Hown – Message Any Homeowner and Buy and Sell Off-Market

Hacker News

Hi HN! A few years ago, I had a tough time buying a home in a competitive market where listings were scarce. I kept wondering—why isn’t there a simple way to contact a homeowner directly to ask if they’re interested in selling? So a friend and I built Hown, an app that lets buyers message any homeowner, creating a way to buy and sell houses outside the real estate market (sorry, US only for now). The app is for: -Homeowners who might be open to selling but aren’t ready to list. -Buyers who want to express interest in homes before they hit the market. -House enthusiasts who just enjoy browsing and tracking the popularity of their home. We built it in SwiftUI (which has been interesting…) and we launched recently. We’re still iterating, but curious to hear what the HN community thinks—Does this seem useful? What would make it better? Really any thoughts would be appreciated! Thanks!

Visit product View on Hacker NewsMar 19, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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