The company operates a sophisticated data stack with a stated need to "move quickly on data enrichment." This reliance on large-scale, open-source data systems for collection and processing indicates ongoing investment in data engineering, infrastructure, and analytics capabilities to support their AI-driven platform.
Filing excerpt
We utilize a variety of open-source distributed systems including HBase, Kafka, Vitess, and Elasticsearch to scale our data collection and processing.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kdataInvestmentGet every 10-K signal for HubSpot and the companies you sell to, in the tools you already use.
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This page shows a preview. The full sec-10k 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/7f4a56bc-de80-4f52-baef-ce9c7d999801 returns this record as JSON. POST /v1/companies/enrich returns every signal for hubspot.com.
{
"signal_id": "7f4a56bc-de80-4f52-baef-ce9c7d999801",
"signal_type": "sec-10k",
"signal_subtype": "dataInvestment",
"detected_at": "2026-02-17T06:33:56.492+00:00",
"company": {
"name": "HubSpot",
"domain": "hubspot.com"
},
"data": {
"detail": "The company operates a sophisticated data stack with a stated need to \"move quickly on data enrichment.\" This reliance on large-scale, open-source data systems for collection and processing indicates ongoing investment in data engineering, infrastructure, and analytics capabilities to support their AI-driven platform.",
"summary": "HubSpot scales its data platform using HBase, Kafka, Vitess, and Elasticsearch to process billions of data points.",
"excerpts": "We utilize a variety of open-source distributed systems including HBase, Kafka, Vitess, and Elasticsearch to scale our data collection and processing.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1404655/000119312526046646/hubs-20251231.htm",
"filing_date": "2026-02-11",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for data vendors",
"signal_category": "technology",
"technologies_mentioned": [
"HBase",
"Kafka",
"Vitess",
"Elasticsearch",
"microservices"
]
}
}
curl https://signals.autobound.ai/v1/signals/7f4a56bc-de80-4f52-baef-ce9c7d999801 \
-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":"hubspot.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.