
Clusy | Agent-Native Notebook for ML and Data Science
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
The full gallery
Tech stack
60 projects

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -

AI agent platform to help discover ideas, research topics, and create content.
@gravibase · X
Discover how AI agents can turn ideas into content. Try GraviBase today:

Create immutable, SHA-256 certified records of your documents.
@BogachyovvA · X
A web app for protecting your documents, files, etc. using hashing. I am also looking for CEOs of companies for cooperation.

Store and sync files with end-to-end encryption that keeps them hidden from the server.
@vaultdesk · X

Inventory intelligence platform that helps D2C brands detect stockout risks and dead stock.
@heydevottam · X
I'm building EVE — an inventory intelligence platform that helps D2C brands detect stockout risks, dead stock, and profit leakage before they become costly.

Shop luxury real estate, yachts, and jets on an AI-powered marketplace platform.
@chandlerwilcox · X

Share files and text directly between browsers without server storage or login.
@bytestreak · X
Building a frictionless, forever free file sharing utility tool. Check it out here:

Secure vault for organizing important documents with family access control.
@DwivediNitil · X
Go physical to digital

A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X

AI content strategy platform that scores posts and plans your social media calendar across LinkedIn and Instagram.
@Shauryaverma249 · X
Building content strategy platform, about to launch on PH, already crossed 40 users, few acquisition deal offers also

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]