This kind existed for a while in the USA. Current admin turned off the data stream: https://www.consumerfinance.gov/owning-a-home/explore-rates/

I'd say the exact rate as displayed might not matter as such. It's more a discovery tool for folks to find a competitive CU that they're eligible for. If the CU looks good for one type of rate, it's probably worth exploring for others.

Real talk, it's so hard to find TOTP 2FA in banking.

Yeah, it's partially automated. It doesn't use firecrawler or any other services (other than Render for hosting).

That's actually where I started! Majority (but not all) of the institutions present on the dashboard are from the CUMA :) I don't technically crawl that portal, but their robots.txt certainly seems to encourage it. Great resource.

Definitely. Unlikely that anyone starting here will get exactly the estimated monthly payment, especially as it takes time to lock in a rate and rates can change daily. What it does do is only use APRs to give as much of an apples-to-apples comparison as can be had. Click any entry in the table to go through to the CU's site, which usually has some means of getting a more accurate rate and/or quote.

Right. It’s not a problem with the tool per se, just sort of a grey-area as far as transparency of rates for the lenders.

Those are just some medians I either Googled or LLM'd to act as defaults. You can click that sentence and change all those values to estimate.

Love a public rates page. Added to my list for tomorrow.

This was the first one I looked for as well, NFCU is (per Wikipedia) the largest CU in terms of size and membership in the US - but wasn't included. I think you should add a "how I chose these Credit Unions" on your overview, as missing NFCU immediately made me wonder what others were missed; RBFCU - largest in TX and 10th largest in US - is missing as well. So I'm left to wonder how 2 of the largest CUs in the country were just... missed.

Thanks, and thanks for the heads up! Feel free to shoot me a screenshot/more browser details if you don't mind: blog@finfam.app

The data table is based on https://svelte-headless-table.bryanmylee.com/

It's more manual than you might think! Sent a message to the email in your profile with more details :)

Could you share publicly? Or it’s secret?