TitanFlow

I co-founded and built a mobile-first options flow platform for retail traders. Native iOS, real-time backend, zero paid acquisition. Acquired in 2023.

Role
Co-founder, Product & Technology
Timeline
September 2020 – December 2023
Outcome
Acquired at ~10x revenue
90 days
Idea to App Store
~5K
Peak DAUs
2,000+
Daily actives
~10x
Acquisition multiple
Context

Retail traders needed institutional data. Nothing existed on mobile.

During the 2020–2021 retail trading boom, the tools traders needed — real-time options flow showing what institutional money was doing — were expensive, desktop-only, and built for professionals. Retail traders were making decisions on the go, from their phones, during market hours.

Nobody owned mobile options flow.

Thesis

Help traders understand what's happening. Don't tell them what to buy.

The winning product would compress institutional-grade options activity into a mobile workflow fast enough to use during market hours. Data had to be real-time, the UI had to reduce decision time to seconds, and alerts had to turn passive monitoring into active workflows.

I built exclusively for iOS when everyone said go web. The web space was crowded. Mobile was unowned territory. TitanFlow didn't compete — it became the category.

Product

A real-time options flow platform, native on iOS

TitanFlow shipped as a native iOS app with a backend built around real-time market data ingestion, options flow processing, and subscription management.

TitanFlow flow feed

The core experience: a real-time, filterable options flow feed

The primary surface was a live feed updating in real-time. Every entry showed ticker, expiration, strike, premium size, volume, call/put, sweep/block classification, and unusual activity flags. Users could filter by aggression level, expiration type, and contract characteristics.

The goal was straightforward: open the app and within seconds understand what institutional money was doing.

Flow data Trending contracts

Trending contracts turned raw flow into a discovery layer — surfacing contracts with concentrated activity so traders didn't have to scan every order. The daily snapshot gave a quick market-wide read before open. Alerts were the retention loop — users set conditions and got push notifications while away.

Home Flow details Dark pool Snapshot

Dark pool prints — large institutional orders executed off-exchange — were one of the most requested features. We built a dedicated service to ingest, process, and surface them alongside regular flow.

Alerts Dark pool
Build

End-to-end. Frontend, backend, data pipeline.

I wrote approximately 80% of the iOS frontend in Swift, solo, without AI-assisted tools. First version live on the App Store in under 90 days. Everything built in-house — no third-party services for core functionality.

Native iOS Swift, custom real-time data rendering, subscription management
Core API Authenticated endpoints for flow, search, filtering, user management
Data Ingestion Real-time market data pipeline from Benzinga and other sources
Alert Engine Condition-based push notification system with per-user targeting
Dark Pool Service Off-exchange institutional order processing and surfacing
Subscription Service Tiered pricing, entitlement gating, Apple IAP integration
Distribution

Zero paid acquisition. Community was the channel.

The retail trading community lived on Discord and Reddit. Credibility in those spaces drove organic, high-intent growth. We seeded the beta through trading servers and subreddits. The positioning — democratizing institutional data for regular people — resonated.

I brokered partnerships with five trading groups and fintech-adjacent tools for cross-promotion and revenue sharing. Beta launched with over 1,000 signups by the next morning. First week after App Store launch: 50 paying customers.

Discord community

Community-driven growth through Discord and Reddit trading groups

Monetization

Pricing tied to trader sophistication

The more actively someone traded, the more valuable real-time alerts, trend detection, and dark pool data became. Pricing mapped directly to that.

Free
$0
Daily snapshot
Recent flow
Basic metrics
Basic
$29.99
Real-time flow
Advanced search
Historical search
Premium
$49.99
Trending flow
Alerts + dark pool
Full history
Outcome

Acquired in 2023

A private mid-sized trading firm approached us. They wanted the visualization libraries and UI — the way the data was designed and displayed. Rather than build their own, they bought ours. Acquired at approximately 10x monthly revenue.

Android users switched to iPhone to use TitanFlow. That doesn't come from a feature set. It comes from people feeling like a product was built for them.

Capabilities

What this demonstrates

Product Leadership

Full lifecycle ownership — discovery, definition, engineering, GTM, partnerships, growth. Team of 12.

Technical Depth

~80% of the iOS frontend in Swift. Designed the distributed backend. Wired the real-time data pipeline end-to-end.

Strategic Judgment

Identified a platform-market fit shift. Committed to iOS-only when consensus said web. Turned that constraint into a moat.

Execution Speed

First commit to App Store in 90 days. Launch to acquisition in three years. No playbook. No prior product to inherit.