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What is the Wedge Deal Finder AI
What is the HouseHack Wedge Deal Finder
More information on the wedge deal identifier AI.
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By Stock Chat

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27 thoughts on “The truth about my startup s software ai househack wedge finder ai.”
  1. Avataaar/Circle Created with python_avatars Double T says:

    You're just a grifter Kevin. And a beta normie with no clues 🤣…

  2. Avataaar/Circle Created with python_avatars Isaac’s Trade says:

    Thought this one quit lame

  3. Avataaar/Circle Created with python_avatars Ian Cordell says:

    I really feel left aside hearing and seeing several testimonies from people on profits they make from Bitcoin/Forex Investment. Can someone recommend a good expert that trade on my behalf and generate profit for me.

  4. Avataaar/Circle Created with python_avatars TheJsan says:

    The truth!

  5. Avataaar/Circle Created with python_avatars Joshua Lindsay says:

    Kevin has no ideal how to make money in the software biz… but hey I’ve only been working in tech/silicon valley for the past 20 years as a developer, manager… at best he’ll have the equivalent of a excel spreed sheet alerting him to properties for sale, that he may or may not try to buy with his own money, but would anyone pay money for thi as a app or a SaaS product? I Doubt it…my point is he’s pitching his Realestate biz as a software startup… so soliciting his subscriber base to invest, is only going to go towards his realestate investments, not to building any significant software… kevin say as much in this video…. So, is Kevin saying buy a peace of the tech startup, which gives you shares in a worthless startup, which he will probably fold sometime next year, while Kevin keeps the money he raised from the selling of stock shares? I’m guessing Kevin is not saying he will cut you in on the profits from the realestate he buys…. So your stuck with shares in a software company that makes no money, to fund/build a tool he might use himself to buy property which is not part of the startups assets or revenue sources…. Hum, sounds like a terrible deal.

  6. Avataaar/Circle Created with python_avatars Ravi Shankar Prasad says:

    The form is asking ssn and all other details.. how are they being stored.. that's very sensitive information.

  7. Avataaar/Circle Created with python_avatars jitone1 says:

    what's the tech stock kevin mentions from time to time that is related to tesla …somehow, i forgot?

  8. Avataaar/Circle Created with python_avatars Financial Shinanigan says:

    Pretty telling when your Leaving YouTube video has double the views of your start-up video

  9. Avataaar/Circle Created with python_avatars jeffsupersaiyan says:

    Im poor . I have about 75 dollars ?

  10. Avataaar/Circle Created with python_avatars Ben Parker says:

    While AI can be good, why not use your strengths to scale today. You have lots of followers, course members etc. Have them find wedge deals as leads and provide a subscription/SPIFF or some other form of small commission ($100-200)or something else of value like training, if the your company executes the deal. That way you are scaling Kevin and this company becomes more than you. It might also be a good way to find potential employee agents who could be successful or other markets where more opportunity exists. It has the potential to diversify risk from particular areas as well if there are weather related impacts that exceed expectations. Basically social media and engagement are what you accel at use that to accelerate the business opportunities. At very least to avoid training bias, you need to open up the training model to other people for verification to scale the training model.

  11. Avataaar/Circle Created with python_avatars Veneration says:

    In other words it filters properties according to their condition.

  12. Avataaar/Circle Created with python_avatars TheLoneWolfOfWallStreet says:

    I'm an engineer this idea isn't novel, but a trivial solution. Who's down to implement this over a few sprints? We can open source the software

  13. Avataaar/Circle Created with python_avatars Jael Lloyd says:

    that was very information & I appreciate all your detailed info, commenting because busy folks forget to comment sometimes but Ken you and your fam means the world me & my friends so wanna add a positive comment to any ass sucking haters out there poo on them!ignore the dub bitches and know you are the shit! wouldn't be where im at in life without you sharing and I deeply appreciate it!

  14. Avataaar/Circle Created with python_avatars Aj says:

    So ur selling wedge deal opportunities ( flipping houses… nothing new) using money from investors who u haven’t quite figured out how to compensate in markets u havent quite decided upon while developing an AI that does mo betta while saying u need to be “on the ground” for all deals which is likely a sloppy foundation for the need for a private jet later on. “ u have to teach the AI that thats NOT a wedge deal” … are u saying ur AI cant identify a basic non starter deal?

  15. Avataaar/Circle Created with python_avatars Z D says:

    Just a couple basic thoughts:

    1. Whenever someone says training a model based on "MY" definition, most likely you are just building a rule based engine with a goal of automation, which sounds like exactly what you are doing – a rule based system that automates / scale your deal selection thought process. In addition, when you teach "AI" how "YOU" think, this by default introduces bias in your model, after all, the images you label to be "good deals" are not really ground truth, as they haven't proved to be real good deals in reality, but just what "YOU" think. But of course, you can argue that since you are very experienced, you precision may be high, and that's fair, but still to truly make your "AI" generalizable, it needs to access ground truth, as they are many factors the model can learn other than what's in the images.

    2. The barrier to entry seems to be very, very low from the tech side (solely based on what you shared). Quite a few open source packages / "AI" are able to do a very decent job at detecting / extracting objects from images with high accuracy. So the real core value of this start up is simply your heuristic "rules", which I'm downplaying their value, but I just think you need to be more transparent on what exactly the core competitive advantage is of your startup, rather than wrapping everything into a fancy term: "AI". It's particularly important to communicate this when you pitch your startup here on youtube, where majority of the folks might not know how ML / AI actually works, and they need to know what they are actually investing in.

    Anyways, personally, just based on its current business model, I think the odds of big success is low. But I really wish you all the best, and I hope you can prove all the doubters wrong!

  16. Avataaar/Circle Created with python_avatars Tim Waltman says:

    Can you describe the differences in technology between HouseHack app and how it may compete with what Zillow and VRBO are trying to do, currently, in their current target social media ads?

  17. Avataaar/Circle Created with python_avatars n says:

    Is this only for USA citizen?

  18. Avataaar/Circle Created with python_avatars cowboybebot says:

    leaving youtube lol

  19. Avataaar/Circle Created with python_avatars Joe Martinez says:

    Wedge deals are ineffective with rising interest rates. Wedge deals only work when interest rates are artificially low. You buy a house when interest rates are at 7% and try to sell when interest rates have risen to 8%. The value of the home has decreased because housing is based on supply and demand. Fewer buyers can afford a higher interest rate. Therefore, bidding prices of new homes begins to decrease over time. Over the next several years, interest are going to drastically increase to early 1980s levels. Housing prices are going to be in free fall.

  20. Avataaar/Circle Created with python_avatars Option Trader says:

    Thanks so much for the detailed explanation! Just one detail: You did the labeling of the binary target variable (wedge yes/no) but not the training. Like Elon had all the folks labeling car situations that he recently let go. The ML engineer and/or the model itself does the training.

  21. Avataaar/Circle Created with python_avatars DYLTHEVYL says:

    Hey Kev, how many deals can 1 man analyze? How are you going to scale that?

  22. Avataaar/Circle Created with python_avatars C Martinez says:

    You mean Alibaba intelligence

  23. Avataaar/Circle Created with python_avatars M arrizon says:

    Why dont you pitch it in shark tank?

  24. Avataaar/Circle Created with python_avatars Bruce Willis says:

    I'm happy for Kevin and maybe the thought is, someone else is going to do this anyway so why not it be me? So exhausting for people who actually want to buy their first home, do you think investors buying up all the homes will benefit society in the long run? Do we need more homeless people and tiny homes?

  25. Avataaar/Circle Created with python_avatars Jordan says:

    Kevin is one of the biggest narcissists I’ve seen

  26. Avataaar/Circle Created with python_avatars Empyreal81 says:

    Image recognition to label a binary outcome of "Wedge Deal or not" is completely misguided and bound to fail.

    Why are you even converting it to a multiple choice? You are probably scaling probabilities as [0, 0.2, 0.4, 0.6, 0.8, 1] and trying to train CV to predict that outcome.

    Your train set is not verifiably proven so you have no guarantee of being right due to your biased labelling making evaluation pointless.

  27. Avataaar/Circle Created with python_avatars Meet Kevin says:

    IBM definition of computer vision as AI:

    AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand.

    Computer vision works much the same as human vision, except humans have a head start. Human sight has the advantage of lifetimes of context to train how to tell objects apart, how far away they are, whether they are moving and whether there is something wrong in an image.

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