ProductHunt Launch

Product Hunt Launches capture companies actively going to market with new products — with AI-enriched analysis including pain points, use cases, and ready-to-use outreach hooks.

We pull Product Hunt launches daily via their GraphQL API, resolve each product's website domain, and enrich with LLM analysis. Each signal includes product metadata, vote/comment counts, B2B and AI classification, and structured sales intelligence.

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See real delivered data → Sample Files

This signal has a single subtype — every signal represents a product launch on Product Hunt.

Signal	Subtype Enum	Description
Product Hunt Launch	`companyProductHuntLaunch`	Product Hunt launch with enriched metadata

Each signal contains tags for filtering:

Tag	Description
`ai-product`	AI/ML related product
`b2b`	B2B product
`startup`	Early-stage company

Example Signal

What a single entry looks like in a delivered signal file:

{
  "signal_id": "ph-1130108",
  "batch_id": "2026-04-23-00-00-00",
  "signal_type": "producthunt-launch",
  "signal_subtype": "companyProductHuntLaunch",
  "association": "company",
  "detected_at": "2026-04-23T07:01:00Z",
  "company": {
    "name": "Big4 Council",
    "domain": "big4co.com",                  // match on domain
    "linkedin_url": "linkedin.com/company/big4-council",  // or match on LinkedIn URL
    "industries": ["Artificial Intelligence", "Consulting"],
    "employee_count_low": 1,
    "employee_count_high": 10,
    "description": "AI-powered multi-advisor strategic consulting platform..."
  },
  "contact": [],
  "data": {
    "product_name": "Big4 Council",
    "product_tagline": "Consult multiple specialized AI advisors in parallel",
    "product_description": "4 to 12 specialized AI advisors debating your problem in parallel. C-Suite level strategic consulting at a fraction of the cost.",
    "product_hunt_url": "https://www.producthunt.com/products/big4-council",
    "product_hunt_id": "1130108",
    "website_url": "https://big4co.com/?ref=producthunt",
    "thumbnail_url": "https://ph-files.imgix.net/90d24b7e-c345-4f1a-a19c-0a98b8e58263.svg?auto=format",
    "slug": "big4-council",
    "votes_count": 1,
    "comments_count": 1,
    "created_at": "2026-04-23T07:01:00Z",
    "makers": [
      {
        "name": "Ky Phan",
        "username": "kyphan"
      }
    ],
    "source_url": "https://www.producthunt.com/products/big4-council",
    "summary": "Big4 Council launched a platform that runs 4-12 specialized AI advisors debating a problem in parallel...",
    "detail": "Positioned as a cost-effective alternative to traditional consulting, Big4 Council differentiates by providing multiple specialized AI perspectives simultaneously...",
    "relevance": 0.8,                        // 0.0-1.0; higher = more actionable for outreach
    "confidence": "medium",                  // how certain this signal is accurate
    "sentiment": "neutral",
    "is_ai_product": true,
    "is_b2b": true,
    "primary_topic": "Business",
    "topics": [
      "AI advisors",
      "strategic consulting",
      "virtual consultants",
      "executive decision support",
      "cost-effective consulting"
    ],
    "pain_points_extracted": [
      "High cost of traditional consulting firms",
      "Slow turnaround for executive-level strategic advice"
    ],
    "use_cases_extracted": [
      "Rapid C-suite strategy sessions with multiple advisor viewpoints",
      "Scenario analysis and decision support for M&A or GTM strategy"
    ],
    "outreach_hooks": [
      "Would you be interested in getting multi-expert, C-suite level strategic input in minutes instead of weeks?",
      "How are you currently validating strategic decisions — could simulated debates speed up that process?"
    ],
    "tags": [
      "ai-product",
      "b2b",
      "startup"
    ]
  }
}

Field Reference

Standard envelope and entity fields are shared across all signals — see Schema and Resolution. The fields below are specific to this signal:

Signal-Specific Fields

The data object contains everything unique to this signal type — the intelligence extracted from the Product Hunt launch.

Field	Type	Description
`product_name`	string	Name of the launched product. May differ from company name
`product_tagline`	string	Product tagline as written by the maker. Concise pitch in their own words
`product_description`	string	Full product description from the launch page
`product_hunt_url`	string	Product Hunt page URL. Useful for displaying to reps
`product_hunt_id`	string	Product Hunt unique ID. Useful for deduplication
`website_url`	string	Resolved product website URL (follows PH redirects). The actual company domain
`thumbnail_url`	string	Product thumbnail image URL
`slug`	string	Product Hunt URL slug
`votes_count`	integer	Total upvotes at time of collection. Higher = more community validation
`comments_count`	integer	Total comments. High counts signal interest or controversy
`created_at`	string (ISO 8601)	Launch timestamp on Product Hunt
`makers`	array[object]	Product makers — the founders/builders who posted the launch
`makers[].name`	string	Maker name
`makers[].username`	string	Product Hunt username
`source_url`	string	Canonical Product Hunt URL
`summary`	string	One-sentence launch summary. Designed to be shown directly to end users. Typically 15–25 words
`detail`	string	2–3 sentence competitive analysis. Explains positioning, differentiation, and why this launch matters commercially
`relevance`	float (0–1)	How actionable this signal is for B2B outreach. Higher = stronger commercial signal
`confidence`	string	`high`, `medium`, or `low`. How certain the enrichment and classification are accurate
`sentiment`	string	`positive`, `negative`, or `neutral`. Based on launch reception
`is_ai_product`	boolean	Whether the product uses AI/ML as a core capability
`is_b2b`	boolean	Whether the product targets businesses (vs. consumers). Useful for filtering
`primary_topic`	string	Primary category (e.g., "Business", "Developer Tools", "Marketing")
`topics`	array[string]	Topic tags extracted from the launch. Useful for building interest-based targeting
`pain_points_extracted`	array[string]	Problems the product claims to solve. Useful for understanding the market pain the company is addressing
`use_cases_extracted`	array[string]	Target use cases and personas. Useful for ICP matching and outreach personalization
`outreach_hooks`	array[string]	Ready-to-use conversation starters tailored to this specific launch. Designed to power rep suggestions
`tags`	array[string]	Filterable signal tags (`ai-product`, `b2b`, `startup`). Useful for routing and segmentation

Timing & Delivery

detected_at is when the Product Hunt launch was published. Use product_hunt_url for the original launch context.
One signal per product per launch. Products that re-launch (version updates) will produce new signals with distinct signal_id values.
Each delivery arrives in a timestamped folder. Treat all signals in a new folder as recent — no need to diff against prior deliveries.

Coverage

Refresh: Daily
Coverage: All Product Hunt launches (filtered for B2B relevance)
Best for: Startup selling, PLG companies, tech early adopters, competitive intelligence

Contact Sales →

See real delivered data → Sample Files

Example Signal

Field Reference

Signal-Specific Fields

Timing & Delivery

Coverage