RefiRadar is a web app that monitors commercial real estate loans and flags the optimal refinancing window. It models rates and DSCR daily and sends early 6–18 month alerts with estimated savings, break‑even, and lender introductions for U.S. CRE owners/investors.
MRR (USD)
TRAILING 30D REVENUE
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LIFETIME REVENUE
TARGET CUSTOMER
U.S. commercial real estate owners and investors; also engaging CRE operators and lenders for distribution/relationships.
TIMELINE
- MVP built fast — → August 12, 2025
Recorded first walkthrough; MVP built in 7 days using Cursor, Next.js, Supabase, Tailwind, Vercel.
- Core engine refactor — → August 27, 2025
Refactored RefiRadar’s core engine with NPV calculations using Claude 4.1 Opus Max.
- Sales channel via CRE authority — → August 25, 2025
Shifted outreach to CRE‑authority co‑founder after founder’s cold outreach underperformed; responses came day 1 via partner.
TECH STACK
Next.js + Supabase + TailwindCSS on Vercel; built and refactored with Cursor and Claude (NPV calcs) supporting the core engine.
LATEST USERS
USERS CHANGE
FINANCIALS
- expense — $82.84 USD · as of August 27, 2025 Cost: $82.84
TRACTION
- customers — 0 count · as of August 22, 2025 My MVP works perfectly. Only missing piece? Users. Want to be the first one? It's free for now
FOUNDERS
Runs a Webflow agency that funds his AI/SaaS experiments; building RefiRadar in public and teamed up with a Florida-based real estate partner driving sales and marketing.
PRODUCT–FOUNDER FIT
Founder funds product development via his Webflow agency and builds in public, leveraging a co‑founder with deep CRE authority for go‑to‑market. Heavy use of AI tooling (Cursor, Claude) aligns with fast MVP cycles and continuous model/NPV improvements.