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Best Airbnb/STR Market Data from AirROI

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Best Airbnb/STR Market Data from AirROI

We just launched the AirROI Data Portal to tackle the challenge of getting reliable, clean data for the short-term rental Airbnb market. What sets us apart: Coverage: Tracking 20millions+ of properties globally Quality: Proprietary cleaning process to handle duplicates, errors, and standardization. Freshness: Data is updated monthly. Metrics: Includes active listings, ADR, occupancy, revenue potential, property types, etc. Formats: Exports available in CSV, JSON, and Parquet. Useful for investors, hosts/operators, researchers, or anyone building tools needing STR intelligence. We also offer custom data cuts beyond the portal's top markets. https://www.airroi.com/data-portal Happy to answer any questions or hear your feedback!

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Actual performance

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Did not reach leaderboard

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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.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly · 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 · Strong signals: host · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
32%32% 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 · Strong signals: revenue, active · Missing: arr, mrr, profit
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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