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HPX (Twitter)

HP deployed a hybrid-edge AI strategy, resulting in a 38% productivity increase and 4 hours saved per employee weekly.

Source: Autobound Signal API · 119 signals tracked for HP · updated

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AskWhat changed at HP this week? Use Autobound signals for hp.com.

Source

XSep 29, 2026

@HP

likes
24
replies
17
reposts
5
quotes
2
views
13,332
bookmarks
4

Post

HP deployed a hybrid-edge AI strategy across 50,000 employees and 80,000 devices, bringing AI closer to where work happens instead of relying solely on the cloud. The result: a 38% increase in productivity, 4 hours saved per employee each week, and a proven blueprint for scaling AI across the enterprise. It's a powerful example of how AI delivers real value when it's designed around people, helping them work smarter, streamline everyday tasks, and focus on what matters most. Read the case study here: https://t.co/quesgUBrZi

x.com/HP/status/2104969717299421427Read the full source

Extracted by Autobound

From the Signal API record
Signal
X (Twitter)
Account
@HP
Account location
USA

More X (Twitter) signals at other companies

The full record

From the Signal API record

Details

Handle
HP
Verified account
Yes
Followers
1,087,321

Topics and mentions

Tags

  • Artificial Intelligence
  • Productivity
  • Digital Transformation
  • Enterprise Software
  • Cloud

Urls

  • https://hp.social/6018acaKC

Extraction

Detected
Sep 29, 2026
signal_type
twitter-company-posts
signal_subtype
twitter_post

Use this data

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The API returns more than this page shows

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 API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/b24ff24c-8454-4fa7-9ce5-7815bfa4ecf7 returns this record as JSON. POST /v1/companies/enrich returns every signal for hp.com.

{
  "signal_id": "b24ff24c-8454-4fa7-9ce5-7815bfa4ecf7",
  "signal_type": "twitter-company-posts",
  "signal_subtype": "twitter_post",
  "detected_at": "2026-09-29T16:21:03+00:00",
  "company": {
    "name": "HP",
    "domain": "hp.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Productivity",
      "Digital Transformation",
      "Cloud",
      "Enterprise Software"
    ],
    "urls": [
      "https://hp.social/6018acaKC"
    ],
    "summary": "HP deployed a hybrid-edge AI strategy, resulting in a 38% productivity increase and 4 hours saved per employee weekly.",
    "is_reply": false,
    "language": "en",
    "post_url": "https://x.com/HP/status/2104969717299421427",
    "tweet_id": "2104969717299421427",
    "num_likes": 24,
    "num_views": 13332,
    "post_text": "HP deployed a hybrid-edge AI strategy across 50,000 employees and 80,000 devices, bringing AI closer to where work happens instead of relying solely on the cloud.\n \nThe result: a 38% increase in productivity, 4 hours saved per employee each week, and a proven blueprint for scaling AI across the enterprise.\n \nIt's a powerful example of how AI delivers real value when it's designed around people, helping them work smarter, streamline everyday tasks, and focus on what matters most.\n \nRead the case study here: https://t.co/quesgUBrZi",
    "num_quotes": 2,
    "num_replies": 17,
    "num_reposts": 5,
    "posted_date": "Tue Sep 29 16:21:03 +0000 2026",
    "num_bookmarks": 4,
    "company_twitter_bio": "HP, for your best work.\nLooking for support? Tweet: @HPSupport",
    "company_twitter_url": "https://x.com/HP",
    "company_twitter_handle": "HP",
    "company_twitter_location": "USA",
    "company_twitter_verified": true,
    "company_twitter_followers": 1087321,
    "company_twitter_following": 90,
    "company_twitter_total_tweets": 69789,
    "company_twitter_account_created": "Wed Nov 05 18:01:46 +0000 2008",
    "company_twitter_verification_type": "Business"
  }
}

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