Product Hunt Launch

Track Product Hunt launches to identify companies actively going to market with new products, including performance metrics, community feedback, and sales intelligence.

Overview

Product Hunt Launches capture companies actively going to market with new products—including performance metrics, community feedback, and ready-to-use outreach hooks.

We pull Product Hunt launches daily and enrich each with analysis. We compute daily rank, percentile vs. other launches, and engagement quality score (comments-to-votes ratio). Our model extracts pain points, use cases, and competitor mentions from descriptions and comments, then generates ready-to-use outreach hooks. Signals are tagged (high-performer, AI product, B2B, first launch) for easy filtering.

Signal Subtype

SignalSubtype EnumDescription
Product Hunt LaunchcompanyProductHuntLaunchAll Product Hunt launches with bundled metadata

Each signal contains rich metadata with tags for filtering by characteristics:

TagDescription
high-performerTop launches (>100 votes, top 5 daily, or 90th percentile)
top-3Ranked in top 3 for the day
ai-productAI/ML related product
startup / scaleup / enterpriseCompany stage
b2bB2B product
notable-feedbackHas highly-upvoted community comments
has-videoVideo demo present
featuredFeatured by Product Hunt

Schema

{
  "signal_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "signal_type": "producthunt-launch",
  "signal_subtype": "companyProductHuntLaunch",
  "detected_at": "2026-01-15T14:30:00Z",
  "batch_id": "2026-01-15-producthunt",
  "association": "company",
  "company": {
    "name": "Acme AI",
    "domain": "acme.ai",
    "linkedin_url": "linkedin.com/company/acme-ai"
  },
  "data": {
    "summary": "Strong Product Hunt debut with 450 votes - ranked #3 product of the day",
    "detail": "Launched 'Acme AI' on Jan 15, receiving exceptional community engagement with praise for intuitive UX and AI accuracy. Positioned as a Zapier alternative for AI-native workflows.",
    
    "product_name": "Acme AI",
    "product_tagline": "AI-powered workflow automation for modern teams",
    "product_description": "Automate your workflows with AI that learns...",
    "product_hunt_url": "https://www.producthunt.com/posts/acme-ai",
    "product_hunt_id": "123456",
    "website_url": "https://acme.ai",
    
    "votes_count": 450,
    "comments_count": 38,
    "created_at": "2026-01-15T07:00:00Z",
    "featured_at": "2026-01-15T12:00:00Z",
    
    "daily_rank": 3,
    "daily_total": 45,
    "votes_percentile": 95,
    "is_product_of_day": false,
    "engagement_quality_score": 0.84,
    "launch_timing_quality": "optimal",
    
    "company_type": "startup",
    "is_first_launch": true,
    "maker_experience_level": "intermediate",
    "makers": [
      {"name": "John Smith", "username": "jsmith", "headline": "Building AI tools"}
    ],
    
    "has_video_demo": true,
    "media_richness_score": 8,
    "media_count": 5,
    
    "topics": ["Artificial Intelligence", "Productivity", "SaaS"],
    "primary_topic": "Artificial Intelligence",
    "is_ai_product": true,
    "is_b2b": true,
    
    "community_sentiment": "positive",
    "top_comments": [
      {
        "body": "This is exactly what we needed for our team. The AI suggestions are surprisingly accurate.",
        "author": "ProductHuntUser",
        "votes": 12
      }
    ],
    
    "pain_points_extracted": [
      "Manual workflow management",
      "Tool fragmentation",
      "AI integration complexity"
    ],
    "use_cases_extracted": [
      "Sales team automation",
      "Marketing workflow",
      "Customer support triage"
    ],
    "competitor_mentions": ["Zapier", "Make"],
    "outreach_hooks": [
      "Congrats on the #3 Product of the Day launch - impressive traction!",
      "Saw the positive feedback on your AI accuracy - curious how you're handling edge cases",
      "Your integration approach resonates with what we're seeing in the market"
    ],
    
    "thumbnail_url": "https://ph-files.imgix.net/...",
    "relevance": 0.92,
    "confidence": "high",
    "days_since_launch": 4,
    "tags": ["high-performer", "ai-product", "featured", "b2b", "first-launch", "confidence-high"]
  }
}

Field Reference

Core Fields

FieldTypeDescription
signal_idstring (UUID)Unique identifier for this signal instance
signal_typestringAlways "producthunt-launch"
signal_subtypestringSpecific signal variant (see subtypes table)
batch_idstringIdentifier for the processing batch
detected_atstring (ISO 8601)When this signal was detected
associationstringAlways "company"

Company Object

FieldTypeDescription
company.namestringCompany/product name
company.domainstringPrimary website domain
company.linkedin_urlstringCompany LinkedIn URL (if available)

Product Information

FieldTypeDescription
data.product_namestringName of the launched product
data.product_taglinestringProduct tagline
data.product_descriptionstringFull product description
data.product_hunt_urlstringProduct Hunt page URL
data.product_hunt_idstringProduct Hunt unique ID
data.website_urlstringProduct website URL (resolved)

Engagement Metrics

FieldTypeDescription
data.votes_countintegerTotal upvotes
data.comments_countintegerTotal comments
data.created_atstring (ISO 8601)Launch timestamp
data.featured_atstring (ISO 8601)When featured (if applicable)

Performance Context

FieldTypeDescription
data.daily_rankintegerRank among launches that day (1 = top)
data.daily_totalintegerTotal launches that day
data.votes_percentileinteger (0-100)Percentile vs all launches in batch
data.is_product_of_daybooleanWhether featured as Product of the Day
data.engagement_quality_scorefloat (0-1)Comments-to-votes ratio (higher = engaged audience)
data.launch_timing_qualitystring"optimal" or "suboptimal" based on day/time

Company/Maker Analysis

FieldTypeDescription
data.company_typestring"startup", "scaleup", or "enterprise"
data.is_first_launchbooleanFirst Product Hunt appearance
data.maker_experience_levelstring"new", "intermediate", or "experienced"
data.makersarrayList of makers with name, username, headline

Content Quality

FieldTypeDescription
data.has_video_demobooleanVideo demo present
data.media_richness_scoreinteger (0-10)Overall media quality score
data.media_countintegerNumber of media assets

Categorization

FieldTypeDescription
data.topicsarray[string]Product Hunt category tags
data.primary_topicstringPrimary category
data.is_ai_productbooleanAI/ML related product
data.is_b2bbooleanB2B product (vs B2C)

Community Feedback

FieldTypeDescription
data.community_sentimentstring"positive", "mixed", or "negative"
data.top_commentsarrayTop comments with body, author, votes

Sales Intelligence

FieldTypeDescription
data.pain_points_extractedarray[string]Problems the product solves
data.use_cases_extractedarray[string]Target use cases/personas
data.competitor_mentionsarray[string]Competitors mentioned
data.outreach_hooksarray[string]Ready-to-use conversation starters

Metadata

FieldTypeDescription
data.summarystring1-sentence launch summary
data.detailstring2-3 sentence analysis
data.thumbnail_urlstringProduct thumbnail image
data.relevancefloat (0-1)Business relevance score
data.confidencestring"high", "medium", or "low"
data.days_since_launchintegerDays since launch
data.tagsarray[string]Signal tags for filtering

API Usage

Generate Insights API

{
  "insightSubtype": "companyProductHuntLaunch",
  "contactEmail": "[email protected]"
}

Generate Content API

{
  "enabledInsights": ["companyProductHuntLaunch"]
}

To exclude:

{
  "disabledInsights": ["companyProductHuntLaunch"]
}

Filtering by Tags

Use the data.tags field to filter signals by characteristics:

-- High-performing AI products
SELECT * FROM signals 
WHERE signal_subtype = 'companyProductHuntLaunch'
  AND data.tags LIKE '%high-performer%'
  AND data.tags LIKE '%ai-product%'

Example Outputs

High Performer:

"Congrats on the #3 Product of the Day launch—450 votes and glowing feedback on the AI accuracy is no small feat. Curious what growth channels you're doubling down on post-launch?"

AI Product:

"Saw Acme AI's launch this week—the positioning as an AI-native Zapier alternative resonates with what we're hearing from the market. Would love to compare notes on how you're thinking about enterprise adoption."

Community Feedback:

"The comment about 'finally a tool that integrates with existing stacks' caught my eye—sounds like you're solving a real pain point. Happy to share how we've approached similar integration challenges."

Coverage

  • Refresh: Weekly
  • Coverage: 1-10% of companies (requires Product Hunt presence)
  • Best for: Startup selling, PLG companies, tech early adopters, competitive intelligence
  • Data Source: Product Hunt GraphQL API + Gemini 2.5 Pro analysis