PingQuick – Turn your Python function into an API

Hacker News

Hi there HN! I wanted to show you a weekend project I put together. Pingquick ( https://www.pingquick.dev/ ) is a way to create APIs from your python functions. Just write/paste the function in, and it'll give you an endpoint to POST to. I made Pingquick because I just couldn't stand having to deal with deployment for some simple python functions. So, now I just put my code there and I can ping it as needed without needing to worry about any setup. Any and all feedback is very much welcome! Ian

Visit product View on Hacker NewsJul 14, 2023

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

57%57% 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 NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

48%48% 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 · Strong signals: way · Missing: mobile apps, ios, personal

48%48% 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

43%43% 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

28%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, revenue

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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