Startr
Co-founder matching. AI proves the fit.
What it does
Startr is an invite only co-founder matching platform built for serious founders. Proof of work required to get in — builders share GitHub, operators share traction/problem/market research. AI matches you based on what you're actually building. Before you commit to anyone, you solve a 48-hour business challenge together. AI scores your compatibility. No bots. No ghosting. Just serious founders. Early access waitlist open now at www.getstartrapp.com
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Y Combinator Co-founder Matching2021 · ycombinator.com · ▲644YC’s free online platform to help you find your co-founder
- FMFounders Match – The First AI-Powered Co-Founder Matching Platform2025 · foundersmatch.ai · ▲7
Hey everyone, I just launched https://FoundersMatch.ai , a tool built to solve one of the most frustrating startup problems: finding a truly compatible co-founder. Instead of matching on just interests or skills, we use: * AI-powered compatibility analysis * Behavioral science frameworks * Startup psychology and proven founder-matching models Why it matters: 65% of startups fail due to co-founder conflict. And it usually takes months to even find someone potentially compatible. Founders Match helps you: * Avoid mismatches early * Get detailed insights before a call * Match based on…
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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
Astute▲585Automate your B2B brand going viral, with new media creators
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
- NW
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
- FM
Dev tools · May 2026 · github.com