一个把开源项目从 0 推到持续涨 star 的分阶段决策框架,覆盖预热、发布、增长三个阶段。
文档
Product Hunt Launch Playbook Win 1 Daily
按小时拆解的 Product Hunt 发布手册:排名机制、社区动员与发布后转化路径。
它能做什么
一份基于 30 次 Daily #1、3 次 Weekly #1、1 次 Monthly #1 实战经验的 Product Hunt 发布手册。覆盖发布日按小时推进的节奏、PH 排名的实际运作方式、合规范围内的社区动员、Maker 评论策略,以及把 PH 流量转化为用户的方法。附带 2025–2026 一线投放回报数据、周榜与日榜的取舍,以及 Hacker News 同步发布的节奏规则。文档明确提示:面向消费者的 2C 产品不建议主投 PH,应转向垂类社区与短视频平台。
什么时候用它
- 为开发者工具或 B2B SaaS 筹划 PH 发布,目标日榜或周榜第一
- 结合 2025–2026 投放回报数据,评估 PH 在当前预算下是否值得投入
- 权衡周榜曝光与日榜硬刚,选择最佳发布日
- 与 Hacker News 同步发布,争取双重曝光窗口
技能文档
⚠️ 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)。
Product Hunt Launch Playbook
30x Daily #1 | 3x Weekly #1 | 1x Monthly #1
What You Get
- 📅 24-hour battle plan — hour-by-hour tactics for launch day
- 🎯 Ranking algorithm insights — how PH ranking actually works
- 👥 Community mobilization — activate your network without violating rules
- 💬 Maker comments strategy — engaging with voters effectively
- 📊 Post-launch momentum — converting PH traffic to users
📚 Free Resources
GitHub Playbook (Free):
clawhub install product-hunt-launch-playbook-win-1-daily
Or read: Gingiris Launch Playbook
💎 Premium Deep-Dive
Product Hunt Launch Action Guide — ¥99
- Complete hour-by-hour timeline
- Hunter selection framework
- Community mobilization templates
- Post-launch conversion playbook
Complete Launch Bundle — All 4 playbooks
🎯 1-on-1 Launch Coaching
Work directly with Iris (30x PH #1 Winner, AFFiNE Co-founder):
| Service | Price | Best For |
|---|---|---|
| 30 min session | ¥800 | Quick launch review |
| 60 min session | ¥1500 | Full strategy session |
| Monthly retainer | ¥7000/mo | Ongoing launch support |
👉 Book now: gingiris.tools/services
Field Notes 2026 — Policy-Safe Launch Operations & Budget Math
Authentic support, not ranking manipulation
Product Hunt enforcement and ranking logic change over time; do not treat anecdotal thresholds as a way to game them. Ask your real users and community to visit the launch, try the product, and leave honest feedback—never buy votes, coordinate fake accounts, prescribe network/device tactics, or promise rewards for votes. Track visits, demos, signups and qualified conversations as primary outcomes; placement is secondary. Re-check Product Hunt's current official rules before every launch.
Which leaderboard is worth fighting for
Exposure scales non-linearly: a weekly badge delivers ~7x the impressions of a daily badge, a monthly badge ~30x. If you can time the launch into a soft week, the weekly badge is often a better prize than grinding out daily #1 on a brutal Tuesday. Chasing monthly? Launch on a Tuesday in the second or third week of the month.
Spend-to-outcome reference (field data, 2025–2026)
| Spend level | What it realistically buys |
|---|---|
| ~$1,000 | A few hundred signups via micro-ads + niche communities — PH optional |
| ~$5,000 | Creator, community and demo distribution sufficient for a broad test; do not translate spend into a vote target |
| $10,000–20,000 | Roughly 1M impressions, low-thousands of signups |
| Under $20,000 | A 10k-star open-source debut (lean team of ≤5) |
Honest math: PH impressions convert to upvotes at roughly 1%. The same dollars spread across ~10 Twitter KOC partnerships routinely beat PH on both reach and signups (Reddit open-source promo converts exposure→stars at 5–8%). If budget is tight, PH is a badge, not a growth channel.
Hacker News sibling rule
The HN front page is decided fast: you need ~30 points and ~10 comments inside the first 30 minutes — no movement by minute 40 means it's gone. Post during US morning hours, and skip the ~$500/post HN agencies (verified poor ROI). Prepare 2–3 posts with different angles so you get more than one shot.
Related Skills
- gingiris-launch — Full GTM playbook
- gingiris-opensource — OSS marketing
- gingiris-b2b-growth — B2B SaaS growth
Author: Iris (生姜iris) | gingiris.tools
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