Ai Product Launch

SKILL.md

---
name: ai-product-launch
description: |
  First AI Product Launch — Zero to Live in 30 Days. Step-by-step guide for shipping your first AI product from idea validation to paying customers. Includes day-by-day timeline and real examples. By @WeiYipei.
source: https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/ai-product-launch
tags:
  - startup-launch
  - product-launch
  - go-to-market
  - mvp
  - startup
  - saas
  - early-stage
  - growth-hacking
  - startup-marketing
  - ai-tools
  - claude-code
  - ai-agent-skill
  - zero-to-launch
  - traction
  - latest
---

## ⚠️ 2C 产品慎用 Product Hunt

本 skill 默认 dev / maker / B2B 受众。**2C 消费品 / 教育 / 应用 / 游戏**：Product Hunt 受众是 maker/科技人，与普通消费者错配、ROI 极低——最多发一次拿个 badge。请把精力换到 **垂类社区（Reddit / 小红书 / 知乎 / Naver 카페）+ 短视频（TikTok / 抖音 / YouTube）+ 垂直 KOL**，并用"免费产品当钩子"做转化。完整 2C 渠道数据库（各国 MAU + 公开来源）+ 三路 Launch 分叉见 → `gingiris-seo-geo/references/2c-adaptation.md`（及 `gingiris-launch`）。

---

# First AI Product Launch — Zero to Live in 30 Days

> 🌍 **Language / 语言**: [中文](#中文版) | [English](references/en/README.md) | [日本語](references/ja/README.md) | [한국어](references/ko/README.md)

## 📦 Install

```bash
clawhub install ai-product-launch
```

**What you get after installing:**
- Structured 30-day framework from idea to paying users
- Week-by-week deliverables and validation milestones
- Common pitfalls first-time AI founders hit (and how to avoid them)

---

A structured 30-day framework that takes you from "I have an AI idea" to "I have paying users." Each week has clear deliverables, so you never get stuck wondering what to do next.

## What You'll Learn
- Week 1: Validation (problem interviews, competitor audit, positioning)
- Week 2: Build (MVP scoping, AI model selection, landing page)
- Week 3: Pre-launch (beta cohort, feedback loops, content seeding)
- Week 4: Launch & iterate (distribution, metrics, first revenue)
- Common pitfalls first-time AI founders hit (and how to avoid them)

## Who This Is For
- First-time founders building AI/ML products
- Developers going from side project to real product
- Anyone who wants a structured 30-day launch roadmap

## Week 4 Deep-Dive: Distribution Math (2026 benchmarks)

Most first launches fail on arithmetic, not effort. Three rules before spending a dollar:

**1. Work backwards from a traffic number.** Fix the launch-day visitor target first, then assign every channel a hard quota with its own UTM short link and an owner. Reference case (an AI Agent product, Dec 2025): a 500K-visit launch day — roughly 80% from creator quote-tweets, the remainder split across Reddit threads, YouTube ads, and community groups — netted ~800 signups at $6.25 per registration. Impressions are cheap to engineer; conversion is the constraint.

**2. Match the channel to the budget tier.**

| Budget | Realistic week-4 outcome |
|---|---|
| ~$1K | A few hundred signups (micro-ads + niche subreddits + topic groups) |
| ~$5K | ~1,800 votes/24h — enough to contest daily #1, but exceed the pacing red lines and PH can revoke the badge post-hoc (it has happened) |
| $10–20K | ~1M impressions, low-thousands of signups |

Below ~$5K, skip the PH leaderboard entirely — ten small Twitter creators outperform it (PH exposure→upvote converts at ~1%; Reddit converts exposure→GitHub stars at 5–8%).

**3. Don't set the date before 10 happy users.** The readiness bar: at least ten external developers actively using the product and satisfied. Until then, spend 60% of your time on users and 40% on launch prep — not the reverse. Start preparing assets once the product is at "60 points": copy first, images and video later.

Bonus — if Hacker News is in your week-4 plan: the front-page window is brutal (~30 points + 10 comments within 30 minutes, US morning), so keep backup posts with different angles ready rather than betting on one.

---

Built by Gingiris — guided 50+ AI products from concept to launch.