吸引用户的文案库 / Launch hooks library
June 11, 2026 · View on GitHub
[中文说明 + 英文文案，粘贴即用。配合各仓库 docs/LAUNCH.md 使用。]
转化原理（为什么这样写）
开发者只给你 3 秒。能转化的文案结构永远是：
- 痛点共鸣（3 秒）——说出他正在忍受的事，用他的语言，不解释产品
- 差异化承诺（10 秒）——一句话说清"和别人反着来"的立场
- 可见证据（30 秒）——一条命令 + 一个看得见的结果（分数上升、$ 数字、瀑布图）
- 零门槛行动——
npx一条命令，不注册、不配置
反面清单：不堆形容词（"powerful/seamless"是噪音）、不先讲架构、不在标题里塞三个卖点（一个钩子就够，其余留给评论区）。
🧠 engram
痛点句（开场白，HN 首评/Reddit 首段可用）：
Your notes are a second brain you can't query. Every tool that can query them wants them uploaded first.
HN 标题候选（80 字符内；A 为默认，反响平淡时换 B/C 再战别的渠道）：
- A（隐私钩）:
Show HN: Engram – a local, private memory layer for your notes (and your agents) - B（自我进化钩）:
Show HN: Engram – local memory for agents that gets better the more you use it - C（反潮流钩）:
Show HN: I built AI memory that never leaves your laptop (zero deps, BM25 + time)
30 秒证据（评论区被质疑"又一个 RAG 玩具"时直接贴）：
$ npx @jnmetacode/engram recall "what did I decide about pricing"
0.96 notes/pricing.md:1-6 2026-05-20 ← cited, dated
$ npx @jnmetacode/engram reinforce "what did I decide about pricing" pricing.md
$ npx @jnmetacode/engram recall "what did I decide about pricing"
1.09 notes/pricing.md:1-6 2026-05-20 ← it learned
一句话差异化（被问"vs Mem0/Zep/Letta"时）：
They're hosted memory platforms; engram is a local file you can
cat. No account, no SDK, works offline with zero models — and recall is self-improving without any of your data leaving the machine.
🍳 skillet
痛点句：
Agent skills are everywhere now. Sharing them is still copy-paste from random repos, with no versions and no way to find what exists.
HN 标题候选：
- A（类比钩，默认）:
Show HN: Skillet – npm for AI agent skills (zero-infra, Git-backed registry) - B（机制钩）:
Show HN: A package manager for agent skills where the registry is one JSON file
30 秒证据：
$ npx @jnmetacode/skillet add pdf
✓ installed pdf → .claude/skills/pdf
pinned 5754626 in skillet.lock.json ← reproducible, like npm ci
一句话差异化：
shadcn-style: the skill is copied into your repo where you can read and edit it — pinned to a commit SHA, reproducible for your whole team. The registry has no backend to trust or to die.
🔭 tracelet
痛点句（这是三个里共鸣最强的，先发评论区必引发"+1"）：
Your agent is a black box. It calls an LLM, the LLM asks for a tool, the tool returns something weird, the next call does something dumb — and all you see is the final answer.
HN 标题候选：
- A（类比钩，默认）:
Show HN: Tracelet – local-first DevTools for AI agents (npx, no account) - B（Network 面板钩）:
Show HN: The Network tab for AI agents – every prompt, token and $ locally
30 秒证据：GIF 本身（trace 实时流入 + ~\$0.0039 成本徽章）。文字版：
npx @jnmetacode/tracelet, point any OTel exporter at :4318, and watch the execution tree stream in — prompts, tokens, the tool call that errored, and what the run cost.
一句话差异化：
Langfuse/Phoenix are production warehouses. tracelet is the thing you keep open in a second window while building — in-memory, zero-dep, gone when you close it (unless you
--persist).
🛠️ 套件级（umbrella / 插件 / X bio）
一句话（X bio、README tagline、HN 评论区点题）：
Memory, skills, and eyes for your agent — zero deps, MCP-native, and nothing ever leaves your machine.
进化闭环叙事（评论区讲"三件套为什么是一个体系"）：
tracelet is the senses, engram is memory that gets sharper with use, skillet is where lessons become instincts. The
self-evolveskill wires them into one loop: observe the run → distill the lesson → remember it → reinforce what proved right → recall it next time. All local.
Claude Code 人群的钩子（r/ClaudeAI 等）：
One command gives your agent persistent memory + a skill manager:
/plugin marketplace add jnMetaCode/local-agent-toolkit
发帖节奏提醒（详见各 docs/LAUNCH.md）
- HN：周二/周三 8am PT；正文发首评；前 3 小时每评必回
- 标题只用一个钩子；第二个卖点放正文第一段；第三个留给评论区"补刀"
- 每个回复结尾都自然带回 30 秒证据或 GIF，不空辩