AgentiLoop Agent! for Mac

AI stories from Hacker News. Browse trending and recent posts, and see the AI percentage on each Hacker News page. JavaScript is needed to load the live feed. You can also browse AI stories on Hacker News Search . Some people are making Hacker News without AI. This is the opposite, only AI news. We discover posts from Hacker News’s rankings and recent submissions, without an AI keyword search. We read accessible articles and use an AI model to judge whether AI is a central topic, not just a passing mention. Results are cached and new posts are reviewed in the background. Trending balances points and recency; new sorts by time; top this week sorts by points. The percentage uses the same classifications for every post in HN’s top-story ranking , 30 posts per page. “Read” means article or submission content was analyzed. When an article is blocked, a confident headline classification may be used and is marked “title only”; otherwise the topic stays unknown. A range shows the minimum and maximum AI share while unknowns remain. Hover over a block to see its classification. These are model estimates, and HN’s displayed pages may differ.

Otōto is an MCP server for Claude Code and OpenCode: a small model on a server you choose explores the code and hands your agent short answers with checked citations. Otōto is an MCP server for Claude Code and OpenCode. Your agent hands it a question; a small model on a server you choose explores the code and brings back a short answer, with the lines that back it checked and quoted. macOS on Apple silicon and Linux · See the script · Open source · How it works Where does a failed request move on to the next model server? Llm::request tries each endpoint in turn; one that fails is marked down for 60 s and the next is asked. When every failure was one that passes (a dropped connection, a 502), it goes round once more after 2 s.

OpusJake is Jake Schincariol's operating system for building with AI. It's a working catalogue of the agents, workflows, prompts, and growth systems Jake uses with operators and teams to ship real products with AI, not demos. Jake is an AI operator and implementation consultant who helps founders and growth teams design, build, and scale AI-powered systems. Read Jake Schincariol's canonical profile or connect with Jake on LinkedIn . Plant the seed. Read the soil. A growing library of essays, playbooks, and field notes on building with AI: prompt patterns, agent architectures, evaluation, and the operating habits that compound over time. Join Jake's network of operators, builders, and founders working at the edge of AI. A place to trade tactics, share what's working, and find collaborators.