Crypto Analytics Platform
- Role
- Full-Stack Developer, lead frontend
- Period
- 2024 - 2025
A real-time analytics surface for fast-moving tokens, built around live market signals, sentiment overlays, watchlists, and chart workflows that help traders react before momentum stalls.
Synchronized chart layers
Price, hype, burn, supply and market cap, drawn on one custom engine.
Real money at risk
A full trading and analytics loop on a demo wallet, not a brokerage.
Surfaces, one codebase
The same charts and indicators ship to web and the Telegram mini-app.
A spike in social hype, a move on the chart.
What I built
Frontend-focused fullstack: the trading UI and how it reads on a phone, the custom charting layer, and the data flows behind token analytics.
Reading a fast-moving token means watching price, social chatter, supply and burns at once. The product needed one surface where all of that lived together, updated live, and stayed fast on a phone inside Telegram.
- 01Custom charts on a fast baseOff-the-shelf charting libraries wouldn't draw price, hype temperature, burn rate and supply together. Built a custom layer on TradingView Lightweight Charts to keep all of them on one synchronized view, so the link between social hype and token burns reads at a glance.
- 02A realtime layer that stays calm under loadCandles, ladder and sentiment flow into MobX stores with optimistic updates and Redis-backed reads, so the dashboard stays smooth even with frequent updates.
- 03Social hype, turned into mechanicsA background worker turns Twitter/X trend signals into a hype score, a temperature and a token ranking, decoupled from the UI cadence so the interface never waits on it.
- 04One engine, two surfacesThe same chart engine and indicators ship to the web dashboard and the Telegram mini-app, with no forked chart code to keep in sync.
- The custom chart engine became the production charting foundation and stayed in use after launch.
- A token reads the same on web and inside Telegram.
The custom charting layer
Five layers, one synchronized chart
How social hype moves a token
From a trending topic to a token's rank
A background worker reads Twitter/X trends and turns them into a hype score, a temperature and, in the end, a token's rank — then feeds the result back in, so attention compounds. It runs decoupled from the UI, so the dashboard stays smooth.
Tech stack