Subsets vs Biconomy
Side-by-side comparison of AI visibility scores, market position, and capabilities
Copenhagen YC S23 AI retention automation for subscription media serving NY Times Athletic and Børsen; $1.65M Upfin pre-seed Feb 2024 with explainable AI experiments competing with Chargebee for churn reduction in digital publishing and streaming.
About
Subsets is a Copenhagen, Denmark-based AI retention automation company — backed by Y Combinator (S23) with $1.65 million in pre-seed funding in February 2024 led by Upfin with participation from YC, Cuesta Labs, Sandhill Markets, and Phillip Chambers — providing subscription media companies, digital publishers, and streaming platforms with an AI-driven churn reduction platform that automatically designs, deploys, and evaluates retention experiments to identify which personalized interventions reduce subscriber cancellations at scale. Founded in 2023 by Oliver Brandt, Martin Johnsen, and Nikolai Skelbo, Subsets operates with a 7-person team and serves notable subscription media customers including The Athletic (The New York Times subsidiary), and Børsen (Danish financial newspaper).
Web3 authentication and account abstraction infrastructure enabling gasless transactions and simplified dApp onboarding; ERC-4337 implementation allows dApps to sponsor gas fees on behalf of users and accept ERC-20 token gas payment for mainstream-accessible wallet experiences.
About
Biconomy is a Web3 infrastructure platform focused on making decentralized applications usable by mainstream audiences who are not familiar with cryptocurrency gas mechanics. Its core product implements account abstraction via ERC-4337, allowing dApp developers to sponsor gas fees on behalf of users, accept gas payment in ERC-20 tokens instead of native currency, and batch multiple on-chain transactions into a single user action. These capabilities transform the user experience from one requiring native token balances and technical awareness into something closer to a conventional web application workflow.
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