AI Slack app with generative UI

Hacker News

Hey! We're building tools to simplify how to make AI apps, including the UI/UX part. I've posted about this before, but the general idea is that the UI components I already know how to build define, in a way, the actions that are available to a user. So, we just tell our AI system what components are available, and let it decide when to show them to a user based on messages or whatever context. Anyway, we thought Slack might be an interesting place to interact with AI apps, since it's already a natural language interface, and people are already there for work. So we made a template and tutorial on how to build an AI Slack app that can control UI components! It's a simple ToDo app, but it should help you think through how you might build your own app in this way. Would love some feedback.

Visit product View on Hacker NewsDec 12, 2024

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Launch Intel predictions

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

95%95% 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: including · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · 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.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% 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

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

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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