DiscordGPT. Customizable Discord bot using GPT3 completions

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Hey HN! My name is Keith and I'm the founder of Autocode. We provide an online IDE and serverless hosting platform for building webhooks, APIs and bots. We specialize in helping folks build software that connects APIs together -- think Zapier if it were instead a "full code" solution with guardrails to help new developers. Our goal is to help folks do more with APIs by making the web more programmable. We just launched DiscordGPT: it's an open source (Node.js) template that connects Discord `bot_mention` events to OpenAI's `completions` API. What's exciting to me is how fast anybody can patch a few APIs together to have a nearly ChatGPT-quality personalized AI in their own Discord server. Takes only a minute or two and works out-of-the-box. Completions are powered via the `text-davinci-003` model and webhooks are automatically configured by Autocode. I wanted to share it with the HN community for two reasons: (1) it's probably the fastest way to build a GPT-powered bot and it's super hackable, I think folks here would enjoy. (2) it's a good opportunity to show off Autocode! 80% of our users identify as "technical, but not a developer" but we're seeing more uptake from professional engineering teams and I'm interested in getting feedback!

Visit product View on Hacker NewsJan 29, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

94%94% 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: model, user, new · Missing: mac, agents, macos

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

67%67% 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 · Strong signals: personal, users, way · Missing: mobile apps, ios, entrepreneurs

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews

37%37% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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