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Todd Papaioannou

Partner, Bain & Company · 1 appearance on the record.

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

founderexecutiveinvestor

He was the co-founder and founding CEO of Continuuity, later rebranded to Cask and acquired by Google. He previously served as Chief Technology Officer at Splunk, Chief Cloud Architect at Yahoo, and CEO of Edgeworx.

10statements → 5claims → 1claims resolved → 3.8/5average certainty → 2.3/5average debate potential →

1 supported 0 partly supported 0 contradicted 4 not checkable as stated how the 5 claims stand · each chip opens the sources

1 prediction · 4 assertions · 1 opinion · 3 insights · 1 disclosure · every statement was checked. The prediction and assertions are the 5 claims: statements the public record can support or contradict. 1 is resolved, and 4 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 Todd argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Facebook built Hive to provide a SQL interface on Hadoop
“Facebook built Hive, right, because they needed a tool to sit on top of Hadoop, you know, to allow their business analysts to kind of sequel interface to this big data platform.”
Todd Papaioannou Dec 5, 2013 ▶ 20:08 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012

How they sound: speaking style how? →

287 words/min while actually speaking · 19.2 um and uh per 1k words

No argument clarity score for Todd Papaioannou: no usable question→answer exchanges 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: 3,333 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 Todd Papaioannou said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
In 2012, Papaioannou predicted easy data tools for non-programmers by 2019
“And I think it's going to take us, like I said, five to seven years until we get to the point where you don't have to be a programmer who understands Python or R or, you know, pick your favorite, you know, language. So actually go and get that insight.”
Todd Papaioannou Dec 5, 2013 ▶ 41:16 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Launching a startup as a VC EIR beats self-funding
“The best way to launch a company is not to do it on your kitchen table or in your front room with seven guys that you fly over from Europe. It's to have a VC pay you to go and launch a company.”
Todd Papaioannou Dec 5, 2013 ▶ 6:59 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Founders should make their operational mistakes using investor capital
“One of the lessons I learned is that you know, it's always better to make mistakes and learn things on other people's money, right?”
Todd Papaioannou Dec 5, 2013 ▶ 7:12 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Assertion Not checkable as stated
Yahoo drove a 300% CTR lift by combining algorithms with human editors
“Once we moved it all to algorithm and had editors just use their, you know, what humans are good at, which is this kind of like, you know, just being able to do correlations that the algorithms maybe didn't, we were able to drive like a 300% improvement in cli…”
Todd Papaioannou Dec 5, 2013 ▶ 27:45 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Opinion
Anonymized healthcare data should be made openly available for research
“I would love it in this kind of, like, altruistic world if all Healthcare data, anonymized healthcare data, was made available for researchers and people to actually build applications on top of, because just imagine the efficiencies and benefits you could get…”
Todd Papaioannou Dec 5, 2013 ▶ 36:21 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Data cubes only answer the questions users already know to ask
“Cubes are basically like answers to questions you already knew.”
Todd Papaioannou Dec 5, 2013 ▶ 40:57 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Assertion Not checkable as stated
Papaioannou in 2012: HDFS will scale forever for most companies
“HDFS, which will scale forever for probably like 99.9% of the companies on the planet. They're just never going to run out of space, you know, to put data into it.”
Todd Papaioannou Dec 5, 2013 ▶ 15:08 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Disclosure
Yahoo open-sourced infrastructure because its competitive advantage was in applications
“And so this is actually at Yahoo, a very distinctive strategy that we adopted in the global cloud computing group, which to say, we will open source all of our infrastructure because it's not a core competitive advantage to us. The applications and the secret …”
Todd Papaioannou Dec 5, 2013 ▶ 21:03 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Assertion Not checkable as stated
Yahoo had 200 petabytes of data when Todd Papaioannou left
“At Yahoo, when I left, we had 200 petabytes of data that we used to, you know, build models and do personalization and scoring and ranking and all of that stuff.”
Todd Papaioannou Dec 5, 2013 ▶ 10:56 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Assertion Supported
Facebook built Hive to provide a SQL interface on Hadoop
“Facebook built Hive, right, because they needed a tool to sit on top of Hadoop, you know, to allow their business analysts to kind of sequel interface to this big data platform.”
Todd Papaioannou Dec 5, 2013 ▶ 20:08 Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012

Appearances (1)

EpisodeDateSpeaking time
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012 Dec 5, 2013 13m
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