Social Intelligence
Reddit Signals
Typed B2B signals from 500+ hand-vetted business communities. Pricing revolts, outages, layoffs, and switch announcements, each with verbatim quotes, a resolved company domain, and an honest evidence-strength label. New signals land weekly.
Vetted Communities
Signal Subtypes
Refresh Cadence
Candidates Rejected in Triage
What Are Reddit Signals?
Reddit signals turn threads from 500+ hand-vetted business communities, places like r/sysadmin, r/msp, and r/vmware, into typed B2B records your team can act on. AI reads every qualifying thread, extracts the event, classifies it into one of 15 subtypes (customerFeedback, buyingIntent, techAdoption, serviceOutage, pricingChange, and more), and resolves the company being discussed to a verified domain. No provable match, no record. The community list itself is earned: 1,300+ candidate subreddits were probed with live AI triage and 59% were rejected.
Every signal ships with verbatim quotes and a link to the source thread, so every claim is one click from its evidence. Reddit ranges from 'I watched it happen' to 'my cousin heard a rumor,' and the data doesn't flatten that: each record carries an evidence stage (speculative → rumored → reported → confirmed) and a prominence label (core or aside). Set your floor at 'reported' and rumors never touch your pipeline. Signals come in company and contact flavors, with named executives resolved to LinkedIn profiles, and each record keeps a stable ID that updates in place as evidence strengthens. Independent AI audits gate every weekly batch before it ships.
Example Signal Subtypes
Data Schema
Reddit Signal Data Schema
Reddit signals are typed records with subtype, evidence stage, prominence, sentiment, verbatim quotes, and a resolved company. This example is a real customerFeedback signal from a production run.
{
"signal_id": "c7d41f2a-93b6-4e0d-8a5f-1b2e3c4d5e6f",
"batch_id": "2026-09-15-00-00-00",
"signal_type": "reddit-company",
"signal_subtype": "customerFeedback",
"detected_at": "2026-09-12T07: 31: 02Z",
"association": "company",
"company": {
"name": "Grammarly",
"domain": "grammarly.com", // match on domain
"linkedin_url": "linkedin.com/company/grammarly", // or match on LinkedIn URL
"industries": ["Software Development"],
"employee_count_low": 501,
"employee_count_high": 1000,
"description": "AI-powered writing assistance platform..."
},
"contact": [],
"data": {
"summary": "An enterprise rolled out Grammarly without notice, triggering a leadership mandate to remove it from all endpoints and expedite licensing and training for Microsoft Copilot instead.",
"stage": "switched", // evidence ladder: speculative -> rumored -> reported -> confirmed (+ switched for completed moves)
"prominence": "core", // core = the thread's subject, aside = passing mention
"sentiment": "negative",
"quotes": [
"They didn't give us a heads up - just started carpet bombing everyone.",
"leadership wanted the emails nuked, apps ripped off endpoints, and licensing/training for Copilot expedited."
],
"other_companies": [
{ "name": "Microsoft", "role": "switching_to" }
],
"subreddit": "r/sysadmin",
"source_url": "https://www.reddit.com/r/sysadmin/comments/...",
"post_date": "2026-09-10T18: 12: 44Z"
}
}- GCS Bucket
- gs://autobound-reddit-company-v1/
- Formats
- JSONL · Parquet
- Refresh
- Weekly
Applications
What teams build with Reddit Signals
04 documented applications
- 01
Catch Accounts Mid-Decision
When a renewal triples or a vendor breaks trust, people post, and the thread names names. buyingIntent and customerFeedback signals with a 'switched' or 'confirmed' stage flag accounts actively moving between vendors.
- 02
Competitive Displacement Campaigns
customerFeedback signals often carry the switch direction (who the account is leaving and who they're moving to) plus the verbatim complaint. That's a displacement play with the objection already written for you.
- 03
Event-Driven Outreach
serviceOutage, pricingChange, productChange, and cybersecurityIncident signals surface disruptions the moment communities start discussing them, creating timely, specific reasons to reach out.
- 04
Account Risk Monitoring
financialDistress, layoffs, leadershipChange, and accountRestriction signals give account teams early warning on customers and prospects, each claim labeled by evidence strength so you can act on facts, not rumors.
Measured, Not Estimated
What's actually inside Reddit Signals
Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.
Top subtypes
21 totalGeography
all 175 countries →Top industries
all industries →Join keys
fill rateSee the real records for yourself.
See full coverage & segmentation across all 35 signal types →
Worked Example
One signal, traced to outcome
One Reddit Signals record followed from detection, through the action a rep took on it, to the measured result. Illustrative composite of observed customer workflows.
01 signal → 02 action → 03 outcome
Signal detected
A confirmed, core customerFeedback signal from r/sysadmin: an enterprise account rips Grammarly off every endpoint after an unannounced rollout, with leadership expediting a switch to Microsoft Copilot, verbatim quotes attached.
Action taken
A writing-assistance competitor's rep targets similar accounts with the exact objection from the thread: unannounced enterprise rollouts breaking IT trust, positioning their admin-controlled deployment as the fix.
Outcome
Outreach lands
Because it names the specific, publicly documented pain, not a generic pitch, while the account is actively re-evaluating vendors.
FAQ
Frequently Asked Questions
What are Reddit signals?
How does Autobound keep Reddit signals accurate?
How often do new Reddit signals arrive?
How should I use Reddit data in my outreach?
How It Works
From Raw Data to Your Stack
Autobound ingests from LinkedIn API, Glassdoor, GitHub, Reddit, G2, extracts structured signals with AI, and delivers them however your infrastructure needs.
Autobound Ingests
Raw data from LinkedIn API, Glassdoor, GitHub, Reddit, G2 is continuously collected and normalized across millions of sources.
AI Extracts & Scores
ML models extract 15 signal subtypes with relevance scoring, confidence levels, and entity resolution.
You Receive
Structured JSONL delivered via your preferred method, updated on a weekly cadence.
REST API
Real-time access with subtype filtering
300 req/minGCS Push
Automated delivery to your bucket
JSONL + ParquetEnrich API
On-demand LLM-ranked insights
AI relevance scoringFlat File
Bulk exports for data warehouses
CSV, JSON, Parquet“By consolidating three data vendors into Autobound's Enrich API, we added 100+ new signal types and saved 4 months of engineering time.”
AiSDR Team
Engineering, AiSDR
Ready to License Reddit Signals?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.