Artem Magomaev

Resolv

A crypto-fintech building a financial layer for stable returns.

Given the product's novel positioning, rebuilt the landing as a founder's narrative letter — the format that best conveys a complex delta-neutral strategy to a retail audience — +40% conversion to deposits

Analytics showed many new users were skipping the landing entirely, arriving in the app straight from social posts where authors linked the app, not the site. Redesigned the app so it carries all the context the landing used to provide, removing friction for first-time users — +30% conversion to deposits

Transformed a basic dashboard into a full fintech toolkit — swap, rewards, detailed analytics

Drove A/B tests and conversion experiments across the deposit funnel — data-driven iteration on both landing and app informed every major redesign

Launched a bold brand identity with Renaissance motifs — retail crypto responds better to audacious visuals

TVL: $10M → $530M at peak; product repositioned from a stablecoin into a consumer financial platform

Integrity

Next-gen AI workspace for thinking and knowledge work — Notion + Miro + AI agents.

Migrated the architecture from a blocks system to outliner-first, unlocking native views (tables, kanban, mind maps) as representations of a single data structure

Designed "sessions" — a navigation layer where users compose task context on top of the file hierarchy

Designed an AI-native workflow with multi-agent orchestration where agents share context across all open windows via split screens; led prompt engineering and LLM evaluation loops to keep output quality consistent

Introduced HTML artifacts on canvas — users generate interactive mini-apps directly in the workspace

Shifted design source-of-truth from Figma to the component catalog in the repo; I ship design PRs directly

#1 Product of the Day on Product Hunt at launch

Veraxity

Decentralized information verification platform built on a mathematical model of argument weights.

The core challenge was product itself: founders had a clear vision of an abstract mathematical system, but zero ideas on how to package it into a product — what it should look like, how users should interact with it, what shape it should take. With no direct competitors and a genuinely new category, the heaviest work was inventing the product from scratch

Partnered directly with founders to absorb the math and technical model, then translated it into a product concept ordinary users and the market could grasp

Positioned the product as a hybrid of Twitter, Medium, and Wikipedia — an event feed where each event carries multiple versions ranked by credibility, leaning on social-feed mechanics over a dry editorial format

Designed argument-tree mechanics so users can drill into any claim and see supporting and opposing arguments, plus an authoring flow that nudges contributors to write in a way the weighting algorithm can actually process