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A proxy that makes Forgejo speak the GitHub API

Hacker News

A proxy that makes Forgejo speak the GitHub API

Hello HN, After seeing all of the pushback and negative sentiment regarding GitHub and its poor reliability and everyone trying to move off of it, I decided to build this to make the transition easier. It's the second half of a two-part project. Shotgun ( https://github.com/ThatXliner/shotgun ) diffs two OpenAPI specs and auto-maps what lines up, which turns out to be 60-80% of endpoints when both APIs are in the same domain. Anvil is the opinionated result of running that on GitHub vs Forgejo and then hand-fixing everything the auto-mapping got wrong or couldn't express. Landing page with a demo: https://bryanhu.com/anvil/

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apis, open · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% 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
16%16% 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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