
Ai Product Launch
- 80 installs
- 66 repo stars
- Updated August 4, 2026
- gingiris-1031/gingiris-skills
A step-by-step guide to ship a first AI product from idea validation to paying customers in 30 days, with a day-by-day timeline.
About
Walks a first-time founder through launching an AI product from validation to paying customers over 30 days. A developer uses it as a day-by-day timeline for shipping and getting initial traction.
- Zero-to-live 30-day timeline from idea validation to paying customers
- Includes real examples and a day-by-day launch schedule
Ai Product Launch by the numbers
- 80 all-time installs (skills.sh)
- Ranked #472 of 853 Sales & Marketing skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 80 |
|---|---|
| repo stars | ★ 66 |
| Last updated | August 4, 2026 |
| Repository | gingiris-1031/gingiris-skills ↗ |
What it does
A step-by-step guide to ship a first AI product from idea validation to paying customers in 30 days, with a day-by-day timeline.
Files
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-launchWhat 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
Built by Gingiris — guided 50+ AI products from concept to launch.
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First AI Product Launch — Zero to Live in 30 Days
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.
Week-by-Week Breakdown
Week 1: Validation
| Day | Task | Deliverable |
|---|---|---|
| 1-2 | Problem interviews (5+ users) | Pain point map |
| 3-4 | Competitor audit | Positioning matrix |
| 5 | Write positioning statement | One-liner + landing headline |
| 6-7 | Validate with 3 potential buyers | Go/no-go decision |
Week 2: Build
| Day | Task | Deliverable |
|---|---|---|
| 8-9 | MVP scope (ruthless cut) | Feature list (≤5 features) |
| 10-11 | AI model selection & integration | Working prototype |
| 12-13 | Landing page + waitlist | Live URL |
| 14 | Internal dogfooding | Bug list + UX notes |
Week 3: Pre-launch
| Day | Task | Deliverable |
|---|---|---|
| 15-16 | Beta cohort (10-20 users) | Onboarded users |
| 17-18 | Feedback collection | Priority fix list |
| 19-20 | Content seeding (3 posts) | Published content |
| 21 | Iterate based on feedback | Updated product |
Week 4: Launch & Iterate
| Day | Task | Deliverable |
|---|---|---|
| 22-23 | Distribution setup (PH, HN, Reddit) | Scheduled posts |
| 24 | Launch day execution | Live product |
| 25-26 | Engage and respond | Community activity |
| 27-28 | Metrics review | Dashboard |
| 29-30 | First revenue push | Paying customers |
Common Pitfalls
- Building too much before validating demand
- Choosing the wrong AI model (over-engineering)
- Skipping the beta phase
- Launching without a distribution plan
- Ignoring first-week feedback
Built by Gingiris — guided 50+ AI products from concept to launch.
初めての AI プロダクトローンチ — ゼロからリリースまで30日間
「AI のアイデアがある」状態から「有料ユーザーがいる」状態まで、30日間で到達する構造化フレームワーク。各週に明確な成果物があるため、次に何をすべきか迷うことがありません。
週別ブレイクダウン
Week 1: バリデーション
| 日 | タスク | 成果物 |
|---|---|---|
| 1-2 | 課題インタビュー(5名以上) | ペインポイントマップ |
| 3-4 | 競合調査 | ポジショニングマトリクス |
| 5 | ポジショニング文作成 | ワンライナー + ヘッドライン |
| 6-7 | 見込み客3名で検証 | Go/No-Go 判断 |
Week 2: ビルド
| 日 | タスク | 成果物 |
|---|---|---|
| 8-9 | MVP スコープ(徹底的に削る) | 機能リスト(5個以下) |
| 10-11 | AI モデル選定 & 統合 | 動くプロトタイプ |
| 12-13 | ランディングページ + ウェイトリスト | 公開 URL |
| 14 | 内部ドッグフーディング | バグリスト + UX ノート |
Week 3: プレローンチ
| 日 | タスク | 成果物 |
|---|---|---|
| 15-16 | ベータコホート(10-20名) | オンボード済みユーザー |
| 17-18 | フィードバック収集 | 優先修正リスト |
| 19-20 | コンテンツシーディング(3本) | 公開済みコンテンツ |
| 21 | フィードバック反映 | 更新済みプロダクト |
Week 4: ローンチ & イテレーション
| 日 | タスク | 成果物 |
|---|---|---|
| 22-23 | 配信セットアップ(PH, HN, Reddit) | スケジュール済み投稿 |
| 24 | ローンチ当日実行 | ライブプロダクト |
| 25-26 | エンゲージメント & レスポンス | コミュニティ活動 |
| 27-28 | 指標レビュー | ダッシュボード |
| 29-30 | 初収益プッシュ | 有料顧客 |
よくある落とし穴
- 需要を検証する前に作りすぎる
- 間違った AI モデルを選択(オーバーエンジニアリング)
- ベータフェーズを飛ばす
- 配信計画なしでローンチする
- 初週のフィードバックを無視する
Gingiris 制作 — 50 以上の AI プロダクトをコンセプトからローンチまで導いた実績。
첫 AI 프로덕트 런칭 — 제로에서 출시까지 30일
"AI 아이디어가 있다"에서 "유료 사용자가 있다"까지 30일 안에 도달하는 구조화된 프레임워크입니다. 매주 명확한 산출물이 있어서 다음에 무엇을 해야 할지 고민할 필요가 없습니다.
주별 상세 계획
Week 1: 검증
| 일 | 태스크 | 산출물 |
|---|---|---|
| 1-2 | 문제 인터뷰 (5명 이상) | 페인 포인트 맵 |
| 3-4 | 경쟁사 조사 | 포지셔닝 매트릭스 |
| 5 | 포지셔닝 문장 작성 | 원라이너 + 헤드라인 |
| 6-7 | 잠재 고객 3명으로 검증 | Go/No-Go 결정 |
Week 2: 빌드
| 일 | 태스크 | 산출물 |
|---|---|---|
| 8-9 | MVP 스코프 (과감히 축소) | 기능 목록 (5개 이하) |
| 10-11 | AI 모델 선택 & 통합 | 동작하는 프로토타입 |
| 12-13 | 랜딩 페이지 + 웨이트리스트 | 라이브 URL |
| 14 | 내부 도그푸딩 | 버그 리스트 + UX 노트 |
Week 3: 프리 런칭
| 일 | 태스크 | 산출물 |
|---|---|---|
| 15-16 | 베타 코호트 (10-20명) | 온보딩된 사용자 |
| 17-18 | 피드백 수집 | 우선 수정 목록 |
| 19-20 | 콘텐츠 시딩 (3개) | 게시된 콘텐츠 |
| 21 | 피드백 기반 개선 | 업데이트된 프로덕트 |
Week 4: 런칭 & 반복
| 일 | 태스크 | 산출물 |
|---|---|---|
| 22-23 | 배포 세팅 (PH, HN, Reddit) | 예약된 포스트 |
| 24 | 런칭 당일 실행 | 라이브 프로덕트 |
| 25-26 | 참여 및 응답 | 커뮤니티 활동 |
| 27-28 | 지표 리뷰 | 대시보드 |
| 29-30 | 첫 수익 확보 | 유료 고객 |
흔한 실수
- 수요를 검증하기 전에 너무 많이 만드는 것
- 잘못된 AI 모델 선택 (오버 엔지니어링)
- 베타 단계 건너뛰기
- 배포 계획 없이 런칭하기
- 첫 주 피드백을 무시하기
Gingiris 제작 — 50개 이상의 AI 프로덕트를 컨셉에서 런칭까지 안내한 실적.
Description: <br>
AI Product Launch is a structured 30-day guide for taking an AI product from idea validation through launch, iteration, and first paying customers. <br>
This skill is ready for commercial/non-commercial use. <br>
Publisher: <br>
gingiris <br>
License/Terms of Use: <br>
MIT-0 <br>
Use Case: <br>
Founders, developers, and AI product teams use this skill to plan validation, MVP scope, beta feedback, launch distribution, and first-revenue activities over a 30-day roadmap. <br>
Deployment Geography for Use: <br>
Global <br>
Known Risks and Mitigations: <br>
Risk: The server security verdict is suspicious and advises review before installation. <br> Mitigation: Install only if you trust the publisher and review the skill contents and scan guidance before use. <br>
Reference(s): <br>
- ClawHub Skill Page <br>
- English Launch Roadmap <br>
- Japanese Launch Roadmap <br>
- Korean Launch Roadmap <br>
Skill Output: <br>
Output Type(s): [text, markdown, guidance] <br> Output Format: [Markdown guidance with week-by-week tables and checklist-style milestones] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Localized reference material is available in English, Japanese, and Korean.] <br>
Skill Version(s): <br>
1.1.1 (source: server release metadata) <br>
Ethical Considerations: <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>