Serverless GPT Functions that can call any API

Hacker News

Hi HN, I’ve been working on FunctionHub for the past few months and I’m excited to share it here. FunctionHub lets you write code in TypeScript and have GPT 3.5/4 call it. Your code can make HTTP requests to any API out there, scrape the web, or make database queries. GPT can then use the results to generate content, analyze data, or make further transactions to mutate objects. FunctionHub works by generating OpenAPI specs from your functions and passing them along to GPT. When GPT "invokes" your function, FunctionHub executes your code and re-prompts GPT with the result. It also supports chained function calls for complex tasks within a specific application domain. I wanted FunctionHub to be simple yet powerful enough for AI and general-purposes applications. So I built a VSCode-like editor with interactive API, NPM support, public functions that can be forked, and dynamic REST endpoints for your functions. I’d love to hear any feedback, suggestions, or problems you might have! Website: https://functionhub.net Docs: https://functionhub.net/docs Thanks!

Visit product View on Hacker NewsSep 27, 2023

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

93%93% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% 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: month · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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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