firefox/addon/privacy-thing... - Chrome Web Store: https://chromewebstore.google.com/detail/privacy-thing-previ... The extension is STILL under review in the Microsoft Edge Add-ons store -_- Thank you for your suggestions and feedback. Please remember that this is still a preview: some things may not work, may be slower, or may not behave as intended. I sincerely hope such issues will be few and far between. P.S. Yes, Privacy Thing fully supports Firefox Containers. I like the concept and believe extensions should support containers whenever possible. Privacy Thing will support them elsewhere too, including Brave, if Brave Software makes its container API public.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created, para · Missing: reddit linkedin, podcasting, latex
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.
Hacker NewsStrong engagement from HN community · Strong signals: just released, hacker news, ide · Missing: https docs, excited, exist
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users, para · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · 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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