SponsorMatch
Find sponsors that actually fit your sports event
What it does
Sports event organizers waste hours pitching the wrng sponsors — emailing info@ inboxes, guessing what o charge, hearing nothing back. SponsorMatch fixes his. Describe your event → get 9 AI-ranked sponsor mtches in 30 seconds, each with: • Why they fit your udience • CPM-based deal pricing • Verified decisionmaker email + LinkedIn • Ready-to-send pitch email uilt for tournament directors, league operators & mior league teams running sponsorship without an agenc.
Does the same job
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I am not from North America, and moved there a couple years ago. After being invited to the first fantasy league and seeing the platform they were using, I couldn't bring myself to check it every day. An excel sheet would have been more appealing to use than this. So I decided to create my own. But on the side? This would take ages. I am very confident with Rust and JavaScript, but it still takes ages to build something like that. Good prompts, and a few long nights later, and I could create something fun and easy to use. Have a look: https://fantasy-frontend.fly.dev/ The…
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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 · 17d ago · simedw.com
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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 · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com