Project
Will It Flow
A rental-analysis web app I built and run — live rates and rent data so investors can evaluate a deal in one place, plus market pages that bring in organic traffic.
→ Live product · paying users
Starting point
Investors were stitching rates, rents, and scenarios across spreadsheets before making an offer.
What I built
A web app with live data, cash-flow tools, and market pages that update themselves.
What changed
Live product with paying users and organic traffic from those market pages.
The person who scoped this is the person who built it. Same person on the handoff — that's the trade you make hiring one consultant instead of an agency.
Starting point
Where things stood
Evaluating a rental property's cash-flow potential requires pulling data from at least four sources — Freddie Mac mortgage rates, comparable rent prices, local market data, and HUD fair-market rents — then running projections across 5 to 30 years with multiple financing scenarios (conventional, BRRRR, house hack). Investors were doing this in spreadsheets, one property at a time.
Approach
The path we chose
Will It Flow is a full-stack rental analysis SaaS I built and operate. It solves a specific problem for real estate investors: knowing whether a rental property will cash-flow before putting in an offer.
Build
How I built it
- Built a real-time finance engine so every input recomputes cash flow, cap rate, DSCR, cash-on-cash, BRRRR outcomes, and multi-year projections with no separate calculate step.
- Wired live external data — Freddie Mac mortgage rates, HUD fair-market rents, on-demand listing comps, and Redfin market activity.
- Stood up accounts on Supabase with row-level security and billing on Stripe (free tier vs. Pro).
- Drove discovery with programmatic SEO — market pages at national, state, and metro level fed by a daily data pipeline, plus long-form articles and calculator landings.
The honest part
What made it tricky
The parts that didn't go to plan — and how I worked around them.
- Balancing speed and depth — first-timers need a verdict in under a minute while power users expect BRRRR, multi-year IRR, and stress tests.
- Making the data trustworthy meant pairing a deterministic finance engine with live external feeds and honest paywalls where server work is expensive.
- A great app nobody finds isn't a business, so marketing pages, auth flows, SEO, and analytics mattered as much as the calculator.
- A React Native / Expo client shares concepts with the web app but still duplicates calculation logic — publishing is open work.
After launch
What changed
- Live production product with verified signups, Stripe subscriptions, and Supabase-backed saved deals.
- Investors go from a raw listing to cash flow, DSCR, BRRRR, and a multi-year outlook in one session.
- Most new users arrive through organic content rather than paid ads.
- Native apps are built but not yet released — web carries usage and revenue today.
Capabilities
What it does
Stack
Tools used
Services
Related services
This project is an example of these lanes — most real work touches more than one.
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