Yipit
Generated by GPT-5-miniExpansion Funnel Raw 102 → Dedup 0 → NER 0 → Enqueued 0
| Yipit | |
|---|---|
| Name | Yipit |
| Type | Private |
| Industry | Financial services |
| Founded | 2010 |
| Founders | David Brown, Ben Rubin |
| Headquarters | New York City |
| Products | Deal aggregation, market research, analytics |
Yipit Yipit is a New York City–based private company founded in 2010 that aggregates local deals and provides business intelligence to investors, venture capital, and corporate clients. The firm evolved from a consumer-facing deal-discovery service into a provider of structured data and analytics for sectors such as e-commerce, travel, hospitality, and food delivery. Yipit's trajectory intersects with prominent players in technology, finance, and media through its product offerings and strategic partnerships.
History
Yipit was founded in 2010 by David Brown and Ben Rubin amid the rise of daily-deal sites such as Groupon, LivingSocial, and Amazon Local. Early coverage appeared in outlets including The New York Times, TechCrunch, Forbes, and The Wall Street Journal as Yipit expanded beyond New York City into national markets. The company shifted focus from consumer coupons to business-to-business services after interactions with firms such as Sequoia Capital, Andreessen Horowitz, and Union Square Ventures. Over time Yipit developed relationships with platforms including Yelp, OpenTable, Grubhub, and Uber Technologies as the local deals landscape consolidated and competition from platforms like Facebook intensified.
Business model and services
Yipit’s business model transitioned from advertising-supported consumer services to subscription-based data products for institutional customers such as Goldman Sachs, Morgan Stanley, BlackRock, and Sequoia Capital. The company sells datasets and bespoke research to private equity, hedge fund, and investment banking clients, and licenses APIs to corporations like Expedia, TripAdvisor, and Booking.com. Services include market-monitoring dashboards used by teams at Amazon, Apple Inc., and Google LLC for competitive intelligence, and consultancy engagements reminiscent of offerings from McKinsey & Company, Boston Consulting Group, and Bain & Company.
Technology and data products
Yipit built a technology stack combining web scraping, natural language processing, and machine learning similar to solutions used by Palantir Technologies, Databricks, and Splunk. Its products provided normalized feeds of deal metadata, price-discount histories, and merchant analytics comparable to datasets from Nielsen Holdings, IHS Markit, and Comscore. Yipit integrated with cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform and used tools from Apache Hadoop, Apache Spark, and TensorFlow to process large-scale data. The company competed with and complemented services from Yelp, Foursquare, Zagat, and OpenTable in local commerce intelligence.
Funding and financials
Yipit raised capital from investors including RRE Ventures, Kaplan Ventures, and high-profile angels associated with LinkedIn, Facebook, and Twitter (service). Funding rounds and valuation discussions were covered by Crunchbase, PitchBook, and The Information. Financial relationships involved revenue contracts with clients such as NASDAQ, NYSE, and Bloomberg L.P. while benchmarking metrics against peers like CB Insights, SimilarWeb, and App Annie. The company’s shift to enterprise products altered revenue composition toward recurring subscription income, aligning it with SaaS models promoted by Salesforce, Workday, and ServiceNow.
Partnerships and acquisitions
Yipit engaged in collaborations and data partnerships with firms including Groupon, LivingSocial, OpenTable, Yelp, Google Maps, and payment processors like Stripe and Square, Inc.. Strategic alliances mirrored arrangements seen between Facebook and Instagram (service), or Twitter and Periscope (service), while distribution deals resembled integrations marketed by Shopify and Etsy. Reports linked Yipit to acquisition interest from larger data firms and media companies such as The New York Times Company and IAC/InterActiveCorp, and elicited comparisons to roll-ups by Thomson Reuters and RELX.
Legal issues and controversies
Yipit’s core activities—aggregating online offers and scraping public listings—placed it in the same legal conversations as cases involving hiQ Labs, LinkedIn Corporation, and other data-aggregation firms over computer fraud claims and terms-of-service disputes litigated in federal courts such as the United States District Court for the Northern District of California. Debates implicated statutes and doctrines considered in matters before the United States Supreme Court and regulatory scrutiny from agencies analogous to the Federal Trade Commission and Department of Justice. Industry commentary referenced precedents involving Google’s caching disputes and controversies around data use by Cambridge Analytica.
Reception and impact
Industry reception highlighted Yipit’s role in transforming fragmented local-offer information into structured intelligence used by investors, analysts, and corporate strategists alongside firms like CB Insights, Crunchbase, and PitchBook Data. Media outlets including Wired (magazine), Bloomberg News, Fortune (magazine), and The Atlantic discussed Yipit in the context of the evolution of e-commerce and localized services. Academic and consultancy reports compared Yipit’s analytics to capabilities promoted by Gartner, Forrester Research, and IDC, noting influence on deal discovery, market due diligence, and competitive monitoring in sectors encompassing hospitality, retail, food delivery, and travel.