Conference Speaker Intelligence

Overview

Conference Speaker Intelligence identifies individuals who presented at tech conferences, providing actionable B2B signals about which companies are investing in developer relations, thought leadership, and community engagement. A company sending engineers to speak at KubeCon or SmashingConf is actively building in that domain, has event budget, and is signaling technical direction.

We aggregate conferences monthly from confs.tech and developers.events, covering 18+ technology topics and ~5,400 events/year. Each speaker is extracted via structured feeds (Sessionize) or agentic LLM crawling, then enriched with company domain resolution and contact data from our Salutary dataset.

Signal Subtypes

Signal	Subtype Enum	Description
Conference Speaker	`conferenceSpeaker`	Individual who presented at a tech conference

Schema

{
  "signal_id": "confspeaker-smashingconf-amsterdam-tj-pitre",
  "signal_type": "conference-speaker",
  "signal_subtype": "conferenceSpeaker",
  "association": "contact",
  "detected_at": "2026-04-29T16:55:47Z",
  "company": {
    "name": "Southleft",
    "domain": "southleft.com",
    "industries": ["Design", "Software Development"]
  },
  "contact": {
    "name": "TJ Pitre",
    "title": "Founder and CEO",
    "linkedin_url": "https://www.linkedin.com/in/tpitre",
    "email": "[email protected]"
  },
  "data": {
    "conference_name": "SmashingConf Amsterdam 2026",
    "conference_url": "https://smashingconf.com/amsterdam-2026",
    "conference_date": "2026-04-13",
    "conference_end_date": "2026-04-16",
    "conference_location": "Amsterdam, Netherlands",
    "conference_topics": ["UX", "design", "CSS", "accessibility", "design systems", "AI", "front-end"],
    "conference_estimated_size": "550",
    "session_title": "AI Without the Chaos: Context-Based Design Systems in Practice",
    "session_description": "AI is powerful, fast, and exceptionally good at exposing cracks in how teams design and build products. Without structure, it amplifies confusion instead of clarity. In this talk, TJ shares recent, real-world experiences working with AI and design systems in production environments.",
    "session_type": "talk",
    "session_track": "Design Systems",
    "session_recording_url": null,
    "co_speakers": [],
    "speaker_bio": "TJ Pitre is the Founder and CEO of Southleft, a front-end design and development agency specializing in design systems and AI-driven product workflows. He works with teams to bridge design and engineering using structured context, modern tooling, and practical experimentation.",
    "relevance_score": 0.82,
    "extraction_method": "llm-speakers_list+bio",
    "extraction_confidence": "high",
    "contact_resolved": true,
    "resolution_source": "salutary_2026q2"
  }
}

Field Reference

Core Fields

Field	Type	Description
`signal_id`	string	Unique identifier (`confspeaker-{conference-slug}-{speaker-slug}`)
`signal_type`	string	Always `"conference-speaker"`
`signal_subtype`	string	Always `"conferenceSpeaker"`
`detected_at`	string (ISO 8601)	When this signal was generated
`association`	string	Always `"contact"`

Company Object

Field	Type	Description
`company.name`	string	Speaker's employer
`company.domain`	string	Company website domain (resolved via Clearbit)
`company.industries`	array[string]	Industry classifications

Contact Object

Field	Type	Description
`contact.name`	string	Speaker's full name
`contact.title`	string	Job title (from conference bio or Salutary enrichment)
`contact.linkedin_url`	string \| null	LinkedIn profile URL
`contact.email`	string \| null	Work email (from Salutary enrichment)

Data Object

Field	Type	Description
`conference_name`	string	Full conference name
`conference_url`	string	Conference website URL
`conference_date`	string (YYYY-MM-DD)	Event start date
`conference_end_date`	string (YYYY-MM-DD)	Event end date
`conference_location`	string	Event location
`conference_topics`	array[string]	Conference topic tags
`conference_estimated_size`	string	Expected attendance
`session_title`	string	Title of the speaker's talk
`session_description`	string	Talk abstract or description
`session_type`	string	One of: `keynote`, `talk`, `workshop`, `panel`, `lightning_talk`, `fireside_chat`, `tutorial`, `other`
`session_track`	string \| null	Conference track or category
`session_recording_url`	string \| null	Link to recorded talk (YouTube, etc.)
`co_speakers`	array[object] \| null	Other speakers in the same session
`co_speakers[].name`	string	Co-speaker name
`co_speakers[].company`	string \| null	Co-speaker company
`co_speakers[].company_domain`	string \| null	Co-speaker company domain
`co_speakers[].linkedin_url`	string \| null	Co-speaker LinkedIn
`speaker_bio`	string	Speaker biography from conference site
`relevance_score`	float (0-1)	Composite B2B relevance score
`extraction_method`	string	How speaker data was extracted (e.g., `sessionize`, `llm-speakers_list+bio`)
`extraction_confidence`	string	`high`, `medium`, or `low`
`contact_resolved`	boolean	Whether contact was matched in Salutary dataset
`resolution_source`	string \| null	Enrichment source (e.g., `salutary_2026q2`)

Relevance Score Breakdown

The relevance_score is a weighted composite:

Factor	Weight	Scoring
Session type	40%	keynote=1.0, talk=0.8, workshop=0.7, panel=0.6, fireside_chat=0.5, tutorial=0.4, lightning_talk=0.3, other=0.2
Conference size	30%	Based on estimated attendance
Solo speaker	15%	Solo presentations score higher than co-presented sessions
Contact resolved	15%	Bonus when Salutary match is found

Delivery

Detail	Value
GCS Bucket	`gs://autobound-conference-speaker/`
Refresh	Monthly (1st of month)
Format	JSONL + Parquet
Expected Volume	2,000-4,000 signals/month, 800-1,500 unique companies

Topics Covered

We monitor conferences across 18+ technology topics including: JavaScript, TypeScript, Python, Go, Rust, DevOps, Data, Security, UX, iOS, Android, .NET, Java, Ruby, PHP, Leadership, and more.

Replaces Conference & CFP Events. This signal supersedes the previous conference-cfp signal type, which tracked open calls-for-papers. Conference Speaker Intelligence focuses on who actually presented — a far more actionable signal for sales teams.

Contact [email protected] to get started.