aldamiz

8 ms·

1. 31.▲
   by aldamiz 8y ago

   "The best way to check for a two-way mirror is by using your fingertip. On most mirrors, if you place your fingertip on the mirror, the reflection of it will not touch. Instead, it will leave a quarter inch gap or so" Went to chec
2. 32.▲
   by aldamiz 8y ago

   Worked for me as well, iPhone X. Very cool!
3. 33.▲
   by aldamiz 8y ago

   walk
4. 34.▲
   by aldamiz 9y ago

   Thanks. I've been looking at the guidelines, but I cant find any reference to this issue: https://developer.apple.com/app-store/review/guidelines/ https://developer.apple.com/library&#x2
5. 35.▲
   Ask HN: Are there any apps which are “Paid” in one country, “free” in another?

   2 points by aldamiz 9y ago|2 comments
6. 36.▲
   by aldamiz 9y ago

   I'm a man:) Sorry I don't know about fashion apps for men. I feel teams are building the infrastructure focusing on the big opportunity (women's fashion). Then, expanding to other categories will be way easier.
7. 37.▲
   by aldamiz 9y ago

   Yep. The main idea of the app is to help people decide how to wear their existing clothes. Many people feel they have nothing to wear when their wardrobe is full - truth is, sometimes the decision of combining some clothes is not an easy on
8. 38.▲
   by aldamiz 9y ago

   About clothing apps, here are some ideas. There are teams focusing on the social aspect and grow via influencers. I’d think about utilities (help me do something): - Help me decide what to wear: Chicisimo, Pinterest and (believe me) Google
9. 39.▲
   Growing from 0 to 4M users on our fashion app with vertical machine learning(medium.com)

   306 points by aldamiz 9y ago|71 comments
10. 40.▲
    I have a re-read tag in Pinboard. Product essays that help me think-Suggestions?(pinboard.in)

    1 points by aldamiz 9y ago|0 comments
11. 41.▲
    by aldamiz 9y ago

    i simply dont understand the motivation behind starting selling these Flamethrowers
12. 42.▲
    by aldamiz 9y ago

    "enhancing motivational factors that help users through their journey and adding some fun" agree with that! One of most surprising apps in this space is Zenly, imo. They turned the find-a-friend boring concept into an amazing expe
13. 43.▲
    by aldamiz 9y ago

    Thanks for the heads up, dang. Truth is: for the first time ever, we've decided to talk about our machine learning approach and how we've managed to build our project, and we've thought many of the lessons learnt have value f
14. 44.▲
    by aldamiz 9y ago

    thanks abarrera :)
15. 45.▲
    by aldamiz 9y ago

    thanks quarizmi! Lets see how recommender systems evolve in this space. The tech and implementation will need to be very different to traditional recommenders, and access to data will be a huge barrier imho. We'll see:)
16. 46.▲
    by aldamiz 9y ago

    Thanks for the comment soci. There is a lot of actions that express taste - sharing your own tagged outfits, searching for something, creating a specific album, and many more. And actually, each expression of taste has its own value. As we
17. 47.▲
    by aldamiz 9y ago

    Thanks for the question furilo. We run behavioral cohorts. We do cohorts over everything, every action people do, every screen they visit, every piece of value they receive. We also know when those actions take place (first 5 minutes, first
18. 48.▲
    by aldamiz 9y ago

    Thanks gimenete! We actually do things as simple as possible. But complexity is increasing:)
19. 49.▲
    by aldamiz 9y ago

    thanks pab_rey!
20. 50.▲
    by aldamiz 9y ago

    Thanks for the question. The question we figured out we need to answer is: what type of outfit ideas are people looking for, and how do they describe their needs? And then, how can we match those needs with relevant content. So what we did
21. 51.▲
    How we grew from 0 to 4M women on our app, with vertical machine learning(medium.com)

    34 points by aldamiz 9y ago|20 comments