Instead of a live sale, this week's Dispo Day was the first public walkthrough of the new God Mode interface, followed by an open Q&A with Robert Wensley and Bryce Forrest from the data science team.
What the new God Mode is: a map-based search and profile tool that combines Investorlift marketplace activity with public real estate records. It works for sellers finding buyers, buyers finding deals, and anyone researching lenders, agents, or companies. It's in beta testing with existing Investorlift users in Arizona first, with other states to follow.
What was shown:
Search by address, neighborhood, city, or ZIP, and also by person, company, or agent to see every deal and entity tied to them
A ranked buyer shortlist for each deal, based on how close their past deals are in location, price point, and property characteristics, plus how recently they've bought and how active they are on Investorlift
A "dry powder" signal that surfaces buyers who just sold properties and are likely to redeploy cash soon
A color-coded map: deals sold through Investorlift, flips, buy-and-holds, likely short-term rentals (inferred from permit records), and MLS sold comps (updated weekly)
Buyer profiles with last purchase date, buying trend, price range, median purchase price, portfolio size, flip count, typical hold time, financing, top ZIP codes, and an activity feed
Seller, lender, and borrower stats on the same profile, since one company can play several roles
Relationship mapping: see who a buyer sells to, borrows from, and lists with, including the top investor-friendly agents in a ZIP code for novations
Verified contact information for registered users, a built-in dialer that can mark phone numbers as correct or disconnected automatically, and credibility-weighted reviews
A property profile with ownership, mortgage, equity, and permit history, plus buy-and-hold and flip calculators
The team said early back-testing on six years of Investorlift data suggests a 10-buyer shortlist has about a 44% chance of including the eventual buyer, and noted they were still validating the results for data leakage.
For buyers: you can save searches by buy box and check what's new in one click. With LiftGPT, you can also schedule daily or weekly searches that analyze listings against your own cost of capital, vacancy rate, and target margin, and report back only the deals that fit.
Q&A takeaways:
Choosing a wholesaling market: Robert's view is that the city matters less than return on ad spend and how fast cash cycles through the business. He also noted that most assignment fees come from properties in roughly the $250K-$500K range, where buyer demand is strongest, and that cities with sports stadiums tend to have deeper buyer pools
LiftGPT repair conditions: the preset options are for quick estimates. If you already know your scope, add up your own numbers and enter them as the repair estimate
Gap or private financing on a down payment: requested during the call as a LiftGPT feature, since cost of capital currently only reflects the hard money loan
Features discussed as upcoming include property images in activity feeds, contact privacy controls, and deeper LiftGPT integration with God Mode data. Timelines may change, so check back for updates.