Match with Care
An AI-native marketplace for elderly home care.
What it does
Match with Care is a faster, more human way to find trusted home carers. Families connect directly with vetted carers who actually fit their needs. We focus on transparency and speed. Families can browse carers instantly, compare profiles, and speak directly without middlemen slowing things down or inflating costs. Carers get better pay, more control, and access to meaningful work.
Does the same job
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- KSKate's App2025 · katesapp.org · ▲160
Caregiving is a natural, human act of compassion and caring, and most of us, at some point, will rely on someone to help us with our health care (> 70%) or be tasked with helping someone else (> 10%). Kate's App is a tool to coordinate doctor contact information, prescriptions, pharmacies, appointments, notes, and other information with family and caregivers, and do it safely and privately. This is not a clinic portal, and is not associated with any insurance or medical providers. The app is 95% complete, and is entirely usable as is (for any interested beta users). I intend to clean up 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.
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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…
AI · 27d ago · cactuscompute.com
Launched alongside, April 2026
the whole month →
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Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
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Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
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Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app