Tuck · Your Home's Brain
Scan your closing packet. Catalog your home in seconds.
What it does
Tuck turns your phone into your home's brain. Photograph an appliance or scan your builder's spec sheet — AI extracts every model number, filter size, warranty, and serial number automatically. Ask your home anything. "What's my furnace filter size?" "Who installed the roof?" Tuck answers from what you've taught it. Smart reminders for maintenance. Personalized tips based on what you own. No paywall until you've captured 20+ items and love it. Built by a homeowner who needed Tuck to exist.
Does the same job
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- DTDwellable – The app I built after waiving home inspection during CovidOct 2025 · apps.apple.com · ▲5
When my wife and I bought our first home in 2020, it was peak COVID. Our agent actually asked us to waive the home inspection, which was terrifying. I ended up walking through the house myself with a set of handwritten notes: “check if Kitchen outlets are GFI,” “make sure toilet flushes”, “test the bath fan”, etc. That experience became the seed for Dwellable, a home maintenance and inspection app for homeowners like us who didn’t know where to start (both before and after buying). The app automatically pulls your property records (square footage, year built, fuel type, etc.) and uses AI to…
More ai this month
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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