What does the product block contain?

The product behind the launch: id, slug, name, link, tagline, website, rating, review count and follower count.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a request cost?

5 points per successful run, which is $5 per 1,000, and only runs that return data are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Product Hunt Launch API and MCP — Votes, Ranks, Topics and Product Details

Send a launch slug such as ship-os-by-notion, or the launch page link, and get that launch back as JSON: name, tagline, state, votes, launch-day score, comments, daily, weekly and monthly rank, launch number, dates, the outbound link, topics and a block on the product behind it.

Run it in the app Read the API docs

You send: a Product Hunt launch slug or the link to the launch page
You get back: tagline, votes, comments, daily, weekly and monthly rank, dates, topics, the outbound link and the product behind the launch
Coverage: Product Hunt records with a public page.
Price: 5 pts — $5 per 1,000; Charged only when the record resolves. A request that finds nothing is not billed.

Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

Approach	What it takes	Cost	Trade-off
Product Hunt directly	Open the page on Product Hunt and read it	Free, and slow	Fine for one record, useless across a list, and the layout differs on every platform
Building a scraper	Write it, host it, and repair it when Product Hunt changes its pages	Engineering time	A maintenance commitment for something that isn't your product
NeuralVerge	One request, the same shape as every other source in the catalog	$5 per 1,000, misses not billed	Returns what Product Hunt publishes at request time. Other platforms are separate sources with the same request format

Response

What you get back

Every field in the example response below.

Field	Type	Description
`session_id`	string	Id of this run, for tracing.
`kind`	string	Source type of the response.
`launch`	string	The launch identifier you sent.
`launch_id`	string	The launch identifier as Product Hunt uses it.
`human`	string	Readable summary: id, tagline, votes, comments and launch date.
`total_points`	number	Points charged for the run.
`machine.launch.id`	string	Numeric launch id, as a string.
`machine.launch.alias`	string	Launch slug.
`machine.launch.name`	string	Launch name.
`machine.launch.tagline`	string	One-line tagline.
`machine.launch.url`	string	Link to the launch page.
`machine.launch.launch_state`	string	State of the launch, e.g. featured.
`machine.launch.votes_count`	number	Votes on the launch.
`machine.launch.launch_day_score`	number	Launch-day score as the platform reports it.
`machine.launch.comments_count`	number	Comments on the launch.
`machine.launch.daily_rank`	number	Rank on the launch day.
`machine.launch.weekly_rank`	number	Rank within the week.
`machine.launch.monthly_rank`	number	Rank within the month.
`machine.launch.launch_number`	number	Which launch this is for the product.
`machine.launch.featured_at`	string	When the launch was featured, ISO 8601 with offset.
`machine.launch.scheduled_at`	string	When the launch was scheduled.
`machine.launch.created_at`	string	When the launch was created.
`machine.launch.updated_at`	string	When the launch record last changed.
`machine.launch.image`	string	Launch image URL.
`machine.launch.link`	string	Outbound link of the launch.
`machine.launch.topics`	array	Topics, each with name, slug and url.
`machine.launch.product`	object	Product behind the launch: id, slug, name, url, tagline, website_url, rating, review_count and follower_count.
`machine.blocked`	boolean	Whether the platform refused the request.
`machine.pages_opened`	number	Platform pages read for the run.
`machine.proxy_traffic_bytes`	number	Size of the data transferred for the run, in bytes.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "producthunt_launches",
  "launch": "ship-os-by-notion",
  "launch_id": "ship-os-by-notion",
  "human": "# Product Hunt — launch\n\n- **Id:** ship-os-by-notion\n- **Pages opened:** 1\n- **Proxy traffic:** 702.1 KB\n- **Tagline:** The agent-native way to ship software\n- **Votes:** 175\n- **Comments:** 8\n- **Launched:** 2026-07-10T00:01:00-07:00",
  "machine": {
    "launch": {
      "id": "1192317",
      "alias": "ship-os-by-notion",
      "name": "Ship OS by Notion",
      "tagline": "The agent-native way to ship software",
      "url": "https://www.producthunt.com/posts/ship-os-by-notion",
      "launch_state": "featured",
      "votes_count": 175,
      "launch_day_score": 153,
      "comments_count": 8,
      "daily_rank": 9,
      "weekly_rank": 55,
      "monthly_rank": 189,
      "launch_number": 25,
      "featured_at": "2026-07-10T00:01:00-07:00",
      "scheduled_at": "2026-07-10T00:01:00-07:00",
      "created_at": "2026-07-10T00:01:00-07:00",
      "updated_at": "2026-10-08T22:51:03-07:00",
      "image": "https://ph-files.imgix.net/4dec3dd1-9554-4b57-89b9-1fbea6f42d01.png?auto=format&fit=crop&w=256&h=256",
      "link": "https://notion.com/ship-os",
      "topics": [
        {
          "name": "Task Management",
          "slug": "task-management",
          "url": "https://www.producthunt.com/topics/task-management"
        },
        {
          "name": "Artificial Intelligence",
          "slug": "artificial-intelligence",
          "url": "https://www.producthunt.com/topics/artificial-intelligence"
        }
      ],
      "product": {
        "id": "106091",
        "slug": "notion",
        "name": "Notion",
        "url": "https://www.producthunt.com/products/notion",
        "tagline": "The all-in-one workspace",
        "website_url": "https://www.notion.so",
        "rating": 4.83,
        "review_count": 1409,
        "follower_count": 18746
      }
    },
    "blocked": false,
    "pages_opened": 1,
    "proxy_traffic_bytes": 718909
  },
  "total_points": 5
}

Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

One record per request. Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged.

curl -X POST https://api.neuralverge.ai/functions/v1/run-producthunt-launches \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"launch":"ship-os-by-notion"}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Launch performance reports

Record votes, comments and daily, weekly and monthly rank for a launch you or a competitor ran.

Competitor monitoring

Re-run a competitor's launch slug to see where votes and rank stand now.

Link a launch to its product

Use the product block and outbound link to connect a launch to a company website and rating.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

Product Hunt records with a public page.

Freshness

Read at request time, so the answer reflects the platform as it stands when you ask.

Handling

This source returns information Product Hunt shows publicly. Every response carries the session id you can trace.

What it will not do

—Votes and ranks are those shown when you ask; the source does not keep earlier values.
—Daily, weekly and monthly rank are returned as the platform reports them; the source does not explain how they are computed.
—Funding and revenue are not on launch pages.

FAQ

Questions, answered

From the launch link, or from the Product Hunt launches search or leaderboards sources.

Related sources

Product Hunt launches search

Search launches by keyword.

Product Hunt leaderboards

Ranked launches for a day, week, month or year.

Product Hunt topic products

Products listed under one topic.

All startup & funding data

Startup directories, funding databases, launch platforms and investor data.

Try product hunt launch on your own data

One request format across every source in the catalog.

Get started