Product Hunt Launch Monitor for Startup Research

What this pipeline does

Product Hunt is noisy, but it is useful when you treat it as a launch signal instead of a popularity scoreboard. Upvotes matter, but so do topics, makers, comments, launch timing, and whether momentum is unusual for the category.

Product Hunt Scraper collects launch rows, makers, topics, comments, upvotes, upvote velocity, rank movement, momentum, and breakout summaries. It can use a Product Hunt developer token for GraphQL access, with a lighter fallback when token-based access is not available.

Best first run

Start with today's launches and a small result cap.

{
  "mode": "today",
  "maxProducts": 30,
  "enableWatchMode": false,
  "enableAiAnalysis": false
}

Review the top rows manually. The goal is not just to capture launches; it is to decide which products deserve a second look.

Launch row shape

{
  "product": "Example Product",
  "makers": "Example Maker",
  "topics": "AI, productivity",
  "upvotes": 884,
  "comments": 42,
  "upvote_velocity": 38
}

Keep the launch URL and maker fields with every row. A useful research workflow needs to go from the table back to the original page quickly.

Research views

Start with views that help a human triage:

• Launches with high upvote velocity
• Launches in target topics
• Products with unusually active comment threads
• Makers launching repeatedly in the same market
• Products that overlap with portfolio, competitor, or customer themes

Those views are better than a single rank because they capture why a product might matter.

Pairing with Reddit

Product Hunt shows launch-side positioning. Reddit shows community reaction, objections, and alternatives. For deeper startup research, use Product Hunt Scraper to find products and Reddit Post & Modqueue Scraper to check whether related communities are already talking about the problem.

Deployment notes

Run daily for broad discovery and weekly for curated market maps. Store each launch once, then update momentum fields over time so repeated reports do not treat the same product as new every day.