ph-real-time-monitor_skill

This skill helps you monitor your Product Hunt launch in real time, interpreting metrics and guiding mid-launch adjustments for maximum impact.

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-real-time-monitor

  • SKILL.md7.4 KB

Overview

This skill monitors and tracks your Product Hunt launch in real-time so you can make data-driven decisions during the 24-hour launch window. It provides a structured monitoring setup, key metrics to watch, alert rules, and templates for team and social updates. Use it to detect issues early, benchmark performance, and optimize tactics on the fly.

How this skill works

The skill defines primary and secondary metrics, a simple hourly logging template, and velocity calculations to measure momentum. It shows how to wire Product Hunt notifications, analytics dashboards, and communication channels into a single monitoring workflow. It also prescribes triggers, diagnostics, and concrete actions for common signals like dropping velocity, low conversions, or negative comments.

When to use it

  • Preparing tracking and alerts the night before launch
  • Actively monitoring performance during the 24-hour launch window
  • Diagnosing sudden drops in rank, traffic, or signups
  • Coordinating team responses to issues or engagement opportunities
  • Compiling end-of-day results and learnings

Best practices

  • Track primary metrics (rank, upvotes, velocity, comments) every 30 minutes and secondary metrics hourly
  • Centralize updates in one communication channel (Slack/Discord) to avoid noise
  • Use a simple hourly spreadsheet or dashboard to log metrics and velocity
  • Set automated alerts for comments, ranking changes, traffic spikes, and downtime
  • Respond to negative feedback calmly, address issues, and log learnings for next time

Example use cases

  • Run an hourly tracker during launch to compare upvote velocity against hour-by-hour benchmarks
  • Activate supporter waves and social pushes when velocity drops below target
  • Detect conversion issues by comparing Referral traffic from Product Hunt to signup counts
  • Use competitor tracking to assess threat level and adjust engagement focus
  • Send concise hourly status updates to the team using the provided template

FAQ

Rank, total upvotes, upvote velocity, and comments are primary; website traffic, signups, bounce rate, and time-on-site are secondary.

How often should I log metrics?

Log primary metrics every 30 minutes and secondary metrics hourly; use automated alerts for critical events.

What action should I take if velocity drops?

Diagnose cause (time zone lull, competition, messaging), then activate the next supporter wave, push social reminders, and engage more in comments.

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ph-real-time-monitor skill by yoanbernabeu/producthunt-skills | VeilStrat