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Product Hunt Search

Search Product Hunt launches through AIAPI Center and return normalized product evidence rows.

What it does

Product Hunt launch pages are useful for discovering new products, launch positioning, maker profiles, vote counts, and early community response. This connector searches Product Hunt through AIAPI Center and returns normalized launch rows with product names, taglines, Product Hunt URLs, websites, topics, makers, votes, comments, and source limitations.

Inputs

ParameterFormatExampleRequired
querystringAI coding agentYes
limitnumber5No
from_dateYYYY-MM-DD2026-06-01No
to_dateYYYY-MM-DD2026-06-09No
sortstringfeatured_atNo

Outputs

FieldTypeDescription
matchedLaunchesnumberNumber of Product Hunt launch rows returned
topProductstringName of the top returned Product Hunt product
topUrlstringProduct Hunt URL for the top returned product
itemsarrayNormalized launch rows with URL, website, topics, makers, votes, comments, and limitations

Example output

Input

query: "AI coding agent" limit: 5 from_date: "2026-06-01"

Output

# Product Hunt Search Results
- Query: AI coding agent
- Matched Launches: 5
- Top Product: Example Agent
- Top URL: https://www.producthunt.com/products/example-agent

What it means

Five Product Hunt launch rows matched the query. The top row includes normalized product metadata, maker context, votes, comments, and links.

Last tested: 2026-06-09

How to install

Via CLI

$ vernclaw-cli invoke search.producthunt --query <value> --limit <value> --from_date <value> --to_date <value> --sort <value>

Via web

  1. Visit the connector catalog and find Product Hunt Search.
  2. Click Install connector and acknowledge any training requirements.
  3. Complete authorization if prompted.
  4. Use the connector from Chat or the CLI.

Auth and permissions

OAuth requiredNo
Managed authIncluded, no API key needed
Bring your own key (BYOK)Not supported in v1
Audit loggedEvery request is logged with input, result, cost, and timestamps
Training acknowledgmentNot required

Admins can restrict this connector via blacklist or whitelist in the admin panel.

Limits and edge cases

  • Only publicly available Product Hunt launch and product data is returned.
  • Product Hunt API v2 does not expose global post full-text search; AIAPI Center filters fetched public launches by keyword.
  • The effective Product Hunt page size is capped at 20 to stay within upstream GraphQL complexity limits.
  • Votes and comments can lag Product Hunt pages because upstream data may be cached or rate-limited.
  • Commercial or high-volume Product Hunt usage must follow Product Hunt API terms.

Common use cases

Research launches before positioning a new product

Search Product Hunt for similar launches and compare names, taglines, makers, votes, and comments.

Collect product rows for market scans

Return structured launch evidence that agents can rank, summarize, and cite.

Find fresh examples for launch copy

Search recent launches by keyword and reuse normalized rows in content workflows.

Frequently asked questions

Does this scrape private Product Hunt data?

No. It only returns publicly available launch and product data through the managed AIAPI Center provider.

Are vote counts real-time?

Not guaranteed. Treat votes and comments as directional because upstream data can be cached or rate-limited.

Related connectors

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