
The Orcas Valley
The practical path from idea to funding.
What it does
Orcas Valley helps first-time founders turn ideas into real startups using one clear system. You learn, build, pitch, and prepare for funding in one place. What’s different? • The Orca Blueprint. A practical guide built for beginners. • AI pitch deck generator. Create investor-ready decks without experience. • Investor scouting portal. Find and research angels worldwide. • Annual funding opportunities. Compete for real capital based on readiness. You stop guessing. You start building.
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Hi HN We built a tool to help founders understand how modern fundraising (with safes) works, and how much dilution you can expect when raising money. The project is open-source. The code is a mess right now, but it'll get better I promise. You can also help with that. We didn't build this to make money. We genuinely did it because we were looking for it, and couldn't find it. We're in fact in the process of fundraising for a company, and at first glance the process looks simple. Just an excel sheet will do! But then the more we dug into it and tried different simulators, the more we realized…

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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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Launched alongside, January 2026
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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Automatic AI-powered code reviews the moment you open a PR
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