Does it return what the user has launched or commented on?

Only as counts. The lists themselves come from the Product Hunt user launches, comments, collections, stacks and upvotes sources.

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 User API and MCP — Profile, Followers, Launch and Review Counts

Send a Product Hunt username or the link to a profile and get the profile back as structured JSON: name, headline, about text, follower and following counts, submitted launches, products, collections, stacks, reviews, votes, badges, links and join date.

Run it in the app Read the API docs

You send: a Product Hunt username, or the link to the profile
You get back: name, headline, about text, followers, submitted launches, products, collections, reviews, links and join date
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
`user`	string	The username you sent.
`user_id`	string	The user identifier as the platform uses it.
`human`	string	Readable summary of the profile.
`total_points`	number	Points charged for the run.
`machine.user.id`	string	Numeric user id.
`machine.user.username`	string	Username.
`machine.user.name`	string	Display name.
`machine.user.url`	string	Link to the profile.
`machine.user.headline`	string	Profile headline.
`machine.user.about`	string	About text as written on the profile.
`machine.user.image`	string	Avatar link.
`machine.user.created_at`	string	Date and time the account joined.
`machine.user.is_maker`	boolean	Whether the profile is marked as a maker.
`machine.user.is_verified`	boolean	Whether the profile is marked as verified.
`machine.user.follower_count`	number	Followers.
`machine.user.following_count`	number	Accounts followed.
`machine.user.submitted_launches_count`	number	Launches the user submitted.
`machine.user.products_count`	number	Products linked to the user.
`machine.user.collections_count`	number	Collections the user made.
`machine.user.stacks_count`	number	Products in the user's stack.
`machine.user.reviews_count`	number	Reviews the user wrote.
`machine.user.votes_count`	number	Upvotes the user gave.
`machine.user.badges_count`	number	Badges on the profile.
`machine.user.twitter_username`	string	Twitter/X handle the profile lists.
`machine.user.twitter_url`	string	Link to that account.
`machine.user.links[]`	array	Links on the profile: kind, name and url.
`machine.user.visit_streak`	number	Visit streak shown on the profile.
`machine.user.byline`	null	Empty in the sample.
`machine.blocked`	boolean	Whether the platform refused the request.
`machine.pages_opened`	number	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_users",
  "user": "kevin",
  "user_id": "kevin",
  "human": "# Product Hunt — user\n\n- **Id:** kevin\n- **Pages opened:** 1\n- **Proxy traffic:** 295.3 KB\n- **Name:** Kevin William David\n- **Headline:** Top Hunter 🥈\n- **Followers:** 28548\n- **Launches:** 3738\n- **Joined:** 2013-12-05T07:01:30-08:00",
  "machine": {
    "user": {
      "id": "79",
      "username": "kevin",
      "name": "Kevin William David",
      "url": "https://www.producthunt.com/@kevin",
      "headline": "Top Hunter 🥈",
      "about": "Hi there, I’m Kevin William David. Been a user from day 1 & currently one of the top 3 hunters on the Product Hunt leaderboard. I have helped more than 3600+ startups launch on Product Hunt for free. ",
      "image": "https://ph-avatars.imgix.net/79/892b0017-ec5b-4a37-aa6c-b32d62c82cae.jpeg",
      "created_at": "2013-12-05T07:01:30-08:00",
      "is_maker": true,
      "is_verified": false,
      "follower_count": 28548,
      "following_count": 119,
      "submitted_launches_count": 3738,
      "products_count": 19,
      "collections_count": 54,
      "stacks_count": 3,
      "reviews_count": 95,
      "votes_count": 21350,
      "badges_count": 17,
      "twitter_username": "kevinwdavid",
      "twitter_url": "https://x.com/kevinwdavid",
      "links": [
        {
          "kind": "website",
          "name": "Website",
          "url": "http://kevinwilliamdavid.com/"
        },
        {
          "kind": "twitter",
          "name": "Twitter",
          "url": "https://twitter.com/kevinwdavid"
        }
      ],
      "visit_streak": 34,
      "byline": null
    },
    "blocked": false,
    "pages_opened": 1,
    "proxy_traffic_bytes": 302348
  },
  "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-users \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"user":"kevin"}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Maker due diligence

Check how active and established a founder is on the platform before a conversation.

Community research

Read follower, launch and review counts for the hunters and makers in a space.

Launch partner vetting

Compare the track record of candidates who could hunt or support a launch.

Lead enrichment

Add profile counts and public links to a CRM record from a Product Hunt username.

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

—This source returns a personal profile as the person published it. Use it for business research and keep to the rules that apply to personal data where you operate.
—Returns one profile per request; counts are totals, and the activity behind them comes from the user comments, launches, upvotes, collections and stacks sources.
—Fields such as byline can be null when the profile leaves them empty.

FAQ

Questions, answered

Yes. Send either the username (kevin) or the full Product Hunt profile link.

Related sources

Product Hunt user launches

Launches a user submitted, with votes and ranks.

Product Hunt user collections

Collections a user has made.

Product Hunt user stacks

Products in a user's stack.

All startup & funding data

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

Try product hunt user on your own data

One request format across every source in the catalog.

Get started