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Market Intelligence

Hacker News Signals

Show HN launches, product announcements, funding news, and company mentions from Hacker News, matched to company profiles. About 2,000 signals a month with points, comments, and extracted product details.

5,000+

Posts tracked daily

~55%

Company match rate

Daily

Update frequency

10

Signal subtypes

Market Intelligence10 subtypes · Daily refresh

What Are Hacker News Signals?

Hacker News signals fire when a company launches, announces news, or gets discussed on Hacker News. Autobound classifies each post into subtypes: Show HN launches (the large majority), company mentions, product launches, funding news, and hiring posts. Every signal captures the post title, points, comment count, and author, plus extracted details like product description, key features, founder names, and target market.

The value is timing. A Show HN post is often a founding team's first public launch; the team watches the thread for days and responds fast to relevant, technically literate outreach. Autobound generates about 2,000 company-matched HN signals a month, with 5,700+ companies matched to date, refreshed daily.

Example Signal Subtypes

showHnLaunchhnMentionhnProductLaunchhnFundingNewshnHiring

Data Schema

Hacker News Signal Schema

Each HN signal includes post metadata, engagement metrics, and company resolution.

hacker_news_signals.schema.json
{
  "signal_id": "hn-47580350",
  "batch_id": "2026-03-30-00-00-00",
  "signal_type": "hackernews",
  "signal_subtype": "showHnLaunch",
  "association": "company",
  "detected_at": "2026-03-30T22: 10: 22Z",
  "company": {
    "name": "Acme AI",
    "domain": "acme.ai",  // match on domain
    "linkedin_url": "linkedin.com/company/acme-ai",  // or match on LinkedIn URL
    "industries": ["Artificial Intelligence", "SaaS"],
    "employee_count_low": 11,
    "employee_count_high": 50,
    "description": "AI-powered GTM workflow automation platform..."
  },
  "contact": [],
  "data": {
    "hn_id": "47580350",
    "hn_title": "Show HN: Acme AI – Automate your GTM workflows with AI agents",
    "hn_url": "https://acme.ai",
    "hn_author": "acmefounder",
    "hn_points": 232,
    "hn_comments": 98,
    "hn_link": "https://news.ycombinator.com/item?id=47580350",
    "story_type": "show_hn",
    "company_name": "Acme AI",
    "product_name": "Acme AI",
    "product_description": "Automate prospecting, research, and outreach with AI agents.",
    "founder_names": ["Jane Smith"],
    "key_features": ["AI agents", "GTM automation", "CRM integration"],
    "target_market": "B2B sales and marketing teams",
    "relevance": 0.9,
    "is_b2b": true,
    "outreach_hooks": [
      "Congrats on the Show HN launch - 232 points is impressive traction.",
      "Saw the HN discussion around your AI agents - would love to connect."
    ],
    "tags": ["ai-product", "b2b", "gtm-automation"],
    "engagement_score": 4.36,
    "confidence": "high",
    "sentiment": "positive"
  }
}
GCS Bucket
gs://autobound-hackernews/
Formats
JSONL · Parquet
Refresh
Daily

Applications

What teams build with Hacker News Signals

03 documented applications

  1. 01

    Developer-Led Account Outreach

    When a target account's technical leadership posts on HN, reach out with a technically credible message that references their post. Engineers and CTOs are deeply skeptical of generic sales outreach, a message that starts with their HN thread earns a different kind of attention.

  2. 02

    Open Source Signal Monitoring

    Companies that open-source significant projects on HN are signaling a strategic shift toward developer community investment. This is often followed by an enterprise sales motion, exactly the point where they need tooling to manage that pipeline.

  3. 03

    Competitive Mention Tracking

    Monitor HN threads that mention your product, competitors, or category. When a target account's engineers are publicly discussing your competitor's pricing in a HN thread, that's an active evaluation signal.

Measured, Not Estimated

What's actually inside Hacker News Signals

Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.

Measured coverageaudited from production · minimums, not ceilingsEmerging source
1,448
companies with fresh data / month
basis: 30-day window
2,029
records created / month
basis: 30-day window

Top subtypes

5 total
Show Hn Launch8.5K · 95%
Hn Mention314 · 3.5%
Hn Product Launch133 · 1.5%
Hn Funding News21 · 0.2%
Hn Hiring1 · 0.0%
🇺🇸United States306 · 5.3%
🇬🇧United Kingdom32 · 0.6%
🇨🇦Canada19 · 0.3%
🇮🇳India14 · 0.2%
🇫🇷France12 · 0.2%
🇩🇪Germany10 · 0.2%
🇳🇱Netherlands8 · 0.1%
CA 149NY 63TX 28WA 25FL 17MA 16

Top industries

all industries
Software Development99 · 1.7%
IT Services and IT Consulting28 · 0.5%
Computers and Electronics Manufacturing26 · 0.4%
Technology, Information and Internet23 · 0.4%
Financial Services22 · 0.4%
Advertising Services16 · 0.3%
Consumer Services12 · 0.2%

Join keys

fill rate
Domain75%
LinkedIn URL0%
Company name100%
Records measured 8,974+Companies reached 5,787+Full schema & examples →

See the real records for yourself.

Real records from production, delivered to your inbox.

See full coverage & segmentation across all 35 signal types →

Worked Example

One signal, traced to outcome

One Hacker News 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

01

Signal detected

Vercel posts 'Show HN: We open-sourced v0, our AI web app generator' and hits #2 on the front page with 847 points.

02

Action taken

Your AE reads the technical thread, finds the CTO's comments, and sends an email referencing the RSC architecture debate.

03

Outcome

The CTO replies saying they're exactly at the inflection point you described, intro call scheduled.

FAQ

Frequently Asked Questions

Do you track comments or only top-level posts?
We primarily track top-level posts (Show HN, Ask HN, submitted links) and surface comment engagement as a signal modifier. Comment-level tracking for specific users is available for monitored contacts.
How do you match HN posts to companies?
We match via domain co-reference (post URL domain), author username database cross-reference, and text pattern matching for company names and products. Match confidence is included with every signal.

How It Works

From Raw Data to Your Stack

Autobound ingests from News APIs, website monitoring, technographic scanners, extracts structured signals with AI, and delivers them however your infrastructure needs.

01

Autobound Ingests

Raw data from News APIs, website monitoring, technographic scanners is continuously collected and normalized across millions of sources.

02

AI Extracts & Scores

ML models extract 10 signal subtypes with relevance scoring, confidence levels, and entity resolution.

03

You Receive

Structured JSONL delivered via your preferred method, updated on a daily cadence.

REST API

Real-time access with subtype filtering

300 req/min

GCS Push

Automated delivery to your bucket

JSONL + Parquet

Enrich API

On-demand LLM-ranked insights

AI relevance scoring

Flat File

Bulk exports for data warehouses

CSV, JSON, Parquet
News and competitive signals give our customers a real-time view of their market. It's the kind of intelligence that used to require a dedicated research team.

Platform Partner

VP of Product, Sales Intelligence Platform

Ready to License Hacker News Signals?

Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.