Surfaice reposted this
AI for repeatable construction. Repeat YC founder (Mighty Buildings, Socap.ai). Former VC with 2 unicorns from seed portfolio. Raised over $180M 💥
Hi folks, as you know I started my career as a VC (2 unicorns grew from a seed portfolio I managed) then I started building my own companies. But only recently I realized how important it to balance interests of both sides well, especially, if you build businesses that require scaling of physical stores / locations. At Surfaice (https://surfaice.pro/), we help founders of physical businesses (retail, QSR, dark stores etc) scale their network by deploying AI-workflows automating repetitive PM taks from site selection to GC bidding. We decided to start building a knowledge base which will help those founders. And one of the key question is what scaling success metrics are most important. I would love to ask my network to share their insights if possible. #SurfaiceAI #ConstructionTech #AgenticAI #futureconstruction #ConstructionAutomation #RepeatableRealEstate #constructionAI #ProjectManagement #RealEstateInnovation #PropTech #ConstructionEfficiency #RetailExpansion #QSRTech #AIWorkflows #ConstructionProductivity #CityScapeGlobal
Victor Gorovoy
1mo
How do you see the "Gross Profit of New Units Opened" metric adapting to the unique challenges and variables in the construction market? Specifically, how might factors like regional demand, fluctuating material and labor costs, economic cycles, and project timing affect profitability, and how could this metric be leveraged using AI-workflows? Thank you
Omar Zhan
1mo
Slava Solonitsyn I’d be curious to see the final list! My biggest metrics would be capex payback period and actual vs planned budgets
Chief Development Officer | Kellogg Executive MBA ‘25 | Forté Fellow
1moFantastic initiative! Scaling physical locations requires such a nuanced approach, and the right KPIs can make all the difference. Here are a few key metrics to consider: Time to Open ⏱: Measures efficiency from site selection to grand opening, highlighting any bottlenecks. Cost per Location 💸: Offers insight into financial sustainability by tracking all opening costs. Warranty Claims 🛠: Helps assess construction quality, flagging any build issues early on to maintain standards. I’m excited to see how this knowledge base will support founders navigating these complex challenges!