Sutra

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Sutra

Sutra

@heysutra

Engineering change on autopilot

San Francisco, CA Katılım Mart 2026
3 Takip Edilen29 Takipçiler
Sutra retweetledi
Product Hunt 😸
Product Hunt 😸@ProductHunt·
Congrats to @heysutra on launching on YC Day and being selected for a YC interview after the dust had settled 🚀 We're not done with special events quite yet, so makers, ready your launches, something big is coming 👀
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Sutra
Sutra@heysutra·
Still smiling from this one! @ProductHunt calling out Sutra’s launch and the YC interview selection. If you're in hardware, manufacturing, or scaling product teams, DM me or check heysutra.com - happy to chat. Let’s keep building.
Product Hunt 😸@ProductHunt

Congrats to @heysutra on launching on YC Day and being selected for a YC interview after the dust had settled 🚀 We're not done with special events quite yet, so makers, ready your launches, something big is coming 👀

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Sutra retweetledi
Sahil Jagtap
Sahil Jagtap@twtofsahil·
@hthieblot Long term, the vision is an AI mechanical engineer that automates repeatable workflows and helps teams scale hardware development without scaling headcount.
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Sutra retweetledi
Sahil Jagtap
Sahil Jagtap@twtofsahil·
Sutra connects scattered engineering data across PLM, ERP, MES, docs, and emails and lets you chat directly with your data. On top of that, it automatically highlights the impact of an engineering change. For example, you can ask: “Replace Part A with Part B” Sutra then: • Identifies every assembly where the part is used • Flags impacted inventory and production • Surfaces supplier, cost, and lead time changes • Suggests who needs to review So instead of manually stitching context across multiple systems, you immediately see the full blast radius of an engineering decision.
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Sutra@heysutra·
Manufacturing engineers spend 4 hours on a single change request. Not engineering. Just hunting part numbers, checking BOMs, formatting spreadsheets. Sutra does it in 2 minutes. Engineering change on autopilot. heysutra [dot] com
Sutra tweet media
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Sahil Jagtap
Sahil Jagtap@twtofsahil·
everyone’s building ai for tech companies. nobody’s building it for the people who actually make things. manufacturing runs on plm systems from the 90s, spreadsheets, and tribal knowledge in engineers’ heads. the data exists. it’s just never been connected. hemant is a design engineer at a $1.5 B manufacturer. last month he spent 4 hours changing a bolt. not engineering, just hunting data across systems that don’t talk to each other. we fixed that. 2 minutes now. that’s @heysutra
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