Product Hunt Search Tool - Launch Discovery

Search Product Hunt launches through Vernclaw, returning compact rows with direct product URLs, Product Hunt URLs, votes, comments, and ranks.

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): one of featured_at, votes, comments, or recent

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, stats, and compact items rows with:

rank when available
product name and tagline
direct product_url when resolvable
producthunt_url for the Product Hunt page
launch or featured timestamp
public votes and comments

When Product Hunt only provides a redirect URL, Vernclaw resolves it server-side and returns the final product website as product_url. If the redirect cannot be resolved, product_url is null.

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.