Can I search by date?

This source takes a keyword. For a specific day, week, month or year use the Product Hunt leaderboards source.

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?

1 point per returned record, which is $1 per 1,000, and only records that come back are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Product Hunt Launches Search API and MCP — Find Launches by Keyword

Send a keyword such as crm and a max_items cap, and get matching launches back as JSON: launch name, link, slug, launch id, creation date and a block for the product behind each launch with its tagline, rating and review count.

Run it in the app Read the API docs

You send: a keyword, a max_items cap (up to 250) and optionally a start page
You get back: launches matching the keyword with name, date and the product behind each launch
Coverage: Product Hunt records with a public page.
Price: 1 point per returned record — $1 per 1,000; Billed per record actually returned, capped by max_items. A request that returns nothing costs nothing.

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	Type the query into Product Hunt and read the results	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	$1 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.
`keyword`	string	The keyword you sent.
`max_items`	number	The cap on returned records, as run.
`start_page`	number	Page the run started from.
`partial`	boolean	True when the run stopped before reaching max_items.
`human`	string	Readable summary: the query, how many results came back and how many were found.
`total_points`	number	Points charged for the run.
`machine.total_items`	number	Number of launches returned in this response.
`machine.total_found`	null	Total matches reported by the platform, when it reports one. Null in the sample.
`machine.first_item.id`	string	Launch slug.
`machine.first_item.name`	string	Launch name.
`machine.first_item.url`	string	Link to the launch page.
`machine.first_item.alias`	string	Launch slug as Product Hunt uses it.
`machine.first_item.launch_id`	string	Numeric launch id, as a string.
`machine.first_item.created_at`	string	Launch creation time, ISO 8601 with offset.
`machine.first_item.votes_count`	null	Votes on the launch. Null in search results.
`machine.first_item.comments_count`	null	Comments on the launch. Null in search results.
`machine.first_item.image`	null	Launch image. Null in search results.
`machine.first_item.product`	object	Product behind the launch: id, name, url, alias, product_id, tagline, rating, review_count, post_count, image, categories and is_no_longer_online.
`machine.items[]`	array	Launches returned, same shape as first_item.
`machine.page_count`	number	Pages read for the run.
`machine.blocked`	boolean	Whether the platform refused the request.
`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_search",
  "keyword": "crm",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Product Hunt — launches search\n\n- **Query:** keyword=crm\n- **Results:** 2\n- **Proxy traffic:** 237.4 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "doplac-crm",
      "name": "Doplac CRM",
      "url": "https://www.producthunt.com/posts/doplac-crm",
      "alias": "doplac-crm",
      "launch_id": "426271",
      "created_at": "2023-11-22T00:01:00-08:00",
      "votes_count": null,
      "comments_count": null,
      "image": null,
      "product": {
        "id": "doplac-crm",
        "name": "Doplac CRM",
        "url": "https://www.producthunt.com/products/doplac-crm",
        "alias": "doplac-crm",
        "product_id": "561231",
        "tagline": "Your CRM Partner",
        "rating": 5,
        "review_count": 7,
        "post_count": null,
        "image": "https://ph-files.imgix.net/604baef1-62aa-4544-88ba-cf142fecaf05.jpeg?auto=format&fit=crop&w=128&h=128",
        "categories": [],
        "is_no_longer_online": false
      }
    },
    "items": [
      {
        "id": "doplac-crm",
        "name": "Doplac CRM",
        "url": "https://www.producthunt.com/posts/doplac-crm",
        "alias": "doplac-crm",
        "launch_id": "426271",
        "created_at": "2023-11-22T00:01:00-08:00",
        "votes_count": null,
        "comments_count": null,
        "image": null,
        "product": {
          "id": "doplac-crm",
          "name": "Doplac CRM",
          "url": "https://www.producthunt.com/products/doplac-crm",
          "alias": "doplac-crm",
          "product_id": "561231",
          "tagline": "Your CRM Partner",
          "rating": 5,
          "review_count": 7,
          "post_count": null,
          "image": "https://ph-files.imgix.net/604baef1-62aa-4544-88ba-cf142fecaf05.jpeg?auto=format&fit=crop&w=128&h=128",
          "categories": [],
          "is_no_longer_online": false
        }
      },
      {
        "id": "chartmogul-crm",
        "name": "ChartMogul CRM",
        "url": "https://www.producthunt.com/posts/chartmogul-crm",
        "alias": "chartmogul-crm",
        "launch_id": "387373",
        "created_at": "2023-04-04T00:42:10-07:00",
        "votes_count": null,
        "comments_count": null,
        "image": null,
        "product": {
          "id": "chartmogul-crm",
          "name": "ChartMogul CRM",
          "url": "https://www.producthunt.com/products/chartmogul-crm",
          "alias": "chartmogul-crm",
          "product_id": "528330",
          "tagline": "The first CRM tailor-made for B2B SaaS companies",
          "rating": 5,
          "review_count": 2,
          "post_count": null,
          "image": "https://ph-files.imgix.net/c1c1c7ac-ff6c-44ae-aed4-6eca5b44fcba.png?auto=format&fit=crop&w=128&h=128",
          "categories": [],
          "is_no_longer_online": false
        }
      }
    ],
    "total_found": null,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 243121
  },
  "total_points": 2
}

Integration

How to run it

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

Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged. max_items caps how many records are returned and billed.

curl -X POST https://api.neuralverge.ai/functions/v1/run-producthunt-launches-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"crm","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Competitor discovery

Search a product type and list the launches that match, with product ratings alongside.

Prior-art checks

Search a name or idea before you launch to see what has already been launched.

Find slugs for deeper reads

Take launch slugs from the results and fetch full details with the launch source.

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, comments and image are null in search results; the launch source returns them for one launch.
—Matching is by keyword on the platform; results are not re-ranked.
—total_found is null in the sample, so the total number of matches is not reported.

FAQ

Questions, answered

Search results carry the launch name, date and product only. Run the Product Hunt launch source on a slug for votes, comments and rank.

Related sources

Product Hunt launch

One launch with votes, ranks and product.

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 launches search on your own data

One request format across every source in the catalog.

Get started