Show HN: Lineation – One security control plane for all agents 7 days ago
Cool project. This looks credible and well thought out.
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AxelWickman
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Timefold tackles the same class of problems, but I thiink their's need a backend while mine runs in browser entirely. So mine works by running the C++ browser by compiling it directly to WebAssembly, so I didn't touch the solver code. The original library has bindings to python, so I did use AI to transpile that interface and tests so that the Typescript API mirrors the Python API.
In somewhat discrete domains with large combinatorial search spaces, I would argue they do. I built this for a conference planner SaaS, which felt very real. Probably have other use cases in routing, dispatching, staff scheduling, conference planning, shift assignment, warehouse picking, bin packing, fleet utilization, job-shop scheduling, matching supply and demand under constraints, etc.
Yeah agree. Really considering taking the project this direction
Every Byte Matters 2 months ago
Cool read. The AoS vs SoA speaks for itself.
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5+ years building robotics and applied AI/ML systems that ship to the real world. Deployed software to a fleet of 30 autonomous golf-ball picking robots, led end-to-end development of an ABB computer vision vision-guided industrial saffron harvester (UNet, NeRFs, Q-Learning), built a hyperspectral drone system for mine detection (UNet, SimCLR), and designed RL-based flight-route planning (PPO, NAF, DQN). Extensive experience connecting perception, sensors, simulation, and robot control all the way through to production. Also built an ATS with an integrated neural reranker capable of processing tens of thousands of candidates (RAG, PyTorch).
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Ask HN: Who wants to be hired? (April 2026) 4 months ago
Location: Lisbon, Portugal
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Technologies: Python, Rust, C++, ROS2, PyTorch, OpenCV, Isaac Sim, FastAPI, TypeScript, Svelte, PostgreSQL, Qdrant, Docker, Linux, ABB RobotStudio, computer vision, reinforcement learning, robotic manipulation, simulation
Robotics and applied AI engineer focused on getting models to work in the real world. I’ve built autonomous golf ball picking robots, vision-guided robotic systems for saffron harvesting, hyperspectral drone sensing pipelines, RL-based flight route planning, and production ML infrastructure. Open to contract or full-time remote work, including US hours.
CV: https://umami.axelwickman.com/q/UK4z4Ugue
Email: axelwickm@gmail.com