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Pages CMS – A CMS for GitHub

Hacker News

Pages CMS – A CMS for GitHub

In a nutshell: 1. You log in with your GitHub account. 2. You select the GitHub repo where your site/app is at (whether it's Next.js, 11ty, Hugo, Nuxt... as long as you're using flat files for content). 3. You add a single config file to your repo to define the content types and other settings (e.g. media folder). 4. Congrats: you now have a user friendly CMS to manage content + media BUT all changes are still tracked like regular commits (under your account) on GitHub. I started using Jekyll around 2009 and over the course of the past 10+ years, I've helped build major sites and tiny blogs with Hugo, Gatsby, Next.js and more recently 11ty. I still love it. BUT once you're done building, managing content and media can be a bit of a pain. You have a few options: - Edit files directly (on GitHub or your local). Good luck getting your colleagues on the marketing team to do that. - Hook up a headless CMS like Contentful, Sanity, or Strapi. That works, but it's one more dependency and (IMHO) overkill in most cases. - OR you could use something like [Decap CMS]( https://decapcms.org/ ). Really cool project, but I've never been a fan of the UI/UX, and it's been a bit of a pain to setup (maybe that's just me). I wanted something as simple as possible, preferably with nothing to install or deploy. Back in 2018, I had built a prototype (Jekyll+) [1] with the idea of getting a CMS set up by just adding a single configuration file to your GitHub repository. Pages CMS [2] is a continuation of that idea. It's 100% free and Open Source: https://github.com/pages-cms/pages-cms . If you don't want to use the online version because you're not comfortable signing up with your GitHub account, consider the following options: - Use a fine-grained personal access token [3], there's an option on the login screen. There is still a bug if you try to access a repo that isn't part of your token scope, but I'll get it fixed in the next couple of days. - Deploy it yourself (for free) on Cloudflare Pages. Literally 5 minutes of work max. I made a video walking you through the process [4]. - Check out the intro video on the front page [2] (a bit crap, but I'll get a better one up in the next few days). I use it actively with a few other teams, I hope it will be of use to some of you. I'm already working on adding a few nicer features, like collaborative editing and email invites (to let non-developers login without a GitHub account). PS: I've spent the past 8+ years building a business and only recently got back into coding. I'd love pointers as to what I could do better (and how I can manage my Powerpoint PTSD). [1]: https://github.com/hunvreus/jekyllplus/ [2]: https://pagescms.org [3]: https://docs.github.com/en/authentication/keeping-your-accou... [4]: https://pagescms.org/docs/development/

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, single · Missing: mac, agents, macos
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, video · Missing: mobile apps, ios, entrepreneurs
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, friendly, user friendly · Missing: platform, intuitive, reviews
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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
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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