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Product Hunt Playbook

It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is t...

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安装到 Tokeny(自动)

下载 ZIP
安装"product-hunt-playbook"技能
技能信息:
- 名称: Product Hunt Playbook
- 标识: product-hunt-playbook
- 描述: It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is t...
- 版本: 1.0.0
下载地址:
https://www.tokeny.space/api/skills/product-hunt-playbook/download
继续

复制上方内容到 Tokeny 客户端并在会话中发送即可自动安装;也可直接 下载 ZIP并拖动到技能窗口安装。

SKILL.md

⚠️ 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 product-hunt-playbook

What you get after installing:

  • 24-hour battle plan with hour-by-hour tactics for launch day
  • Ranking algorithm deep-dive — weighted factors decoded (it's not just upvotes)
  • Post-launch 72h momentum plan to convert PH traffic into retained users

Product Hunt Launch Playbook

🌍 Language / 语言: 中文 | English | 日本語 | 한국어

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 gingiris-launch

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):

ServicePriceBest For
30 min session¥800Quick launch review
60 min session¥1500Full strategy session
Monthly retainer¥7000/moOngoing launch support

👉 Book now: gingiris.tools/services

Launch-Day Ops Addendum (2026 field data)

Hour-by-hour vote hygiene

  1. Watch your inflow rate, not just the total. Healthy pattern: a steady ~50 votes/hour. Danger pattern: bursts past 100/hour overall, or any one channel dumping 30+/hour.
  2. Expect the platform to prune votes about every two hours — if your count suddenly dips, that's the sweep, not a bug. Don't panic-blast your mailing list to compensate; that creates exactly the spike that gets pruned.
  3. Brief supporters before launch day: vote from their own device on mobile data, comment in their own words. A wall of same-minute votes from one network erases itself.

Decide which badge you're buying before you spend

Daily, weekly and monthly are not the same prize: weekly exposure ≈ 7x daily, monthly ≈ 30x. Aiming monthly → launch the second or third Tuesday of the month. Only need the daily badge → Friday–Sunday competition is thinner.

Budget reality check

  • ~$5K is the floor at which ~1,800 votes/24h becomes reachable — but volume without pacing is a trap: one campaign hit daily #1 at that level and had the badge revoked in a retroactive vote sweep.
  • Below that, redirect the money: ~10 Twitter KOC collabs beat a PH campaign on signups — PH exposure→upvote runs about 1%, while Reddit open-source promo converts exposure→stars at 5–8%.
  • One anonymized field case (an AI Agent product, 2025-12): a 500K-visit launch day engineered across Twitter/Reddit/YouTube/groups produced ~800 signups at $6.25 CAC. Traffic ≠ conversion — plan the funnel, not just the spike.

Split launch day and leaderboard day

Route half your amplifiers to the website on announcement day, the other half to PH on badge day. Cramming both goals into 24 hours makes each dilute the other.

Related Skills


Author: Iris (生姜iris) | gingiris.tools


🔗 About the Author

Iris Wei — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars).

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