Post
Don’t just learn about real-time pipelines. Build one of your own in our hands-on workshop! You’ll learn how to: 🔵 Spin up an Apache Kafka cluster in Confluent Cloud 🔵 Manage formats with Schema Registry 🔵 Write Flink SQL to clean & enrich event streams Walk away with working pipelines and production-ready skills. Sign up: https://ibm.co/6040ERyAn
What this signalsCompany posts often show what the team is pushing right now.
Tags
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Technologies named
linkedin-post-companylinkedinPostGet every LinkedIn signal for Confluent 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 Confluent this week?”
The Signal API returns LinkedIn 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 linkedin-post-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/9304edba-4281-45f6-8867-0c569fba3d56 returns this record as JSON. POST /v1/companies/enrich returns every signal for confluent.io.
{
"signal_id": "9304edba-4281-45f6-8867-0c569fba3d56",
"signal_type": "linkedin-post-company",
"signal_subtype": "linkedinPost",
"detected_at": "2026-08-13T10:11:24.979+00:00",
"company": {
"name": "Confluent",
"domain": "confluent.io"
},
"data": {
"tags": [
"Data Management",
"Data Warehousing",
"Implementation",
"Training"
],
"summary": "Confluent Cloud offers a workshop to build real-time pipelines using Kafka, Schema Registry, and Flink SQL.",
"post_url": "https://www.linkedin.com/posts/confluent_dont-just-learn-about-real-time-pipelines-activity-7492988209145032704-8k5J",
"num_likes": 9,
"post_text": "Don’t just learn about real-time pipelines. Build one of your own in our hands-on workshop!\nYou’ll learn how to:\n\n🔵 Spin up an Apache Kafka cluster in Confluent Cloud\n🔵 Manage formats with Schema Registry\n🔵 Write Flink SQL to clean & enrich event streams\n\nWalk away with working pipelines and production-ready skills. Sign up: https://ibm.co/6040ERyAn",
"initiatives": [
{
"topic": "build real-time data pipelines workshop",
"urgency": 0.85
}
],
"posted_date": "2026-08-11T17:00:02.049Z",
"num_comments": 0,
"technologies_mentioned": [
{
"name": "Apache Kafka",
"status": "using"
},
{
"name": "Confluent Cloud",
"status": "using"
},
{
"name": "Schema Registry",
"status": "using"
},
{
"name": "Flink SQL",
"status": "using"
}
]
}
}
curl https://signals.autobound.ai/v1/signals/9304edba-4281-45f6-8867-0c569fba3d56 \
-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":"confluent.io","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.