Product Hunt Launch Guide

v1.0.0

Product Hunt Launch Guide — Step-by-step Product Hunt launch strategy from 30x daily #1 winner. Complete guide for Product Hunt launch success. Covers: Produ...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for gingiris/product-hunt-launch-guide.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Product Hunt Launch Guide" (gingiris/product-hunt-launch-guide) from ClawHub.
Skill page: https://clawhub.ai/gingiris/product-hunt-launch-guide
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install product-hunt-launch-guide

ClawHub CLI

Package manager switcher

npx clawhub@latest install product-hunt-launch-guide
Security Scan
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Purpose & Capability
The name and description claim a Product Hunt launch guide and the SKILL.md is an instructional guide / alias to the Gingiris Launch Playbook on GitHub. There are no unrelated required binaries, env vars, or config paths.
Instruction Scope
The instructions are purely advisory (pre-launch, launch-day, post-launch tactics) and include a link and a single suggested install command for an external playbook. The skill does not instruct the agent to read files, access credentials, or transmit user data.
Install Mechanism
There is no install spec in the skill bundle itself (instruction-only). The README suggests running `clawdhub install gingiris-launch` or visiting the GitHub repo; installing that external package would pull external code under the user's control. Review the Gingiris repo before running any install command.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content does not reference any secrets, so requested access is proportionate.
Persistence & Privilege
always is false and disable-model-invocation is false (default). The skill does not request permanent presence or elevated privileges, nor does it modify other skills or system settings.
Assessment
This skill is an informational alias pointing to a public GitHub playbook. It's internally consistent with its stated purpose. If you plan to follow the suggested `clawdhub install gingiris-launch` step, inspect the Gingiris repository first (review code, install scripts, and permissions) before running the install. No credentials are requested by this skill, but exercise normal caution with any third-party installs or scripts you run. If you need a deeper safety check, provide the gingiris-launch repo contents for review.

Like a lobster shell, security has layers — review code before you run it.

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Updated 1mo ago
v1.0.0
MIT-0

Product Hunt Launch Guide

This is an alias skill — pointing to the comprehensive Gingiris Launch Playbook

The 24-Hour Battle Plan

Product Hunt is a 24-hour sprint starting at 12:01 AM PT. Here's how to win:

Pre-Launch (L-7 to L-1)

  • Lock your hunter (if using one)
  • Prepare all assets: tagline, description, media, maker comment
  • Warm up your community without asking for upvotes

Launch Day (Hour by Hour)

  • 00:00-03:00 PT — Initial push, engage early voters
  • 06:00-09:00 PT — Peak traffic window, maximum engagement
  • 12:00-15:00 PT — Afternoon push, social media activation
  • 18:00-21:00 PT — Final sprint, thank voters

Post-Launch

  • Follow up with everyone who engaged
  • Convert traffic to signups
  • Plan your next launch

Install the Full Playbook

clawdhub install gingiris-launch

Or read directly: Gingiris Launch Playbook

Success Stats

Based on real experience:

  • 30x Product Hunt Daily #1
  • 3x Product Hunt Weekly #1
  • 1x Product Hunt Monthly #1

Related Resources


Author: Iris (生姜iris) | 30x Product Hunt Daily #1 Winner

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