The months of manual takeoffs seem like the strongest part of the story. You didn't just train the model on drawings; you first learned how experienced estimators actually interpret them.
Hey, congrats on theTakeoff.ai — automating material takeoffs from P&IDs and isometrics is a real pain point that's been underserved forever.
I actually ran your product through Zarek (an AI launch co-pilot I built — [zarek.tech](https://zarek.tech/)) to see what a structured launch roadmap looks like for it. Here's what came out:
Positioning copy — "The only takeoff tool with a native ASME code engine. Built for P&IDs, isometrics, and legacy scans — not architectural blueprints."
Demo content — A short screen recording showing: upload a P&ID → Zarek extracts line numbers, identifies components, applies ASME codes → exports a bid-ready estimate. Zero manual input.
Targeted directory listings — ENR, Autodesk Construction Community, niche EPC forums, ProductHunt (under "Developer Tools / Construction Tech")
Outreach copy for IH/Reddit/LinkedIn — Each channel gets its own voice. The LinkedIn version leads with "weeks → hours." The Reddit version leads with a war story about a bad estimate.
SEO seed post — "How EPC contractors are losing bids on bad takeoffs (and what's changing)" — drives long-tail traffic from estimators Googling the problem.
Takes maybe an hour to go from zero to a full draft plan + copy ready to review.
The elbow line is the whole post. You set out to automate the task as an outsider would describe it, and months of watching taught you to automate how the work actually flows, schedules first, ratios for the long tail, counting only as the fallback. Most AI products never make that turn. They ship the faithful automation of the wrong method and wonder why practitioners shrug.
The no-accuracy-percentage decision is the braver one though, and I think it generalizes. Every category with AI in it right now leads with an unverifiable number, and buyers have learned to discount them all to zero. "Click any output and see the drawing and the rule behind it" replaces a claim with an audit. You're selling the chief estimator confidence in their own judgment instead of asking for faith in yours. Building in a different space (business systems) and we landed somewhere similar: don't claim reliability, show the reasoning before anything applies. The trust transfers better.
Question from the domain outsider: what happens when a parametric rule is wrong for a specific job - new spec, odd client standard? Is there a path for the estimator's correction to flow back into the rules, or does each correction live and die on that one takeoff?
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Estimators spend hundreds of hours on takeoff before they know whether a job is worth bidding, so good work gets passed on. We give those hours back, and every quantity we produce traces back to the drawing.
3 Comments
The months of manual takeoffs seem like the strongest part of the story. You didn't just train the model on drawings; you first learned how experienced estimators actually interpret them.
Hey, congrats on theTakeoff.ai — automating material takeoffs from P&IDs and isometrics is a real pain point that's been underserved forever.
I actually ran your product through Zarek (an AI launch co-pilot I built — [zarek.tech](https://zarek.tech/)) to see what a structured launch roadmap looks like for it. Here's what came out:
What Zarek mapped out for theTakeoff.ai:
Positioning copy — "The only takeoff tool with a native ASME code engine. Built for P&IDs, isometrics, and legacy scans — not architectural blueprints."
Demo content — A short screen recording showing: upload a P&ID → Zarek extracts line numbers, identifies components, applies ASME codes → exports a bid-ready estimate. Zero manual input.
Targeted directory listings — ENR, Autodesk Construction Community, niche EPC forums, ProductHunt (under "Developer Tools / Construction Tech")
Outreach copy for IH/Reddit/LinkedIn — Each channel gets its own voice. The LinkedIn version leads with "weeks → hours." The Reddit version leads with a war story about a bad estimate.
SEO seed post — "How EPC contractors are losing bids on bad takeoffs (and what's changing)" — drives long-tail traffic from estimators Googling the problem.
Takes maybe an hour to go from zero to a full draft plan + copy ready to review.
If you want to try it for your own launch, drop me a message: wangc2016217@gmail.com or just hit [zarek.tech](https://zarek.tech/).
The elbow line is the whole post. You set out to automate the task as an outsider would describe it, and months of watching taught you to automate how the work actually flows, schedules first, ratios for the long tail, counting only as the fallback. Most AI products never make that turn. They ship the faithful automation of the wrong method and wonder why practitioners shrug.
The no-accuracy-percentage decision is the braver one though, and I think it generalizes. Every category with AI in it right now leads with an unverifiable number, and buyers have learned to discount them all to zero. "Click any output and see the drawing and the rule behind it" replaces a claim with an audit. You're selling the chief estimator confidence in their own judgment instead of asking for faith in yours. Building in a different space (business systems) and we landed somewhere similar: don't claim reliability, show the reasoning before anything applies. The trust transfers better.
Question from the domain outsider: what happens when a parametric rule is wrong for a specific job - new spec, odd client standard? Is there a path for the estimator's correction to flow back into the rules, or does each correction live and die on that one takeoff?