The AI-native test infrastructure layer for hardware companies

San Francisco / San Diego
Joined December 2025
Daqstra retweeted
Bringing the demo in alumni demo day @ycombinator
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Daqstra retweeted
Happy birthday to the best cofounder of @daqstra
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We’re launching today!
Test infrastructure shouldn’t bottleneck great engineering. Today, we’re launching @daqstra with @ycombinator. Daqstra turns complex test infrastructure into an AI-native operating layer. We’re Anchit and Darell, the founders of Daqstra. We first met while testing liquid rocket engines in the Mojave Desert, where we realized much of the friction wasn’t the engines—it was the infrastructure around them.
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Daqstra retweeted
Just another day of two founders visiting engineers and understanding their pains.
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🚀
We thought building a cryogenic rocket engine would be the hard part. It wasn’t. The real bottleneck was everything around the test: fragmented hardware, brittle scripts, manual procedures, redlines, and hours spent digging through logs. So we built Daqstra: an AI-native test orchestration platform that brings hardware, live data, procedures, automation, and analysis into one place. Today, we’re excited to share that Daqstra is part of Y Combinator S26. If your team runs complex physical tests, we’d love to talk.
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Ad astra per Daqstra
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We’re joining @ycombinator for the summer 2026 batch!
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It feels like yesterday we were building this in a basement workspace — just the two of us and a pile of hardware, writing code between test runs and driving back and forth between the desert and our university. Now we’re taking it to enterprises everywhere.
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The goal hasn’t changed: make physical R&D as fast and iterative as software. If your team runs test campaigns and feels the same friction we did, we’d love to talk — we’re onboarding a handful of early customers now. — Darell & Anchit
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A glimpse of what’s next. We’re already building this for real test engineers. This is where test infrastructure is going. Visualized with AI. Edited by humans. #deeptech
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We natively support @ollama @OpenAI and @GeminiApp agents for our data acquisition workflows. - Anchit
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Human-in-the-loop control doesn’t scale. The future is software-defined.
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The only thing AI about this video is our agents running behind the scenes to keep your tests on track!
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Physical R&D generates massive amounts of data, but most of it gets trapped in one-off rigs, scripts, and programs. Our AI-native data layer turns raw signals from real-world tests into structured data teams can reuse and build on across their organization. We’re live today in rocket test stands and advanced hardware teams— and we’re just getting started!
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Yes, [DAQ]stra lets you automate rocket science too. What would you use our platform for?
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