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Statichost.eu – privacy-first static site hosting

Hacker News

Statichost.eu – privacy-first static site hosting

Excited to announce StaticHost.eu - a privacy-first static site hosting service! No logging whatsoever apart from usage metrics, and hosted on Hetzner who own and operate their own data centers. Based on the git workflow where updates trigger a clone-build-deploy-publish. Other notable characteristics: - Clones from any git repository, even a folder on an SSH box - Can use any Docker image to perform the site generation (i.e. build) The classic story of something I built for myself that eventually became a something more. Still not ready, but when is such a thing ever ready... Feedback and questions extremely welcome! :)

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Actual performance

11points
4comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
71%71% 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: dock · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
43%43% 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
36%36% 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
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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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