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Ai Product Launch

核心为AI产品从0到付费用户的30天结构化分周框架,涵盖验证、搭建、预发布、上线迭代全流程,附避坑技巧、渠道投放策略及不同预算的落地目标。适合首次打造AI产品的创始人、开发者,安装后可获取明确交付物与里程碑,还针对2C产品提供适配的垂类社区等替代渠道方案,助力高效完成产品上线与用户转化。

gingiris-1031
gingiris-1031
热度 56.86
最近更新 2026-07-06 12:57:46
分类:营销依赖:纯提示词应用场景:growth-hacking / 市场分析 / 模板 / 任务管理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ai-product-launch
Metadata
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 | 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.