Key Takeaways
- Foursquare wins 2023 Location Innovation Award from Mobile Marketing Association
- Named to Deloitte Technology Fast 500 in 2021 (#289)
- Foursquare's Pilgrim SDK awarded Best Location Tech at CES 2019
- Foursquare was founded in March 2009 by Dennis Crowley and Naveen Selvadurai
- By 2010, Foursquare had reached 1 million users within its first year
- Foursquare hit 10 million users by January 2011
- Foursquare's revenue per user averages $0.50 annually (est. 2020)
- Foursquare's annual revenue exceeded $100M in 2022
- Total funding raised: $77.1M over 10 rounds by 2023
- Partnership with Uber for 1B+ ride-location matches yearly
- Foursquare data powers Pinterest's place pins for 400M users
- Integration with Snapchat for Snap Map location accuracy
- Foursquare integrates with Apple Maps, powering 20% of queries
- Pilgrim SDK offers 94% visit detection accuracy passively
- Foursquare Places database updated 22x per day with 500M edits/year
Foursquare has evolved from a check in app into a leading enterprise location data platform powering major innovation awards.
Related reading
Awards
Awards Interpretation
Company History
Company History Interpretation
Financial Metrics
Financial Metrics Interpretation
More related reading
Partnerships
Partnerships Interpretation
Product Features
Product Features Interpretation
User Statistics
User Statistics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Felix Zimmermann. (2026, February 13). Foursquare Statistics. Gitnux. https://gitnux.org/foursquare-statistics
Felix Zimmermann. "Foursquare Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/foursquare-statistics.
Felix Zimmermann. 2026. "Foursquare Statistics." Gitnux. https://gitnux.org/foursquare-statistics.
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