ph-real-time-monitor

📁 yoanbernabeu/producthunt-skills 📅 Jan 24, 2026
10
总安装量
5
周安装量
#30275
全站排名
安装命令
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-real-time-monitor

Agent 安装分布

claude-code 4
opencode 3
gemini-cli 3
codex 3
kimi-cli 3

Skill 文档

Product Hunt Real-Time Monitor

This skill helps you set up and use monitoring systems to track your Product Hunt launch performance and make real-time adjustments.

When to Use This Skill

  • Setting up launch day tracking
  • Interpreting real-time metrics
  • Making mid-launch adjustments
  • Identifying issues early
  • Benchmarking against goals

Key Metrics to Track

Primary Metrics (Check Every 30 Minutes)

Metric What It Tells You How to Get It
Ranking Position Your visibility PH homepage
Total Upvotes Overall support PH product page
Upvote Velocity Momentum Calculate hourly
Comments Engagement depth PH product page

Secondary Metrics (Check Hourly)

Metric What It Tells You How to Get It
Website Traffic Conversion funnel Analytics tool
Signups Actual conversion Your database
Bounce Rate Content quality Analytics tool
Time on Site Interest level Analytics tool

Monitoring Setup

Product Hunt Tracking

Manual Method:

  • Open PH in dedicated browser tab
  • Refresh every 15-30 minutes
  • Log metrics in spreadsheet

Tools:

  • Upvote Bell – Real-time upvote notifications
  • PH Dashboard – Track multiple metrics
  • Custom scripts – API-based tracking

Analytics Dashboard

Google Analytics 4:

  1. Create Real-Time view
  2. Filter traffic source = producthunt.com
  3. Monitor: Users, Events, Conversions

Plausible/Fathom:

  • Real-time visitor dashboard
  • Referrer breakdown
  • Goal tracking

Communication Hub

Set up central place for team updates:

  • Slack channel (#ph-launch)
  • Discord server
  • WhatsApp group

Tracking Spreadsheet Template

Hourly Log

Time Rank Upvotes Δ Comments Website Signups Notes
00:00 0 0 0 0 Launch!
01:00 #8 42 +42 7 156 12 Good start
02:00 #5 78 +36 14 289 28 Moving up
03:00 #4 112 +34 21 445 41 Strong

Velocity Tracking

Upvote Velocity = (Current Upvotes - Previous Upvotes) / Hours Elapsed
Time Period Upvotes Gained Velocity
Hour 1 42 42/hr
Hour 2 36 36/hr
Hour 3 34 34/hr
Hour 4 45 45/hr

Benchmark Targets

By Hour (Weekday Launch)

Hour Top 5 Target Top 3 Target #1 Target
1 40+ 50+ 60+
2 80+ 100+ 120+
4 150+ 180+ 220+
6 220+ 270+ 330+
12 350+ 420+ 500+
24 500+ 600+ 800+

By Hour (Weekend Launch)

Hour Top 5 Target Top 3 Target #1 Target
1 25+ 35+ 45+
2 50+ 70+ 90+
4 100+ 130+ 160+
6 150+ 190+ 230+
12 220+ 280+ 350+
24 300+ 400+ 500+

Interpreting Signals

Positive Signals

  • ✅ Upvote velocity stable or increasing
  • ✅ Comments are substantive
  • ✅ Ranking climbing or stable
  • ✅ Healthy website traffic-to-signup ratio
  • ✅ Organic shares appearing

Warning Signals

  • ⚠️ Velocity dropping significantly
  • ⚠️ Ranking falling
  • ⚠️ High traffic but low signups
  • ⚠️ Negative comment sentiment
  • ⚠️ Technical issues reported

Red Flags

  • 🚨 Sudden large upvote removal
  • 🚨 Product unfeatured
  • 🚨 Website down
  • 🚨 Spam accusations

Real-Time Adjustments

If Velocity is Dropping

Diagnose:

  • Natural lull (check time of day)?
  • Competition heating up?
  • Content not resonating?

Actions:

  1. Activate next supporter wave early
  2. Push social media reminder
  3. Engage more in comments
  4. Share progress milestone

If Ranking is Falling

Diagnose:

  • New strong competitor launched?
  • Your velocity vs theirs?
  • Comments/engagement quality?

Actions:

  1. Focus on comment quality, not just upvotes
  2. Don’t panic-blast emails
  3. Maintain steady engagement
  4. Accept gracefully if outperformed

If Conversion is Low

Diagnose:

  • Is landing page clear?
  • Is onboarding broken?
  • Is offer compelling?

Actions:

  1. Check for technical issues
  2. Review landing page clarity
  3. Test signup flow yourself
  4. Adjust CTA if needed

If Comments Turn Negative

Actions:

  1. Respond professionally
  2. Address legitimate concerns
  3. Don’t argue or get defensive
  4. Learn from feedback

Alert System Setup

Set Up Notifications For:

Product Hunt:

  • New comments (check frequently)
  • Major upvote milestones
  • Ranking changes

Website:

  • Traffic spikes
  • Error rates
  • Server load

Communication:

  • Team messages
  • Supporter questions

Tools for Alerts

  • Email notifications from PH
  • Upvote Bell alerts
  • Analytics alerts (GA, etc.)
  • UptimeRobot (website monitoring)
  • Slack/Discord integrations

Competitor Monitoring

Track Top 5 Competitors

Product Upvotes Comments Velocity Threat Level
[Comp 1]
[Comp 2]
[Comp 3]
[Comp 4]
[Comp 5]

Assess Threat Level

  • Low: Different category, not competing
  • Medium: Similar product, similar traction
  • High: Strong product, outpacing you

Status Update Templates

Hourly Internal Update

📊 HOUR [X] UPDATE

Rank: #[X] ([↑/↓/→])
Upvotes: [X] (+[X] this hour)
Comments: [X] (+[X] this hour)
Website: [X] visits, [X] signups

Velocity: [X]/hour (target: [X]/hour)
Status: [On track / Behind / Ahead]

Next actions:
→ [Action 1]
→ [Action 2]

Team Alert (Issue)

⚠️ ATTENTION NEEDED

Issue: [Description]
Impact: [What's affected]
Action needed: [What to do]
Owner: [Who's handling]

Please [specific request].

Social Progress Update

[X] hours in! 🚀

• #[X] on @ProductHunt
• [X] upvotes and counting
• [X] amazing comments

Thanks for the support! 🙏
→ [Link]

End-of-Day Summary

Metrics Summary

📊 FINAL RESULTS: [Product Name]

RANKING
Final Position: #[X] of the Day
Peak Position: #[X] at [Time]

ENGAGEMENT
Total Upvotes: [X]
Total Comments: [X]
Featured in Newsletter: [Yes/No]

CONVERSION
Website Visits: [X]
Signups: [X]
Conversion Rate: [X]%

COMPARISON
Goal: [Original target]
Result: [Actual result]
Status: [Met / Exceeded / Missed]

Learnings Log

📝 LEARNINGS

What Worked:
• [Successful tactic]
• [Successful tactic]

What Didn't:
• [Unsuccessful tactic]
• [Unsuccessful tactic]

Surprises:
• [Unexpected observation]

For Next Time:
• [Actionable improvement]
• [Actionable improvement]

Monitoring Checklist

Setup (Night Before)

  • Tracking spreadsheet ready
  • Analytics dashboard configured
  • Team communication channel set
  • Notification alerts enabled
  • Competitor list prepared

During Launch

  • Logging metrics every hour
  • Monitoring alerts
  • Tracking velocity trends
  • Watching competitors
  • Sharing updates with team

After Launch

  • Final metrics captured
  • Summary prepared
  • Learnings documented
  • Screenshots saved