@Qualcomm
Post
Who powers AI across every device category? Qualcomm. From smartphone and doorbells to industrial robots and datacenters, our technology enables intelligent experiences across billions of connected endpoints. https://t.co/0sRPpvi6jA
Tags
twitter-company-poststwitter_postGet every X (Twitter) signal for Qualcomm 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 Qualcomm this week?”
The Signal API returns X (Twitter) signals for any list of companies as JSON, for your CRM, warehouse or app.
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This page shows a preview. The full twitter-company-posts 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/8118e34f-e905-4e6b-8ea3-8b6727113eab returns this record as JSON. POST /v1/companies/enrich returns every signal for qualcomm.com.
{
"signal_id": "8118e34f-e905-4e6b-8ea3-8b6727113eab",
"signal_type": "twitter-company-posts",
"signal_subtype": "twitter_post",
"detected_at": "2026-08-17T16:10:39.399+00:00",
"company": {
"name": "Qualcomm",
"domain": "qualcomm.com"
},
"data": {
"tags": [
"Artificial Intelligence",
"IoT",
"Robotics",
"Digital Technology"
],
"summary": "Qualcomm highlights its role in powering AI across various device categories, from smartphones to datacenters.",
"is_reply": false,
"language": "en",
"post_url": "https://x.com/Qualcomm/status/2089366765088149507",
"tweet_id": "2089366765088149507",
"num_likes": 12,
"num_views": 1237,
"post_text": "Who powers AI across every device category? Qualcomm. From smartphone and doorbells to industrial robots and datacenters, our technology enables intelligent experiences across billions of connected endpoints. https://t.co/0sRPpvi6jA",
"num_quotes": 1,
"num_replies": 0,
"num_reposts": 2,
"posted_date": "Mon Aug 17 15:00:30 +0000 2026",
"num_bookmarks": 0,
"posting_source": "Twitter for iPhone",
"company_twitter_url": "https://x.com/Qualcomm",
"company_twitter_handle": "Qualcomm",
"company_twitter_dm_open": true,
"company_twitter_location": "San Diego, CA",
"company_twitter_verified": false,
"company_twitter_followers": 441546,
"company_twitter_following": 11419,
"company_twitter_total_tweets": 18384,
"company_twitter_account_created": "Fri Oct 23 15:55:15 +0000 2009",
"company_twitter_verification_type": "Business"
}
}
curl https://signals.autobound.ai/v1/signals/8118e34f-e905-4e6b-8ea3-8b6727113eab \
-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":"qualcomm.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.