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CompStak
Other B2B Software · New York City, United States · Founded 2011
Gathers commercial real estate information into a database MoreLess
CompStak is a digital platform that provides comprehensive and accurate commercial real estate (CRE) data. It operates in the CRE market, serving a diverse clientele that includes appraisers, brokers, and investors. The platform offers a unified dataset that includes lease, sale, loan, and property history. This data is collected through a combination of crowdsourcing and proprietary data verification methods, ensuring its reliability and accuracy.
CompStak's business model revolves around the provision of granular data that includes hard-to-find transaction details. This data is valuable for its clients, as it provides specific insights into each deal, unlike other data providers that anonymize and average the data. This unique approach to data provision has made CompStak a trusted source of CRE data for industry-leading brands.
The company generates revenue by charging its clients for access to its comprehensive database. The data provided by CompStak is used by its clients to make informed decisions in the CRE market. For example, in 2022, tenants in New York were able to negotiate 7% of the lease term rent-free, compared to 3% in 2019, based on data provided by CompStak.
In conclusion, CompStak is a valuable tool in the CRE market, providing accurate and detailed data that helps its clients make informed decisions. Its unique approach to data collection and provision sets it apart from other data providers, making it a trusted source of CRE data.
Keywords: Commercial Real Estate, Data, Crowdsourcing, Proprietary Data Verification, Lease Comps, Sale Comps, Loan Data, Property Data, Analytics, Granular Data.
Talent graph
CompStak's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where CompStak has talent and traffic
team presence
Market sentiment
What the market is saying about CompStak
An AI-synthesized read of the highest-engagement posts about CompStak on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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