Product Hunt Search Tool - Launch Discovery

Search Product Hunt launches through Vernclaw and AIAPI Center, returning normalized product rows with URLs, makers, topics, votes, comments, and source limitations.

What is Product Hunt Search Tool?

Product Hunt Search helps agents discover public Product Hunt launches for market scans, launch research, competitor tracking, and startup discovery. The connector routes through AIAPI Center and returns normalized product rows that are ready for downstream automation.

Parameters

  • query (required): Product Hunt search query
  • limit (optional): number of launches to return
  • from_date / to_date (optional): date bounds in YYYY-MM-DD format
  • sort (optional): managed provider sort mode

Example

vernclaw-cli invoke search.producthunt --query "AI coding agent" --limit 5 --from-date 2026-06-01

Output

The CLI returns compact JSON by default:

{"status":200,"data":{}}

The data payload includes a normalized summary plus items rows with:

  • Product Hunt product ID, slug, and URL
  • product name and tagline
  • website URL when available
  • launch or featured timestamp
  • public votes and comments
  • topics, makers, thumbnail URL, and limitations
  • source: "producthunt" and source_mode

Use --pretty only for human-readable inspection. For automation, parse the JSON envelope and numeric status.

Limits

Only publicly available Product Hunt launch and product data is returned. Product Hunt API v2 does not expose global post full-text search, so 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 the Product Hunt website because upstream data may be cached, rate-limited, or constrained by Product Hunt API permissions. Commercial or high-volume usage must follow Product Hunt API terms.