DeveloperWeek
Karan Ganesan (Founding Engineer, Luma AI) at DeveloperWeek.
Source: Autobound Signal API · 59 signals tracked for Luma AI · updated
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What changed at Luma AI this week? Use Autobound signals for luma.ai.Source
Extracted by Autobound
From the Signal API record- Signal
- Conference talks
- Domain
- via lumalabs.ai
- Conference
- DeveloperWeek
- Date
- Feb 18, 2026
- Location
- San Jose, CA, U.S.A.
More from Luma AI
- Product reviewsSmall-Business Owner frustrated by poor image quality, unusable footage, and failed AI editing tasksProduct reviews
- Web trafficlumalabs.ai shows sustained decline with 3 consecutive months of decreases, down 19% overall to 2M.Web traffic
- RedditAn ecommerce practitioner praises Luma AI (lumalabs.ai) as their preferred platform for rapidly generating multi-variant image edits from existing assets.Reddit
- LinkedInLuma introduces Product Shots, enabling creative teams to reuse existing product shots in new campaign settings.LinkedIn
- GlassdoorCompany cited as small lab with resource constraints and strong research teamGlassdoor
- PodcastsTank Talks By Ripple Ventures discusses Luma AI: pain point disclosedPodcasts
More conference speaker signals at other companies
- Conference talksAkamaiPaweł Sułkowski (Senior Manager Site Reliability Engineering, Akamai Technologies) at Cloud Native Days Poland 2026.Conference talks
- Conference talksCiscoJonathan Bugeja (Cloud Engineering Leader, Cisco) at AWS Community Day Adria 2026.Conference talks
- Conference talksDeloitteEster Viznerova (Senior Manager, AI & Data, Deloitte) at AWS Community Day Adria 2026.Conference talks
The full record
From the Signal API recordPeople
- Karan GanesanFounding Engineer, Luma AI · Speaker
Details
- Conference ends
- Feb 20, 2026
Topics and mentions
Conference topics
- general
Extraction
- Confidence
- High
- Relevance
- 65%
- Detected
- Feb 28, 2026
- signal_type
conference-speaker- signal_subtype
conferenceSpeaker
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The API returns more than this page shows
This page shows a preview. The full conference-speaker record in the Signal API and MCP can also have these 19 fields. Some fields are empty for some signals.
Contact
full_nameValue in the APIjob_titleValue in the APIlinkedin_urlValue in the APIemailValue in the APIfirst_nameValue in the APIlast_nameValue in the APIcityValue in the APIstateValue in the APIcountryValue in the APIseniorityValue in the API
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the API
Signal
signal_nameValue in the APIassociationValue in the API
And 1 more fields.
Show the full JSONHide the full JSONThe record on this page and the API request
GET /v1/signals/214fd70e-03c0-52a2-ae15-41170824b674 returns this record as JSON. POST /v1/companies/enrich returns every signal for luma.ai.
{
"signal_id": "214fd70e-03c0-52a2-ae15-41170824b674",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-02-28T00:00:00+00:00",
"company": {
"name": "Luma AI",
"domain": "lumalabs.ai"
},
"data": {
"summary": "Karan Ganesan (Founding Engineer, Luma AI) at DeveloperWeek.",
"relevance": 0.65,
"confidence": "high",
"speaker_bio": "Karan Ganesan is a founding engineer at Luma AI, where he works at the intersection of generative AI, video, and 3D systems. He has helped build and scale core products behind Luma’s platforms, including early versions of Dream Machine, generative 3D and video APIs, and the web infrastructure used across Luma’s consumer and enterprise offerings. Luma’s products today serve tens of millions of users worldwide. At Luma, Karan has led development across web platforms, backend systems, and developer",
"conference_url": "https://www.developerweek.com",
"conference_date": "2026-02-18",
"conference_name": "DeveloperWeek",
"contact_resolved": false,
"conference_topics": [
"general"
],
"domain_match_score": 10,
"conference_end_date": "2026-02-20",
"conference_location": "San Jose, CA, U.S.A.",
"domain_match_confidence": "high"
}
}
curl https://signals.autobound.ai/v1/signals/214fd70e-03c0-52a2-ae15-41170824b674 \
-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":"luma.ai","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.