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Last updated: Feb 25, 12:36 AM
Top 3 articles selected from keyword overlap with the latest 10 community posts.
Nimble uses AI agents to search the web, verify and validate the results, and then clean and structure the information into neat tables that can then be queried like a database.
Businesses today face the challenge of uncovering valuable insights buried within a wide variety of documents — including reports, presentations, PDFs, web pages and spreadsheets.
https://infosec.exchange/@mttaggart/116065340523529645
"I Want to Wash My Car. The Car Wash Is 50 Meters Away. Should I Walk or Drive?" This question has been making the rounds as a simple AI logic test so I wanted to see how it holds up across a broad set of models. Ran 53 models (leading open-source, open-weight, proprietary) with no system
Previously: An AI agent published a hit piece on me - https://news.ycombinator.com/item?id=46990729 - Feb 2026 (916 comments) AI agent opens a PR write a blogpost to shames the maintainer who closes it - https://news.ycombinator.com/item?id=46987559 - Feb 2026 (582 comm
I run a lot of Claude Code and Codex sessions in parallel. I was using Ghostty with a bunch of split panes, and relying on native macOS notifications to know when an agent needed me. But Claude Code's notification body is always just "Claude is waiting for your input" with no context,
Interactive timeline of every major Large Language Model. Filterable by open/closed source, searchable, 54 organizations tracked.
Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem
Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are
YC recently put out a video about the agent economy - the idea that agents are becoming autonomous economic actors, choosing tools and services without human input. It got me thinking: how do you actually optimize for agent discovery? With humans you can do SEO, copywriting, word of mouth. But an ag
Hey HN, I am Dimittri and we’re building Sonarly ( https://sonarly.com ), an AI engineer for production. It connects to your observability tools like Sentry, Datadog, or user feedback channels, triages issues, and fixes them to cut your resolution time. Here's a demo: https:/
With AI infesting and eating into all kind of crafts--and I being one of those faceless "craftsmen"--I'm rather forced to consider alternative jobs. Setting the monetary rewards aside, I was thinking of jobs that could give me a sense of agency, purpose, and satisfaction (however limi
Hi HN! I'm Prithvi—my co-founder Frances and I launched Promptless almost a year ago here ( https://news.ycombinator.com/item?id=43092522 ). It's an AI teammate that watches your workflows—code changes, support tickets, Slack threads, etc.—and automatically drafts doc update
Many hn users often partially talk about their use case of AI. Orchestrating agents, managing code and PRs. But they rarely talk about the project itself. If you have any of those projects, or just heavily AI assisted project, please share it here.
I'm building software for a sector that is massive, but one where you don't really need AI. At least, not AI == LLM. And before I go further, let me state up front that I do like AI coding agents. They are great as assistive tools. People say that if the AI bubble pops, the economy tumbles
i kept hitting rate limits in Claude Code mid-debugging, then hopping to Gemini or Codex. the annoying part wasn't switching tools (copy-pasting terminal output doesn't bring tool-use context with it) — it was losing the full conversation and spending 10 minutes re-explaining what i was do
Hello HN, We are the team behind Tabstack ( https://tabstack.ai ) - part of Mozilla. We just open sourced Pilo (pronounce PIE-low), the core engine that powers our automation platform. You can check it out on Github at https://github.com/mozilla/pilo . Pilo is an agenti
Markdown started as a shorthand for HTML. Now it's the default format for documentation, note-taking, knowledge bases, and AI context. What's interesting is how it keeps absorbing new capabilities without changing the format itself: - Mermaid: diagrams from fenced code blocks - KaTeX/
"Y Combinator only funds AI wrappers now." I kept hearing this. So I decided to check. I pulled data on every single company from the last 5 YC batches. 793 startups. 1,625 founders. Scraped their bios, tags, industries, partner assignments - everything. Then I ran the numbers and built a
I spent two weeks running AI agents autonomously (trading, writing, managing projects) and documented the 5 failure modes that actually bit me: 1. Auto-rotation: Unsupervised cron job destroyed $24.88 in 2 days. No P&L guards, no human review. 2. Documentation trap: Agent produced 500KB of docs
At my large tech company, we're all being pushed to use AI. I, and most people I work with, have had success using the chatbots and Cursor-style tools and more recently Claude Code to accelerate the process of writing code. Yet, with a few people in my network, it's like they're livin
Hi HN. I've been running AI coding agents (Claude Code, Codex, etc.) on real repos for a while now. The dirty secret of "autonomous coding" is that agents stop all the time — quota limits, test failures, policy violations, bad judgement calls. You end up babysitting them. So I asked a
Hey HN, I built AgentBudget after an AI agent loop cost me $187 in 10 minutes — GPT-4o retrying a failed analysis over and over. Existing tools (LangSmith, Langfuse) track costs after execution but don't prevent overspend. AgentBudget is a Python SDK that gives each agent session a hard dollar
Hi HN, I’m Samrith, creator of Hyperterse. Today I’m launching Hyperterse 2.0, a schema-first framework for building MCP servers directly on top of your existing production databases. If you're building AI agents in production, you’ve probably run into agents needing access to structured, relia
Nine days ago I posted Off Grid here and you showed up - 124 points, 66 comments, bug reports I fixed same-day, and the kind of feedback that makes open source worth it. You told me what you wanted. Here's what I shipped: Your AI can now use tools — entirely offline. Web search, calculator, dat
Hi HN! I built OpenGem, an open-source, load-balanced proxy for the Gemini API that requires absolutely no paid API keys. GitHub: https://github.com/arifozgun/OpenGem The Context: Like many developers, I was constantly hitting "429 Quota Exceeded" errors while building
Move fast and break things" is a lie now. This place has been softened by corporate bureaucracy. Every "Show HN" I see is either a hollow AI wrapper or an "OS" that’s just three agents talking to each other. It’s performative and empty. I am a sociologist. I was never your &
Hi HN, Added a raw 45-second demo showing the DOM re-architecture in real-time: https://streamable.com/vw133i I got tired of the "Context Problem" with static portfolios—Recruiters want a resume, Founders want a pitch deck, and Engineers want to see architecture. Instead of
We built optimize_anything, an API that optimizes any artifact representable as text — code, prompts, agent architectures, configs, even SVGs. It extends GEPA (our prompt optimizer, discussed here previously: https://arxiv.org/abs/2507.19457 ) far beyond prompts. The API is delib
I built Syne because I was tired of AI assistants that forget everything after each conversation. Syne is a self-hosted AI agent framework where memory is a first-class citizen — stored as semantic vectors in PostgreSQL, searchable across millions of entries, and persistent forever. Key features: -
I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic
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