Ok I will check those websites out, Thank you.There's a variety of ways to get a deal in front of you (I'm mostly a flipper), but basically if it looks promising, I run custom comps queries and check the current & past $/sf of renovated/distressed product in that city or zipcode.Here's a chart on 90066 I generated from my tool 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.Then if that looks decent, I'll run Sales Comps, and get a quick summary of some key metrics based on those comps.

Some companies query many databases via their subscriptions and are using technology they have built.

Here's a list of tasks where ChatGPT can be particularly beneficial:Initial Client Interactions: Use ChatGPT as the first point of contact on websites to answer basic client queries and gather preliminary information.Property Information: Automate responses to common questions about property listings, such as square footage, amenities, and nearby attractions.Appointment Scheduling: ChatGPT can help schedule property viewings or meetings based on the broker's availability.Market Updates: ChatGPT can be programmed to provide recent market statistics, price trends, or news to clients on demand.FAQs: Handle frequently asked questions about the property buying/selling process, brokerage fees, or other standard real estate queries.Document Explanation: Brief explanations of common real estate documents, terms, and jargons, ensuring clients have preliminary understanding before detailed discussions.Lead Qualification: By asking potential clients a series of questions, ChatGPT can help in initial lead qualification, filtering out those who aren't serious or ready to move forward.Feedback Collection: After a property tour or meeting, ChatGPT can gather feedback, which helps in improving services or adjusting property prices.Recommendations: Based on client preferences, ChatGPT can suggest properties from the broker's listings.Follow-ups: Automated reminders or check-ins with potential clients to maintain engagement.Education: Offer brief tutorials or explanations about real estate concepts, market trends, or investment advice.Localization: Provide information about neighborhoods, schools, and local amenities to clients interested in specific areas.Transaction Updates: Keep clients informed about the status of their property transaction, from initial offer to closing.Referrals: Encourage satisfied clients to refer friends and family by sending automated referral requests or reminders.Networking: Introduce and maintain relationships with other brokers, agents, or relevant professionals in an automated yet personable manner.Maintenance Reminders: For brokers also involved in property management, ChatGPT can remind tenants of maintenance schedules or gather feedback post-maintenance.Reviews & Testimonials: Automate the process of collecting reviews and testimonials from satisfied clients for promotional use.Mortgage & Financing Info: Provide preliminary information on mortgage rates, lending institutions, or financing options available.Training: New agents in the brokerage can use ChatGPT for training purposes, asking questions about company policies, sales techniques, or market nuances.Market Analysis Reports: While detailed analysis might require specialized tools, ChatGPT can give general market outlooks based on data provided to it.By leveraging ChatGPT in these areas, brokers can increase efficiency, enhance client engagement, and free up time to focus on relationship-building and closing deals.

@Alicia Marks thanks for querying the community.To David Greene and other podcast hosts:For the folks in the middle-not newbies, and not full time RE, grinding away at 9-5 and investing in RE on the side, what are your go to strategies to maximize Cashflow?

Let say this requires 1kbps transmissionNow AI query requires 2.9 w/h.

There's a variety of ways to get a deal in front of you (I'm mostly a flipper), but basically if it looks promising, I run custom comps queries and check the current & past $/sf of renovated/distressed product in that city or zipcode.Here's a chart on 90066 I generated from my tool 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.Then if that looks decent, I'll run Sales Comps, and get a quick summary of some key metrics based on those comps.

A link to Fannie Mae has nothing to do with my query

I agree with Nicholas, I think you can build a very basic query that collects info from submitters, and then returns results based on one data set, like geo.

For appealing appraisal, the easiest way is absurd adjustments (and adjustments are often absurd: $10k for a BR when simple query of average 2br vs 3br sold will show value of that extra BR on average, same for bathrooms, etc).  

Take this 💥just-closed renovated property for example💥:With my 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 areaAnd 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.