AI Product Launch Playbook
Launch your AI product to global attention — the playbook behind Manus, Devin, and AFFiNE's breakout launches.
How to use it
Claude Code
- Run the line below. It pulls the whole folder into
~/.claude/skills/ai-launch-playbook. - Describe your job in plain words. Claude Code follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit Gingiris-1031/gingiris-skills/skills/ai-launch-playbook#main ~/.claude/skills/ai-launch-playbookFor one project only, change the path to .claude/skills/ai-launch-playbook.
Claude (web or desktop app)
- On this page open ⋯ → Download .md.
- Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
- Pick the file and Save. Claude shows the name and description and runs a security scan.
- Check the skill is switched on.
- Start a new chat and describe your job in plain words. The AI follows the skill from there.
ChatGPT or another app
- ChatGPT: make a Project and paste it into Instructions.
- Neither? Paste it at the top of a new chat — it works for that chat.
Not working?
- Check which app you pasted it into — the steps above name the right one.
- Some skills need the paid tier of Claude or ChatGPT.
Paste into Claude, ChatGPT or Cursor.
Source of AI Product Launch Playbook
Show the full text115 lines
| name | version | description | author | tags | source |
|---|---|---|---|---|---|
| ai-launch-playbook | 1.0.0 | Launch your AI product to global attention — the playbook behind Manus, Devin, and AFFiNE's breakout launches. Covers AI-specific GTM strategy, hype cycle management, waitlist tactics, and multi-market rollout for maximum day-one impact. | Gingiris | - ai - launch - startup - global - product-launch - go-to-market - gtm - startup-launch - startup-marketing - saas - ai-tools - claude-code - ai-agent-skill - waitlist - latest | https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/ai-launch-playbook |
⚠️ 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）。
📦 Install
clawhub install ai-launch-playbook
What you get after installing:
- AI-specific GTM strategy with hype cycle management and waitlist tactics
- Multi-market rollout playbook for maximum day-one global impact
- Real case studies from Manus, Devin, and AFFiNE breakout launches
AI Product Launch Playbook
Complete guide for launching AI products globally, with real case studies.
What You Get
- AI product positioning strategies
- Global launch timing and market selection
- KOL and influencer outreach for AI products
- Community building in AI/ML spaces
- Case studies: Manus, Devin, AFFiNE
What Actually Made Manus & Devin Travel (2026 analysis update)
Four forces, in causal order — skipping the first breaks the other three:
- Product depth as the narrative floor. Hype without substance decays in ~72 hours; the story can only stand as tall as the product is deep.
- Reproducibility sets the emotional ceiling. Users could re-run Manus demos themselves, so testimonials read as discovery rather than marketing — one creator's genuine recommendation pulled 2.8M views. Devin's non-reproducible demos drew hedged, polite coverage; the same creator's favor-share managed roughly 20 likes. Design demos for screen-recording and re-creation.
- The influencer flywheel. Founders, operators, and investors with real followings are each worth ten commissioned posts. Seed genuine surprise, never obligation — the 2.8M-vs-20 gap above is exactly that difference.
- The platform relay race. Days 0–3: X/Twitter ignites the topic. Days 3–10: YouTube and Substack deepen it. Day 10+: Reddit and HN keep the long tail alive. Plan the handoffs, not just the spark.
Budget-to-outcome ladder for AI launches (observed 2025–2026)
| Ticket | Observed ceiling |
|---|---|
| ~$1K | Hundreds of signups — go community-led, skip the big stage |
| ~$5K | ~1,800 votes/24h — daily-crown territory, but pace it: one campaign at this level had its #1 revoked in a post-hoc vote sweep |
| $10–20K | Seven-figure impressions, four-figure signups |
| <$20K total | A 10K-star open-source launch with a team of ≤5 |
Sanity ratio before you allocate: PH exposure→upvote ≈ 1%, while Reddit exposure→GitHub star runs 5–8%. Small budgets belong in niche communities and micro-creators, not leaderboards. Weekly PH badge ≈ 7x the exposure of daily, monthly ≈ 30x — pick the board before picking the date.
📚 Free Resources
GitHub Playbook (Free):
- Gingiris Launch Playbook - Complete launch strategy
- Gingiris Open Source Marketing - OSS marketing tactics
💎 Premium Resources
Gumroad Products:
- AI Product Global Launch Guide - Deep-dive with case studies
- Complete Launch Bundle - All playbooks in one
🎯 Need Expert Help?
1-on-1 Consulting with Iris (30x PH #1 Winner, AFFiNE Co-founder):
- 30 min session: ¥800
- 60 min session: ¥1500
- Monthly retainer: ¥7000
👉 Book now: gingiris.tools/services
Keywords: AI launch, AI product launch, launching AI product, AI startup launch, AI go-to-market, AI GTM strategy
🔗 About the Author
Iris Wei — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars).
- 🐦 Twitter: @WeiYipei — Daily growth tactics
- 💬 Consulting: @Iris_carrot on Telegram
- 🛒 Premium Bundle (all 5 playbooks + templates): Get on Gumroad ($249)
- 📚 40+ Free Playbooks: gingiris.tools/skills
| 1 | |
| 2 | name ai-launch-playbook |
| 3 | version 1.0.0 |
| 4 | description Launch your AI product to global attention — the playbook behind Manus, Devin, and AFFiNE's breakout launches. Covers AI-specific GTM strategy, hype cycle management, waitlist tactics, and multi-market rollout for maximum day-one impact. |
| 5 | author Gingiris |
| 6 | tags |
| 7 | - ai |
| 8 | - launch |
| 9 | - startup |
| 10 | - global |
| 11 | - product-launch |
| 12 | - go-to-market |
| 13 | - gtm |
| 14 | - startup-launch |
| 15 | - startup-marketing |
| 16 | - saas |
| 17 | - ai-tools |
| 18 | - claude-code |
| 19 | - ai-agent-skill |
| 20 | - waitlist |
| 21 | - latest |
| 22 | source https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/ai-launch-playbook |
| 23 | |
| 24 | |
| 25 | ## ⚠️ 2C 产品慎用 Product Hunt |
| 26 | |
| 27 | 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`）。 |
| 28 | |
| 29 | |
| 30 | |
| 31 | ## 📦 Install |
| 32 | |
| 33 | |
| 34 | clawhub install ai-launch-playbook |
| 35 | |
| 36 | |
| 37 | **What you get after installing:** |
| 38 | AI-specific GTM strategy with hype cycle management and waitlist tactics |
| 39 | Multi-market rollout playbook for maximum day-one global impact |
| 40 | Real case studies from Manus, Devin, and AFFiNE breakout launches |
| 41 | |
| 42 | |
| 43 | |
| 44 | # AI Product Launch Playbook |
| 45 | |
| 46 | > 🌍 **Language / 语言**: [中文] | [English] | [日本語] | [한국어] |
| 47 | |
| 48 | > Complete guide for launching AI products globally, with real case studies. |
| 49 | |
| 50 | ## What You Get |
| 51 | |
| 52 | AI product positioning strategies |
| 53 | Global launch timing and market selection |
| 54 | KOL and influencer outreach for AI products |
| 55 | Community building in AI/ML spaces |
| 56 | Case studies: Manus, Devin, AFFiNE |
| 57 | |
| 58 | ## What Actually Made Manus & Devin Travel (2026 analysis update) |
| 59 | |
| 60 | Four forces, in causal order — skipping the first breaks the other three: |
| 61 | |
| 62 | **Product depth as the narrative floor.** Hype without substance decays in ~72 hours; the story can only stand as tall as the product is deep. |
| 63 | **Reproducibility sets the emotional ceiling.** Users could re-run Manus demos themselves, so testimonials read as discovery rather than marketing — one creator's genuine recommendation pulled 2.8M views. Devin's non-reproducible demos drew hedged, polite coverage; the same creator's favor-share managed roughly 20 likes. Design demos for screen-recording and re-creation. |
| 64 | **The influencer flywheel.** Founders, operators, and investors with real followings are each worth ten commissioned posts. Seed genuine surprise, never obligation — the 2.8M-vs-20 gap above is exactly that difference. |
| 65 | **The platform relay race.** Days 0–3: X/Twitter ignites the topic. Days 3–10: YouTube and Substack deepen it. Day 10+: Reddit and HN keep the long tail alive. Plan the handoffs, not just the spark. |
| 66 | |
| 67 | ### Budget-to-outcome ladder for AI launches (observed 2025–2026) |
| 68 | |
| 69 | | Ticket | Observed ceiling | |
| 70 | |---|---| |
| 71 | | ~$1K | Hundreds of signups — go community-led, skip the big stage | |
| 72 | | ~$5K | ~1,800 votes/24h — daily-crown territory, but pace it: one campaign at this level had its #1 revoked in a post-hoc vote sweep | |
| 73 | | $10–20K | Seven-figure impressions, four-figure signups | |
| 74 | | <$20K total | A 10K-star open-source launch with a team of ≤5 | |
| 75 | |
| 76 | Sanity ratio before you allocate: PH exposure→upvote ≈ 1%, while Reddit exposure→GitHub star runs 5–8%. Small budgets belong in niche communities and micro-creators, not leaderboards. Weekly PH badge ≈ 7x the exposure of daily, monthly ≈ 30x — pick the board before picking the date. |
| 77 | |
| 78 | ## 📚 Free Resources |
| 79 | |
| 80 | **GitHub Playbook (Free):** |
| 81 | [Gingiris Launch Playbook] - Complete launch strategy |
| 82 | [Gingiris Open Source Marketing] - OSS marketing tactics |
| 83 | |
| 84 | ## 💎 Premium Resources |
| 85 | |
| 86 | **Gumroad Products:** |
| 87 | [AI Product Global Launch Guide] - Deep-dive with case studies |
| 88 | [Complete Launch Bundle] - All playbooks in one |
| 89 | |
| 90 | ## 🎯 Need Expert Help? |
| 91 | |
| 92 | **1-on-1 Consulting with Iris (30x PH #1 Winner, AFFiNE Co-founder):** |
| 93 | 30 min session: ¥800 |
| 94 | 60 min session: ¥1500 |
| 95 | Monthly retainer: ¥7000 |
| 96 | |
| 97 | 👉 **Book now: [gingiris.tools/services]** |
| 98 | |
| 99 | |
| 100 | |
| 101 | Keywords: AI launch, AI product launch, launching AI product, AI startup launch, AI go-to-market, AI GTM strategy |
| 102 | |
| 103 | |
| 104 | |
| 105 | |
| 106 | ## 🔗 About the Author |
| 107 | |
| 108 | **Iris Wei** — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars). |
| 109 | |
| 110 | 🐦 Twitter: [@WeiYipei] — Daily growth tactics |
| 111 | 💬 Consulting: [@Iris_carrot on Telegram] |
| 112 | 🛒 Premium Bundle (all 5 playbooks + templates): [Get on Gumroad ($249)] |
| 113 | 📚 40+ Free Playbooks: [gingiris.tools/skills] |
| 114 | |
| 115 |
Discussion
Shipping and launchPrepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.Launch StrategyWhen the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'how do I launch this,' 'launch checklist,' 'GTM plan,' or 'we're about to ship.' Use this whenever someone is preparing to release something publicly. For ongoing marketing after launch, see marketing-ideas. For the offer being launched (bonuses, guarantees, scarcity, naming), see offers.PacsomaticOperator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs. Use this skill when the user needs to validate run inputs, generate pacsomatic-compliant samplesheets, prepare reproducible Nextflow launch artifacts, run locally or submit to schedulers (LSF/Slurm/PBS/SGE), and triage execution failures. Triggers on requests to run pacsomatic, prepare launch commands/scripts, perform dry-run checks, or troubleshoot pipeline startup and scheduler submission errors.agent-launcher — Domain OrchestratorUse when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).
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