TorServ v0.3.5 – Zero-config static Tor web server with sandboxing

Hacker News

TorServ is a zero-config static web server that instantly launches as a Tor hidden service — no setup, no clearnet, no logs. Just unzip and run. It’s built for privacy-first developers, educators, and activists who need something dead simple, fast, and secure. What’s new in v0.3.5: Optional Firejail support — runs sandboxed automatically if firejail is installed, runs normally if not Dropped .webp image support — this obscure format caused compatibility issues on some Linux distros Minor performance and compatibility improvements, better in code comments for clarity Official Tor mirror: http://torservqv27yflqzhe75mojvxp364rfhqjobkte4q5v2u2jjuokch... Website: https://torserv.org GitHub: https://github.com/torserv/torserv Thank you to everyone who checked out the first versions and gave feedback — it’s been incredibly motivating. I’d love to hear what you think of this latest release, especially if you’re testing on minimal or sandboxed setups.

Visit product View on Hacker NewsJun 30, 2025

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

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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 · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% 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.

Correct prediction on native model

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