M&A Access Podcast
What was said
Then at McKinsey, you realize that even at partner level, you have this type of problems. So I decided that there definitely should be ways how to work with the client data, how to run analysis without spending the precious time of experts in this field on actually crunching the Excels.
“Then at McKinsey, you realize that even at partner level, you have this type of problems. So I decided that there definitely should be ways how to work with the client data, how to run analysis without spending the precious time of experts in this field on actually crunching the Excels.”
Nikita KomarovM&A Access PodcastView
What this signalsWhat leaders say on podcasts often shows their current priorities.
podcast-companypainPointDisclosedGet every podcast signal for McKinsey and the companies you sell to, in the tools you already use.
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This page shows a preview. The full podcast-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/1956eeb8-33d9-574f-898d-f0292b598ccb returns this record as JSON. POST /v1/companies/enrich returns every signal for mckinsey.com.
{
"signal_id": "1956eeb8-33d9-574f-898d-f0292b598ccb",
"signal_type": "podcast-company",
"signal_subtype": "painPointDisclosed",
"detected_at": "2026-09-07T04:03:48+00:00",
"company": {
"name": "McKinsey",
"domain": "mckinsey.com"
},
"data": {
"is_ad": false,
"quotes": [
"Then at McKinsey, you realize that even at partner level, you have this type of problems. So I decided that there definitely should be ways how to work with the client data, how to run analysis without spending the precious time of experts in this field on actually crunching the Excels."
],
"timing": "ongoing_state",
"speaker": "Nikita Komarov",
"evidence": "Then at McKinsey, you realize that even at partner level, you have this type of problems. So I decided that there definitely should be ways how to work with the client data, how to run analysis without spending the precious time of experts in this field on actually crunching the Excels.",
"headline": "McKinsey & Company · painPoint · ongoing_state (2026-08)",
"episode_id": "59885482916",
"event_date": "2026-08",
"episode_url": "https://ma-access-podcast.captivate.fm",
"podcast_name": "M&A Access Podcast",
"published_at": "2026-09-03",
"episode_title": "AI Revolutionizing Financial Due Diligence | Nikita Komarov",
"date_confidence": "inferred",
"speaker_relation": "third_party",
"transcript_source": "transcript",
"recorded_at_estimate": "2026-08"
}
}
curl https://signals.autobound.ai/v1/signals/1956eeb8-33d9-574f-898d-f0292b598ccb \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"mckinsey.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.