Fintech platform for 150K+ investors.
Inside Ticker needed a consumer-grade fintech platform that delivers institutional-level market intelligence — real-time data, AI-surfaced insights, and an interface that a first-time investor could read as fluently as a Bloomberg terminal user.
Democratizing financial intelligence.
- Client
- Inside Ticker
- Industry
- Fintech
- Role
- Design, Development, AI
- Timeline
- 16 weeks
- Year
- 2025
Make market data feel human.
Retail investors are drowning in raw data. Tickers, earnings, filings, news — it all exists, but none of it arrives packaged for someone making a Tuesday-night decision on a couch.
Inside Ticker came to us with a thesis: the right combination of real-time market data and LLM-grounded analysis could compress hours of research into minutes. The hard part was shipping that without the product feeling like a Bloomberg terminal.
We owned the full build — product design, frontend platform, backend APIs, AI-integration layer, and the data pipelines that keep the whole thing live during market hours.
Full-Stack Platform
Next.js 15 frontend with streaming-first data layer, WebSocket-driven market feeds, and server-rendered SEO-friendly pages.
AI Integration
RAG-grounded insights with model routing, prompt caching, and citation-back-to-source. No hallucinated ticker recommendations.
UI/UX Design
Pro-trader information density, warm consumer polish. Dense dashboards that stay readable on a phone.
Real-Time Data
Low-latency price, earnings, and news feeds flowing through a managed WebSocket pipeline without page reloads.
Search & Discovery
Semantic search across tickers, filings, and analyst coverage — backed by a vector DB and BM25 hybrid retrieval.
Responsive by Default
Mobile-first design with identical feature parity across web, iOS Safari, and Android Chrome.
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Real-time + AI, wired end to end.
We built Inside Ticker as a modern web platform on Next.js with a streaming-first data layer. Market prices, earnings, and news feeds flow through a WebSocket pipeline and land in a React front end without a page reload — the dashboard breathes with the market.
The AI layer is RAG-grounded in curated financial data, not open-web scrape. Every insight cites its source, and model selection is routed: fast cheap models for quick takes, deeper reasoning models for the Saturday-morning research flow.
Design-wise we borrowed from pro platforms (dense, information-rich, keyboard-navigable) but re-skinned in a warm palette that doesn't scream finance. The goal was a product your friend who doesn't code could use at 9:30 AM ET on Monday.
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150K+ monthly users and climbing.
Inside Ticker shipped on schedule and has grown to 150,000+ monthly active users across mobile and web. Median session length is measured in the tens of minutes — a metric most financial news sites would quietly love to have.
The AI surface continues to expand. We stay on as the engineering partner for new features, model upgrades, and scale work as the platform pushes toward its next usage tier.