HelloData.ai was founded by a passionate team of data scientists and engineers with proven real estate domain expertise to help PropTech companies build data driven products. We’ve built real estate data data pipelines, predictive algorithms and workflow automation technology for startups, publicly traded companies, and everything in between.
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HelloData.ai's answer
We use AI to analyze the quality and condition of apartment listing photos to assess comparability. This helps us deliver the best rent comp recommendations in multifamily real estate, with 9/10 overlap with appraiser selected comps.
We collect listing data from millions of apartments every day at the unit level, so we capture the last listed rent before each unit is removed from the market. This rent is within $5-10 of actual leases on a rent roll based on several tests with clients.
We benchmark operating expenses using a model trained on over 25,000 multifamily properties, which delivers highly accurate expense benchmarks in any U.S. market.
HelloData.ai's answer
In under 1-minute, you can complete a full market analysis with rent comps, expense benchmarks and real-time data with HelloData.ai. Our platform is very reasonably priced for the functionality (no one else offers the same capabilities), and we offer a 7-day free trial.
HelloData.ai's answer
Real estate investors and property managers are our main clients. We typically work with acquisitions and asset management teams from large real estate owners, but we also have many appraisers, brokers and lenders using the platform.
HelloData.ai's answer
This is our 2nd startup. We sold the first one, Enodo, to Walker & Dunlop in 2019. After building incredible internal products for W&D for 4 years we are back at it again with HelloData.ai, leveraging recent advancements in AI to deliver the most sophisticated real estate market analysis product in multifamily.
HelloData.ai's answer
Python, PostgreSQL, and Vue.JS
HelloData.ai's answer
Greystone, Redwood Living, and Luxury Living
I've worked with the HelloData.ai team on data extraction and revenue management projects, and they are seriously skilled in real estate data science and engineering. It's rare to find a team that understands real estate as well as they understand technology. These guys are super responsive and always understand what I'm talking about when it comes to real estate. I can't recommend them highly enough!
Based on our record, Booking.com seems to be more popular. It has been mentiond 833 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Mind you between airlines and hotel websites, services like booking.com or airbnb, tripadvisor, klook etc its gotten easier and easier and easier to not only pre book things but pre pay for everything, including guides and entrance fees. So if you know a year ahead of time your exact dates, book everything and pay for it then the $4k you saved for the trip becomes your spending money for the trip. But most... Source: 7 months ago
Others, try using Hotel.com and booking.com in advance, but they are not guaranteed rooms, and almost every year I see people trying to argue with the front desk that they have a reservation. If a hotel is sold out, and you find a room on a 3rd party website, you are responsible for your own misery. Source: 7 months ago
Use booking.com I found a good rate last admin . I forgot my darn hotel though I wont lie lmao that whole week is a blur I can check my email though . Source: 7 months ago
I was planning on listing on houfy and VRBO just because there is no upfront cost so why not? Is there any reason not too? Is there any reason to try booking.com? There are a few other sites I checked out but none of them were even really operating in my area. Source: 7 months ago
I'm getting 166k from Airport to monkey forest in Ubud on booking.com. Source: 7 months ago
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