Akilesh Bapu
Head of AI Product Development, Hightouch · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
founderexecutiveengineer@akileshbapu ↗LinkedIn ↗akile.sh ↗
Akilesh Bapu co-founded DeepScribe, an ambient AI medical scribe platform that generates structured EHR clinical notes to address physician burnout. He studied Electrical Engineering and Computer Sciences at UC Berkeley before leaving the master's program to lead the venture-backed company.
0 supported 2 partly supported 0 contradicted 6 not checkable as stated how the 8 claims stand · each chip opens the sources
2 predictions · 6 assertions · 1 insight · 7 disclosures · every statement was checked. The predictions and assertions are the 8 claims: statements the public record can support or contradict. 2 are resolved, and 6 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 Akilesh argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
Argument clarity: do they answer the question? how? →
answered every one of 8 assessed questions directly
This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →
How they sound: speaking style how? →
263 words/min while actually speaking · 60.8 um and uh per 1k words
Measured by listening to the audio itself: 5,117 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 Akilesh Bapu said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| AI Medical Scribe Breakthrough: DeepScribe CEO Akilesh Bapu on Healing Doctor Burnout | Nov 17, 2023 | 25m |