Our Why
There is no free society without a free flow of information. Borg’s Mission is to ensure that there are no haves and have not’s when it comes to information.



We envision a world where no single-point of failure institutions dictate what’s trustworthy and what’s not. Instead, the quality of information is assessed bottom-up in a collective emergent process.
This is how it used to be when we still lived in villages. We think that for the first time, it’s possible to create technology to help us return to this natural state while preserving and enhancing the benefits of the modern, globalized society.

Our Technology
People are like websites in that they interconnected. These connections can be modeled mathematically like Google did with websites. A social graph is a mathematical representation of these connections.
- We spent half a decade on R&D on a class of algorithms known as community detection
- As the name implies, these algorithms find communities in a social graph
- We have developed an unsupervised community detection model, which can find communities in a social graph without needing a human to provide labels and the community mappings are so accurate that insiders from those communities find them useful.

You do not have to take our word for it
you can go to hive.one, find a community you know and check how accurate the mapping is.
Benefits of the technology
01
We have a deeper understanding of Twitter’s social graph than Twitter does despite having access to less data
02
We can stitch multiple social graphs together
A community is not confined to a single social media platform. A community is a collection of relationships between people and these can form on multiple platforms and beyond. Social graphs exist not only on social media platforms, but also in podcasts, academic papers, meetups etc.
Interoperability & Decentralized Social Media
Breaking down barriers
When we started working on this project half a decade ago no one believed that social media can be decentralized. We had hard time raising money and the most common reason we heard from investors was “Google could index the Web because it was open, the social media platforms won’t let you index them”.
Changing times
The market has finally come around to our view. Today hardly a day goes by without a new social media platform or a new decentralized social media protocol being announced.
The reputation layer of the internet
Borg will act as bridge between existing centralized platforms, the new decentralized ones and the social graphs outside of social media.
Centralised Platforms
Twitter, Github, Reddit, etc.
Borg accesses the data via API
Decentralised protocols
Nostr, Farcaster, ATProtocol, etc
Borg runs a node (aka relay/hub) for each protocol
Non-social media graphs
Podcasts, meetups/conference, research papers, etc
Borg indexes the data publicly available on the web
The SEO Flywheel
Google benefited from the SEO flywheel: the more people use Google → the more incentive for websites to optimize to be easier to index them → the better the search engine works → more people use it. We expect a similar effect to the place between Borg and social media platforms.











We index the social graph just like Google indexed the Web
Instead of building one product ourselves, we are opening access to the index so that it can be used by thousands of products
The index
We started by indexing Twitter, gradually expanding to other social graphs
Centralized platforms | Decentralized protocols | Non-social media graphs | |
---|---|---|---|
Currently | |||
Next 6 months | GitHub HackerNews | Nostr, Farcaster | Podcasts |
More than 6 months | ProductHunt Discord Stackoverflow Discord Substack StackerNews | ATProtocol NFTs | Research papers Meetups/conferences Blog posts News articles Books |