Whereismyitem 'Wimi
All-in-one package tracking & logistics management platform
What it does
whereismyitem.com is a comprehensive logistics management platform designed for businesses that need to track packages across multiple carriers without the complexity of managing separate tracking systems. Whether you're an e-commerce business shipping hundreds of orders daily, a logistics company coordinating multi-carrier operations, or a supply chain team monitoring inventory in transit, wimi provides a single unified interface to track, manage, and analyze all your shipments in real-time.
Does the same job
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- WWWAPM – WebAssembly Package Manager2022 · wapm.io · ▲186
Hi HN! I’m Syrus, from the Wasmer team. We just released the new version of WAPM that is an order of magnitude better than the previous one (that we also announced here in HN two years ago! [0]), enabling an incredible experience for using and publishing WebAssembly packages. The tech stack that we are using includes: * Python and Django (for the backend) with Graphene (for the open GraphQL API [1]) and Django Channels with websockets over GraphQL [2] for subscriptions * Next.js [3] with React-Relay [4] and Tailwind.css [5] for the frontend * WebAssembly and Wasmer [6] (for the online shell)…
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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
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AI · 19d 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