Project 01
Most stock apps tell you what happened to a price. Very few tell you why. When a stock drops 8% overnight, investors are left piecing together the cause themselves — scrolling through news feeds, exchange filings, and social chatter with no connective thread.
Pulse was built to close that gap. The core idea: synthesize exchange announcements, verified news, and financial data into a single probable explanation for any significant price move.
One of Pulse's most technically interesting features is delayed attribution. When an announcement surfaces days after a price shift that had no obvious cause, Pulse retroactively links them — giving investors clarity on moves that were previously just noise.
This required designing a UX that could surface historical connections without overwhelming the timeline. The pattern we landed on treats these retrospective links as a distinct event type, visually anchored to the original price event but clearly marked as newly surfaced.
With so many data streams feeding into one surface, the IA work was the hardest part. We needed to present breadth (market-wide signals) and depth (company-level profiles) without making either feel shallow.
Company profiles became the anchor point for deep analysis. Each profile features a one-month price chart visually correlated with the major news events that drove movement — letting investors see the story of a stock, not just its current number.
Beyond the core flows, the project required building a full component library tuned for dense financial data — data tables, sparklines, annotation overlays, and status chips that hold up at small sizes.
The brand direction leans into the name: a pulse metaphor rendered through sharp typography, a green accent system (#39ac73), and rhythmic motion cues in the data visualizations.
The integrated AI chatbot pulls real-time financial data on demand, handles targeted research queries, and answers complex investor questions — positioned as a senior analyst available 24/7, not a gimmick.
The app is currently in Play Store review. In parallel, I'm working on GTM strategy, early user onboarding, and collecting initial product feedback from a small beta cohort.
The first version is intentionally scoped: it establishes the core delayed-attribution loop and personalized feeds. Post-launch, the roadmap prioritizes deeper portfolio integrations, pre-market and post-market report generation, and expanding the chatbot's financial data coverage.
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