FixProxy – Browse the Web with Privacy

Hacker News

Hello, a month ago I've submitted a post about FixBrowser, a lightweight web browser written from scratch. As part of the project there is also a FixProxy tool that allows to browse the web with privacy using an exising web browser. FixProxy is it's own project with a different usage. It is also practical to use (unlike FixBrowser in it's current form), I've been using it for multiple years with good results. Since the last post I've been working on various improvements that are incorporated in the linked blog post. But you can also read about them in more detail in this blog post: https://www.fixbrowser.org/blog/fixbrowser-0.2 The project also has GitHub page now: https://github.com/jezek2/fixbrowser

Visit product View on Hacker NewsJan 29, 2025

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2points

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

72%72% 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: using · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% 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

12%12% 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.

Incorrect prediction on native model

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