Ping Li

Partner, Accel · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

investoroperatorexecutiveaccel.com/people/ping-li ↗

Since joining Accel in 2004, he has led investments in enterprise business software, cloud-native infrastructure, AI, and cybersecurity. He previously managed Accel's Big Data Fund and backed companies including Cloudera, Sumo Logic, Sysdig, Snyk, and Tenable.

4statements → 2claims → 0claims resolved → 3.75/5average certainty → 2.75/5average debate potential → 1said about them ↓

2 not checkable as stated how the 2 claims stand · each chip opens the sources

2 predictions · 2 opinions · every statement was checked. The predictions and assertions are the 2 claims: statements the public record can support or contradict. 0 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Ping argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

287 words/min while actually speaking · 20.2 um and uh per 1k words

No argument clarity score for Ping Li: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,220 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Ping Li said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion
Ping Li: Incumbent enterprise tech vendors haven't innovated in a decade
“It's such a great time to be a startup right now because the incumbents are so far behind. They have not innovated, ah, in the last decade. And any of the big data dimensions are the applications, storage, the data layers.”
Ping Li Dec 5, 2013 ▶ 21:50 Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
Opinion
Ping Li: The tech market does not need 10 more Hadoop infrastructure startups
“The world doesn't need You know, another 10 companies trying to solve the problems of Hadoop.”
Ping Li Dec 5, 2013 ▶ 50:09 Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
Prediction Not checkable as stated
Ping Li: Hadoop will be a definitive platform for big data workloads
“Hadoop I think will be a definitive platform for a lot of big data workloads.”
Ping Li Dec 5, 2013 ▶ 38:13 Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
Prediction Not checkable as stated
Ping Li: Enterprise data applications are moving irreversibly to the cloud
“I do think that the trend line is towards the cloud. You know, if you look at where applications are getting launched these days and where the data resides, they're not going to pull that back into the, Four walls to do their data munging, right? They're gonna…”
Ping Li Dec 5, 2013 ▶ 1:00:55 Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012

The other half of the tape: Ping Li's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the MAD Podcast. every mention, with the transcript →

Who brings them up most Matt Turck 1

Every mention by year

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Appearances (1)

EpisodeDateSpeaking time
Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct Dec 5, 2013 13m
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