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We have developed a POS for salons and spa and have been working with various in-store payment solutions - including Square. None of the existing solutions meet our needs.

I have applied for an invite - can't wait to get access.


(I work at Stripe)

Excited to review your application! We have a lot of users building point of sale applications for booking and scheduling -- including AtVenu, Mindbody, Universe, Zenoti.


How likely are startups who are still building out a platform get approved for beta access? And should startups add that info in the beta request form?


(I work at Stripe)

Yep, please tell us as much possible in the form. The Beta is open to all business in the US.


Have you tried Clarity.fm?


We are bootstrapped startup growing slowly but steadily. Our platform is very effective in growing revenue for salons and spa using data we collect. We recently crossed 100 active accounts that includes some key clients. Looking for ideas to help us accelerate growth!


Shameless plug: http://aiphotosearch.com


Just donated! We have an app in production using Rethinkdb. This needs to live on!


- We use a complex multivariate model to predict customer conversion and prioritize lead response - We use text analysis to improve content for effectiveness and conversion Among other things


Can you please explain complex multivariate model in detail? I am curious to learn about it


Type Introduction/Tutorial Multivariate Statistics into Google. I saw quite a few with those words in title. Probably what you want.


Glad that you liked it! Also, found and fixed the bug causing problems with repeat searches.


Lets say you are looking for a stock photo of a dog to use in your landing page like this one: http://www.shutterstock.com/pic-110687501/stock-photo-dog-ab...

Google Image Search API does not let you search multiple Stock Photo providers for photos. We are using APIs from multiple vendors to fetch the stock photos.

Secondly, our AI is geared towards stock photos. You can start searching for "dog" in aiphotosearch.com, then like a couple of photos that are closest to the one you are looking for and then refine results. We train a model that "understands" what you liked vs discarded and uses that to bring more results.


1. Fixed the title 2. Initial result is regular image search, you get results based on your keywords. From then onwards, you can like the photos you somewhat like and click Refine Results. The AI algorithm analyzes the photos you have liked vs. the others and brings results based on that. You are basically training your model on the fly. 3. Good observation on too many fonts, will work on it


tldr; I solved a problem that I had. Would love to get HN community's feedback.

Appreciate your feedback. I have not launched the app yet, it is in private beta. This is a hackers community. I am looking for fellow hackers willing to go through the e-mail wall to try what I have built and provide feedback.

There are lots of stock photo searches. But this one uses AI. So what? I have been buying stock photos a lot these past year. Every time, I have spent a lot of time (and the time value of money) finding the photo that I like. If you value your time at $100 per hour, the real cost of the stock photo that took you 30 minutes to find is the stock photo cost + $50.


When you ask people to test it, you could take the email wall down when requests are made with a query-string var added to the link you post.

Sure, some kind souls will sign up to give you the feedback, but I think you will get more feedback with lower friction to enter your site.


As far as the cost being $50 in time. You haven't answered the question as to why AI is the answer.


Good point! I am planning to add this description to the site as well.

There are two problems in stock photo search. First, there are multiple marketplaces with different inventory and price structures. So if you are looking for stock photos that are not very common, you need to go to multiple marketplaces, search and comb through the results. We solve this by using APIs from those marketplaces to bring results for your search so you do not need to go and repeat your search at multiple marketplaces.

This leads us to the second problem. You now have a lot of photos to comb through. This is where the AI comes in. You "like" few of the photos in the search result that are close to what you are looking for and the AI learns your preferences to bring the results that are similar to the ones you have liked.


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