XICMO
Your AI marketing team, without the headcount
What it does
Xicmo is an AI-powered marketing and distribution platform that brings SEO, AI-search visibility, content, social media, community marketing, creator discovery, and marketing analytics into one connected workspace. Powered by 12 specialised agents, Xicmo helps teams discover opportunities, create and distribute marketing, monitor performance, and turn data into actionable growth work while keeping humans in control.
Xicmo coordinates specialized AI agents for SEO, GEO, social, and content, one workspace, credits you control, approve-before-publish.
Xicmo runs SEO, AI-search visibility, content, cold email, Reddit, X, LinkedIn and influencer outreach for you: drafts everything, publishes only what you approve. 13 live agents and integrations. You stay in control — Xicmo does the heavy lifting. Technical audits, keyword opportunities with country-level traffic estimates, and tracked rankings, wired to your real Search Console data. Checks whether ChatGPT, Perplexity and friends cite your brand, scores it weekly, and tells you exactly what to fix. Up to 100 keywords per batch, real Pexels imagery, internal links, drip scheduling, and one-click publish to Webflow, WordPress, Wix or Framer. Send, wait, follow up. Runs through your own…from xicmo.com
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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
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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…
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Life & fun · 10d ago · louisabraham.github.io
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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