Decentralized and
Privacy-Preserving
Personalization
Personalization is a powerful tool of persuasion. By decentralizing and making it interoperable, you can give your users the best web3.0 experience they’ll love / deserve.
Universal Interest Graph
ACCESSIBLE BY EVERYONE, ANYTIME AND IN FULL WITH PRIVACY
Layer
03
Plug and Play Curated Feeds:
Choose from decentralized recommendation engines Firstbatch has built for the middlewares, curate your feeds in minutes.
Layer
02
Indexing, data-to-vec
FirstBatch indexes data and transforms it into queryable interest vectors with AI.
Persona-to-Vec
FirstBatch Persona vectors analyzing users off-chain data while preserving privacy with zK-Identities.
Layer
01
Decentralized Similarity Search:
Danny (Decentralized Approximate Nearest Neighbour Yummy!) is a decentralized similarity search engine deployed on Arweave operating fully on contract-level.
personalization directly influences
the likelihood of
purchase
REpurchase
REcommendation
and driveS
ENGAGEMENT
LOYALTY
curated feeds empowered
by interoperable data
PLUG AND PLAY
DECENTRALIZED FEEDS
And more (many more) are coming soon!
Mirror
Bleacher report
Deso
Farcaster
Wired
Users connecting with FirstBatch can curate their experiences on Multi-chain social platforms, Marketplaces and more.
Enhance your user experience by plugging any recommendation engine to your application.
dapps can ıntegrate firstbatch with client-side code. blockchain data of your Dapp collected, labeled and uploaded to UIG.
Use client-side code to curate your content for your users by querying the graph.
is your company data
private? do this:
Off-chain Data to Decentralized Recommendation Engine
INFERENCE APIs OR
SELF LABELING
how We Preserve
Privacy with ZK?
Decentralized
Identity
zkAUTH
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Decentralized
Personalization
Interest Vectors
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