I
I made a GitHub Flavored Markdown API
Hacker NewsI made a GitHub Flavored Markdown API
tl;dr: My first Ruby project: https://github.com/symkat/GFM-Service Something I have wanted for a long time, has been to use GitHub Flavored Markdown in projects. Since those projects haven't been Ruby, using the awesome libraries GitHub's released has been a non-started. Now, running this and using HTTP and JSON from any language lets me use GitHub Flavored Markdown in my projects.
Share cardActual performance
12points
4comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released70%70% 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: using · Missing: mac, agents, macos67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% 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, revenue12%12% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Gi
GitHub Markdown Syntax – all in one65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Markdown Syntax – all in one
Hacker News5Ex
Example of GitHub Markdown with Collapsible Sections63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Example of GitHub Markdown with Collapsible Sections
Hacker News8Gi
GitChat on top of GitHub API66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitChat on top of GitHub API
Hacker News3Gi
GitHub Markdown Reader69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Markdown Reader
Hacker News7We
Weirdify Markdown – Use GitHub Flavored Markdown on Stack Overflow63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weirdify Markdown – Use GitHub Flavored Markdown on Stack Overflow
Hacker News1Gi
GitHub Comments into Formatted Markdown65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Comments into Formatted Markdown
Hacker News2Ma
Markment, custom implementation of github-like markdown58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Markment, custom implementation of github-like markdown
Hacker News2Go
Godown.vim – Markdown Previewer in Go59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Godown.vim – Markdown Previewer in Go
Hacker News1Ex
Extending Markdown with Pandoc+Panflute62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extending Markdown with Pandoc+Panflute
Hacker News4Ma
Markdown codeblocks preprocessor62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Markdown codeblocks preprocessor
Hacker News2