Post
Devin now natively supports GitHub Stacked PRs. ▪︎ Break down large changes into smaller, reviewable diffs ▪︎ Address and fix comments across stacks ▪︎ Automatically rebase downstream changes Live today in Devin and Devin Review.
What this signalsCompany posts often show what the team is pushing right now.
Tags
Initiatives
Pain points
Technologies named
linkedin-post-companylinkedinPostGet every LinkedIn signal for Cognition and the companies you sell to, in the tools you already use.
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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/61982037-b9bc-4a15-af28-7feaa6187bd1 returns this record as JSON. POST /v1/companies/enrich returns every signal for cognition.ai.
{
"signal_id": "61982037-b9bc-4a15-af28-7feaa6187bd1",
"signal_type": "linkedin-post-company",
"signal_subtype": "linkedinPost",
"detected_at": "2026-08-13T11:51:56.549+00:00",
"company": {
"name": "Cognition",
"domain": "cognition.ai"
},
"data": {
"tags": [
"DevOps",
"Product Development",
"Collaboration / Web Apps"
],
"summary": "Cognition announces Devin now natively supports GitHub Stacked PRs for improved code review.",
"post_url": "https://www.linkedin.com/posts/cognition-ai-labs_devin-now-natively-supports-github-stacked-activity-7488637860951097346-EqmE",
"num_likes": 151,
"post_text": "Devin now natively supports GitHub Stacked PRs.\n\n▪︎ Break down large changes into smaller, reviewable diffs\n▪︎ Address and fix comments across stacks\n▪︎ Automatically rebase downstream changes\n\nLive today in Devin and Devin Review.",
"initiatives": [
{
"topic": "integrating GitHub Stacked PR support into Devin",
"urgency": 0.8
}
],
"pain_points": [
{
"topic": "difficulty reviewing large code changes",
"intensity": 0.5
},
{
"topic": "challenges addressing comments across PR stacks",
"intensity": 0.4
},
{
"topic": "complexity of rebasing downstream changes",
"intensity": 0.4
}
],
"posted_date": "2026-07-30T16:53:18.214Z",
"num_comments": 5,
"technologies_mentioned": [
{
"name": "GitHub Stacked PRs",
"status": "implemented"
}
]
}
}
curl https://signals.autobound.ai/v1/signals/61982037-b9bc-4a15-af28-7feaa6187bd1 \
-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":"cognition.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.