DispatchSEO
The open-source SEO manager your coding agent runs
What it does
You already pay for Claude Code, Codex or Cursor. DispatchSEO gives that agent your SEO job: it researches keywords, writes guides and small free tools, and opens each one as a pull request on your repo. Nothing goes live until you merge. It checks rankings and Search Console every day and sends the agent back to fix pages that slip. AGPL, one docker command to self-host, or use the cloud.
Make your coding agent your SEO manager. It researches from Search Console, writes one article a day and opens a pull request - you merge. For sites built in code (Next.js, Astro, any repo) and WordPress. Open source.
The agent that built your product now runs your SEO. Use your AI: Claude app / Claude Code / Codex / Cursor You have a product to ship and SEO is the job that keeps sliding. Hand it to the agent you already run: it researches, writes one article a day and opens a pull request. You keep the final say. Three side projects, no marketing time. Each one keeps publishing on a schedule, and you get one weekly note on what moved in Search Console. Distribution stops depending on your Saturday. You built the site with Claude Code or Cursor and it is live. Nobody vibe-coded the SEO. Point the same agent at it and merge what it opens. Agencies start at $2,000 a month. You already pay $20 for an agent.…from dispatchseo.com
Does the same job
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com