Building Homi: Why Home Search Needs an AI That Listens
Most home search is a filter problem. But how you actually decide on a home is a story problem. Here’s what we built to close that gap.
Read moreAbout - One engineer, a few bets, a clear thread
Boe Ventures is my holding company. I'm Kristian — Norwegian engineer, Oslo and NYC, MSc in AI from NTNU. I build software products and run them.
My thesis was on apartment matching algorithms. Then I spent years at Netlight and Schibsted, then did a stint at Antler where I worked on workplace matchmaking at Scales. The pattern kept showing up: people trying to find the right thing in a sea of options, with bad tools to help them. So I started building better ones.
SwipeStats gives dating app users a data lens on their own behavior. Homi applies AI to home search — another market where signal is buried under noise. Promad.life is next: a community for professional nomads who've made remote work a lifestyle, not a perk.
I'm a member of Nova Talent, have facilitated at Stanford's STeLA Forum, and was Project Manager for Norwegian Game Awards at Start NTNU. Full-stack in practice: Next.js, TypeScript, tRPC, ML when the problem warrants it.
- Products in portfolio
- 3
- Countries operating from
- 2
- Matching problems left to solve
- ∞
How I work - Ship fast. Learn from real users. Iterate.
No committees, no process theater. Just a feedback loop between product and the people using it.
- Evidence over opinion. Decisions get made based on what users actually do, not what they say they'd do or what feels right in a planning meeting.
- Remote-first, async by default. Oslo and NYC, sometimes simultaneously. Time zones are a scheduling constraint, not a reason to slow down.
- Compounding bets. Every product I build teaches me something that makes the next one sharper. Matching problems are my through-line — I just keep applying them to better contexts.
Founder
Kristian Elset Bøe
Founder
From the blog
Occasional writing on products, AI, and what I'm learning building in public.
What SwipeStats Taught Me About Personal Data
A million swipes told me something I wasn’t expecting: people don’t want market statistics. They want a mirror.
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