Minimal Static Website Hosting Tool

Hacker News

I built this because I self host a lot of stuff and wanted to simplify tossing up a simple static site with no backend, no NGINX/Caddy/Traffik configs, instantly deploy with a single file copy. Powered by Golang's built-in reverse proxy package. Another awesome freebie is this is built on top of [Pocketbase]( https://pocketbase.io/ ), so the whole app is API driven for free. This gives you some AI integration points off the bat. Great for whipping up demos to pitch to clients, or quick and dirty temporary static sites to share with friends, family or coworkers.

Visit product View on Hacker NewsSep 11, 2026

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: nginx, 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.

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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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 · 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

17%17% 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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