HeyJaredThe Startup Scaffold
The Startup Scaffold podcast features conversations with founders, executives and leaders in the construction industry ecosystem to help entrepreneurs with their journeys founding and building construction technology companies.
- Indexed videos, last 90 days
- 14
- Latest publication
- Sep 27, 2026
- Audience
- ~65 subscribers
- Earliest in this view
- Jul 13, 2026
Latest videos
In construction tech, vision is important. But investors want to see what's real today. (opens the original)
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It’s easy to say: “We’re building the next Procore.” But ask an industry professional what they think, and you might hear: “Your product currently solves 0.01% of what Procore does.” That’s not necessarily a bad thing. The important part is being realistic about where you are today—and having a credible path to where you're going. Investors want to know: What do customers want today? How are you selling it? How will you grow it? And how does that first wedge get you toward the bigger vision? The
AI doesn't have enough file data (opens the original)
AI could squeeze the mid-market of construction. (opens the original)
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At the top, the largest contractors have the resources to build internal innovation and AI capabilities. At the bottom, smaller contractors may eventually be consolidated or acquired by larger players and private equity. Mid-market contractors are in an uncomfortable position: • They're large enough that technology can create a meaningful competitive advantage. • But often not large enough to build their own AI teams. • They don't have the margins to invest heavily in R&D. • And they still have
CVCs fight for follow on rounds (opens the original)
AI in construction has a pricing problem. (opens the original)
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If ChatGPT costs $20/month, how much are customers willing to pay for another AI tool? An AI tool might save someone hours every week. But how much are those hours actually worth? Take a project engineer. When Alice ran the numbers on how many hours she worked at her job, she realised it was below minimum wage. The project was challenging and the team was working 7 days a week. So while an AI tool could save her 10 hours a week, that sounds like a huge productivity gain, but what’s the willingne
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Audience
~65 subscribers
Measured Sep 19, 2026
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