The use case: how eXp Realty deploys Lovable
eXp Realty uses Lovable to build custom software in place of per-seat SaaS tools, including country websites with agent microsites and property search, an internal community platform called The Hub, and internal AI chatbot and HR tools. Non-technical staff build and own these tools.
More reported results
Figures published in Lovable’s case study. They are not independently measured by usedby.
The high quality of the sites reduced support tickets from agents by 85%.
The Peru site became the template for a broad replatforming of 26 country sites.
The result was a better product at a fraction of the cost, saving the company roughly $1M per year.
In 6 hours, we launched a site we owned end-to-end.
In the customer’s words
A failed vendor and a missed deadline forced our hand. Lovable gave us our power back.It’s saved us millions of dollars. And we’ve come out with better solutions.Other AI tools used by eXp Realty
Other public relationships recorded on usedby.
Explore eXp Realty’s AI stackOther companies using Lovable
Customers across industries, with public evidence.
AppDirectConfirmed
AtonomConfirmed
CreandumConfirmed
Delivery HeroConfirmed
ElevenLabsConfirmed
Nexer GroupConfirmedGo straight to the source
Based on Lovable’s published case study. We check the public evidence; the results are reported by the vendor.
lovable.dev- Last checked
- Nov 8, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: millions of dollarsChecked
Printed word for word on the page, near the name of eXp Realty.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of eXp Realty.
- eXp Realty uses LovableChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Cancelling the vendor contract meant the per-agent fees were eliminated. The high quality of the sites reduced support tickets from agents by 85%. And owning their own implementation allowed eXp Realty to improve and expand the sites themselves




