It's very interesting but I'd recommend (no pun intended) to have few use cases described on the landing page. I couldn't understand if an integration could make sense in my product or not. What kind of recommendations? You mention few times "interesting items": what? an article, an amazon product, an app? Where do you get the data for those recommendations? From my dataset, from yours (and how do you link to my users), from Facebook (and I assume I need a FB login in my app)? Likely you have some of these questions answered somewhere but I spent few minutes on the site (more than standard attention span :) and couldn't find. Thanks and good luck - looks promising!!!
@sivola Hey Paolo, thank you for this, that's some great feedback.!
We'll definitely work to improve the message on our landing page.
Using personable.io you can provide the users of your product with personalised recommendations, where the data derived from your dataset. So in your case (Companyons looks awesome!) you could recommend your users with ToDos based on their own behaviour in the app.
Hope that makes it a bit clearer ;-)
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@liordegani Looks like the site is down now. Are you all still in this space or might you have any other providers you can recommend?
Cool new product that enables you to recommend items tailored to each end-user of your product based on their interests, past orders, history and more. Looks great @liordegani!
Hi guys, excited to see personable.io on PH.
We developed personable.io because we wanted to make personalization more accessible and affordable.
With just a few lines of code, you can start delivering personalized recommendations to each of your users based on their usage history and taste.
We'd love to hear your thoughts and feedback. feel free to ask us anything!
Ohad
Hi PH friends, Personable.io's CTO here.
Adding to what @ohadfrankfurt said, I'd be happy to share any technical details and answer questions about our stack, implementation, algorithms - or anything else, really.
Kyber
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