Collect and search robotics data with SensorSurf

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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 working on autonomous boats. > I needed tons of imagery to build computer vision datasets. > It was impossible to offload all this data over satellite. > I interviewed robotics companies, and learned this was a common problem. ================= Our beta enables you to: 1. Trigger recording on arbitrary ROS topic data. 2. Capture the data leading up to the trigger (rolling buffer). 3. Offload over a poor connection (set max upload rate). 4. Search imagery with natural language. ================= Open source announcement: https://www.sensorsurf.com/blogs/were-going-open-source

Visit product View on Hacker NewsFeb 28, 2023

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73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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