Build a discord/Slack bot to answer questions with your docs and GPT4

Hacker News

It works on top of the open-source workflow engine windmill [1] that you can easily self-host on a tiny server or a large k8s cluster. You will also need pgvector (here hosted on supabase) and of course a GPT4 api key. It showcases an approval step so that you only provide answers you are confident giving to your users, which feels less robotic. All the building blocks are scripts that you can reuse outside of windmill and you could build this in any other workflow engines (although less conveniently). We use it for our own needs on discord [2] and thoughts this was a common need for any product having community support on slack or discord. [1]: https://github.com/windmill-labs/windmill [2]: https://discord.com/invite/V7PM2YHsPB

Visit product View on Hacker NewsJun 29, 2023

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144points

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Launch Intel predictions

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

80%80% 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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

55%55% 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, users · 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

17%17% 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.

Correct prediction on native model

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