SourcetoMCP
Connect Your Marketing Stack To AI & Gather Insights
What it does
Connect Google Ads, GA4, Search Console, TikTok Ads, Reddit Ads, Pinterest Ads and more to Claude, ChatGPT or any of your preferred AI chat platform. Your agent queries real numbers instead of guessing, and can change campaigns when you ask. Every call is logged, every connection scoped to you.
SourcetoMCP gives your AI agents governed, real-time access to your entire marketing, product and finance stack, with metrics and joins already figured out.
Connect marketing data to any AI agent. Ask a question in Claude, ChatGPT or your preferred AI agent, and get real data analysis. One-click connectors for the tools your team runs on. New sources land every week. Learns your team's metric definitions, entity joins and naming, then keeps them consistent across every agent and every question. Credentials encrypted and scoped per source. Agents get exactly the access you grant, nothing more. Every answer shows its work: the query, the joins and the sources. Blend ad spend, product events and revenue in a single question. Every MCP operation and result logged, never logging individual promptfrom sourcetomcp.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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Launched alongside, August 2026
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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