What was said
in coding, we're actually seeing this with Cursor a ton where you want to do a very frontier model for planning, for example, but then you can use a lesser model for execution. And you really need to have one product harness or sort of product architecture that lets you use multiple models.
“in coding, we're actually seeing this with Cursor a ton where you want to do a very frontier model for planning, for example, but then you can use a lesser model for execution. And you really need to have one product harness or sort of product architecture that lets you use multiple models.”
Anish AcharyaThe a16z ShowView
What this signalsWhat leaders say on podcasts often shows their current priorities.
podcast-companyindustryPredictionGet every podcast signal for Cursor and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Cursor this week?”
The Signal API returns podcast signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
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/3ff2da98-33fa-5734-9de8-49e9cef556aa returns this record as JSON. POST /v1/companies/enrich returns every signal for cursor.com.
{
"signal_id": "3ff2da98-33fa-5734-9de8-49e9cef556aa",
"signal_type": "podcast-company",
"signal_subtype": "industryPrediction",
"detected_at": "2026-09-02T22:00:30+00:00",
"company": {
"name": "Cursor",
"domain": "cursor.com"
},
"data": {
"is_ad": false,
"quotes": [
"in coding, we're actually seeing this with Cursor a ton where you want to do a very frontier model for planning, for example, but then you can use a lesser model for execution. And you really need to have one product harness or sort of product architecture that lets you use multiple models."
],
"timing": "ongoing_state",
"speaker": "Anish Acharya",
"evidence": "in coding, we're actually seeing this with Cursor a ton where you want to do a very frontier model for planning, for example, but then you can use a lesser model for execution. And you really need to have one product harness or sort of product architecture that lets you use multiple models.",
"headline": "Cursor · industryPrediction · ongoing_state (2026-08)",
"episode_id": "59523245441",
"event_date": "2026-08",
"episode_url": "https://a16z.simplecast.com/episodes/the-state-of-ai-macro-apps-and-consumer-0SpxP4t2",
"podcast_name": "The a16z Show",
"published_at": "2026-08-26",
"episode_title": "The State of AI: Macro, Apps, and Consumer",
"date_confidence": "inferred",
"speaker_relation": "third_party",
"transcript_source": "transcript",
"recorded_at_estimate": "2026-08"
}
}
curl https://signals.autobound.ai/v1/signals/3ff2da98-33fa-5734-9de8-49e9cef556aa \
-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":"cursor.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.