Gantra
SEO, AI visibility and content, drafted daily.
What it does
Paste your URL and 12 AI agents audit your site free: SEO, technical issues and whether ChatGPT mentions you. Then they draft the fixes, posts and articles every day. Nothing publishes without your approval. The audit takes 2 minutes, no card required.
Gantra is a team of sixteen AI marketing agents: they audit your site, draft the SEO fixes, posts and articles, and track how Google and ChatGPT see you. You approve, it ships.
The same audit your site gets on day one, run against the landings everyone studies. Payments infrastructure landing, audited for AI-engine visibility. This is how the projects already running on Gantra work every day. 12 AI agents, one approval feed, real results. Here is what they have to say. "Thank you to the team behind Gantra. The SEO agent audits the site every morning, the GEO agent tells us where we stand in AI search, and the Reddit, LinkedIn and X agents have the drafts waiting before we open the dashboard. We approve from one feed, the calendar schedules it, and hiring stays the thing we actually spend our day on." "We are grateful for what Gantra gives a team our size. The…from gantra.so
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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.
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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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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…
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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.
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