
Free n8n & Make workflow optimization | kipn.ai
粘贴 n8n 或 Make 工作流 JSON,获得可靠性、成本和安全分析。
@dash12_dev · X
analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.
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粘贴 n8n 或 Make 工作流 JSON,获得可靠性、成本和安全分析。
@dash12_dev · X
analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

Scoply 从会议记录生成范围蔓延风险警报。
@theshaunak_twit · X

用可视化无代码构建器创建和部署 AI 工作流及智能体。
@RanRan1357699 · X
Just shipped a smart guardrail in experiments: if your flow needs test data, it now blocks runs with a friendly prompt and offers one-click AI-generated samples. No more silent all-fail runs! Small details, big peace of mind. #BuildInPublic

浏览和管理50,000+个AI提示词库,优化工作流程。
@iPranayJoshi · X
Would be honoured to come join! Built talk about vibe coding at

连接工作工具,用 AI 分析团队冲刺回顾,发现改进机会。
@akadhanu · X
an ai sprint retrospectives for it teams (

Boilerroom 整合销售勘探、拨号、通话录音和自动跟进。
sadidrahimi · HN
hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funnel like discovery calls, demo calls, and post-sales activities what absolutely does not exist (or if it does, a piss-poor model) is a place to simply execute this work in one place why tf do i have to be on clay, or apollo, clicking around looking for leads, researching them around myself, put them in to some other garbage software to sequence to tell me when to make a call or send out automated emails, only to get a massive backlog of things I was supposed to do, which in turn makes my whol

在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

提供60+个滚动驱动分区过渡效果的React库,用于现代网站。
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀

分析并优化你的内容在 ChatGPT、Perplexity 等 AI 搜索引擎中的表现。
@BayofDomain · X

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

RankWorker 自动生成 SEO 内容以增加有机流量,专注业务运营。
@st0yanov · X