This week's Dispo Day was an exclusive pre-release reveal of God Mode 2.0 with Robert Wensley, plus updates from Bryce Forrest from the data science team, Robert's take on the current market, and open Q&A.
What God Mode 2.0 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. Beta testing is expected to start with existing Investorlift users in Arizona, with other states to follow.
What was shown:
Pick your own comps: you can select and deselect comps to adjust your ARV, and the team is working on highlighting which comps were fix and flips or buy-and-holds
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, portfolio size, typical hold time, financing, top ZIP codes, and an activity feed
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
A built-in dialer that can mark phone numbers as correct or disconnected automatically, plus credibility-weighted reviews
A property profile with ownership, mortgage, equity, and permit history, plus buy-and-hold and flip calculators
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. Most assignment fees come from properties in roughly the $250K-$500K range
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
Want to be an early beta tester in Arizona? Reach out to David at david@investorlift.com. Next week, the team plans to make live calls in God Mode 2.0, so bring your Arizona deals. Timelines may change, so check back for updates.