- Analyze cash flow potential via Rentometer rents - Predict appreciation based on historical trends - Break down local demographic data
Goal: Automate the time-consuming parts of deal analysis and help investors screen properties faster. Would you be willing to pay $20/mo. for something like this? Brutal feedback welcome!
- Analyze cash flow potential via Rentometer rents - Predict appreciation based on historical trends - Break down local demographic data
Goal: Automate the time-consuming parts of deal analysis and help investors screen properties faster. Would you be willing to pay $20/mo. for something like this? Brutal feedback welcome!
"Alex, I appreciate how direct you are about looking for feedback. I think you’re onto something, but Brett raises an important point — the baseline tools (like BP’s HouseCanary integration or even just ChatGPT with a Zillow link) already cover a lot of ground.
Where I see real value is in the hyper-local layer. Things like:
Renovation costs adjusted for local contractor rates (not national averages).
Neighborhood data that isn’t just demographics, but factors investors actually track — school rezoning, insurance costs, landlord/tenant laws, etc.
Cash flow assumptions that can be tweaked for different investor profiles (flippers vs. buy-and-hold vs. BRRRR).
For $20/month, the bar is high because many investors already stitch together free/cheap tools. But if you can make it hyper-local, customizable, and dead simple to use, then it’s less about competing with ChatGPT and more about giving investors a tool that speaks their language in their market.
Curious — how are you thinking about the renovation cost side? That’s where most tools I’ve seen fall flat."