Likehack - productivity app for news

Personal content curation service

finds 10% of worth reading

They get 284 content pieces in a day

+ >150 bla-bla posts, checkins and photos

They actually read no more then 10

They can only eat dirt or refuse it

It is full day a week problem

Insights from our data about 3M accounts

They spend 2 hours a day to find those 10

Likehack solves it

Imagine a filter that selects only the best for you

From your own information flow

Likehack is a filter and search engine for your own web

Our goal is to save half day a week for you

Delivering as many top links as you want

Making your top link history searchable

User connects his social feeds

How it works?

Likehack aggregates all content

Analyze all history of likes and shares

Curates and highlights what really matters

Bonus: full-text search for all content, including all likes and shares

Delivers with web app, extension, e-mail, mobile app (soon).

Target audience – active social users

Who need content for business or education

Who care about time

And use social networks to get news

100M people who hate TMI

Problem costs up to 235 billion $ If 100M people have 50K$/year and we save 2 hours a week

And we know that people are ready to pay (tested)

We don’t add more info. We filter existing flow.

We rate filtered links with user’s personal content curators (who like

the same links from same sites)

Beta design

Team

Lean approach. Mission driven.

Productivity app for social feeds

Ping us at [email protected]