product-hunt-playbook

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

⚠️ 2C 产品慎用 Product Hunt

⚠️ 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
)。

本 skill 默认面向 dev / maker / B2B 受众。2C 消费品 / 教育 / 应用 / 游戏:Product Hunt 的受众是 maker/科技从业者,与普通消费者群体错配、ROI 极低——最多发布一次获取徽章即可。请将精力转向 垂类社区(Reddit / 小红书 / 知乎 / Naver 카페)+ 短视频(TikTok / 抖音 / YouTube)+ 垂直 KOL,并以「免费产品为钩子」进行转化。完整 2C 渠道数据库(各国 MAU + 公开来源)+ 三类发布分支方案详见 →
gingiris-seo-geo/references/2c-adaptation.md
(及
gingiris-launch
)。

📦 Install

📦 安装

bash
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

bash
clawhub install product-hunt-playbook
安装后你将获得:
  • 发布日逐小时战术的24小时作战计划
  • 排名算法深度解析——揭秘加权影响因素(不止是点赞)
  • 发布后72小时势头维持计划,将PH流量转化为留存用户

Product Hunt Launch Playbook

Product Hunt 发布操作手册

🌍 Language / 语言: 中文 | English | 日本語 | 한국어
30x Daily #1 | 3x Weekly #1 | 1x Monthly #1
🌍 语言: 中文 | English | 日本語 | 한국어
30次日榜第一 | 3次周榜第一 | 1次月榜第一

What You Get

你将获得的内容

  • 📅 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
  • 📅 24小时作战计划 — 发布日逐小时战术
  • 🎯 排名算法洞察 — PH排名的实际运作逻辑
  • 👥 社区动员方法 — 在不违反规则的前提下激活你的人脉网络
  • 💬 Maker评论策略 — 有效与投票者互动
  • 📊 发布后势头维持 — 将PH流量转化为用户

📚 Free Resources

📚 免费资源

GitHub Playbook (Free):
bash
clawhub install gingiris-launch
GitHub操作手册(免费):
bash
clawhub install gingiris-launch

💎 Premium Deep-Dive

💎 付费深度指南

  • Complete hour-by-hour timeline
  • Hunter selection framework
  • Community mobilization templates
  • Post-launch conversion playbook
Complete Launch Bundle — All 4 playbooks
  • 完整的逐小时时间线
  • Hunter选择框架
  • 社区动员模板
  • 发布后转化操作手册
完整发布套装 — 包含全部4份操作手册

🎯 1-on-1 Launch Coaching

🎯 1对1发布指导

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
直接与Iris合作(30次PH日榜第一得主,AFFiNE联合创始人):
服务价格适用场景
30分钟咨询800元快速发布复盘
60分钟咨询1500元完整策略制定
月度留存服务7000元/月持续发布支持
👉 立即预约:gingiris.tools/services

Launch-Day Ops Addendum (2026 field data)

发布日操作补充说明(2026年实地数据)

Hour-by-hour support hygiene

逐小时支持维护注意事项

  1. Watch support quality and rate, not just the total. Historical launches were reviewed in roughly two-hour windows; abrupt bursts and low-context accounts were more likely to be removed. Treat ~100 upvotes/hour as an operational warning line, not an algorithm guarantee.
  2. If the count drops, pause amplification and audit sources. Do not compensate with another blast.
  3. Ask only real users and existing community members to visit voluntarily and leave an authentic comment. Never buy accounts or votes, coordinate vote exchanges, conceal identity/network origin, or instruct supporters to evade platform controls.
  1. 关注支持的质量和频率,而非仅关注总数。历史发布案例以约两小时为窗口进行审核;突然爆发的点赞以及低关联度账号的点赞更可能被移除。将约100赞/小时视为操作警戒线,而非算法保证的指标。
  2. 若点赞数下降,暂停推广并审核来源。不要用另一波推广来弥补。
  3. 仅邀请真实用户和现有社区成员自愿访问并留下真实评论。切勿购买账号或点赞、协调互赞、隐瞒身份/人脉来源,或指示支持者规避平台管控。

Decide which badge you're buying before you spend

明确目标徽章再投入

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.
日榜、周榜和月榜的价值不同:周榜曝光量≈日榜的7倍,月榜≈日榜的30倍。目标冲击月榜→选择当月第二个或第三个周二发布。仅需日榜徽章→周五至周日竞争更小。

Budget and fit reality check

预算与适配性现实核查

  • Do not infer a universal spend-to-vote rate. Historical outcomes varied by audience fit, account quality, assets, timing and platform review.
  • With a small budget, redirect effort: the field notes found that roughly ten relevant X KOC collaborations often beat a PH-only push on registrations. Historical directional benchmarks were PH exposure→upvote around 1% and Reddit OSS exposure→star around 5–8%; validate against your own cohort before budgeting.
  • 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.
  • AFFiNE Apple Notes case (2024-02 launch): a three-person operations team coordinated 30 Twitter/LinkedIn KOLs and 24-hour multi-channel distribution. The project note reports 700K+ impressions and 1,000+ upvotes in 24 hours, monthly #8 within 96 hours, plus daily #2 and weekly #2. Treat these as self-reported historical figures—not a vote-per-KOL benchmark or causal guarantee.
  • 不要推断通用的「投入-点赞」比例。历史结果因受众适配度、账号质量、物料、时机和平台审核而异。
  • 预算有限时,调整方向:实地记录显示,约10位相关X平台KOC合作在注册量上通常优于仅针对PH的推广。历史参考基准为PH曝光→点赞约1%,Reddit开源曝光→星标约5–8%;预算前请针对自身用户群验证。
  • 某匿名案例(AI Agent产品,2025年12月):通过Twitter/Reddit/YouTube/社群打造的发布日50万访问量,带来约800个注册用户,CAC为6.25美元。流量≠转化——规划转化漏斗,而非仅追求流量峰值。
  • AFFiNE Apple Notes案例(2024年2月发布):三人运营团队协调30位Twitter/LinkedIn KOL,并进行24小时多渠道分发。项目记录显示24小时内获得70万+曝光和1000+点赞,96小时内进入月榜第8,同时获得日榜第2和周榜第2。这些为自我报告的历史数据——并非「每KOC带来固定点赞」的基准或因果保证。

Split launch day and leaderboard day

拆分发布日和榜单日

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.
将一半推广资源导向发布日的官网,另一半导向冲榜日的PH页面。将两个目标压缩在24小时内会互相稀释效果。

Evidence-backed operating sequence

基于实证的操作流程

  1. T−21 to T−14: make the maker profile credible through normal participation; finalize positioning and audience fit.
  2. T−14 to T−7: create Coming Soon, select a hunter only if their audience/feature access helps, and review every asset yourself. A hunter is not a source of votes.
  3. T−7 to T−1: observe recent competition for 1–3 weeks; prepare the maker comment, FAQ, demo, community destination and per-channel UTMs.
  4. Launch day: publish the first maker comment with the offer and community destination; answer questions; monitor source-level visits, activations and suspicious spikes every two hours.
  5. T+1 to T+7: move B2C leads into Discord/forum and B2B leads into Slack/community or a qualified demo flow. Report visits → signup → activation → retained/paid, not badge alone.
Historical planning heuristics: weekly visibility was roughly 7× daily and monthly roughly 30×; use the second/third Tuesday when attempting a monthly run, or Friday–Sunday when the goal is a less competitive daily launch. These are case observations, not current PH guarantees.
Source notes and field-case boundaries:
references/iris-field-notes.md
.
  1. 发布前21至14天:通过正常互动打造可信的Maker个人资料;最终确定定位和受众适配性。
  2. 发布前14至7天:创建Coming Soon页面,仅当Hunter的受众/功能权限有帮助时才选择Hunter,并亲自审核所有物料。Hunter并非点赞来源。
  3. 发布前7至1天:观察1–3周内的近期竞品;准备Maker评论、FAQ、演示、社区入口和各渠道UTM参数。
  4. 发布日:发布第一条带有福利和社区入口的Maker评论;解答问题;每两小时监控来源级访问量、激活量和可疑峰值。
  5. 发布后1至7天:将B2C线索导入Discord/论坛,将B2B线索导入Slack/社区或合格演示流程。报告访问→注册→激活→留存/付费数据,而非仅关注徽章。
历史规划参考:周榜曝光量约为日榜的7倍,月榜约为日榜的30倍;冲击月榜时选择当月第二个/第三个周二,目标竞争较小的日榜则选择周五至周日。这些为案例观察结果,并非PH当前的官方保证。
来源记录和案例边界:
references/iris-field-notes.md
。

Related Skills

相关技能


Author: Iris (生姜iris) | gingiris.tools


作者:Iris(生姜iris) | gingiris.tools

🔗 About the Author

🔗 关于作者

Iris Wei — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars).
Iris Wei — 为150+ AI初创公司提供增长咨询服务。前AFFiNE COO(该项目GitHub星标69K+)。