Turning GitHub into a CMS

Hacker News

Hi HN, I built Commitspark, a Git-based headless CMS that runs on top of GitHub. The primary purpose is to enable non-technical content editors to take advantage of Git workflows based on branches, pull requests and merges, without them having to learn Git. Behind the scenes, everything content-related is driven by GraphQL and an open source library I released ( https://github.com/commitspark/graphql-api ), and for all the workflow features like PRs, commenting and diffs, I built a CMS-centric view onto GitHub using the GitHub API. For content editors, this should feel the same as working in any other headless CMS, except now with support for much more powerful workflows. For developers, this means all the strengths of Git and GitHub can now also be applied to content (pipelines, tags, commit hashes for caching, branches for migrations, etc.). There are many other things I am also excited about here that I'm happy to discuss, so please leave your questions below.

Visit product View on Hacker NewsMay 22, 2023

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

93%93% 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.

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

75%75% 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 · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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