Thrive Bot – automatically file and respond to user requests

Hacker News

Hey HN! I'm excited to share about Thrive, an open-source Discord and Telegram bot designed to handle community requests, reports, and answer frequent questions. Think of it as your community concierge aid. Managing community requests can be overwhelming when the same issues and questions routinely need handling. Thrive simplifies this by tracking bugs, to-do lists, feature requests, release info, event coordination, and more. It's a smart companion that requires no configuration and is programmable by moderators. Thrive is written in TypeScript, runs on Bun, and integrates with Discord and Telegram. It uses PostgreSQL via Supabase and Fly.io for hosting. <3 Our small Midwest team built Thrive to make social coordination fun and effortless. Initially for internal use, we realized its broader potential and decided to open-source it. We’re excited to share it and see how it can help your community thrive! Check out Thrive and let us know your thoughts on how we can make it more useful for day to day help. Test out the latest version by visiting us on Discord: https://discord.gg/mWMsPshP

Visit product View on Hacker NewsJun 19, 2024

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

78%78% 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, podcasting

61%61% 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, ide, io · Missing: https docs, just released, exist

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

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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