Elena Burger

Editorial Partner, New Media, Andreessen Horowitz · 4 appearances on the record.

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

hostauthorinvestor@VirtualElena ↗virtualelena.substack.com ↗

Elena Burger is an Editorial Partner in New Media at Andreessen Horowitz, where she hosts discussions on enterprise software and AI. She previously served as an investment deal partner on the a16z crypto team and writes the newsletter Virtual Elena.

1statements → 1claims → 0claims resolved → 4/5average certainty → 1/5average debate potential →

1 not checkable as stated how the 1 claim stands · each chip opens the sources

1 assertion · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 0 are resolved, and 1 names 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 Elena 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? →

215 words/min while actually speaking · 21.1 um and uh per 1k words

No argument clarity score for Elena Burger: 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: 2,932 words across 3 episodes 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 Elena Burger said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
Burger: vLLM Runs on 500,000 GPUs at Any Moment
“Today we're here with Simon Moe, co-founder of Infraact, and a lead maintainer of VLLM, the open source inference engine, now running on half a million GPUs at any moment.”
Elena Burger Aug 5, 2026 ▶ 1:01 How Open Source Became AI's Backbone | Inferact with a16z

Appearances (4)

EpisodeDateSpeaking time
The Opportunity for Global Founders Aug 20, 2026 7m
Lighthouse or Landgrab? How to Pick Your AI Sales Strategy Aug 12, 2026 3m
How Open Source Became AI's Backbone | Inferact with a16z Aug 5, 2026 6m
Software in the Age of Agents | The a16z Show Jul 7, 2026 5m
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