Plexus – Telemetry for hardware teams who could build it but shouldn't

Hacker News

Hi, I'm Ann, building Plexus. We gives hardware teams live dashboards and stored history for your sensor data, so you don't have to build and maintain that setup yourself. You can try it without signing up on our site. I built it because small hardware teams keep ending up with the same homemade stack (InfluxDB, Grafana, a pile of scripts) and one engineer who is the only person who knows how it all fits together. Building it is the easy part. Maintaining it for the life of the company… that's not fun for anyone and it's time taken away from the hardware. We have a free plan for up to 3 devices. Paid plans are $500 a month, and the first 50 startups get a design partnership: $300 a month for the first 6 months in exchange for feedback and a case study. We're early. If you run your own Grafana setup for hardware, I'd love to know: what would it take for you to stop maintaining it? and/or if you work in hardware - have any feedback for us?

Visit product View on Hacker NewsSep 16, 2026

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nativeThis product was originally launched on this platform.

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64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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