The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Assertion Supported
Uber dropped Google Maps for Foursquare to power venue search
“If you use Uber and you say, like, I, you know, please pick me up at the, you know, Regency Cinema in Tribeca and take me to the Starbucks on 27th street, rather than typing addresses, That's all powered by Foursquare's global data set and they moved off Googl…”
Jeff Glueck Mar 24, 2017 ▶ 4:35 Location Intelligence // Jeff Glueck, Foursquare (FirstMark's Data Driven)
Assertion Supported
Golde: Uber drivers average 0.6 to 0.8 empty miles per passenger mile
“We look at some of our competitors, specifically Uber, there's a paper published again, either late last year or earlier this year, showing how many miles they ride empty on average for every single passenger mile that they do, and it's about between . Six and…”
Saar Golde Apr 6, 2017 ▶ 10:53 Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)
Assertion Contradicted
Liu: Uber and Instabase use LlamaIndex for enterprise data applications
“We've seen people build these workflows at different settings from, for instance, like hacks on projects at startups building, for instance, like track GPT, like, plugin over, like, your Slack or your Notion all the way to kind of, like, bigger companies, for …”
Jerry Liu Jul 12, 2023 ▶ 26:58 Building LlamaIndex: Jerry Liu on Scaling Retrieval-Augmented AI
Assertion Supported
Foursquare location technology powers Apple Maps, Uber, Bing, and 100,000 others
“We power a lot of the location inside Bing. We power a lot of Apple Maps around the world. If you search in Uber or Tencent, Pinterest, and Snapchat, Samsung, Twitter, Garmin, these are among the 100,000 companies that now are using this technology set.”
Jeff Glueck Mar 24, 2017 ▶ 2:33 Location Intelligence // Jeff Glueck, Foursquare (FirstMark's Data Driven)
Assertion Supported
ClickHouse counts Spotify, Netflix, Disney, and Uber as customers
“We are taking this very powerful analytical database that's used by companies like Spotify and Netflix and Disney and Uber and eBay and Cloudflare, and we're building a managed service in the cloud that we're calling ClickHouse Cloud.”
Aaron Katz Jun 13, 2024 ▶ 2:05 How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
Assertion Supported
Katz: Uber adopted ClickHouse for logging infrastructure to lower costs
“They were evaluating a variety of technologies for their logging infrastructure for their logging platform, which is being used by hundreds of developers every day for a variety of analytical workloads. And the current technology presented a bit of a cost. Con…”
Aaron Katz Nov 16, 2021 ▶ 6:37 Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
Assertion Supported
Narkhede: Apache Kafka is used by thousands of companies worldwide
“Since we open sourced it, you know, roughly five years ago, Kafka is used in thousands of companies worldwide, from Uber, and LinkedIn, and Netflix, all the way to traditional enterprises like eBay, and PayPal, and Cisco, and Goldman Sachs.”
Neha Narkhede Jun 16, 2016 ▶ 10:13 A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
Assertion Supported
Tan: Sift Science has 25 employees and 175 customers including Twitter and Uber
“We have 25 people out in San Francisco just closed our Series B recently, and we have about a 175 customers around the world, including Twitter, Square, Match.com, OpenTable, Uber, Airbnb, Kickstarter and others.”
Jason Tan May 27, 2014 ▶ 0:19 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
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