| 10% | “10%” | Legacy compliance review for a healthcare client would have cost $4 million | Apoorv Agarwal | May 13, 2019 | — |
| 5× | “five times” | Agarwal: Text IQ grew 5x over 6-7 months | Apoorv Agarwal | May 13, 2019 | — |
| 100% | “hundred percent” | Enterprise AI only needs to outperform keyword searches and human reviewers | Apoorv Agarwal | May 13, 2019 | — |
| 3.5M | “3504 thousand” | Perret: Plaid powers about 3,500 to 4,000 financial products | Zach Perret | May 13, 2019 | Contradicted |
| 1% | “one percent” | Perret: Plaid got lucky and only drove 1% of fintech growth | Zach Perret | May 13, 2019 | — |
| 200M | “two hundred million” | DigitalOcean generated over $200 million in revenue in 2018 | Ben Uretsky | Mar 19, 2019 | Supported |
| 1M | “a million” | DigitalOcean has over 500,000 monthly active customers | Ben Uretsky | Mar 19, 2019 | — |
| $1M | “a million dollars” | Uretsky: DigitalOcean's largest customer accounts spend over $1 million annually | Ben Uretsky | Mar 19, 2019 | Not publicly verifiable |
| 3M | “three million” | Uretsky: DigitalOcean gets about 3 million monthly visitors to tutorials | Ben Uretsky | Mar 19, 2019 | — |
| 23M | “twenty three million” | Ben Uretsky: DigitalOcean raised $123M in venture capital and ~$300M in debt | Ben Uretsky | Mar 19, 2019 | — |
| 300M | “three hundred million” | Ben Uretsky: DigitalOcean raised $123M in venture capital and ~$300M in debt | Ben Uretsky | Mar 19, 2019 | — |
| $54M | “fifty-four million dollars” | Gourley: Primer has raised $54M to date, led by Lux Capital | Sean Gourley | Mar 19, 2019 | Supported |
| 1.5T | “half a trillion” | Gourley: Primer counts GIC, Walmart, and US intelligence agencies as customers | Sean Gourley | Mar 19, 2019 | — |
| 87% | “87%” | Gourley: Primer headline generator achieves 84% okay-or-better rating versus 87% for humans | Sean Gourley | Mar 19, 2019 | — |
| 84% | “84%” | Gourley: Primer headline generator achieves 84% okay-or-better rating versus 87% for humans | Sean Gourley | Mar 19, 2019 | — |
| 44% | “44%” | Gourley: Primer headlines beat human writers 29% of the time in side-by-side tests | Sean Gourley | Mar 19, 2019 | — |
| 1.2M | “1.2 million” | Primer generated 40,000 new scientist profiles using RNNs and scientific papers | Sean Gourley | Mar 19, 2019 | — |
| 7M | “a six million” | Gourley: Primer cut bank analyst report summary time, saving $6M | Sean Gourley | Mar 19, 2019 | — |
| 25% | “25%” | Gourley: Primer cut bank analyst report summary time, saving $6M | Sean Gourley | Mar 19, 2019 | — |
| 20M | “twenty million” | VMware's Nicira business grew from $20M to $600M ARR during Casado's tenure | Martin Casado | Mar 19, 2019 | Supported |
| 600M | “six hundred million” | VMware's Nicira business grew from $20M to $600M ARR during Casado's tenure | Martin Casado | Mar 19, 2019 | Supported |
| 1.3B | “1.3 billion” | VMware's Nicira business grew from $20M to $600M ARR during Casado's tenure | Martin Casado | Mar 19, 2019 | Supported |
| 30M | “30 million” | Startups need around $30M ARR before partners handle professional services | Martin Casado | Mar 19, 2019 | — |
| $100M | “hundred million dollars” | Cloud incumbents struggle against open-source startups under $100M revenue | Martin Casado | Mar 19, 2019 | — |
| 99% | “99%” | Deep learning teams using standard code branches are light years ahead | Dillon Erb | Feb 25, 2019 | — |
| 10M | “ten million” | Ober: Quant funds require two years of backtestable daily data before purchasing | Matt Ober | Feb 25, 2019 | — |
| 50M | “fifty million” | The New York Times sees 150 million unique visitors per month | Nick Rockwell | Jan 17, 2019 | — |
| 80M | “eighty million” | K Health trained its diagnostic AI on 80 million doctors' notes | Allon Bloch | Jan 16, 2019 | — |
| 1.5M | “half a million” | K Health reached 500,000 users within six months of launch | Allon Bloch | Jan 16, 2019 | Supported |
| 500× | “500 times” | Vicarious AI sped up its algorithms 500x for real-time robot operation | Dileep George | Dec 11, 2018 | — |
| 1B | “a billion” | Bob Moore categorizes himself as an "in-the-middle" entrepreneur | Bob Moore | Dec 5, 2018 | — |
| $60M | “sixty million dollars” | Bob Moore sold his startup Stitch Data to Talend for $60M | Bob Moore | Dec 5, 2018 | — |
| $23M | “twenty three million dollars” | RJMetrics raised $23M across Seed, Series A, and Series B rounds | Bob Moore | Dec 5, 2018 | — |
| $100M | “a hundred million dollars” | Enigma recently raised just under $100 million in funding | Hicham Oudghiri | Dec 5, 2018 | — |
| 30M | “thirty million” | Oudghiri: Enigma's company graph covers 30 million SMBs and 1,000+ attributes | Hicham Oudghiri | Dec 5, 2018 | — |
| 1K | “a thousand” | Oudghiri: Enigma's company graph covers 30 million SMBs and 1,000+ attributes | Hicham Oudghiri | Dec 5, 2018 | — |
| 3B | “three billion” | Timber.io processes 3 billion events daily across 4,000 applications | Ben Johnson | Dec 5, 2018 | — |
| 90% | “90%” | Sherman: Timber reduced its data pipeline costs by about 90% | Zach Sherman | Dec 5, 2018 | — |
| 60% | “60%” | Gartner: Companies spend 60% of their data effort on the first mile | Mike Tuchen | Oct 17, 2018 | Supported |
| 51M | “a fifty million” | Tuchen: Talend will surpass $200 million in revenue in 2018 | Mike Tuchen | Oct 17, 2018 | — |
| 200M | “two hundred million” | Tuchen: Talend will surpass $200 million in revenue in 2018 | Mike Tuchen | Oct 17, 2018 | — |
| 1K | “a thousand” | Tuchen: Talend will surpass $200 million in revenue in 2018 | Mike Tuchen | Oct 17, 2018 | — |
| 30% | “30%” | Under 3% of IT failures were resolved within an hour by 2013 | Spencer Kimball | Oct 17, 2018 | Supported |
| 10% | “10%” | Under 3% of IT failures were resolved within an hour by 2013 | Spencer Kimball | Oct 17, 2018 | Supported |
| 3% | “three percent” | Under 3% of IT failures were resolved within an hour by 2013 | Spencer Kimball | Oct 17, 2018 | Supported |
| 43% | “43%” | Three-site consensus replication yields 43% higher non-storage resource utilization | Spencer Kimball | Oct 17, 2018 | — |
| 3× | “three times” | Three-site consensus replication yields 43% higher non-storage resource utilization | Spencer Kimball | Oct 17, 2018 | — |
| 2× | “two X” | Three-site consensus replication yields 43% higher non-storage resource utilization | Spencer Kimball | Oct 17, 2018 | — |
| 95% | “95%” | Kimball: 95% of data in global software applications is inherently local | Spencer Kimball | Oct 17, 2018 | — |
| 10B | “ten billion” | Joe Lubin: ConsenSys processes about 10 billion queries per day for Ethereum | Joe Lubin | Sep 17, 2018 | — |
| 70% | “70%” | Lubin: Traditional music intermediaries capture 70% of value in the ecosystem | Joe Lubin | Sep 17, 2018 | Partly supported |
| 90% | “90%” | Lubin: Acquiring users and UI/UX is 90% of building crypto apps | Joe Lubin | Sep 17, 2018 | — |
| 50% | “50%” | Lubin: ConsenSys takes equity stakes ranging from 5% to over 50% | Joe Lubin | Sep 17, 2018 | — |
| 5% | “five percent” | Lubin: ConsenSys takes equity stakes ranging from 5% to over 50% | Joe Lubin | Sep 17, 2018 | — |
| 1M | “a million” | TimescaleDB surpassed 1 million downloads in its first 18 months | Ajay Kulkarni | Sep 17, 2018 | — |
| 60M | “sixty million” | Kulkarni: Elastic filed for IPO making $160M in revenue, more than MongoDB | Ajay Kulkarni | Sep 17, 2018 | Supported |
| 80% | “80%” | Dixon: High-end VR headset prices fell 80% over three years | Chris Dixon | Jun 8, 2018 | Contradicted |
| 80% | “80%” | Dixon: 80% accurate ML models take a weekend; the rest takes decades | Chris Dixon | Jun 8, 2018 | — |
| 20% | “20%” | Dixon: 80% accurate ML models take a weekend; the rest takes decades | Chris Dixon | Jun 8, 2018 | — |
| 20% | “20%” | Dixon: Ten Google results act as a fault-tolerant UI for AI | Chris Dixon | Jun 8, 2018 | — |
| 99% | “99%” | Chris Dixon: 99% of network effect startups fail before achieving scale | Chris Dixon | Jun 8, 2018 | — |
| 1.5B | “a half billion” | Dixon: League of Legends made $2.5B selling cosmetic items | Chris Dixon | Jun 8, 2018 | Partly supported |
| 20% | “20%” | Bloomreach Touches 20% of All US E-Commerce Transactions | Raj De Datta | Jun 8, 2018 | — |
| 20% | “20%” | Practical Enterprise ML is 20% Algorithms and 80% Systems Engineering | Raj De Datta | Jun 8, 2018 | — |
| 80% | “80%” | Practical Enterprise ML is 20% Algorithms and 80% Systems Engineering | Raj De Datta | Jun 8, 2018 | — |
| 1.5B | “a half billion” | De Datta: Adobe is Bloomreach's largest competitor with a $1.5B business in their space | Raj De Datta | Jun 8, 2018 | Supported |
| 1.2B | “1.2 billion” | A major New York bank receives 1.2 billion text messages annually | Ben Vigoda | May 22, 2018 | — |
| 1K | “a thousand” | Cell phones would drop calls 1,000x more often without Bayesian probability bounds | Ben Vigoda | May 22, 2018 | — |
| 5% | “five percent” | Piantino: AI image identification on ImageNet has surpassed human accuracy | Serkan Piantino | May 18, 2018 | Supported |
| 19% | “19%” | IA Ventures held 19% ownership in The Trade Desk at its IPO | Roger Ehrenberg | May 18, 2018 | — |
| 3× | “three times” | IA Ventures held 19% ownership in The Trade Desk at its IPO | Roger Ehrenberg | May 18, 2018 | — |
| 1.3B | “a quarter billion” | Hyman: Braze helps client brands reach over 1.25 billion monthly active users | Jon Hyman | Apr 9, 2018 | — |
| 1.5T | “half a trillion” | Braze processes 500 billion monthly data points to deliver personalized brand messages | Jon Hyman | Apr 9, 2018 | — |
| 80% | “80%” | Chainalysis tracks roughly 80% of transacted Bitcoin value involving known entities | Jonathan Levin | Apr 9, 2018 | — |
| 60M | “sixty million” | Snowflake closed a $260 million funding round led by Sequoia | Bob Muglia | Apr 9, 2018 | — |
| 1M | “a million” | Muglia: Snowflake was named after Northstar California resort's logo | Bob Muglia | Apr 9, 2018 | Partly supported |
| $1B | “a billion dollars” | Johnson: $1 billion will flow into satellite infrastructure over coming years | Mark Johnson | Mar 2, 2018 | Held up |
| 1% | “one percent” | USDA corn production estimates achieve under 1% error by season end | Mark Johnson | Mar 2, 2018 | Supported |
| 3% | “three percent” | Stent: One-minute news reporting delay corresponded to 3% stock price move | Amanda Stent | Mar 2, 2018 | Supported |
| 12% | “12%” | Stent: One-minute news reporting delay corresponded to 3% stock price move | Amanda Stent | Mar 2, 2018 | Supported |
| 85% | “85%” | Oppenheimer: Serverless AI architecture can cut infrastructure costs by up to 85% | Diego Oppenheimer | Mar 2, 2018 | — |
| $1.5M | “a half million dollars” | Algorithmia has raised about $13.5M with a team of 24 people | Diego Oppenheimer | Mar 2, 2018 | — |
| 100M | “a hundred million” | Goldman Sachs' internal surveillance graph has 100M nodes and 1B edges | Mayur Thakur | Dec 19, 2017 | — |
| 1B | “a billion” | Goldman Sachs' internal surveillance graph has 100M nodes and 1B edges | Mayur Thakur | Dec 19, 2017 | — |
| 3B | “three billion” | Goldman Sachs indexes up to 3 billion internal communications for surveillance | Mayur Thakur | Dec 19, 2017 | — |
| 1B | “a billion” | Goldman Sachs processes billions of market data events daily | Mayur Thakur | Dec 19, 2017 | — |
| 95% | “95%” | Goldman Sachs targets 95% recall and 20% precision for compliance surveillance | Mayur Thakur | Dec 19, 2017 | — |
| 20% | “20%” | Goldman Sachs targets 95% recall and 20% precision for compliance surveillance | Mayur Thakur | Dec 19, 2017 | — |
| $10M | “ten million dollars” | Early AI startups with under $5M in funding hire 50 data labelers | Ash Fontana | Nov 20, 2017 | — |
| $5M | “five million dollars” | Early AI startups with under $5M in funding hire 50 data labelers | Ash Fontana | Nov 20, 2017 | — |
| 70% | “70%” | Boujarwah: 70% of US women wear plus size, but represent 16% of spend | Nadia Boujarwah | Nov 20, 2017 | Supported |
| 16% | “16%” | Boujarwah: 70% of US women wear plus size, but represent 16% of spend | Nadia Boujarwah | Nov 20, 2017 | Supported |
| 1M | “a million” | Boujarwah: Dia&Co has served over a million women across most US zip codes | Nadia Boujarwah | Nov 20, 2017 | — |
| 90% | “90%” | Boujarwah: Dia&Co has served over a million women across most US zip codes | Nadia Boujarwah | Nov 20, 2017 | — |
| 99% | “99%” | Hoffman: Machine learning engineers spend up to 99% of time organizing data | Auren Hoffman | Nov 20, 2017 | — |
| 95% | “95%” | Hoffman: Google ML engineers spend 95% of their time building models | Auren Hoffman | Nov 20, 2017 | — |
| 1% | “one percent” | Hoffman: Internal data represents under 0.01% of global data for most companies | Auren Hoffman | Nov 20, 2017 | — |
| 70% | “70%” | Hoffman: Google has location data on 70% of US mobile phones | Auren Hoffman | Nov 20, 2017 | — |
| 1M | “one million” | SecurityScorecard aimed to monitor one million entities by the end of 2018 | Dr. Bob Sohval | Oct 26, 2017 | — |
| 1K | “a thousand” | SecurityScorecard observes a 1,000-to-1 ratio of non-breached to breached companies | Dr. Bob Sohval | Oct 26, 2017 | — |
| 50M | “fifty million” | Christine Hung: Spotify has 150M monthly active users across 60+ countries | Christine Hung | Oct 26, 2017 | Supported |
| 90M | “ninety million” | There are 90 million patents and 30 million scientific articles available | Jerome Pesenti | Oct 26, 2017 | Partly supported |
| 30M | “thirty million” | There are 90 million patents and 30 million scientific articles available | Jerome Pesenti | Oct 26, 2017 | Partly supported |
| 1B | “a billion” | BenevolentAI's biological knowledge graph contains approximately one billion facts | Jerome Pesenti | Oct 26, 2017 | — |
| 1K | “a thousand” | Cadre transacts on roughly 20 of the 1,000 assets it evaluates annually | Jean Sini | Oct 26, 2017 | — |
| $4B | “four billion dollars” | JPMorgan Chase and Citi each spend $2B to $4B annually on compliance | Bradford Cross | Sep 28, 2017 | Partly supported |
| 100% | “hundred percent” | Tawakol: AI transcription needs human-in-the-loop systems for acceptable user experiences | Omar Tawakol | Sep 28, 2017 | — |
| 600M | “a five hundred million” | Tawakol: Oracle Data Cloud grew into a $500 million business | Omar Tawakol | Sep 28, 2017 | Not publicly verifiable |
| 1.2M | “1.2 million” | Shah: Julia programming language has surpassed 1.2 million downloads | Viral Shah | Sep 28, 2017 | — |
| 100× | “hundred times” | Karpinski: Automatic dynamic code translation fails due to edge cases | Stefan Karpinski | Sep 28, 2017 | — |
| 100K | “a hundred thousand” | Lending Club had 20 employees and $100K in loans at evaluation | Rebecca Lynn | Jul 13, 2017 | — |
| 80% | “80%” | Lynn: 80% of Procter & Gamble marketing staff are engineers | Rebecca Lynn | Jul 13, 2017 | — |
| 73% | “73%” | Lynn: About 73% of U.S. doctors are on Doximity | Rebecca Lynn | Jul 13, 2017 | Partly supported |
| 90% | “90%” | Lynn: 90% of useful electronic medical record data is lab data | Rebecca Lynn | Jul 13, 2017 | — |
| 5% | “five percent” | Rebecca Lynn: AI will probably outperform all but the top 10% of doctors | Rebecca Lynn | Jul 13, 2017 | — |
| 10% | “10%” | Rebecca Lynn: AI will probably outperform all but the top 10% of doctors | Rebecca Lynn | Jul 13, 2017 | — |
| 100% | “hundred percent” | Trifacta CTO: No data prep algorithm will ever be 100% correct | Sean Kandel | Jul 13, 2017 | — |
| 90% | “90%” | Maida: Over 90% of enterprise cybersecurity data goes completely unused | Liz Maida | Jul 13, 2017 | — |
| $60M | “sixty million dollars” | IBM Watson's $60M MD Anderson oncology project was a complete failure | Stan Christiaens | Jul 13, 2017 | Supported |
| 140% | “140%” | Google Flu Trends suffered a 140% prediction error in 2013 | Stan Christiaens | Jul 13, 2017 | Supported |
| 65M | “sixty-five million” | PlaceIQ tracks movement data from 165 million opted-in US consumers | Duncan McCall | May 24, 2017 | — |
| 100× | “hundred-x” | Mostak: GPUs deliver 100x speedups over CPUs for analytics workloads | Todd Mostak | Apr 6, 2017 | — |
| 40% | “40%” | Mostak: Enterprise data volumes are growing by 40 percent year-over-year | Todd Mostak | Apr 6, 2017 | Supported |
| 40% | “40%” | Mostak: CPU power growth lags behind 40% annual data volume growth | Todd Mostak | Apr 6, 2017 | Supported |
| 20% | “20%” | Mostak: CPU power growth lags behind 40% annual data volume growth | Todd Mostak | Apr 6, 2017 | Supported |
| 100M | “a hundred million” | Mostak: Tableau data extracts fail on datasets exceeding 100 million rows | Todd Mostak | Apr 6, 2017 | Supported |
| 1K | “a thousand” | Endor outperformed nearly 1,000 teams on a Kaggle benchmark | Yaniv Altshuler | Apr 6, 2017 | Contradicted |
| 80% | “80%” | Ramot: Over 97% of Via rush-hour rides are shared | Daniel Ramot | Apr 6, 2017 | — |
| 97% | “97%” | Ramot: Over 97% of Via rush-hour rides are shared | Daniel Ramot | Apr 6, 2017 | — |
| 10M | “ten million” | Ramot: Via has completed 12M total rides and 250k weekly rides | Daniel Ramot | Apr 6, 2017 | — |
| 12M | “twelve million” | Ramot: Via has completed 12M total rides and 250k weekly rides | Daniel Ramot | Apr 6, 2017 | — |
| 1M | “a million” | Ramot: Via has completed 12M total rides and 250k weekly rides | Daniel Ramot | Apr 6, 2017 | — |
| 4× | “four times” | Golde: Via delivers two passengers per mile, outperforming competitors 3-4x | Saar Golde | Apr 6, 2017 | — |
| 3× | “three times” | Golde: Via delivers two passengers per mile, outperforming competitors 3-4x | Saar Golde | Apr 6, 2017 | — |
| 80% | “80%” | David Loaiza: Roughly 80% of alternative data sold by vendors is duplicated | David Loisa | Mar 24, 2017 | — |
| 99.9% | “99.9%” | Chen: Enterprise AI solutions must hit 99.9% accuracy from day one | Kuang Chen | Mar 24, 2017 | — |
| 9% | “nine percent” | Chen: Captricity is near 99.9% accuracy in voice transcription | Kuang Chen | Mar 24, 2017 | — |
| 50M | “fifty million” | Glueck: Foursquare reaches 50M monthly users across web and apps | Jeff Glueck | Mar 24, 2017 | — |
| 100M | “a hundred million” | Glueck: Foursquare can map 100 million places worldwide for venue targeting | Jeff Glueck | Mar 24, 2017 | — |
| 1B | “a billion” | Foursquare processes one billion daily API calls to power Twitter location | Jeff Glueck | Mar 24, 2017 | — |
| 95% | “95%” | Foursquare maps venues within a 95% confidence interval using check-in data | Jeff Glueck | Mar 24, 2017 | — |
| 5M | “five million” | Foursquare passively tracks user phone movements across 105 million businesses | Jeff Glueck | Mar 24, 2017 | — |
| 30% | “30%” | Foursquare Predicted Chipotle's Q1 Sales Drop Within 0.3% Using Location Data | Jeff Glueck | Mar 24, 2017 | Supported |
| 0.5% | “half percent” | Foursquare Predicted Black Friday Retail Drop Within 0.2% Using Store Traffic Data | Jeff Glueck | Mar 24, 2017 | Supported |
| 3.7% | “3.7%” | Foursquare Predicted Black Friday Retail Drop Within 0.2% Using Store Traffic Data | Jeff Glueck | Mar 24, 2017 | Supported |
| 12M | “twelve million” | Glueck: Foursquare outpredicted Wall Street on iPhone 6s launch sales | Jeff Glueck | Mar 24, 2017 | Partly supported |
| 29% | “29%” | Foursquare data showed women's foot traffic to Trump properties dropped 29% | Jeff Glueck | Mar 24, 2017 | Supported |
| 50% | “50%” | Between 30% and 50% of first-year hires fail | Frida Polli | Feb 3, 2017 | — |
| $1.4T | “1.4 trillion dollars” | US residential real estate generates $100 billion in annual transaction fees | Ian Wong | Feb 3, 2017 | Partly supported |
| $100B | “a hundred billion dollars” | US residential real estate generates $100 billion in annual transaction fees | Ian Wong | Feb 3, 2017 | Partly supported |
| 3% | “three percent” | U.S. homes outside major urban centers consistently sell 3% below list price | Ian Wong | Feb 3, 2017 | Supported |
| 12% | “12%” | Mason: Roughly 12 percent of daily Bitly links were unanalyzed rich media | Hilary Mason | Dec 8, 2016 | — |
| 80% | “80%” | Ribant: Datorama avoids privacy pushback by training on user actions, not data | Katrin Ribant | Nov 9, 2016 | — |
| 36× | “36 times” | Thusoo: Qubole clusters regularly auto-scale 36x for average customers | Ashish Thusoo | Nov 9, 2016 | — |
| 60% | “60%” | Bordes: Visual QA models saturate around 60% accuracy versus 95% for humans | Antoine Bordes | Nov 9, 2016 | Partly supported |
| 500% | “500%” | Instacart grew revenue by 500 percent between early 2015 and late 2016 | Jeremy Stanley | Sep 30, 2016 | — |
| 90% | “90%” | Ninety percent of Instacart customers are repeat buyers | Jeremy Stanley | Sep 30, 2016 | — |
| 25% | “25%” | Instacart's routing models predict Manhattan travel times twice as well as Google | Jeremy Stanley | Sep 30, 2016 | — |
| 50% | “50%” | Instacart's routing models predict Manhattan travel times twice as well as Google | Jeremy Stanley | Sep 30, 2016 | — |
| 10% | “10%” | Unifying objectives into one function beats coarse optimization constraints | Jeremy Stanley | Sep 30, 2016 | — |
| 3M | “three million” | Noah Weiss: Slack has passed 3 million daily active users | Noah Weiss | Sep 30, 2016 | Supported |
| 80% | “80%” | Weiss: Surfacing individual experts satisfies 80% of workplace search needs | Noah Weiss | Sep 30, 2016 | — |
| 90% | “90%” | Weiss: Roughly 90% of Slack employees previously built consumer software | Noah Weiss | Sep 30, 2016 | — |
| 10× | “10 X” | Dauber: Back 10x technical teams and figure out the market later | Mike Dauber | Sep 30, 2016 | — |
| 1.5M | “half a million” | Dauber: Portfolio AI analyzes medical cases 10% more accurately than humans | Mike Dauber | Sep 30, 2016 | — |
| 10% | “10%” | Dauber: Portfolio AI analyzes medical cases 10% more accurately than humans | Mike Dauber | Sep 30, 2016 | — |
| 1.2T | “1.2 trillion” | Narkhede: Apache Kafka powers over 1.2 trillion written messages daily at LinkedIn | Neha Narkhede | Jun 16, 2016 | Supported |
| 3.4T | “3.4 trillion” | Narkhede: Apache Kafka powers over 1.2 trillion written messages daily at LinkedIn | Neha Narkhede | Jun 16, 2016 | Supported |
| 1M | “a million” | Nguyen: In 2016, Google Brain is at the intelligence of a cockroach | Christopher Nguyen | Jun 16, 2016 | — |
| 90% | “90%” | AXA spends 90% of data project time on preparation, 10% on modeling | Louis DiModugno | May 23, 2016 | — |
| 10% | “10%” | AXA spends 90% of data project time on preparation, 10% on modeling | Louis DiModugno | May 23, 2016 | — |
| 90B | “ninety billion” | 6sense processes 90 billion behavioral signals to predict buyer intent | Amanda Kahlow | May 23, 2016 | — |
| 5% | “five percent” | Cisco's marketing-to-sales conversion rate jumped from 5% to 71% using 6sense | Amanda Kahlow | May 23, 2016 | — |
| 71% | “71%” | Cisco's marketing-to-sales conversion rate jumped from 5% to 71% using 6sense | Amanda Kahlow | May 23, 2016 | — |
| $2B | “two billion dollars” | Cisco's predictive pipeline grew from $2 billion to $7 billion | Amanda Kahlow | May 23, 2016 | — |
| $7B | “seven billion dollars” | Cisco's predictive pipeline grew from $2 billion to $7 billion | Amanda Kahlow | May 23, 2016 | — |
| 5× | “five times” | Cisco's average deal opportunity grew from $10,000 to $50,000 | Amanda Kahlow | May 23, 2016 | — |
| 4× | “four X” | BlueJeans reduced required sales touches to qualify leads from 33 to 10 | Amanda Kahlow | May 23, 2016 | — |
| 86% | “86%” | Xactly derived 86% of its pre-IPO business from 6sense predictions | Amanda Kahlow | May 23, 2016 | — |
| $1.7M | “1.7 million dollars” | 6sense intent data generated a $1.7 million Anheuser-Busch deal for Xactly | Amanda Kahlow | May 23, 2016 | — |
| 40% | “40%” | 6sense claims access to about 40% of all web search data | Amanda Kahlow | May 23, 2016 | — |
| 90% | “90%” | Nanduri estimates 90 percent of enterprise data questions are simple | Prakash Nanduri | Apr 13, 2016 | — |
| 1B | “a billion” | Nanduri notes there are currently one billion knowledge workers worldwide | Prakash Nanduri | Apr 13, 2016 | — |
| 5B | “five billion” | Nanduri predicts 2.5 billion people will be knowledge workers by 2030 | Prakash Nanduri | Apr 13, 2016 | Open |
| 80% | “80%” | Data scientists are highly-paid janitors who spend 80 percent of time munging | Prakash Nanduri | Apr 13, 2016 | — |
| 3× | “three times” | Alluxio open-source project reaches nearly 250 contributors across 50 organizations | Haoyuan Li | Apr 13, 2016 | Supported |
| 50% | “50%” | DRAM costs decrease by 50% every 18 months | Haoyuan Li | Apr 13, 2016 | Partly supported |
| 30× | “30 times” | Baidu queries data 30 times faster using Alluxio | Haoyuan Li | Apr 13, 2016 | — |
| 15× | “15 times” | Impala on Alluxio over Amazon S3 yields a 15x performance gain | Haoyuan Li | Apr 13, 2016 | — |
| 20% | “20%” | Douetteau: Algorithmic optimization accounts for only 20% of a data project | Florian Douetteau | Apr 13, 2016 | — |
| 15M | “fifteen million” | Textio collected 15 million job listings tagged with performance outcome metrics | Kieran Snyder | Mar 18, 2016 | — |
| 50% | “50%” | Job listings with over 50% bullet points significantly reduce female applicants | Kieran Snyder | Mar 18, 2016 | — |
| 100% | “100%” | 100% of Stitch Fix sales pass through its recommendation engine | Eric Colson | Mar 18, 2016 | — |
| 1% | “one percent” | No single demographic segment makes up 1% of Stitch Fix's customer base | Eric Colson | Mar 18, 2016 | — |
| 85% | “85%” | Horowitz: 85% of MongoDB's engineering team is based in New York | Eliot Horowitz | Mar 18, 2016 | — |
| 10× | “10 times” | WiredTiger storage engine made MongoDB ten times faster in version 3.0 | Eliot Horowitz | Mar 18, 2016 | Supported |
| 60% | “60%” | 60% of traditional enterprise software investment goes to sales | Peter Fenton | Mar 18, 2016 | — |
| 100B | “a hundred billion” | AWS is nearly certain to reach $100B in annual revenue | Peter Fenton | Mar 18, 2016 | Held up |
| 20% | “20%” | AWS operates at 20% operating margins | Peter Fenton | Mar 18, 2016 | Partly supported |
| 90% | “90%” | Amazon Web Services holds about 90% market share | Peter Fenton | Mar 18, 2016 | Contradicted |
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