
Pullboard — Your agents already know what's next
为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk
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为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk

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@Rehman68128710 · X
I Made an AI support bot — just feed it your website or a doc and it's ready to answer customer questions.

TODO for AI - 自动化邮件、文档检索和发票等日常公司任务的AI代理。
@cviklihamar · X
here 🙌 let's connect! - an ai agent that clears your team's todos (ships code, runs your tools). let's connect!


按职业场景语义搜索 AI Skills,保存收藏集,一键装入 Claude Code。
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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:

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Unrot:每日编程挑战助你保持开发技能敏锐,享受AI辅助和连续打卡。
u/Administrative_Egg78 · Reddit
I built this because AI was making me a dumb&lazy engineer I noticed something sad about how I use AI. I was shipping faster, but practicing less. I could get answers quickly, but I was losing the habit of working through the fundamentals myself. So I built Unrot: short daily challenges for developers across languages, system design, architecture, data engineering, and other tracks. Game/xp and rewards system, a tiny bit competitive. No signup required to try it: https://unrot.dev

与多个 AI 模型聊天,进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

与AI聊天自动调研、撰写和生成排版好的小册子。
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