Perplexity AI triples its valuation in about 6 months with latest $500 million funding round
Perplexity AI closed a $500 million funding round, Bloomberg reported, tripling the startup's valuation within 6 months at $9 ...
Perplexity AI closed a $500 million funding round, Bloomberg reported, tripling the startup's valuation within 6 months at $9 ...
Anthropic has trained a robot dog to fetch, and if you want to see what AI can do in the real world, this is for you!
We built a browser-native IDE that runs a real Linux terminal and multi-agent coding tools directly in the browser — no installation or VM setup.It supports: – A full CloudShell terminal (xterm.js + Node-PTY) – Multi-agent CLI execution (Aider, GPT Engineer, Claude Engineer) – Agents directly modifying files in the repo – UI plan generation + CLI build workflows – Zero local setup, zero dependenciesDemo: https://forge.synvara.aiWe would love technical feedback. Happy to answer question
I was running some experiments to test Gemini 3 and I really liked how it turned out so I thought I would share.<p>I adjusted the vertical alignment of the sun, because LLMs still aren't good at spatial relationships, and GPT5.1 implemented the responsive design and the volume slider as the API I was using was getting overloaded.<p>The full setup was Opencode + Gemini 3 (zen) + GPT 5.1 Codex.
Hi HN,A couple of months ago I posted an early version of this Chrome extension. Since then I’ve refined it, fixed a bunch of stability issues, and it was recently featured on the Chrome Web Store’s “Featured” section, which was a nice surprise.What the extension does: – Detects the active tweet or thread directly in the browser – Collects relevant context (parent tweet, author info, thread shape) – Formats a prompt and sends it to the OpenAI API – Inserts the generated reply straight into Twitt
Hi HN, I’m one of the authors of this post.We’ve updated Docker Model Runner to support vLLM alongside the existing llama.cpp backend. The goal is to bridge the gap between local prototyping (often done with GGUF/llama.cpp) and high-throughput production (often done with Safetensors/vLLM) using a consistent Docker workflow.Key technical details:Auto-routing: The tool detects the model format. If you pull a GGUF model, it routes to llama.cpp. If you pull a Safetensors model, it routes t
I built rapid-rs to eliminate the hours of boilerplate when starting a new Rust web service.One command gets you: - Auto-configured DB, logging, CORS - OpenAPI/Swagger UI at /docs - Request validation - Production-ready observabilityBuilt on Axum. Early benchmarks show ~50K req/s with 10-20MB RAM.This is v0.1 - feedback welcome!Crates: https://crates.io/crates/rapid-rs
Hi HN! I built Docuglean, an open-source SDK for intelligent document processing that works with OpenAI, Mistral, Google Gemini, and Hugging Face models.The idea came from repeatedly writing boilerplate code to extract structured data from invoices, receipts, and other documents. Instead of wrestling with different API formats, I wanted a unified interface that:- Extracts structured data using Zod/Pydantic schemas - Classifies and splits multi-section documents (e.g., medical records) -
I’m launching UsageFlow, a simple tool for API owners who want automatic API usage metering and full control over their endpoints — all without any hassle.With just a few lines of code, the UsageFlow SDK gives you:Automatic discovery of API endpointsUser identificationUsage meteringRate-limits and automatic blockingReporting usage events to your existing billing or metering systemSupports: Go (Gin), Python (FastAPI, Flask), Node.js (Express, Fastify, NestJS)Perfect for AI APIs or SaaS platforms
Hey HN,<p>we've built Ask AI for complex and technical products that answers your users questions in your documentation, product interface, or Discord/Slack community.<p>With your own OpenAI API key, you can use it for completely free as long as you want.<p>It is fully trained on your data, so it directly answers from your sources.
One of the more evocative platforms for AI art, Midjourney, has now opened to everyone in beta mode. This is the second time that the platform has opened to all as a beta. On July 18, the platform ...
Hi HN,I've been working with LLMs in production for a while both as a solo dev building apps for clients and working at an AI startup. The one thing that always was a pain was to pay OpenAI/Gemini/Anthropic a few dollars a month just for me to say "test" or have a CI runner validate some UI code. So I built this server called ChunkBack, that mocks the popular llm provider's functionality but allows you to type in a deterministic language:`SAY "cheese"` or
Hi HN,I can overthink dating (probably just like many of you) and thought that I can't be the only person over-thinking texts. So I decided to build Lucen - an AI relationship coach that analyzes your texts to give you advice. Goal to help people with questions like:- “Is this person actually into me or just bored?” - “Am I doing too much?” - “Did I mess things up with that text?”What Lucen doesYou upload transcript, screenshots or screen recoding of messages and Lucen: - Gives you a report
We built an open-source tool that scans your codebase and generates OpenAPI docs in minutes. Right now it supports Rails, Go, Python, and NodeJS frameworks, and we will keep adding more. It picks up routes, params, request bodies, and models directly from the code and outputs a clean OpenAPI spec you can drop into your workflow.
Hi HN, Georges from the Gram team here. We're really excited to share a major update to Gram, our platform for curating tools for agents, in the form of Gram Functions. Gram initially started out by letting users upload OpenAPI documents and turning them into tools that can be curated into small MCP servers that power your agentic use cases.We've known for quite some time that many existing REST APIs are simply not suitable as LLM tools and we wanted to solve this problem by letting us
Hey HN! I built pctx, a framework that lets AI agents execute code directly instead of making tool calls to save on tokens on MCP.I've been working on code generation in Rust for 2 years, mostly fighting with OpenAPI specs that are either missing or incorrect. MCP's self-documenting nature made this a fun project to tackle since the servers describe their own capabilities accurately. I could focus on building execution sandboxes instead of wrestling with bad specs. After seeing how Clo
A web developer has created a Siri GPT-3 mashup that is intended to demonstrate the potential for a truly smart voice assistant. The AI system was able to make sense of conversational speech – ...
GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art natural language processing (NLP) model developed by OpenAI. It is trained on a massive dataset of over 8 billion words. This ...
Benchmarks show Google's Gemini 3 handily beating OpenAI's latest GPT-5.1 model, but there are still reasons to use ChatGPT.
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