I built an open-source web hosting platform for static sites

Hacker News

HI Hacker News! I’m very excited to show you this project I have been working on, MarkdownSite.com. For folks who interact with the website, it is a web hosting platform where you can add your repository and have a website built from the `public/` directory. Files in `site/` with an `.md` extension are rendered from markdown to HTML, and the website is then available at a random subdomain. For folks that set up their own instance, it can also become a framework for customized building. The entire project is open source and I tried my best to document and explain the structure of the machines and how they interact in various mermaid graphs in the readme files under the `devops/` folder. There is still a lot of work to be done, I hope that you find this useful. It's been super fun to work on!

Visit product View on Hacker NewsMar 14, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, hacker news · Missing: https docs, just released, exist

82%82% 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

73%73% 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: mac, new, open · Missing: agents, macos, agent

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

56%56% 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

15%15% 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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