30DaysOfAI（100 School AI 挑战）记录了 26,006 月访问量，月度环比增长为 +591.8%，定价为免费增值。RunningHub 记录了 3,105,554 月访问量，增长率为 -28.5%，定价为免费增值。
用每日邮件挑战，把对 AI 的好奇变成能落地的职场习惯
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | 100school.com | runninghub.ai |
| 定价模式 | 免费增值 | 免费增值 |
| 月访问量 | 2.6万 (26,006) | 310.56万 (3,105,554) |
| 月度环比流量变化 | +2.22万 (+591.8%) | -123.77万 (-28.5%) |
| 主要市场与份额 | 🇬🇧 英国 (79.5%) | 🇨🇳 中国 (52.7%) |
| 直接访问 / 月 | 1.8万 | 229.72万 |
| 用户评分 | 3.9 | 4.4 |
| 支持的平台 | 网站 | 网站 |
用每日邮件挑战，把对 AI 的好奇变成能落地的职场习惯
每个工作日早晨推送一节短课，学习进度可以嵌入工作日节奏，而不是与工作抢夺时间。
用 AI 思考、用 AI 创造、与 AI 共事：从基础认知到自动化再到长期习惯，而非零散地试用工具。
每节课都要求你把 AI 用到自己岗位的实际事务上，结束后留下的是能继续复用的成果与工作流。
通过销售沟通可安排结构化团队集训，让整个组织使用同一套课程、保持同步节奏与共同目标。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
专项更强可安全商用的生成式 AI 工作空间，覆盖图像、视频、音频、矢量与多模型创意生产。
专项更强面向电影级视频与图像的 AI 原生创作套件
专项更强Civitai is a community-driven hub where people share, discover and run open-source image, video and 3D AI models, generate art in the browser, and compare LoRAs, checkpoints and workflows.
一站式 AI 视频、图像与智能体内容创作工作室
专项更强面向图像与视频的实时生成式 AI 工作室
专项更强在浏览器中免费生成 AI 图像与视频，并托管模型
专项更强Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
专项更强Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
