
什么值得做 Stringers
io.github.komako-workshopPublished by GitHub account komako-workshopv0.2.0Updated Nov 4, 2026
Daily verdicts on which small-product directions are worth building, from 15 data libraries
Overview
Stringers (什么值得做) gives an assistant daily, evidence-backed verdicts on which small-product directions are worth building, plus read-only queries into 15 data…
- What you can do
- Read today's briefing with headline picks, grades, reasoning and links
- List all ~90 directions as one-line summaries, filtered by grade or keyword
- Open one direction's full verdict: conclusion, why that grade, where the money is, who is building it, and what would prove it wrong
- Query the underlying libraries read-only (indie revenue, app store charts, ad libraries, GitHub, Product Hunt, Hacker News, X), starting with each library's schema and coverage
- When to use it
- For indie developers and small teams deciding what small product to build next, or checking whether a niche is already crowded or monetized. Useful when you want the assistant to combine graded verdicts with raw market data and your own situation (skills, team size, platform, monetization).
- Requirements
- A remote Streamable HTTP endpoint at stringers.io/mcp/ with a personal token obtained by logging in with a phone number and verification code; the token is part of the URL. Content is in Chinese. An optional Python CLI can run it over stdio for clients that only support local commands.
Installation
In SourceWeft
- Open 什么值得做 Stringers in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Follow the launch instructions in the repository.
README
stringer:把「什么值得做」接进你的 agent
什么值得做 每天回答一个问题:一两个人、几个月,现在做什么小产品最可能赚到钱。
我们每天采集 15 个库:独立产品经支付平台校验的真实收入、App Store 115 个区和 Google Play 的榜单、Meta / Google / TikTok 广告库、GitHub、Product Hunt、Hacker News、X 上几个圈子……在这上面写了约 90 个方向的判断,每个方向一篇长文、一个评级,每天复查。
网页上是写好的判断。接进你自己的 agent(Claude Code、Cursor、Codex、Trae……)之后,它能读这些判断,也能直接去查背后的库,再结合你自己的情况回答。
这个仓库是接入用的那一层:说明、Claude Code 插件、skill、命令行。采集和服务端不在这里。
English: Stringers (「什么值得做」, stringers.io) publishes daily, evidence-backed verdicts on which small-product directions are worth building for indie developers and small teams, drawn from 15 data libraries collected every day (payment-verified indie revenue, App Store / Google Play charts, Meta / Google / TikTok ad libraries, GitHub, Product Hunt, Hacker News, X). This repo connects it to your agent: a remote MCP server (
https://stringers.io/mcp/{token}, toolstoday/directions/direction/data), a Claude Code plugin, an Agent Skill and a CLI. Content is in Chinese; get a token by logging in at stringers.io.
30 秒接上
- 打开 stringers.io,右上角登录(手机号 + 验证码,未注册的自动建号)。
- 点配置 agent,复制那段话,发给你的 agent。
- 它自己把配置加好。接通以后直接问。
不用往终端里贴命令。那段话里有你的专属地址,长这样:
这个地址就是你的 token,别发到公开的地方。泄露了在「配置 agent」里点「换一个新地址」,旧的立刻失效。
Claude Code 插件
已经有 token(登录后「配置 agent」里那个地址,/mcp/ 后面 wt_ 开头的一段),在 Claude Code 里:
安装时会问 token。MCP 和 skill 一起装好。
手动配置
agent 改不了自己的配置,或者你想自己来,按客户端加一个远程 MCP 服务器:名字 stringer,类型 Streamable HTTP,地址填上面那个。
Claude Code
Cursor:~/.cursor/mcp.json
Codex:~/.codex/config.toml
Trae / Windsurf / Cherry Studio 等:设置里添加 MCP 服务器,类型选 Streamable HTTP(或「可流式传输的 HTTP」),填地址。只认 JSON 的,用上面 Cursor 那段。
只支持本地命令(stdio)的客户端:装下面的命令行,配置成运行 stringer mcp。
能问什么
- 最近有什么适合用来练手的独立开发项目?
- 今天的头条是什么?跟我有没有关系?
- 我想做一个给 Claude 用的 MCP 工具,这个方向现在谁在做、赚到钱了吗?
- 最近 30 天收入涨得最快的 AI 视频类独立产品是哪几个?各自怎么获客的?
- 按我的情况出一份今天的简报:只看适合 iOS 独立开发、不碰买量的方向。
工具
评级 = 成功率:一两个人、几个月,把它做出来并赚到钱的概率。主看窗口期(是不是刚起来)和有多赚钱(有没有校验过的实收、有几家在赚)。
S 正在爆发 · A 值得一试 · B 可能有机会 · C 值得参考(方向别照做,打法值得学) · D 希望较小 · E 不太靠谱
能查的库
各库的表、字段、口径和边界,让 agent 用 data 查 schema;数据到哪天看 stringers.io/status.html。
限额
测试阶段免费。每个 token 每天查库 200 次,其中 X 实时查询 50 次;每次结果最多 50 行。判断层(today / directions / direction)不算在查库次数里。
我们会记下你的 agent 查了什么,以及它转述的「你这次想弄清什么」(工具的可选参数 ask,一句话、不带个人信息),用来知道大家关心什么、该补哪些数据;手机号只用来认出你。这些都不会公开。
命令行(可选)
一个 Python 文件,只用标准库。
today / list / show / status 不要 token。
skill(可选)
skills/stringer/SKILL.md 教 agent 怎么用这些判断:四种常见问法怎么答、评级怎么转述、什么时候去查库。接了 MCP 就够用;想让回答更稳,再装它:
- Claude Code:装上面的插件就带了;或者把
skills/stringer/拷到~/.claude/skills/stringer/ - Cursor:内容放进
.cursor/rules/stringer.mdc
没接 MCP 也能用:skill 会让 agent 直接读站点的公开 json(/api/today.json、/api/all.json),只是查不了库。
反馈
数字不对、某个方向判断错了、想要哪个库、哪个客户端接不上:开 issue。
许可
本仓库代码 MIT。网站上的文章、判断和数据版权归「什么值得做」所有,引用请注明出处并附链接。
Source: README.md at commit ff0e8d0
Tools
0Version history
1- v0.2.0LatestNov 4, 2026
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