gr-ph-launch

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Original

English
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Translation

Chinese

⚠️ 2C 产品慎用 Product Hunt

⚠️ Caution for 2C Products on 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
)。

This skill defaults to dev / maker / B2B audiences. 2C consumer goods / education / apps / games: Product Hunt's audience is makers/tech professionals, which mismatches with ordinary consumers and results in extremely low ROI — at most, launch once to get a badge. Please shift your focus to vertical communities (Reddit / Xiaohongshu / Zhihu / Naver 카페) + short videos (TikTok / Douyin / YouTube) + vertical KOLs, and use "free products as hooks" for conversion. Complete 2C channel database (country-specific MAU + public sources) + three-way Launch fork see →
gingiris-seo-geo/references/2c-adaptation.md
(and
gingiris-launch
).

gr-ph-launch — Product Hunt 发布

gr-ph-launch — Product Hunt Launch

深度参考

In-depth References

详细方法论与案例库见:
  • references/framework.md
    —— 14 天时间线 + 5 大板块
  • references/hunter-playbook.md
    —— hunter 选择矩阵
  • references/maker-comment.md
    —— maker comment 6 种模板
注:首次使用时 Claude 应读
references/framework.md
再开始。

Detailed methodology and case library:
  • references/framework.md
    — 14-day timeline + 5 core sections
  • references/hunter-playbook.md
    — Hunter selection matrix
  • references/maker-comment.md
    — 6 maker comment templates
Note: Claude should read
references/framework.md
first before using this skill for the first time.

14 天时间线(精简版)

14-Day Timeline (Simplified Version)

T-14:准备

T-14: Preparation

  • 产品页面就绪(落地页、定价、FAQ)
  • 已有 ≥ 100 早鸟用户 + 邮箱列表
  • 选 1 个 hunter(优先级:活跃 > follower 数)
  • 筹备 3 张主 gallery 图 + 1 个 30 秒 demo video
  • Product page ready (landing page, pricing, FAQ)
  • Have ≥100 early adopters + email list
  • Select 1 hunter (priority: activity > follower count)
  • Prepare 3 main gallery images + 1 30-second demo video

T-7 到 T-2:预热

T-7 to T-2: Pre-warming

  • PH discussion 板块发 1 篇"we're launching, AMA"
  • Twitter / LinkedIn / Reddit 预告(不贴 launch 页面链接,避免抢流量)
  • Newsletter 给用户打招呼
  • 确认 hunter 时区 + 发布时间(PST 00:01)
  • Post a "we're launching, AMA" in PH discussion section
  • Tease on Twitter / LinkedIn / Reddit (do not post launch page link to avoid traffic diversion)
  • Greet users via newsletter
  • Confirm hunter's time zone + launch time (PST 00:01)

T-1:终检

T-1: Final Check

  • 所有 asset 最终版锁定
  • 准备 first comment 文稿(500 字以内)
  • 准备 10 条可能的 FAQ 回复模板
  • 联系 10-20 个核心支持者提醒明早
  • Lock all final versions of assets
  • Prepare first comment draft (within 500 words)
  • Prepare 10 possible FAQ response templates
  • Contact 10-20 core supporters to remind them of tomorrow morning

T-0:发布日

T-0: Launch Day

  • 00:01 PST hunter 发布
  • 00:15 maker(你)发 first comment
  • 整天:每 30 分钟回一批评论;不刷 upvote
  • 14:00 PST:peak time,推 second wave(通讯录 + community)
  • 23:00 PST:总结发一条感谢帖
  • 00:01 PST Hunter launches the product
  • 00:15 Maker (you) posts first comment
  • All day: Reply to batches of comments every 30 minutes; do not刷 upvote
  • 14:00 PST: Peak time, push second wave (contact list + community)
  • 23:00 PST: Post a thank-you note to summarize

T+1 到 T+7:momentum

T+1 to T+7: Momentum

  • 回完所有评论(包括差评)
  • 把 PH featured 截图 + 数据做成 case study
  • 若进入 daily #1 → 做一篇"how we won"博客(
    gr-blog-post
    )
  • 将所有 upvoter 邮箱导入用户池

  • Reply to all comments (including negative ones)
  • Create a case study with PH featured screenshot + data
  • If ranking daily #1 → Write a "how we won" blog post (
    gr-blog-post
    )
  • Import all upvoters' emails into user pool

Hunter 选择矩阵

Hunter Selection Matrix

优先级标准
P0最近 30 天有成功 hunt 且产品领域相似
P1Follower 1k+ 且活跃(每周发帖)
P2跟你有真实社交关系(聊过、共同朋友)
❌Follower > 50k 但已 6 个月没 hunt
搜 hunter:
https://www.producthunt.com/@<category>-hunters

PriorityCriteria
P0Has successful hunts in the last 30 days and operates in similar product domains
P11k+ followers and active (posts weekly)
P2Has real social connections with you (talked before, mutual friends)
❌>50k followers but hasn't hunted in 6 months
Search hunters:
https://www.producthunt.com/@<category>-hunters

Maker Comment 6 种模板

6 Maker Comment Templates

(详见
references/maker-comment.md
)
  1. Founder story:为什么做 → 你的痛 → 解法
  2. Before / After:有你的产品前 vs 后,对比鲜明
  3. Key stats hook:一个爆炸性数据开头
  4. Honest limitation:承认产品还不完美,显得真实
  5. Community thanks:感谢参与测试的用户(点名 @)
  6. Tech stack pride:讲技术选型(适合开发者向产品)
选哪个:看目标受众。To dev → 6;to general → 1 或 3。

(See details in
references/maker-comment.md
)
  1. Founder story: Why you built it → Your pain point → Solution
  2. Before / After: Contrast between life without your product vs with it
  3. Key stats hook: Start with an explosive data point
  4. Honest limitation: Admit the product isn't perfect to appear authentic
  5. Community thanks: Thank beta users (tag @ specific users)
  6. Tech stack pride: Talk about tech stack selection (suitable for developer-focused products)
Which to choose: Depends on target audience. For devs → 6; for general audience → 1 or 3.

反踩雷清单

Risk Avoidance Checklist

  • ❌ 不要在 launch 当天还在改产品(flaky)
  • ❌ 不要让家人朋友刷 upvote(PH shadowban 很快)
  • ❌ 不要在 first comment 留外部链接(触发审核降权)
  • ❌ 不要忘记 mobile 截图(40% 流量来自手机)
  • ❌ 不要硬撑 daily #1,#2-#3 也是成功(且少被喷)

  • ❌ Don't modify the product on launch day (flaky)
  • ❌ Don't ask family/friends to刷 upvote (PH shadowban is fast)
  • ❌ Don't include external links in first comment (triggers review and demotion)
  • ❌ Don't forget mobile screenshots (40% of traffic comes from mobile)
  • ❌ Don't force daily #1, #2-#3 are also successes (and less likely to be criticized)

上票控速红线(2026 实测更新)

Upvote Speed Red Line (Updated with 2026 Tests)

  • 总量 ≤100 票/小时、单一渠道 ≤30 票/小时——PH 约每 2 小时清一次可疑票,突刺会被剥掉
  • 支持者用**手机 + 蜂窝数据(4G)**投票,别挤同一个办公室 Wi-Fi
  • badge 曝光分层:周榜 ≈ 日榜 7 倍、月榜 ≈ 30 倍——先定冲哪个榜再定节奏;冲月榜选每月第二/三周的周二

  • Total ≤100 votes/hour, single channel ≤30 votes/hour — PH clears suspicious votes every ~2 hours, sudden spikes will be removed
  • Supporters should vote via mobile + cellular data (4G), don't use the same office Wi-Fi
  • Badge exposure tiers: Weekly list ≈7x daily list, monthly list≈30x daily list — Decide which list to target first to set rhythm; choose Tuesday of the second/third week of the month for monthly list

Go / no-go:预算分级基准

Go / No-go: Budget Tier Benchmark

预算现实产出
~$1K小几百注册(跳过 PH,直接 KOC + 垂直社区)
$5K24h 约 1,800 票可达——实战案例:冲上日榜第一后被 PH 事后清票收回。控速红线必须遵守
$1–2 万~100 万曝光 + 小几千注册
预算不高别卷 PH:同预算给 ~10 个 Twitter KOL/KOC 曝光和注册都更高——PH 曝光→upvote 转化仅 ~1%,Reddit 开源宣发曝光→star 转化 5–8%。

BudgetRealistic Output
~$1KA few hundred sign-ups (skip PH, go straight to KOC + vertical communities)
$5K~1,800 votes in 24h achievable — Practical case: Reached daily #1 then had votes cleared by PH afterwards. Must follow speed red lines
$1–20K~1M impressions + a few thousand sign-ups
Don't compete on PH with low budget: Same budget gives higher impressions and sign-ups from ~10 Twitter KOLs/KOCs — PH impression→upvote conversion is only ~1%, while Reddit open-source promotion impression→star conversion is 5–8%.

发布日流量倒排法

Launch Day Traffic Reverse Planning Method

先定总流量盘子 → 拆每渠道硬数字 → 每渠道 UTM 短链归因。 实测(某 AI Agent 产品,2025-12):50 万流量 = 40 万 Twitter(40 红人 quote)+ 2 万 Reddit + 2 万 YouTube 投流 + 2 万群组 + 其余 → 约 800 注册、CAC $6.25。
进阶节奏:双日结构(发布日一半红人导官网、打榜日另一半导 PH);KOL 集中爆破(50–100 个 KOL 约定 24–48h 内密集发布)。

First set total traffic target → Break down hard numbers per channel → Attribute via UTM short links per channel. Test data (an AI Agent product, Dec 2025): 500K traffic = 400K from Twitter (40 influencer quotes) + 20K from Reddit + 20K from YouTube ads + 20K from groups + others → ~800 sign-ups, CAC $6.25.
Advanced rhythm: Two-day structure (half influencers direct to official website on launch day, half direct to PH on ranking day); KOL concentrated burst (50–100 KOLs agree to post intensively within 24–48h).

级联推荐

Cascade Recommendations

  • 发布日 + 24h →
    gr-seo-patrol
    监控"<product name> product hunt"等关键词排名
  • 上 daily #1 后 →
    gr-blog-post
    写一篇"how we won"并设 canonical 为主
  • 评论有大量质疑 →
    gr-user-interview
    启动正式访谈

  • Launch day +24h →
    gr-seo-patrol
    to monitor keyword rankings like "<product name> product hunt"
  • After reaching daily #1 →
    gr-blog-post
    to write a "how we won" post and set canonical to main site
  • If there are lots of doubts in comments →
    gr-user-interview
    to start formal interviews

API 依赖

API Dependencies

ServiceEnv var
Product Hunt(公开页爬取)无(用 web-access skill)
GitHub PAT(博客联动)
GITHUB_TOKEN
ServiceEnv var
Product Hunt (public page crawling)None (use web-access skill)
GitHub PAT (blog linkage)
GITHUB_TOKEN