CurbSold

CurbSold

A licensed dealer who comes to your driveway with a firm offer guaranteed to match or beat CarMax. Same-day check.

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About

CurbSold is a mobile car buying service in the San Fernando Valley and Ventura County. Instead of driving to CarMax or dealing with Marketplace lowballers, you call Joe. He drives to your home, runs your car through a professional valuation app backed by real auction data, and shows you a firm offer on the screen. If the number works, he writes you a check before he leaves. If it doesn't, he tells you what he'd recommend instead.

Joe has bought over 50,000 cars in 30+ years as a licensed dealer. Every offer is guaranteed to match or beat any CarMax offer. The whole visit takes about 20 minutes.

CurbSold also offers a free AI listing generator at curbsold.com/free-listings that creates professional ready-to-post ads for Facebook Marketplace, Craigslist, Cars.com, AutoTrader, and OfferUp in 30 seconds, plus a range of what a CarMax offer would look like.

LaunchedJun 1, 2026

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Joined Mar 20261 launch

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Retention
the price actually mostly like a higher price actually turned out to be the winner on the new revenue But when we actually modeled having that new price for a year long we saw that we would actually sacrifice in a long term mainly because the renewal rates just dropped

Model long-term LTV before shipping a higher-price winner

A higher price point won on ARPU-7D, but when Mojo modeled annual revenue using 7-day cancellation rate as a renewal proxy, it was a long-term loser. They rejected the winning variant and kept the original price to preserve renewal quality. Before shipping any price increase, project the renewal curve: short-term revenue gains can mask downstream churn that wipes out the lift within 6-12 months.

Product
if you've only you know grown via you know just sort of like organic traction and organic like magnetism and you've you've gone through like many sort of cycles of app or product iteration to sort of optimize the product for that group of people... then you've optimized for the group that's that at the greatest potential scale of your of your product is a minority

Optimising for Organic Users Tunes the Product for the Minority at Scale

Organic users are self-selecting, high-intent early adopters who look very different from the mass-market paid users who represent 60–80% of daily installs at scale. If you've only A/B tested with organic users, you've tuned the product for a minority. Bringing in paid traffic early reveals what the majority of future users actually need.

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