product-hunt-launch by manojbajaj95/claude-gtm-plugin
npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill product-hunt-launch通过研究和视觉优化，助力您的 Product Hunt 发布。
| 元素 | 规格 | 备注 |
|---|---|---|
| 产品名称 | — | 保持简短、易记 |
| 宣传语 | 60 字符限制 | 结尾不要加句号 |
| 描述 | 前 260 个字符 会显示在预览中 | 完整描述可以更长 |
| 图库图片 | 最多 8 张图片 | 建议尺寸 1270 x 760 像素 |
| 主题 | 最多 3 个 | 选择最具体的主题 |
| 创作者 | 标记所有团队成员 | 他们可以在评论区互动 |
| 链接 | 产品网址 | 投票者将前往的页面 |
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者，精准高效
第一张图库图片会显示在信息流、邮件摘要和社交分享中。它决定了您的第一印象。
| 位置 | 内容 | 目标 |
|---|---|---|
| 1 (主视觉) | 产品实际应用，核心价值清晰可见 | 吸引用户停止滚动，传达产品功能 |
| 2 | 关键功能演示 | 展示产品的“顿悟时刻” |
| 3 | 前后对比或问题/解决方案 | 展示产品带来的转变 |
| 4 | 社会证明或数据指标 | 建立可信度 |
| 5 | 技术差异化或集成功能 | 面向评估者 |
使用您偏好的图像生成工具，创建符合以下规格的图库图片：
图片 1：主视觉产品展示
图片 2：功能演示
图片 3：前后对比
图片 4：社会证明 / 数据指标
推荐工具： Midjourney, DALL-E, Figma, Adobe Express 或您偏好的设计/图像生成平台。
60 个字符。不加句号。必须传达产品功能以及用户为何需要关注它。
| 公式 | 示例 |
|---|---|
| 为 [目标用户] 提供 [行动] | "AI writing assistant for developers" |
| 无需 [痛点] 即可获得 [结果] | "Beautiful docs without the design skills" |
| 能带来 [好处] 的 [工具] | "Analytics that explain themselves" |
| [形容词] 的 [类别] | "Instant customer feedback surveys" |
| 面向 [细分领域] 的 [类别] | "The Figma for data visualization" |
❌ "The best project management tool ever created" (最高级，52 字符)
❌ "We help you manage projects better." (模糊，带句号，37 字符)
❌ "AI-powered machine learning project management SaaS" (流行词堆砌)
✅ "Ship docs in minutes, not days" (31 字符)
✅ "AI turns your data into stories" (32 字符)
✅ "The open-source Calendly alternative" (37 字符)
| 因素 | 建议 |
|---|---|
| 日期 | 周二、周三或周四 (流量最高) |
| 时间 | 太平洋时间 12:01 AM — Product Hunt 新一天的开始 |
| 避免 | 周末、节假日、重大 Apple/Google 活动期间 |
| 持续时间 | Product Hunt 日 = 太平洋时间午夜到午夜 |
在发布 5 分钟 内发布。这是您的宣传文案。
Hey Product Hunt! 👋
[1 句话：产品是什么]
[2-3 句话：为何创建它 / 您注意到的问题]
[1-2 句话：它如何工作 / 关键差异化]
[1 句话：下一步计划 / 您希望获得什么]
Would love to hear your thoughts — happy to answer any questions!
Hey Product Hunt!
DataFlow turns raw SQL queries into visual dashboards in seconds.
As a data engineer, I was frustrated spending more time formatting
reports than actually analyzing data. Every BI tool I tried required
a PhD in their configuration. So I built DataFlow — paste your SQL,
get a dashboard.
It auto-detects chart types, handles large datasets, and exports
to PDF/PNG with one click.
We're offering 50% off the first year for PH users. Would love
your feedback — what reporting pain points do you have?
| 时间 (太平洋时间) | 行动 |
|---|---|
| 12:01 AM | 产品上线，立即发布创作者评论 |
| 12:15 AM | 在个人社交媒体上分享 |
| 6:00 AM | 首次互动检查 — 回复所有评论 |
| 9:00 AM | 在相关社区分享 (自然地，非垃圾信息) |
| 12:00 PM | 中午检查 — 回复所有新评论 |
| 3:00 PM | 分享任何早期进展或有趣的反馈 |
| 6:00 PM | 晚间互动 — 回复剩余的评论 |
| 11:59 PM | 当天结束 — 结果最终确定 |
使用网络搜索工具研究竞争对手的发布情况和社区情绪：
| 时间 | 行动 |
|---|---|
| 第 1-3 天 | 回复所有剩余评论，感谢支持者 |
| 第 1 周 | 发布一篇“经验教训”博客文章 / Twitter 帖子 |
| 第 2 周 | 跟进评论中感兴趣的用户 |
| 第 1 个月 | 检查您是否有资格获得“周/月最佳产品” |
| 错误 | 问题 | 修正方法 |
|---|---|---|
| 在周五/周末发布 | 流量低，浪费发布机会 | 仅在周二至周四发布 |
| 在中午发布 | 半天时间已过 | 太平洋时间 12:01 AM |
| 没有创作者评论 | 看起来被遗弃 | 5 分钟内发布 |
| 索要投票 | 违反服务条款，可能被标记 | 自然地分享，让产品说话 |
| 通用图库图片 | 没有展示产品 | 展示真实的用户界面和功能 |
| 不回复评论 | 互动信号低 | 回复每一条评论 |
| 主题过多 | 稀释可发现性 | 最多 3 个，选择最具体的 |
| 宣传语使用流行词 | 没人知道您做什么 | 清晰、具体、以利益为中心 |
每周安装量
97
代码仓库
GitHub Stars
25
首次出现
Mar 11, 2026
安全审计
安装于
opencode97
github-copilot23
codex23
kimi-cli23
gemini-cli23
amp23
Optimize your Product Hunt launch with research and visuals.
| Element | Spec | Notes |
|---|---|---|
| Product name | — | Keep it short, memorable |
| Tagline | 60 character limit | No period at end |
| Description | First 260 chars show in preview | Full description can be longer |
| Gallery images | Up to 8 images | 1270 x 760 px recommended |
| Topics | Max 3 | Pick the most specific ones |
| Makers | Tag all team members | They can engage in comments |
| Link | Product URL | Where upvoters go |
The first gallery image shows in the feed, email digest, and social shares. It IS your first impression.
| Position | Content | Goal |
|---|---|---|
| 1 (Hero) | Product in action, core value visible | Stop the scroll, communicate what it does |
| 2 | Key feature demonstration | Show the "aha moment" |
| 3 | Before/after or problem/solution | Show the transformation |
| 4 | Social proof or metrics | Build credibility |
| 5 | Technical differentiator or integrations | For evaluators |
Use your preferred image generation tool to create gallery images matching these specs:
Image 1: Hero product shot
Image 2: Feature demo
Image 3: Before/after
Image 4: Social proof / metrics
Recommended tools: Midjourney, DALL-E, Figma, Adobe Express, or your preferred design/image generation platform.
60 characters. No period. Must communicate what the product does AND why someone should care.
| Formula | Example |
|---|---|
| [Action] for [audience] | "AI writing assistant for developers" |
| [Result] without [pain] | "Beautiful docs without the design skills" |
| [Tool] that [benefit] | "Analytics that explain themselves" |
| [Adjective] [category] | "Instant customer feedback surveys" |
| The [category] for [niche] | "The Figma for data visualization" |
❌ "The best project management tool ever created" (superlative, 52 chars)
❌ "We help you manage projects better." (vague, has period, 37 chars)
❌ "AI-powered machine learning project management SaaS" (buzzword soup)
✅ "Ship docs in minutes, not days" (31 chars)
✅ "AI turns your data into stories" (32 chars)
✅ "The open-source Calendly alternative" (37 chars)
| Factor | Recommendation |
|---|---|
| Day | Tuesday, Wednesday, or Thursday (highest traffic) |
| Time | 12:01 AM PT (Pacific Time) — start of the PH day |
| Avoid | Weekends, holidays, major Apple/Google events |
| Duration | PH day = midnight PT to midnight PT |
Post within 5 minutes of going live. This is your pitch.
Hey Product Hunt! 👋
[1 sentence: what it is]
[2-3 sentences: why you built it / the problem you noticed]
[1-2 sentences: how it works / key differentiator]
[1 sentence: what's next / what you're looking for]
Would love to hear your thoughts — happy to answer any questions!
Hey Product Hunt!
DataFlow turns raw SQL queries into visual dashboards in seconds.
As a data engineer, I was frustrated spending more time formatting
reports than actually analyzing data. Every BI tool I tried required
a PhD in their configuration. So I built DataFlow — paste your SQL,
get a dashboard.
It auto-detects chart types, handles large datasets, and exports
to PDF/PNG with one click.
We're offering 50% off the first year for PH users. Would love
your feedback — what reporting pain points do you have?
| Time (PT) | Action |
|---|---|
| 12:01 AM | Product goes live, post maker comment immediately |
| 12:15 AM | Share on personal social media |
| 6:00 AM | First engagement check — reply to all comments |
| 9:00 AM | Share in relevant communities (naturally, not spammy) |
| 12:00 PM | Mid-day check — reply to all new comments |
| 3:00 PM | Share any early traction or interesting feedback |
| 6:00 PM | Evening engagement — reply to remaining comments |
| 11:59 PM | Day ends — results are final |
Research competitor launches and community sentiment using web search tools:
| When | Action |
|---|---|
| Day 1-3 | Reply to all remaining comments, thank supporters |
| Week 1 | Publish a "lessons learned" blog post / Twitter thread |
| Week 2 | Follow up with interested users from comments |
| Month 1 | Check if you're eligible for "Product of the Week/Month" |
| Mistake | Problem | Fix |
|---|---|---|
| Launching on Friday/weekend | Low traffic, wasted launch | Tue-Thu only |
| Launching at noon | Half the day already gone | 12:01 AM PT |
| No maker comment | Looks abandoned | Post within 5 minutes |
| Asking for upvotes | Against TOS, can get flagged | Share naturally, let product speak |
| Generic gallery images | Doesn't show the product | Show real UI, real features |
| Not replying to comments | Low engagement signal | Reply to every single comment |
| Too many topics | Dilutes discoverability | Max 3, pick the most specific |
| Tagline with buzzwords | Nobody knows what you do | Clear, specific, benefit-focused |
Weekly Installs
97
Repository
GitHub Stars
25
First Seen
Mar 11, 2026
Security Audits
Gen Agent Trust HubFailSocketPassSnykFail
Installed on
opencode97
github-copilot23
codex23
kimi-cli23
gemini-cli23
amp23
内容策略指南：如何规划可搜索与可分享内容，驱动流量与潜在客户
39,800 周安装
Spring Boot配置属性单元测试指南：JUnit5测试@ConfigurationProperties
404 周安装
feishu-cli-msg：命令行发送飞书消息与互动，支持文本/文件/图片/卡片
413 周安装
JUnit 5 参数化单元测试指南：@ValueSource、@MethodSource、@CsvSource 详解与示例
408 周安装
LangChain4j MCP服务器实现指南：Java集成、Spring Boot与安全模式
407 周安装
React PDF 渲染器 - 使用 JSON 生成 PDF 文档，支持自定义组件和流式渲染
417 周安装
GitHub搜索技能 - 跨仓库代码/问题/PR搜索工具，支持GitHub搜索语法
412 周安装