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Turn Your APIs into Swift Protocols
Hacker NewsTurn Your APIs into Swift Protocols
Hey HN! If you're a fan of Swift you may have noticed that with WWDC 2023 came the (beta) release of macros. They're super powerful and expressive! I've been wishing Swift had a [Retrofit]( https://square.github.io/retrofit/ ) style API definition library for years, and with macros it seemed like this was now possible. I'd like to show you all Papyrus, a library that turns your APIs into type-safe Swift protocols. Would love to get your feedback. https://github.com/joshuawright11/papyrus
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, apis · Missing: agents, macos, agent73%73% 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 · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% 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, revenue16%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, crypto1%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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