Tools for building AI React apps

Hacker News

Building tools to simplify how to build AI into React apps, called Hydra AI (short for "hydration".) The idea is to build React components like normal, tell the AI when they should be used, and let the AI decide when to show them and what props to fill them with. The "list of things that are possible" in my app is, in a way, defined by the components that people can interact with, so why not just let AI control those on behalf of (or alongside) the user instead of trying to figure out all new AI logic? Looking for people to try building something with Hydra!

Visit product View on Hacker NewsNov 27, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

85%85% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% 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

21%21% 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

Similar products

OpenOrch – microservices platform for building AI apps54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenOrch – microservices platform for building AI apps

Hacker News1

A microframework for building AI agents27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A microframework for building AI agents

Hacker News1

Building an AI Agent36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building an AI Agent

Hacker News2

Building a Polyfill for React65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a Polyfill for React

Hacker News2

Moonlit36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-code platform for building AI Data Apps

Indie Hackerscommitment-full-time

What I Learned from Building 3 AI Apps in 3 Months70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What I Learned from Building 3 AI Apps in 3 Months

Hacker News1

Building an AI Girlfriend Chatroom got me to 500K ARR33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building an AI Girlfriend Chatroom got me to 500K ARR

Hacker News1

Future of Homebuying43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We're building AI-powered tools to improve homebuying

Indie Hackers1finance

Pathmode47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The product judgment layer for building with AI

Indie Hackerscommitment-side-project

SDK for Building AI-Powered Creative Tools41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SDK for Building AI-Powered Creative Tools

Hacker News2

Browse all products Analyze your launch