
Frugal Tokens
Frugal Tokens – explore costs and usage across coding agents
dpc94 · HN
Frugal Tokens – explore costs and usage across coding agents
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Frugal Tokens – explore costs and usage across coding agents
dpc94 · HN
Frugal Tokens – explore costs and usage across coding agents

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

BrowseWell 是一款 Chrome 扩展程序,在保持所需网站访问的同时屏蔽干扰。
@mashrurio · X

AI平台计划个性化课程,仅根据证实的进度推进教学。
rodoherrera · HN
Pollium – A new way to study with AI

创始人分享创意、与联合创始人和投资者合作、用AI验证初创概念的平台。
@MinaDvoider · X
Let’s connect

在一个应用中跟踪时间、管理项目并为自由职业者生成发票。
u/AstronomerGreedy · Reddit
I got tired of juggling 4 different tools to run my freelance business, so I built one that does it all. I'm a freelancer, and for a couple of years my business ran on duct tape: one app for time tracking, another for invoicing, a separate e-sign tool for contracts, and a spreadsheet to check if I was actually making money that month. So over the past few months I built Workey (React + TypeScript + Supabase) — one dashboard for the whole "get paid" loop: - Time trackin

通过每用户仪表板跟踪 Claude Code 的使用情况、成本和团队生产力。
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel

上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

一站式生活管理平台,整合习惯、任务、健康、财务和日历于加密工作区。
@nisthabee · X


在AI助手间共享上下文,让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.