
Utiliora
Simple tools. Instant results. NO login. NO privacy worries.
What it does
Tired of slow, bloated tools that force signups and track your data? Utiliora.cloud delivers 100+ fast, browser-based tools — calculators, converters, SEO, image, dev, and productivity utilities — all client-side. No accounts. No installs. No ads. No servers touching your data. Works instantly on desktop or mobile. Launched days ago, already ranking worldwide. Try any tool in 2 seconds. Free. Forever. 👉 https://www.utiliora.cloud
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all alternatives →- UOUtiliti – Online and OSS Utilities (Private Notes, JSON Viewer, etc.)2023 · utiliti.dev · ▲14
Hi HN! I was recently on a sabbatical and wanted to checkout the advancements in the frontend space. I would love to show you all https://utiliti.dev! I often find myself resorting to online web-based utilities, especially for things like note sharing, or viewing JSON as a tree when my IDE isn't open. Having used a few tools in the past, I was never sure what those tools were doing so I ended up building something myself and open sourced it. Highlight: I really enjoyed building private notes, an easy and quick way to share something private over email that gets destroyed on read…




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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

