Invest in Airbnbs Like Stocks

Hacker News

Hey HN - I’m Ryan, the co-founder of Arrived. We made it possible to buy shares of vacation rentals, starting from $100. Investors earn the booking income & property appreciation from being an owner, without all of the work typically involved. Airbnb’s can be a killer business. They have helped vacation rental owners generate over $150 Billion in rental income from serving a billion guest arrivals, but less than 0.5% of these guests have been able to participate in the owner side of the Airbnb economy. Arrived is the first company with SEC Qualified offerings to buy shares in individual properties like this. We launched rental home investing last year and have funded $55m in rental homes across the country so far. And we are excited to launch vacation rental investing on our platform this week. Would love any feedback on our vacation rental launch.

Visit product View on Hacker NewsSep 9, 2022

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

82%82% 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.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

23%23% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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