Sutra

Engineering change on autopilot

[Sutra @heysutra]

Excited!!!

[sam. @dayumsam22]

@heysutra @ProductHunt https://t.co/VhRkbe5YYN here is our launch!

[Sutra @heysutra]

🚀🚀🚀

[sam. @dayumsam22]

LETSGOO @speedrun

building @heysutra with @hemanthug, enabling hardware teams to make faster decisions

[Sutra @heysutra]

It’s cooking

[sam. @dayumsam22]

Oh 👀 @speedrun

[Sutra @heysutra]

@dayumsam22 @speedrun @hemanthug ok boss!

[sam. @dayumsam22]

Let’s go @speedrun!

Building @heysutra with @hemanthug

[Sutra @heysutra]

@RohanChaubey4 @ProductHunt @twtofsahil Thanks😊

[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 https://t.co/kXyGj9kheO - 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 👀

[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 👀

[Sutra @heysutra]

@SamiraBehrouzan @speedrun 🫡

[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.

[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.

[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

[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

[Sutra @heysutra]

@twtofsahil @itzdgofficial @grok