Gingiris commited on
Commit
ba8ad4a
·
verified ·
1 Parent(s): cfaa502

Sync Apple Notes evidence audit

Browse files
Files changed (1) hide show
  1. skills/product-hunt-playbook/SKILL.md +153 -0
skills/product-hunt-playbook/SKILL.md ADDED
@@ -0,0 +1,153 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ name: product-hunt-playbook
3
+ version: 1.7.0
4
+ description: |
5
+ 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 the hour-by-hour operations manual from someone who's coached 30+ #1 finishes.
6
+
7
+ What's inside:
8
+ • Ranking algorithm deep-dive (it's not just upvotes — weighted factors decoded)
9
+ • Launch day minute-by-minute checklist (PST timing, first 3 hours are critical)
10
+ • Voter mobilization strategies (ethical, anti-spam-safe approaches)
11
+ • Asset preparation templates (gallery, tagline ≤60 chars, maker comments)
12
+ • Post-launch 72h momentum plan (convert PH traffic → retained users)
13
+
14
+ Built from: 30+ PH #1 daily wins, 10+ weekly top 3, 2 monthly top 5. 3,000-5,000+ upvotes per launch.
15
+
16
+ Triggers: "Product Hunt" | "PH launch" | "Product Hunt #1" | "PH ranking" | "Product Hunt strategy" | "PH upvotes" | "launch day" | "PH打榜" | "Product Hunt攻略" | "PH ranking algorithm"
17
+ source: https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/product-hunt-playbook
18
+ tags:
19
+ - product-hunt
20
+ - launch
21
+ - ph-strategy
22
+ - daily-1
23
+ - hunter
24
+ - upvotes
25
+ - product-launch
26
+ - startup-launch
27
+ - makers
28
+ - go-to-market
29
+ - claude-code
30
+ - ai-agent-skill
31
+ - agent-skill
32
+ - latest
33
+ ---
34
+
35
+ ## ⚠️ 2C 产品慎用 Product Hunt
36
+
37
+ 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`)。
38
+
39
+ ---
40
+
41
+ ## 📦 Install
42
+
43
+ ```bash
44
+ clawhub install product-hunt-playbook
45
+ ```
46
+
47
+ **What you get after installing:**
48
+ - 24-hour battle plan with hour-by-hour tactics for launch day
49
+ - Ranking algorithm deep-dive — weighted factors decoded (it's not just upvotes)
50
+ - Post-launch 72h momentum plan to convert PH traffic into retained users
51
+
52
+ ---
53
+
54
+ # Product Hunt Launch Playbook
55
+
56
+ > 🌍 **Language / 语言**: [中文](#中文版) | [English](references/en/README.md) | [日本語](references/ja/README.md) | [한국어](references/ko/README.md)
57
+
58
+ > **30x Daily #1 | 3x Weekly #1 | 1x Monthly #1**
59
+
60
+ ## What You Get
61
+
62
+ - 📅 **24-hour battle plan** — hour-by-hour tactics for launch day
63
+ - 🎯 **Ranking algorithm insights** — how PH ranking actually works
64
+ - 👥 **Community mobilization** — activate your network without violating rules
65
+ - 💬 **Maker comments strategy** — engaging with voters effectively
66
+ - 📊 **Post-launch momentum** — converting PH traffic to users
67
+
68
+ ## 📚 Free Resources
69
+
70
+ **GitHub Playbook (Free):**
71
+ ```bash
72
+ clawhub install gingiris-launch
73
+ ```
74
+ Or read: [Gingiris Launch Playbook](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gingiris-launch)
75
+
76
+ ## 💎 Premium Deep-Dive
77
+
78
+ **[Product Hunt Launch Action Guide](https://gingiris.gumroad.com/l/zxamur)** — ¥99
79
+ - Complete hour-by-hour timeline
80
+ - Hunter selection framework
81
+ - Community mobilization templates
82
+ - Post-launch conversion playbook
83
+
84
+ **[Complete Launch Bundle](https://gingiris.gumroad.com/l/gingiris-complete-global-launch-bundle)** — All 4 playbooks
85
+
86
+ ## 🎯 1-on-1 Launch Coaching
87
+
88
+ **Work directly with Iris (30x PH #1 Winner, AFFiNE Co-founder):**
89
+
90
+ | Service | Price | Best For |
91
+ |---------|-------|----------|
92
+ | 30 min session | ¥800 | Quick launch review |
93
+ | 60 min session | ¥1500 | Full strategy session |
94
+ | Monthly retainer | ¥7000/mo | Ongoing launch support |
95
+
96
+ 👉 **Book now: [gingiris.tools/services](https://gingiris.tools)**
97
+
98
+ ## Launch-Day Ops Addendum (2026 field data)
99
+
100
+ ### Hour-by-hour support hygiene
101
+
102
+ 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.
103
+ 2. If the count drops, pause amplification and audit sources. Do not compensate with another blast.
104
+ 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.
105
+
106
+ ### Decide which badge you're buying before you spend
107
+
108
+ 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.
109
+
110
+ ### Budget and fit reality check
111
+
112
+ - Do not infer a universal spend-to-vote rate. Historical outcomes varied by audience fit, account quality, assets, timing and platform review.
113
+ - 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.
114
+ - 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.
115
+ - 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.
116
+
117
+ ### Split launch day and leaderboard day
118
+
119
+ 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.
120
+
121
+ ## Evidence-backed operating sequence
122
+
123
+ 1. **T−21 to T−14:** make the maker profile credible through normal participation; finalize positioning and audience fit.
124
+ 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.
125
+ 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.
126
+ 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.
127
+ 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.
128
+
129
+ 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.
130
+
131
+ Source notes and field-case boundaries: `references/iris-field-notes.md`.
132
+
133
+ ## Related Skills
134
+
135
+ - [gingiris-launch](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gingiris-launch) — Full GTM playbook
136
+ - [gingiris-opensource](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gingiris-opensource) — OSS marketing
137
+ - [gingiris-b2b-growth](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gingiris-b2b-growth) — B2B SaaS growth
138
+
139
+ ---
140
+
141
+ *Author: Iris (生姜iris) | [gingiris.tools](https://gingiris.tools)*
142
+
143
+ ---
144
+
145
+ ## 🔗 About the Author
146
+
147
+ **Iris Wei** — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars).
148
+
149
+ - 🐦 Twitter: [@WeiYipei](https://twitter.com/WeiYipei) — Daily growth tactics
150
+ - 💬 Consulting: [@Iris_carrot on Telegram](https://t.me/Iris_carrot)
151
+ - 🛒 Premium (templates + case studies): [Get on Gumroad](https://gingiris.gumroad.com/l/zxamur)
152
+ - 📦 Full Bundle ($249): [All 5 Playbooks](https://gingiris.gumroad.com/l/gingiris-complete-global-launch-bundle)
153
+ - 📚 40+ Free Playbooks: [gingiris.tools/skills](https://gingiris.tools/skills/)