What's funny is I'm not even sure if I mean that accusatorially or admiringly. Maybe both.
I did see that you have 1 past deal listed on home page. It would be great if you can add just a single page titled "Past Deals" or "Highlighted Deals" and show a few houses that your AI bot identified. That's more likely to encourage potential subs.
Also, how do you calc the CAP rate etc? Do you crawl existing sites that already have this data, or do you generate it on the fly? If the latter, how?
And how does your site / email list stack up against the following (which I think are somewhat related to what you are doing).
1) RoofStock.com - https://www.roofstock.com - Based in Oakland, they do end to end investing online, from intent to closing on mortgage. Most are already rented too, and they even provide Property Management services. They have a great engineering team. I even landed a Sr. Software Engineer position with them last fall, but ended up turning it down. Highly recommend if you are looking for a tech job... I think they are still hiring.
2) Mashvisor - https://www.mashvisor.com - Based in Silicon Valley (I think). They identify and list properties with AirBnB and Vaca rental potential. I like them too, but their sales team is very pushy and you can't do anything without signing up for a monthly subscription. I had a demo with their sales guy last year, and the whole thing was geared towards getting me to signup and pay.
Tie unloosened, good mix of casual + business like.
Can't detect any obvious lack of confidence.
Making his head point towards the text seems like one of those cheesy commercials where a smiling person points at the text next to them.
Also, looking down and away from another person is not confidence inspiring. I don't think I need to cite research in order to point that out.
Real-estate investors are not looking for houses in the US and Canada. They're looking for investments in Los Angeles, or Kansas, or Salt Lake City, or Arlington Virginia, et al. If you're sending deals to someone in Arizona, for New Hampshire or South Carolina properties, they're overwhelmingly going to fall flat.
Whenever you have the listing breadth to do it, you need to segment the emails down closer to the end user location, or at least make that an option when they sign-up. If I'm looking for a real-estate investments as a normal tier investor (ie I'm not super rich) that might own between one and a few properties, and I live in Boston, I am not investing in properties in Phoenix outside of unusual circumstances (eg the great recession, or going in with someone I just happen to know from there that will handle things locally in Phoenix).
I'd probably go further and suggest you knock down the pin for a specific market first, before sending out broad spectrum listings spanning the US in an email list. Starting out beyond that narrow focus, imo, dramatically increases the odds of failure, that you never properly connect to your email receivers (they don't get enough properties for their local interest, and dump your email list).
Why can't I just browse them? I honestly don't want to deal with your spam in my inbox every day.
I think the business model is based on email subscribers. OP has mentioned elsewhere here that he modeled the site and offering very closely based on Scott's Cheap Flights .com which was in the Cheap Flights domain.
See their story on IH. 320K / month in recurring revenue. https://www.indiehackers.com/interview/scotts-cheap-flights-...
 : https://news.ycombinator.com/item?id=16579003
Makes sense, but I believe it's a lot easier to monetize an email list of niche subscribers for something like this.
 Source : 320K / mo => https://www.indiehackers.com/interview/scotts-cheap-flights-...
Interesting idea, maybe you could put more info on the linked page.
I think this site will work in many cases except the best. The best cases come from finding an owner before they list their home, which is pretty rare. When there's a service that does that I might consider signing up.
Wouldn't sending an email to a bunch of RE buyers create demand for a cheap property, which would (in theory) raise the bid, which would cascade to making the listing "not cheap"?
- Playing devils advocate on this one since I'm sure not everyone would bid for the same properties.
Please contact us at email@example.com and we'll figure out what's going on.
Considering the number of people that are going to glance over the text and assume that the button lets them see the deals you might want to have some basic help text.
I'd be a lot more forgiving if the site that was linked was an actual blog post that contained information on how deep learning helped tackle this problem. But all the site is, is a way to aggregate emails while throwing buzzwords in your face.
If the OP had actually posted a blog talking through things he did and how the NN helped and why he believes it is actually learning something useful and not just learning the noise, then this would certainly be interesting. But I've seen far too many people take powerful, flexible models with a large number of parameters and throw them at simple problems, with insufficient data and thought.
I'd normally give someone the benefit of the doubt...but taking the sum total of the quality of the linked web page, the complete lack of any meaningful information, as well as op's reply to my comment that added no real useful information regarding the actual benefit of throwing deep learning at this, I'm still inclined to stick to my original feelings regarding this post.
Redin/Zillow et al won't show you cap rates.
There is of course option c). That would be that taking a contrarian view on the technology will provide a strategic advantage to a business. But I don't see how that would apply here.