Updated over 1 year ago on .
New Listings Analyzer for LA/Ventura, and Detailed Market & Comps Data Tool
I created this to identify opportunities faster, and to be more confident closing them! π
Identifying opportunity in new listings is easier with the Daily Spread Analyzer, as a flipper or wholesaler/wholetailer:
If it looks promising, run custom comps queries and check the current & past $/sf of renovated/distressed product in that city or zipcode on app.runcomps.org & enter your_best_friend
Here's a chart on 90066 I generated under Market Stats > Sales Data > Specific Zip Code:

- My above chart (more available) shows the Avg Renovated $/sf (High) over time in this Zip Code, something completely different than charts/providers based on Averages/Medians only, like every other platform (RedFin Below, https://www.redfin.com/news/data-center/):

- Can't select smaller locations such as City or Zipcode for their $/sf data, so it's useless helping me underwrite/verify a deal.
- Can set Zip Code for Median Sale Price data, but again it's the median/avg so it's useless helping me underwrite/verify a deal.
You can also run Sales Comps, and get a quick summary of some key metrics based on those comps! Take this π₯just-closed renovated property for exampleπ₯:
With the RUNCOMPS query of "22757 Charlemont Pl, Woodland Hills, CA 91364 5/4/2400-3050,0.6,300" we get an ARV Estimate that is ~4% off, and I picked this at random just scrolling through recently closed in my area

And the Market Stats $/sf of renovated property in that Zip Code matches up pretty well, so I know the ARV estimate is realistic:

You can also run Agent Stats to find/get in touch with the real top-agents in that area so you can triple-verify everything and/or list it with them when you are done.
app.runcomps.org & enter your_best_friend. If you want to be subscribed to the emails of the Daily Spread Analyzer, just contact me and I'll add you as a recipient.
Would love to hear any thoughts, especially ways to make it better for how you underwrite properties! Thanks for reading