First AI Product Launch

First AI Product Launch — Zero to Live in 30 Days

by Gingiris-1031 · MIT license · ★ 82 on GitHub · updated Sep 20

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.

---
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

Overview

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）。

Manual install (npx, ZIP)

Claude Codenpx skills add Gingiris-1031/gingiris-skills --skill ai-product-launch -g -a claude-code

Claude Code (manual)

mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/Gingiris-1031/gingiris-skills/tar.gz/5d40bc8f4094 \
  | tar -xz -C ~/.claude/skills --strip-components=2 gingiris-skills-5d40bc8f4094/skills/ai-product-launch

Windows (PowerShell)

New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/ba0b38991662b92e362c/ai-product-launch.zip" -OutFile "$env:TEMP\ai-product-launch.zip"; Expand-Archive "$env:TEMP\ai-product-launch.zip" -DestinationPath "$HOME\.claude\skills" -Force

Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

SKILL.md4.1 KB
_meta.json136 B
.clawhub/1 file · 149 B
references/3 files · 6.0 KB

Read the files here

Gingiris-1031/5d40bc86 files

Shared references1SKILL.md reads these from elsewhere in the repo. Not in the ZIP.

2c-adaptation.mdskills/gingiris-seo-geo/references/10.1 KB

Get them on GitHub ↗

SKILL.md

Show the full text84 lines

ai-product-launch/SKILL.md84 lines · 4.1 KB

PreviewCode

Outline

RawView on GitHub

⚠️ 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 | English | 日本語 | 한국어

📦 Install

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.

1	---
2	name: ai-product-launch
3	description: \|
4	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.
5	source: https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/ai-product-launch
6	tags:
7	- startup-launch
8	- product-launch
9	- go-to-market
10	- mvp
11	- startup
12	- saas
13	- early-stage
14	- growth-hacking
15	- startup-marketing
16	- ai-tools
17	- claude-code
18	- ai-agent-skill
19	- zero-to-launch
20	- traction
21	- latest
22	---
23
24	## ⚠️ 2C 产品慎用 Product Hunt
25
26	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`）。
27
28	---
29
30	# First AI Product Launch — Zero to Live in 30 Days
31
32	> 🌍 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)
33
34	## 📦 Install
35
36	```bash
37	clawhub install ai-product-launch
38	```
39
40	What you get after installing:
41	- Structured 30-day framework from idea to paying users
42	- Week-by-week deliverables and validation milestones
43	- Common pitfalls first-time AI founders hit (and how to avoid them)
44
45	---
46
47	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.
48
49	## What You'll Learn
50	- Week 1: Validation (problem interviews, competitor audit, positioning)
51	- Week 2: Build (MVP scoping, AI model selection, landing page)
52	- Week 3: Pre-launch (beta cohort, feedback loops, content seeding)
53	- Week 4: Launch & iterate (distribution, metrics, first revenue)
54	- Common pitfalls first-time AI founders hit (and how to avoid them)
55
56	## Who This Is For
57	- First-time founders building AI/ML products
58	- Developers going from side project to real product
59	- Anyone who wants a structured 30-day launch roadmap
60
61	## Week 4 Deep-Dive: Distribution Math (2026 benchmarks)
62
63	Most first launches fail on arithmetic, not effort. Three rules before spending a dollar:
64
65	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.
66
67	2. Match the channel to the budget tier.
68
69	\| Budget \| Realistic week-4 outcome \|
70	\|---\|---\|
71	\| ~$1K \| A few hundred signups (micro-ads + niche subreddits + topic groups) \|
72	\| ~$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) \|
73	\| $10–20K \| ~1M impressions, low-thousands of signups \|
74
75	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%).
76
77	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.
78
79	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.
80
81	---
82
83	Built by Gingiris — guided 50+ AI products from concept to launch.
84