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GraphQL Client Library for Clojure

Hacker News

GraphQL Client Library for Clojure

Hey HN! This is a library I've been working on for Clojure. There are other libraries out there which do something similar, but they are to DSL-ish for my taste. Therefore, decided to write my own w/ hiccup-like syntax while attempting to stay as true to GraphQL spec/idioms. There are a couple small things which are different (i.e. aliases and directives). For the most part, I think it is promising. Especially once I have the time to implement support for CLJS & different client implementations (i.e. http on jvm, ajax/fetch on js/node). Would love some feedback, if you think there are things I am missing/not considering.

Visit product View on Hacker NewsMar 17, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

69%69% 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 · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% 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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

14%14% 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.

Incorrect prediction on native model

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