MCPInstall

ph-timing-optimizer

Optimize your Product Hunt launch timing for maximum success. Use this skill to choose the best day of the week based on your goals, understand timezone considerations, and plan the exact launch time for optimal visibility.

Installs
68
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-timing-optimizer
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ph-timing-optimizer automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Product Hunt Timing Optimizer

This skill helps you choose the optimal launch timing based on your goals, available resources, and competitive landscape.

When to Use This Skill

  • Deciding which day of the week to launch
  • Understanding timezone implications
  • Planning for specific audience targeting
  • Balancing competition vs. traffic trade-offs
  • Coordinating global team availability

The Golden Rule

Launch at 12:01 AM Pacific Standard Time (PST)

Product Hunt's daily cycle resets at midnight PST. Launching at 12:01 AM gives you the full 24 hours of visibility.

Timezone Conversions

TimezoneLaunch Time
PST (San Francisco)12:01 AM
EST (New York)3:01 AM
GMT (London)8:01 AM
CET (Paris/Berlin)9:01 AM
IST (Mumbai)1:31 PM
CST (Beijing)4:01 PM
JST (Tokyo)5:01 PM
AEST (Sydney)7:01 PM

Day-by-Day Analysis

WEEKDAYS (Higher Traffic, Higher Competition)

Tuesday

Best For: Maximum exposure, B2B products

  • Traffic Level: ★★★★★
  • Competition: ★★★★★
  • Badge Difficulty: Very Hard
  • Newsletter: Individual daily feature

Pros:

  • Highest overall engagement
  • Decision-makers are active
  • Maximum newsletter exposure

Cons:

  • Brutal competition (often VC-backed products)
  • Requires 600-900+ upvotes for #1
  • Need large support network

Ideal For: Well-funded startups, products with large existing audience


Wednesday

Best For: Serious launches with strong preparation

  • Traffic Level: ★★★★★
  • Competition: ★★★★★
  • Badge Difficulty: Very Hard
  • Newsletter: Individual daily feature

Pros:

  • Peak mid-week attention
  • Strong B2B engagement
  • High-quality comments

Cons:

  • Highest competition day
  • Often 700-1000+ upvotes needed for #1
  • Exhausting for small teams

Ideal For: Products with viral potential, well-prepared teams


Thursday

Best For: Strong launches with slightly less competition

  • Traffic Level: ★★★★☆
  • Competition: ★★★★☆
  • Badge Difficulty: Hard
  • Newsletter: Individual daily feature

Pros:

  • Still high traffic
  • Slightly less competition than Tue/Wed
  • Good B2B engagement

Cons:

  • Still very competitive
  • 600-800+ upvotes often needed for #1

Ideal For: Solid products, teams with good support network


Monday

Best For: Starting the week strong

  • Traffic Level: ★★★★☆
  • Competition: ★★★☆☆
  • Badge Difficulty: Medium-Hard
  • Newsletter: Individual daily feature

Pros:

  • Fresh week, high attention
  • Less competition than mid-week
  • People catching up on new products

Cons:

  • Some decision-makers busy with meetings
  • 500-700 upvotes typically needed for #1

Ideal For: B2B tools, productivity products


Friday

Best For: Balanced approach

  • Traffic Level: ★★★☆☆
  • Competition: ★★★☆☆
  • Badge Difficulty: Medium
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Lower competition
  • More casual browsing
  • 400-600 upvotes can win

Cons:

  • Lower overall traffic
  • Newsletter exposure diluted (grouped with weekend)
  • Some users checked out for weekend

Ideal For: Consumer products, creative tools, side projects


WEEKENDS (Lower Traffic, Easier Badges)

Saturday

Best For: Winning a badge with limited resources

  • Traffic Level: ★★☆☆☆
  • Competition: ★★☆☆☆
  • Badge Difficulty: Easy
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Much lower competition
  • 300-500 upvotes can win #1
  • Indie hackers very active
  • Great for solo makers

Cons:

  • Lower total traffic
  • Less B2B engagement
  • Newsletter grouped (diluted exposure)

Ideal For: Indie projects, MVP validation, first-time launchers


Sunday

Best For: Minimal competition launch

  • Traffic Level: ★★☆☆☆
  • Competition: ★☆☆☆☆
  • Badge Difficulty: Very Easy
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Lowest competition
  • 300-400 upvotes often enough for #1
  • Relaxed community vibe
  • Good for testing

Cons:

  • Lowest traffic
  • Minimal B2B presence
  • Newsletter exposure very diluted

Ideal For: Side projects, experiments, products not needing B2B

Decision Matrix

Choose WEEKDAY (Tue-Thu) if:

  • Primary goal is customer acquisition
  • You have 50+ active supporters ready
  • Product appeals to B2B/enterprise
  • You have team capacity for 24-hour push
  • Marketing budget for promotion
  • Product is polished and market-ready

Choose WEEKEND (Sat-Sun) if:

  • Primary goal is winning a badge
  • Limited support network (<30 people)
  • First Product Hunt launch
  • Solo maker or tiny team
  • MVP seeking validation
  • Consumer/indie product

Choose FRIDAY if:

  • Want balance of traffic and competition
  • Consumer-focused product
  • Creative or fun tool
  • Moderate support network (30-50)

Critical 4-Hour Window

Regardless of day, the first 4 hours after launch are crucial:

Hour 0-1: Aim for 30-50 upvotes

  • Activate your closest supporters
  • Post on social media
  • Send first email wave

Hour 1-2: Aim for 50-100 upvotes

  • Second wave of outreach
  • Respond to all comments
  • Monitor ranking position

Hour 2-4: Aim for 100-200 upvotes

  • Continue engagement
  • Share progress updates
  • Activate next timezone supporters

Why First 4 Hours Matter:

  • Rankings are randomized initially
  • Algorithm watches early momentum
  • Top 3 position attracts organic traffic
  • Most users only see top products

Timing Optimization Checklist

  • Confirmed launch at 12:01 AM PST
  • Calculated timezone for your location
  • Assessed competition for chosen day
  • Verified team availability for first 4 hours
  • Scheduled email/social for optimal times
  • Planned supporter activation by timezone
  • Set up monitoring for launch time

Output Format

TIMING RECOMMENDATION

Selected Day: [Day]
Launch Time: 12:01 AM PST ([Local Time] your timezone)

Rationale:
- Primary goal: [Goal] → [Why this day fits]
- Support network size: [#] → [Sufficient/Needs work]
- Expected competition: [Level]
- Upvote target for Top 5: [#]

Timezone Coverage Plan:
- Wave 1 (Hour 0-1): [Region] supporters
- Wave 2 (Hour 1-2): [Region] supporters
- Wave 3 (Hour 2-4): [Region] supporters

Team Availability:
- [Person]: [Time range] - [Role]
- [Person]: [Time range] - [Role]

FAQ

What does the ph-timing-optimizer skill do?

Optimize your Product Hunt launch timing for maximum success. Use this skill to choose the best day of the week based on your goals, understand timezone considerations, and plan the exact launch time for optimal visibility.

How do I install ph-timing-optimizer?

Run npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-timing-optimizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ph-timing-optimizer/ (personal) or .claude/skills/ph-timing-optimizer/ (project).

Which AI agents can use ph-timing-optimizer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ph-timing-optimizer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ph-timing-optimizer?

It is published by yoanbernabeu in yoanbernabeu/producthunt-skills. It has 68 recorded installs.

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