Building the next generation search engine for the social web
Open for applications
Building the next generation search engine for the social web
1-20 employees
Open for applications
1-20 employees
To enable people to trust each other at scale.
Desirable
PageRank is the algorithm used by Google to determine which pages return the most relevant, important, and high quality results for a given search. Borg Collective is looking to develop something similar, but for people: an algorithm that ranks social media profiles so users know who to trust online.
We can see the progress Borg Collective has made already with Hive, an online tool that users can use to identify Twitter communities using a keyword, and see who among the key profiles involved holds the greatest attention and sway. Hive’s touted as a demo of what’s in the Borg Collective pipeline.
Whilst using algorithms to identify clusters of online communities is nothing new in the research community, it’s a tool that hasn’t really been commercially released. Not only would it serve as a buzzy tonic for the current hot-button topic of the credibility issue on social media, it would also work neatly alongside recent marketing tech efforts to help link up brands with the most valuable online influencers. So it will certainly be interesting to see what's in store for Borg Collective and Hive next.
Steph
Company Specialist at Welcome to the Jungle
Few candidates hear
back within 2 weeks
17% female employees
Aug 2022
$2.7m
CONVERTIBLE
Dec 2021
$1.3m
CONVERTIBLE
Mitte, Berlin, Germany
Maciek Laskus
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