Actionable data on companies that matter to you. We analyze billions of data points every day to provide accurate, granular insights. [email protected]
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Joined May 2011
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We are heading to the Columbia Quant Conference this Thursday, Nov 5!
At 10:25 a.m., our very own Jingwen Xu and Maxime Chapados will deliver the keynote “B2B: The Next Frontier in Alternative Data: How Yipit is Unlocking the Next Generation of Alpha Signals.”
Reach out to us if you’ll be there!
Your team already works with AI. Now YipitData can be part of that conversation.
Join our product team on Nov 10 at 1:00 p.m. EST for the strategy, the product and the workflows: research, KPIs and card data in Claude, ChatGPT and your own models.
Register here: yipitdata.com/resources/webi…
YipitData MCP: Build your inflection screener once, refresh it anytime.
Every week it’s the same manual process: Open the dashboard, scan the KPIs, find what accelerated, then do it again next week.
With our Research and Metrics MCP, you build it once in Claude: an inflection tracker, a coverage tracker or a pre-earnings watchlist, pulled from our reports and KPIs.
Pin it, come back, and hit refresh. New data, same view, no tokens, in the workspace you’re already in.
Request more info here: yipitdata.com/public-investo…
We just added data file access to our Research & Metrics MCP, allowing investors to pull, visualize, and slice the data in our data files with a single prompt.
Example: “Visualize the latest CVNA datafile.”
Ahead of the upcoming Anthropic IPO, we pulled together some of the key trends we’re watching and the questions investors should be asking.
YipitData’s proprietary datasets provide an independent view into the business, tracking enterprise spend and adoption, model usage, token pricing, market share, retention, and cloud trends.
Explore the data and charts behind our Anthropic research here: yipitdata.com/resources/yipi…
YipitData is heading to Battle of the Quants in London tomorrow!
We'll be at the Data Buyers Breakfast at 8:00 a.m., and at 12:15 p.m. David Riehl joins the panel "The Chase is ON! Can New Datasets Impact Training?" to explore how even esoteric data can move portfolio returns.
Book time with our team if you’ll be there!
AI agents may already be influencing higher-value purchases.
Our latest META update introduces tracking of Muse/agent-facilitated spending, including payers, transactions, spend, and category-level trends.
A look at the current spending mix:
Travel: 30% of spend (just 12% of transactions)
Retail: 30% of spend (35% of transactions)
Insurance: 6% of spend (3% of transactions)
Entertainment & Events: 11% of spend (11% of transactions)
Travel’s outsized share of spend suggests agents are already helping facilitate larger-ticket purchases.
For the first time, Andreessen Horowitz's Top 100 Consumer AI Apps ranks products not just by downloads and traffic, but by what U.S. consumers actually pay using YipitData's consumer spend panels. As the report shows, that 𝗻𝗲𝘄 𝗹𝗲𝗻𝘀 𝗿𝗲𝘄𝗿𝗶𝘁𝗲𝘀 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝘆.
Spend concentration is one of those perspective shifts. The top 1% of consumer AI payers spend over $10K a year on average (work usage may be even higher), and they're still growing that spend, up 80% in the last 18 months.
The median payer spends $300 a year and has barely expanded it. The top 1% alone drives more spend than the bottom 50% combined, and over half of the vendors on the spend list don't appear on the traffic lists at all.
Where people go and what they value are two different leaderboards. We're proud to help Andreessen Horowitz bring both into view. Read the full report from Olivia Moore: a16z.news/p/top-100-consumer…
#ConsumerAI #AlternativeData #a16z
YipitData retweeted
🚨 The @a16z Consumer AI Top 100 is back - but this time, it's 150!
We added revenue data from @yipitdata to track how consumers are spending not just time, but money, on AI.
The result? A story of heavy concentration among AI's power users. Our takeaways 👇
Consumer AI spending is shifting: ChatGPT is losing share to Claude and Gemini.
Claude’s share more than doubled from 7% to 19% over the past year, while Gemini rose from 12% to 18%. ChatGPT fell from 76% to 57%.
And the consumer AI landscape is still evolving. Stay tuned for Muse data coming soon.
Miro was acquired today at a 90% discount to its last valuation.
The company reported ARR of more than $500 million in October 2024 and approximately $600 million today, suggesting modest growth. YipitData’s spend data, covering 1.5 thousand U.S. businesses and 4 million U.S. consumers, tells a more concerning story: both customer count and revenue have declined steadily since September 2025.
Explore near-real-time performance data on 250,000+ private AI and software companies: yipitdata.com/private-invest…
Who topped our latest AI and SaaS breakout list?
@ollama , @NousResearch , and @moonshot ,
Every month our customers get a list of breakout companies based on our proprietary B2B spend panel that tracks software adoption across 1,300+ mid-market and enterprise companies.
Using observed customer behavior, we can flag breakouts months before they show up in funding rounds, headcount, or trade press.
Want to see what AI and SaaS companies are breaking out right now? Connect with our team: yipitdata.com/private-invest…
YipitData retweeted
Nvidia's moat isn't shrinking — it's growing in absolute terms. This chart tracks est. GPU cloud revenue by chip since Jan 2023: total spend is up ~8x, and Nvidia chips are still nearly the entire stack. AWS's Inferentia/Trainium? Still a rounding error.
Note that the data reflects large enterprise panelists, and excludes some major Tranium rental spenders like Anthropic.
