README.md

---
license: mit
language:
- en
- zh
- ja
- ko
pretty_name: Gingiris AI Product Global Launch Playbook — Product Hunt, KOL & UGC
  Growth
tags:
- product-launch
- product-hunt
- go-to-market
- startup-marketing
- ai-startup
- growth-hacking
- kol-outreach
- ugc-marketing
- viral-growth
- launch-strategy
- gtm
- startup
- growth
- marketing
- ai-growth
size_categories:
- n<1K
task_categories:
- text-generation
---

# 🚀 Gingiris AI Product Global Launch Playbook

> **Launch your product to Product Hunt #1 — the exact 4-week playbook behind 30+ daily wins including Manus, Devin, and AFFiNE (60k GitHub stars).** Built by Iris (生姜iris), Forbes Asia 30 Under 30, former cofounder & COO of AFFiNE.

**[English](#english) | [中文](#中文版) | [日本語](#日本語) | [한국어](#한국어)**

---

## 📦 Install

```bash
npx skills add Gingiris-1031/gingiris-launch
```

Then ask your AI agent:

> "Plan my Product Hunt launch 4 weeks out" or "Draft maker comments for our AI product"

Installs the **AI product launch playbook** behind 30+ Product Hunt #1 wins including Manus, Devin, and AFFiNE — hunter outreach scripts, asset checklist, launch-day timeline, KOL/UGC distribution, post-launch momentum tactics.

🔗 [View on gingiris.tools/skills/](https://gingiris.tools/skills/) · [Sustained growth follow-up: gingiris-b2b-growth](https://huggingface.co/datasets/Gingiris/gingiris-b2b-growth) · [skills.sh listing](https://skills.sh/Gingiris-1031/gingiris-launch)

## 🚀 30-Second Preview

```
You: We're launching our AI document agent on PH in 4 weeks. Plan it.
Agent (with gingiris-launch):

  W-4 — Foundation (this week):
    • Hunter shortlist: 8 candidates ranked by relevance × recent activity
    • Asset prep: 2 product GIFs + 5 screenshots + 30-sec demo video
    • Maker bio draft + 7-line product positioning
    • Pre-launch upvote network: 50 supporters mapped (3 tiers)

  W-3 — Outreach + warmup:
    • Hunter DMs sent (templates ranked by past response rate)
    • PH product page draft submitted for review
    • Reddit/Discord soft-mentions (DON'T promo, plant seeds)
    • dev.to teaser article: "Building X, launching on PH on [date]"

  W-2 — Community activation:
    • KOL outreach (3 tiers: micro / mid / mega — different scripts)
    • Notify email list with launch-day specific call to action
    • Newsletter swaps with adjacent product creators
    • Backup plan: if hunter falls through, self-launch protocol

  W-1 — Dress rehearsal:
    • Launch-day timeline locked (00:01 PT to 23:59 PT, hour by hour)
    • Maker comments drafted (5+ with different angles)
    • Founders' calendar cleared for launch-day engagement
    • Post-launch content (Twitter thread + dev.to recap) pre-written
```

Hour-by-hour timeline templates, not "make sure to engage with comments."

---

## English

### What Is This?

The **Gingiris AI Product Global Launch Playbook** is an operational guide covering the full arc of a product launch: pre-launch positioning, Product Hunt day execution, KOL/influencer outreach, Reddit and community seeding, UGC growth loops, and post-launch momentum maintenance.

Unlike generic marketing templates, this playbook is built from **real launch campaigns** — Manus (AI agent), Devin (first AI software engineer), AFFiNE (open-source Notion alternative), and 27+ other AI products that hit Product Hunt #1. Every tactic has a specific time, template, and decision point.

### Key Results (Verified)

| Metric | Result |
|:---|:---|
| Product Hunt #1 launches coached | 30+ |
| AFFiNE GitHub stars driven | 60,000+ |
| GitHub Trending appearances | 28 times in 5 months |
| AI startups consulted on launch | 150+ |
| Typical launch-day upvote rate uplift | 3-5x vs. uncoordinated launch |

### Field-Tested Benchmarks (2024–2026, 105+ projects)

Fresh numbers from real launch campaigns run between 2024 and mid-2026:

| Benchmark | Value |
|:---|:---|
| PH vote pacing ceiling (avoid vote sweeps) | ≤100 votes/hour total, ≤30/hour per channel |
| Weekly vs. daily badge exposure | ~7× daily; monthly badge ~30× |
| PH exposure → upvote conversion | ~1% (vs. Reddit open-source promo → star at 5–8%) |
| Hacker News front-page bar | 30 upvotes + 10 comments within 30 minutes |
| $1K launch recipe | a few hundred signups (micro YouTube ads + niche subreddits + topic communities) |
| $10–20K campaign | ~1M impressions, low-thousands signups |
| Measured launch-day CAC (backward-planned traffic, full UTM attribution) | $6.25 per signup on a 500K-visit day |

Rule of thumb that surprises most founders: **on a small budget, skip Product Hunt** — the same spend on ~10 Twitter KOL/KOCs delivers more exposure and more signups.

### What's New (July 2026): Zero-Budget Tactics from Founder Interviews

Freshly added tactics distilled from a new round of founder interviews — every one of them executed with zero ad spend.

#### The zero-ad-spend daily #1 path

One founder took a Product Hunt daily #1 with no ad budget at all (self-reported), using two levers:

- **Launch on Thursday, Friday, or Saturday** — the low-competition days most teams avoid. Fewer heavyweight launches means the same vote count ranks higher.
- **One-by-one LinkedIn community DMs** — personalized, sent individually, never bulk. Slow and manual, and it works precisely because nobody else is willing to do it.

#### The badge-or-relaunch rule

- Only the **top 5** on the daily, weekly, or monthly boards get a badge — everything below that is a launch with no durable asset.
- If launch day goes sideways and top 5 is out of reach, there is an escape hatch: **email PH support to remove the launch**, then relaunch on a quieter day.
- Treat this strictly as a **last resort** — the practice is increasingly policed, and a removed-and-relaunched product that gets flagged loses more than a badge.

#### The core formula

Strip away the tactics and launch marketing reduces to one equation:

> **Marketing = precise user-channel matching × high-quality content design**

The repeatable 4-step SOP behind it:

| Step | Action |
|:---|:---|
| 1 | Fill the positioning template — who is it for, what pain, why now |
| 2 | Turn "channels" into a **named list** — actual subreddits, groups, newsletters, not categories |
| 3 | Build a 3-piece content pack: one-liner + key features + user cases |
| 4 | Reuse **80%** of the pack across channels, customize the remaining **20%** per channel |

#### Launch ROI benchmark (self-reported, consulting engagements)

- A well-run launch typically costs **~$10-20K** end to end.
- Expected return: **hundreds of thousands to ~1M impressions** and **1K-10K+ signups**.
- Minimum viable crew: **1 full-time + 1-2 interns**.
- If your numbers land far below this band, the usual culprit is channel matching (step 2 above), not content quality.

#### The launch-day combo

The highest-leverage single-day stack observed:

- Community posts across your named channel list
- **DM the competitor's followers** — they already have the problem your product solves
- One launch article published the same morning
- Directory submissions batched for launch day

One competitor's zero-budget launch reportedly covered **~40 channels in one day** with this combo.

Distilled from 12 founder podcast interviews (2024-2026), figures self-reported.

### What's Inside

- **Pre-launch checklist** — 30-day, 7-day, 48-hour countdown templates
- **Product Hunt hunter outreach** — Scripts, timing, hunter database (top 50 by category)
- **Launch-day operation playbook** — Hour-by-hour schedule, comment moderation, upvote momentum tactics
- **KOL outreach templates** — Cold DM scripts for Twitter/X, LinkedIn, Telegram influencers
- **Reddit & HackerNews seeding** — Community rules, timing, authentic framing (no spam)
- **UGC growth loop** — How to turn early users into content creators
- **Post-launch momentum** — 7-day, 30-day follow-up cadence to sustain traffic spike
- **Case studies** — Manus, Devin, AFFiNE with annotated timelines

### Use Cases

- AI SaaS launching on Product Hunt for the first time
- Developer tools going global (出海) from Asia/Europe
- Open-source projects wanting a coordinated launch moment
- Mobile apps bootstrapping initial user acquisition
- Any founder who has built something great and needs the world to know

### When Should I Use This?

Use this playbook when you have a product that is **ready to ship** (or 2-4 weeks away) and want a structured, repeatable launch process. This is not for ideation — it's for execution.

### What Results Can I Expect?

Teams following this playbook consistently achieve:
- Top-5 Product Hunt ranking on launch day (30+ have hit #1)
- 500-2,000 genuine signups in the first 24 hours
- 10-50 pieces of organic social content from community members
- Sustained Google Search impressions from launch-related content for 90+ days

### FAQ

**Q: Is this different from generic launch checklists I find on Google?**
A: Yes. Most launch guides are written by people who have never launched anything. This is written by someone who has launched 30+ products to #1 and coached 150+ startups. The difference is in the specificity — exact DM scripts, timing windows, community rules for each platform.

**Q: Does this work for non-AI products?**
A: The frameworks apply broadly, but the examples and templates are tuned for AI/developer tools. If you're launching a consumer app, pair with the `gingiris-aso-growth` playbook.

**Q: What if I don't have a big existing audience?**
A: That's exactly what this playbook addresses. The KOL outreach and hunter coordination sections are specifically for founders with zero existing platform.

---

## 中文版

### 这是什么？

**Gingiris AI 产品全球发布行动指南**——涵盖产品发布全流程的实操手册：上线前定位、Product Hunt 当日执行、KOL/网红外联、Reddit 和社区种草、UGC 增长循环、发布后动能维持。

区别于泛泛的营销模板，本手册来自**真实发布战役**——Manus（AI Agent）、Devin（首个 AI 软件工程师）、AFFiNE（开源 Notion 替代品）及 27+ 个拿下 Product Hunt 日冠的 AI 产品。每个策略都有具体的时间节点、模板和决策分支。

### 核心数据

| 指标 | 成果 |
|:---|:---|
| Product Hunt 日冠辅导 | 30+ 次 |
| AFFiNE GitHub Star 增长 | 60,000+ |
| GitHub Trending 上榜 | 5 个月内 28 次 |
| AI 创业公司发布咨询 | 150+ |

### 实测基准（2024–2026，105+ 项目）

| 基准 | 数值 |
|:---|:---|
| PH 上票控速红线 | 总量 ≤100 票/小时、单渠道 ≤30/小时 |
| 周榜 vs 日榜曝光 | 周榜 ≈ 日榜 7 倍、月榜 ≈ 30 倍 |
| PH 曝光→upvote 转化 | ~1%（Reddit 开源宣发→star 为 5–8%） |
| HN 上首页标准 | 发帖 30 分钟内 30 赞 + 10 评论 |
| $1K 发布配方 | 小几百注册 |
| $1–2 万战役 | ~100 万曝光、小几千注册 |
| 发布日实测 CAC（流量倒排 + 全渠道 UTM 归因） | $6.25/注册（50 万流量日） |

反直觉结论：**预算不高别卷 PH**——同样预算给 ~10 个 Twitter KOL/KOC，曝光和注册都更高。

### 内容清单

- **发布前 Checklist** — 30 天、7 天、48 小时倒计时模板
- **Product Hunt Hunter 外联** — 话术、时机、Top 50 Hunter 名单
- **发布日操作剧本** — 逐小时排期、评论运营、点赞动能策略
- **KOL 外联模板** — Twitter/X、LinkedIn、Telegram 冷 DM 话术
- **Reddit 和 HN 种草** — 社区规则、时机、真实框架（反 spam）
- **UGC 增长循环** — 如何把早期用户变成内容创作者
- **发布后持续运营** — 7 天、30 天跟进节奏
- **案例解析** — Manus、Devin、AFFiNE 带注释时间线

---

## 日本語

### これは何ですか？

**Gingiris AI製品グローバルローンチプレイブック** — プロダクトローンチの全行程をカバーする実践ガイド。Product Hunt 30回以上の1位獲得経験から構築。Manus、Devin、AFFiNE（60k GitHub stars）などの実際のキャンペーンに基づく。

**主な内容**: プリローンチチェックリスト、Product Hunt当日の運営、KOLアウトリーチテンプレート、Reddit/HNシーディング、UGC成長ループ、ローンチ後の維持戦略。

---

## 한국어

### 이게 무엇인가요?

**Gingiris AI 제품 글로벌 런칭 플레이북** — Product Hunt 30회 이상 1위 달성 경험으로 구축된 실전 가이드. Manus, Devin, AFFiNE(60k GitHub 스타) 등 실제 캠페인 기반.

**주요 내용**: 런칭 전 체크리스트, Product Hunt 당일 운영, KOL 아웃리치 템플릿, Reddit/HN 시딩, UGC 성장 루프, 런칭 후 유지 전략.

---

## About the Author

**Iris (生姜iris)** — Former cofounder & COO of [AFFiNE](https://github.com/toeverything/AFFiNE) ($10M raised, 60k+ GitHub stars). Forbes Asia 30 Under 30. Coached 150+ AI startups on global go-to-market strategy. Based across Shanghai, Singapore, and remote.

- Website: [gingiris.com](https://gingiris.com)
- Twitter/X: [@WeiYipei](https://x.com/WeiYipei)
- Telegram: [@Iris_carrot](https://t.me/Iris_carrot)
- Blog: [gingiris.tools](https://gingiris.tools/)

---

## See Also — Gingiris Playbook Series

| Playbook | Focus | HuggingFace |
|:---------|:------|:------------|
| **gingiris-growth-finder** | 🧭 Meta-router: diagnoses your situation, picks the right playbook | [Gingiris/gingiris-growth-finder](https://huggingface.co/datasets/Gingiris/gingiris-growth-finder) |
| **gingiris-opensource** | ⭐ GitHub stars, HN, OSS go-to-market | [Gingiris/gingiris-opensource](https://huggingface.co/datasets/Gingiris/gingiris-opensource) |
| **gingiris-b2b-growth** | 📈 B2B SaaS PLG/SLG, PMF to $10M ARR | [Gingiris/gingiris-b2b-growth](https://huggingface.co/datasets/Gingiris/gingiris-b2b-growth) |
| **gingiris-aso-growth** | 📱 ASO, mobile cold start, UGC matrix | [Gingiris/gingiris-aso-growth](https://huggingface.co/datasets/Gingiris/gingiris-aso-growth) |
| **gingiris-seo-geo** | 🔍 SEO + GEO dual-engine, AI search citations | [Gingiris/gingiris-seo-geo](https://huggingface.co/datasets/Gingiris/gingiris-seo-geo) |
| **gingiris-user-interview** | 🎤 User interview framework (HeyGen 937 methodology) | [Gingiris/gingiris-user-interview](https://huggingface.co/datasets/Gingiris/gingiris-user-interview) |
| **gingiris-skills** | 🛠️ Full toolkit: 12 Claude Code skills bundled | [Gingiris/gingiris-skills](https://huggingface.co/datasets/Gingiris/gingiris-skills) |
| **growth-tools** | 📚 Blog & tools hub | [Gingiris/growth-tools](https://huggingface.co/datasets/Gingiris/growth-tools) |

All playbooks live at [gingiris.com](https://gingiris.com) and [skills.sh/Gingiris](https://skills.sh/Gingiris).

---

## License

MIT — Use, adapt, and build on this freely.

## 🔗 Related Gingiris Skills

| Skill | Focus | Install |
|-------|-------|---------|
| [gingiris-kol-outreach](https://huggingface.co/datasets/Gingiris/gingiris-kol-outreach) | KOL & Influencer Marketing SOP | `npx skills add Gingiris-1031/gingiris-kol-outreach` |
| [gingiris-ugc-matrix](https://huggingface.co/datasets/Gingiris/gingiris-ugc-matrix) | UGC Matrix & Multi-Platform Content | `npx skills add Gingiris-1031/gingiris-ugc-matrix` |
| [gingiris-opensource](https://huggingface.co/datasets/Gingiris/gingiris-opensource) | Open Source Launch Marketing | `npx skills add Gingiris-1031/gingiris-opensource` |
| [gingiris-go-global](https://huggingface.co/datasets/Gingiris/gingiris-go-global) | Go-Global Expansion Strategy | `npx skills add Gingiris-1031/gingiris-go-global` |

> 📦 **Full collection:** [gingiris-skills](https://github.com/Gingiris-1031/gingiris-skills) — All playbooks in one bundle.

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