Mortgage Rate Comparison: Dashboard comparing mortgage rates across 120 credit unions.

What it does

Mortgage Rate Comparison is a dashboard that aggregates and displays current mortgage rates from over 140 credit unions. The tool shows rates for 30-year and 15-year fixed mortgages, along with adjustable-rate mortgages. Data updates daily and includes rate distributions, best available rates, median rates, and estimated monthly payments based on standard assumptions. The platform also tracks 90-day rate history for each lender.

Who it is for

The tool targets homebuyers and refinancing borrowers who want to compare mortgage options across credit unions rather than accepting rates from big banks. It appeals to those willing to shop around for potentially lower rates and to borrowers in areas where credit union membership is accessible.

Pricing

The site does not show prices.

How it stands out

Mortgage Rate Comparison focuses specifically on credit unions, which tend to offer lower rates than traditional banks because they are member-owned, non-profit lenders without large marketing budgets. The dashboard aggregates data from a large pool of institutions rather than requiring users to visit each credit union website individually. It provides rate distributions and historical tracking, giving borrowers context for comparing options. The platform explicitly states it has no institutional affiliations and receives no referral fees, positioning itself as neutral. The site also explains the economics of why rate differences exist—primarily marketing and overhead costs rather than product differences.

What a founder should check

Anyone building a rival should verify: First, whether credit union rates truly remain consistently lower than bank rates or whether this gap has narrowed, which would affect the core value proposition. Second, the switching costs and friction—how many borrowers actually use mortgage comparison tools versus relying on their existing bank or a single broker, and whether providing more information genuinely changes behavior. Third, whether the data collection process (checking 140+ credit union websites daily) scales sustainably and whether automating this remains feasible as rates update constantly, or if manual curation becomes a bottleneck that competitors could overcome with better technical infrastructure.

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