Humin app optimises your contacts

The wall of contacts finally made sensible
Humin app optimises your contacts

The much anticipated contacts app Humin is finally hitting the iOS store after many months of hype.

The app takes a step to add more context from social media, which is slowly tuning its algorithms to become more “holistic” and contextualises everything like your ads or your recommendations to suit your clicks.

Other apps, usually the ones that simply ship with the phone and designed in-house by the manufacturer, simply gives an alphabetical list with little other sorting done by the app. Perhaps a favourites list, though that's still designated by the user. Otherwise, little or no extra context is provided for the contact.

No more 'who is this again?'

Humin app optimises your contacts

In Humin, your contact list is organised based on the relationship you have with them. The app pulls it from information like when you saved the contact, how often and when you contact them, maybe even where you saved them. It can also supplant contact information from your email and social media accounts – even if they weren't explicitly saved in your address book, which is something already done in Motorola phones.

The open beta for the app rolled out in January and intentionally pulled a diverse group of testers: from Fortune 100 recipients to celebrities to high school students. The full list comprises of over 20,000 people from all over the globe. Humin CEO and co-founder Ankur Jain calls these early users “influencers” and hunted for the demographics specifically for their enormous and unwieldy contact lists.

Through their feedback, the app comes with some very fine-tuned search options. For example, “works at Google” or “met last weekend” significantly helps to make sense of the massive list of people in their contact list to find exactly who they are thinking of.

The most common feedback, according to Jain, is why this hasn't been done earlier. He explains the idea is intuitive and quite natural to think about, the reason it's taken this long is simply because technology's only recently evolved enough to solve this issue.

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[Source: Mashable]