
ModelBrew — AI you don't have to double-check
Upload your data to fine-tune custom language models with cryptographic deletion proofs.
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
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Upload your data to fine-tune custom language models with cryptographic deletion proofs.
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

Interactive AI audit funnel for analyzing systems with multiple visual approaches.
@jozef_x1 · X
🚨 I Vibe Coded F0ur (4) different versions of @coreyganim's "Ai Audit" Funnel, which is your favourite? VERSION #3:

Linux workspace for AI coding tools that persists files, dependencies and services across sessions.
@SeagerCortez · X

Working Machines connects Codex, Claude, ChatGPT, Cursor, and custom agents to 1,400+ apps and 15,000+ actions through one secure application layer.
@KleiAliajj · X
Everyone is building AI agents. We’re building what they need to actually work. Give your codex , claude or any agent access to 1,400 apps and 15,000 actions and let it run your business.

Manage and run LLM models in your browser via WebAssembly.
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager

Compare decisions across four frontier AI models (GPT, DeepSeek, Gemini, Claude) in one workspace with sandboxed code preview.
@painterner · X
After a year away, I’m back to indie hacking. Built with Claude and GPT in two weeks, Disidea is my first launch of the year: four AIs debate your decisions in one thread. Try it: Questions? Ideas? Let’s build great products and make money. Who’s in?

The end-to-end platform for small language models. Tuned to your task, a small open model matches frontier accuracy at a fraction of the cost. Own your intelligence: private, compa
@dayoffdev · X

Verify AI responses in real-time by auditing with multiple models for reliability.
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

Create and deploy web applications by describing them to an AI.
ceritium · HN
I built a kind of paas for llms, the idea was to allow my family deploy webs cheap and easy, my family doesn't use It, but It end being very useful form mento deploy small apps. You can check It out on https://onvibe.run there is a list of forkable apps that I use. I did some kind of meta thing, because bownI can create apps with llm (like Claude) and expose an mcp on theme (like the notes and todolist apps).

Analytics dashboard for LLM API spending by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X

React components for building AI agent user interfaces with streaming, tool approvals, and cross-platform deployment.
@sameerpallav · X