Open-source indexing of Discord questions into Google

Hacker News

I'm open sourcing my project, Answer Overflow, today! The goal of it is to improve the whole experience of asking questions via Discord. Currently you're able to select channels to be indexed into Google and Answer Overflow will get that content indexed Our roadmap is below: * Hosting on your own domain * Analytics - Get insights into your community, understand what the most common questions are and how you need to improve your documentation * AI - Use AI trained off your server data to answer questions, improve low quality questions, and get summarize of your community * GitHub Sponsors - Link to the GitHub sponsors of people who solve questions in order to help make it more sustainable for them Please let me know any feedback you may have and also any pain points you've experienced asking questions via Discord! There's a lot of potential for improving the whole process and I want to make it the best it can be

Visit product View on Hacker NewsMar 28, 2023

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

87%87% 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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

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

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

57%57% 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

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

11%11% 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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