Can I go from an alternative to its full profile?

Yes. Pass the alias from any item to the Product Hunt product 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 Product Alternatives API and MCP — Competitors with Similarity Score

Send a product slug or link and get the alternatives Product Hunt lists for it: name, tagline, rating, review count, categories and a similarity score for each. All pages are read, up to the max_items you set (up to 250).

Run it in the app Read the API docs

You send: a Product Hunt product slug or link, and how many results to return
You get back: the alternatives the platform lists for the product, each with rating, review count, categories and a similarity score
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	Open the page on Product Hunt and scroll through the list	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.
`product`	string	The product slug you sent.
`max_items`	number	The cap you sent on returned records.
`start_page`	number	Page the run started from.
`partial`	boolean	Whether the run stopped before reaching everything that matched.
`human`	string	Readable summary of the run.
`total_points`	number	Points charged for the run: 1 per returned record.
`machine.total_items`	number	Number of records returned in this response.
`machine.total_found`	null	Empty in the sample because the platform gave no total for this request.
`machine.page_count`	number	Pages read for the run.
`machine.first_item`	object	The first returned record, repeated from items[]. Fields below are described on items[].
`machine.blocked`	boolean	Whether the platform refused the request.
`machine.proxy_traffic_bytes`	number	Size of the data transferred for the run, in bytes.
`machine.items[].id`	string	Product id or slug on the platform.
`machine.items[].name`	string	Product name.
`machine.items[].url`	string	Link to the product page.
`machine.items[].alias`	string	The product slug.
`machine.items[].product_id`	string	Numeric product id.
`machine.items[].tagline`	string	One-line tagline.
`machine.items[].rating`	number	Average review rating.
`machine.items[].review_count`	number	Number of reviews.
`machine.items[].post_count`	null	Empty in the sample; the launch count is not given on this card.
`machine.items[].image`	string	Logo image link.
`machine.items[].categories[]`	array	Categories the product is listed in: name, slug and url.
`machine.items[].is_no_longer_online`	null	Empty in the sample; whether the product is marked as no longer online, when stated.
`machine.items[].similarity_score`	number	Similarity score the platform returns for the alternative.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "producthunt_products_alternatives",
  "product": "doplac-crm",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Product Hunt — product alternatives\n\n- **Product:** doplac-crm\n- **Results:** 2\n- **Proxy traffic:** 83.1 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "hubspot",
      "name": "HubSpot",
      "url": "https://www.producthunt.com/products/hubspot",
      "alias": "hubspot",
      "product_id": "113430",
      "tagline": "Grow better with HubSpot",
      "rating": 4.77,
      "review_count": 78,
      "post_count": null,
      "image": "https://ph-files.imgix.net/a186cf3e-6e9e-429d-bdb5-1033b4f9e55d.png?auto=format&fit=crop&w=128&h=128",
      "categories": [
        {
          "name": "Customer support tools",
          "slug": "customer-support",
          "url": "https://www.producthunt.com/categories/customer-support"
        },
        {
          "name": "CRM software",
          "slug": "crm",
          "url": "https://www.producthunt.com/categories/crm"
        },
        {
          "name": "Marketing automation platforms",
          "slug": "marketing-automation",
          "url": "https://www.producthunt.com/categories/marketing-automation"
        }
      ],
      "is_no_longer_online": null,
      "similarity_score": 5.205367519959214
    },
    "items": [
      {
        "id": "hubspot",
        "name": "HubSpot",
        "url": "https://www.producthunt.com/products/hubspot",
        "alias": "hubspot",
        "product_id": "113430",
        "tagline": "Grow better with HubSpot",
        "rating": 4.77,
        "review_count": 78,
        "post_count": null,
        "image": "https://ph-files.imgix.net/a186cf3e-6e9e-429d-bdb5-1033b4f9e55d.png?auto=format&fit=crop&w=128&h=128",
        "categories": [
          {
            "name": "Customer support tools",
            "slug": "customer-support",
            "url": "https://www.producthunt.com/categories/customer-support"
          },
          {
            "name": "CRM software",
            "slug": "crm",
            "url": "https://www.producthunt.com/categories/crm"
          },
          {
            "name": "Marketing automation platforms",
            "slug": "marketing-automation",
            "url": "https://www.producthunt.com/categories/marketing-automation"
          }
        ],
        "is_no_longer_online": null,
        "similarity_score": 5.205367519959214
      },
      {
        "id": "folk-2",
        "name": "folk",
        "url": "https://www.producthunt.com/products/folk-2",
        "alias": "folk-2",
        "product_id": "480793",
        "tagline": "folk is the AI CRM for your entire sales motion.",
        "rating": 4.79,
        "review_count": 81,
        "post_count": null,
        "image": "https://ph-files.imgix.net/ccb84135-f373-453d-b4de-837f8b77d00f.png?auto=format&fit=crop&w=128&h=128",
        "categories": [
          {
            "name": "Productivity",
            "slug": "productivity",
            "url": "https://www.producthunt.com/categories/productivity"
          },
          {
            "name": "Marketing & Sales",
            "slug": "marketing-sales",
            "url": "https://www.producthunt.com/categories/marketing-sales"
          },
          {
            "name": "CRM software",
            "slug": "crm",
            "url": "https://www.producthunt.com/categories/crm"
          }
        ],
        "is_no_longer_online": null,
        "similarity_score": 5.147077258213519
      }
    ],
    "total_found": null,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 85074
  },
  "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-products-alternatives \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"product":"doplac-crm","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Competitor sets

Build the list of products your target is compared with, with ratings and review counts side by side.

Positioning research

See which categories the closest alternatives sit in and how each is rated.

Sales targeting

Find products that serve the same buyers as an account you already sell to.

Market maps

Walk from one product to its alternatives, and from each of those on, to chart a space.

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

—The similarity score is the platform's own number; its method is not documented here.
—The sample returned no total (total_found is null), so the count is what max_items allows or the platform lists.
—Launch counts (post_count) are null on alternative cards.

FAQ

Questions, answered

It is returned as the platform gives it. Treat it as a ranking hint within one product's list rather than a measure to compare across different products.

Related sources

Product Hunt product

Full profile of one product: rating, followers, categories, makers and similar products.

Product Hunt product customers

Products whose makers say they use a given product.

Product Hunt product search

Find products by keyword, with rating and review count.

All startup & funding data

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

Try product hunt product alternatives on your own data

One request format across every source in the catalog.

Get started