
AI Todo - AI Planning Assistant
AI Todo 用智能方式将目标分解为可行步骤,优化任务优先级。
AI Todo — 像很多程序员一样,我日常要兼顾工作任务、生活琐事、项目计划,时常感到事情多但漏掉的也不少。想用智能方式管理这些待办,但市面上的工具要么设计臃肿,要么 AI 能力很弱。于是我花了几周开发了 AI Todo,目标是:
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AI Todo 用智能方式将目标分解为可行步骤,优化任务优先级。
AI Todo — 像很多程序员一样,我日常要兼顾工作任务、生活琐事、项目计划,时常感到事情多但漏掉的也不少。想用智能方式管理这些待办,但市面上的工具要么设计臃肿,要么 AI 能力很弱。于是我花了几周开发了 AI Todo,目标是:

使用 Claude Code 工作流从终端发布 AI 生成的计划
@discorev · X
I've been working on - Using gpt-5.6-sol and Fable in Claude Code via CLIProxyAPI. I've found using these two together with Claude Code Workflows is a killer combination

Drift is a personal productivity and planning application that helps people organize tasks, calendar events, and important email into clear next steps.
@aryanm01 · X

用 Onbookr 管理预约、同步日历、自动发送提醒。
@helloukey · X

在统一仪表板中为 11+ 个社交平台排期和发布帖子。
@AmeerHaio · X
your content everywhere!

通过蒙特卡洛分析模拟退休计划,查看达成目标的概率。
u/Negative-Ticket-9716 · Reddit
I open-sourced a free retirement planner with real Monte Carlo simulation (React + Supabase + edge functions) I built a free retirement planning tool that runs the analysis financial advisors charge $2,000+ for: a 10,000-trial Monte Carlo simulation over your savings, allocation, and withdrawal plan — probability of success instead of a single-point guess. It also models Social Security claiming ages, Roth conversions, and has a stress test that replays 2008, 1970s stagflation, and the Lost D


使用模板、电子签名和分析功能创建商业提案
@propelio_app · X
Hey man, Building Propelio, proposals for freelancers Let’s connect!

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

在最优时间用AI辅助批量发布到X的帖子
@zsh89821970 · X
做了一个新小项目 🛠️ Sent2X — AI 驱动的 X/Twitter 定时发帖工具。用 AI 生成一批帖子,一键导入,定时自动发布。不用每天蹲在 X 上。 👉


AIWMC Quantis:90秒内AI分析商业创意的财务预测和风险场景。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.