ph-competitor-analysis_skill

This skill analyzes Product Hunt launches, benchmarks against top performers, and surfaces actionable strategies to improve your own POTD performance.

6

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill yoanbernabeu/producthunt-skills --skill ph-competitor-analysis

  • SKILL.md4.9 KB

Overview

This skill analyzes competing Product Hunt launches and benchmarks your launch against top performers to improve positioning and outcomes. It helps you research similar products, assess launch-day competition, and extract tactical lessons from winners. Use the output to set concrete engagement targets and refine messaging, visuals, and launch timing.

How this skill works

The skill inspects Product Hunt listings in your category and collects launch metrics (upvotes, comments, rank, launch date). It deep-dives into top performers’ content elements—taglines, thumbnails, galleries, maker comments—and maps engagement patterns like first-hour velocity and comment rate. Finally, it delivers benchmark thresholds, a positioning matrix, and a checklist of actions to apply to your launch.

When to use it

  • Planning a Product Hunt launch and setting goals for upvotes/comments
  • Researching competitors who launched on the same target date
  • Benchmarking your assets (tagline, thumbnail, gallery) against winners
  • Identifying gaps and opportunities in your category
  • Preparing launch-day monitoring and maker response strategy

Best practices

  • Analyze at least five similar launches, including top 3 winners, for pattern detection
  • Measure early engagement (first hour) to predict day outcome and adjust outreach
  • Use concise, problem-focused taglines and scroll-stopping thumbnails (GIFs or bold mockups)
  • Prepare maker comments and CTAs in advance for fast, authentic responses
  • Set concrete numeric targets (upvotes, comments) based on weekday benchmarks

Example use cases

  • Benchmark upvote targets for a Tuesday launch and tailor your outreach to hit Top 5 thresholds
  • Audit a competitor’s gallery and replicate effective demo styles (short videos, sequence screenshots)
  • Map your product on a positioning matrix to define a clear 10x-better angle
  • Create a launch-day checklist: competitor scan, ally outreach, maker comment queue
  • Turn lessons from winners into a condensed launch brief for marketing and community teams

FAQ

Analyze at least five similar products, plus deep-dives on the top three winners for clear patterns and actionable insights.

Can benchmarks vary by weekday?

Yes. Historical data shows different upvote expectations by day; use weekday-specific targets when planning launch timing.

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