Alternatives
Products that do what Aurevix does
Automated physics-grounded pipelines for real-world robotics
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Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io
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Interactive timeline of every major Large Language Model. Filterable by open/closed source, searchable, 54 organizations tracked.
Feb 2026 · llm-timeline.com
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autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer. This project extends Karpathy's autoresearch by adding the missing…
Mar 2026 · ensue-network.ai
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020
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We've been building SensorSurf and are thrilled to share our beta with the robotics community: https://github.com/SensorSurf/agent. SensorSurf is an open source platform that makes it easy for robotics engineers to collect and search data from their fleet. You can define triggers for when to record data (e.g. emergency stop) and capture the moments leading up to the event with rolling buffers. We integrate directly with ROS. Drop our agent into your system, and start collecting data! ================= What prompted me to found this company: > I was a perception engineer…
2023 · sensorsurf.com
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Train robot brains without demos on one GPU
Jun 2026 · app.notion.com
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We are exploring how teams can automatically audit data quality, detect problematic demonstrations, and build smaller, high-quality training sets before spending GPU time. We are looking for design partners to help shape the Calibra.
11d ago · calibrarobotics.com
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Hi HN, I’ve spent the last decade building hardware products like humanoid robots, 3D printers, and self-driving tractors. I needed a tool to navigate technical documents faster, so I created one with friends. This tool helps with component search, cross-referencing, comparison, and debugging. We’d love your feedback, whether you find it useful or not. Thank you! Try it here: www.convergelab.ai
2024 · convergelab.ai
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Hello HN, we’re open sourcing a new library called Quix Streams (https://github.com/quixio/quix-streams)—a high-performance Python and C# library that processes time-series telemetry data with message broker such as Apache Kafka, instead of a database. We’re a team of engineers who all worked together at the Formula 1 McLaren pit wall. We struggled to get wanted we wanted out of existing stream processing tech, so we built our own platform called Quix. Although our original requirements were pretty niche (process over 60k data points per second), our solution is designed…
2023 · github.com
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