
更专注结构化思维导图与流程图,但缺乏 Miro 庞大的模板库和企业级工作坊功能。
#1Miro 记录了 30,749,206 月访问量,月度环比增长为 +1.7%,定价为免费增值,定价请咨询。N71(tlc.ai)记录了 0 月访问量,增长率为 0%,定价为付费,定价请咨询。
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | miro.com | n71.ai |
| 定价模式 | 免费增值,定价请咨询 | 付费,定价请咨询 |
| 月访问量 | 3074.92万 (30,749,206) | 0 (0) |
| 月度环比流量变化 | +50.51万 (+1.7%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (19.4%) | 🌐 全球 (—) |
|---|
| 直接访问 / 月 | 2017.96万 | 0 |
|---|
| 用户评分 | 4.5 | 4.1 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
Miro is a collaborative visual workspace where distributed teams diagram, plan, and run workshops on an infinite canvas, now enhanced with AI that can generate diagrams, summaries, and prototypes from board content.
An infinite multiplayer board where cursors, comments, and live editing let remote and hybrid teams work in the same space simultaneously.
Docs, Tables, Slides, Kanban, and Timelines live alongside freeform drawing so a workshop can turn directly into a structured plan.
Generate diagrams, tables, and summaries, remove image backgrounds, and connect external AI assistants through the MCP server.
6,000-7,000+ templates for brainstorming, workshops, roadmapping, and process mapping give teams a running start.
让每个模型 token 产出更多——LLM 成本最多降低 30%+
置于应用原本调用的模型 API 之后,保留现有模型客户端、提示词与会话流程,无需重写。
可配合你已在使用的多家 LLM 供应商,而不把你锁定在单一厂商或模型家族上。
公司称可实现 30%+ 的模型成本下降,并提供文档与基准方法,方便用自有请求验证效果。
公开的基准说明了节省如何计算,包括对比双方的模型调用、处理、校验与重试。

更专注结构化思维导图与流程图,但缺乏 Miro 庞大的模板库和企业级工作坊功能。
#1免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
#2
专项更强Features a spatial visual canvas integrated with multi-model chat agents, but less focused on team workshop facilitation.
专项更强Converts natural language conversations directly into structured mind maps, though offering less versatile general drawing tools.
免费 / 开源面向生产级 LLM 应用的 AI 网关、可观测性与防护栏
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
提供类似的协作在线白板体验与强大的 AI 图表功能,但企业集成选项较少。
专项更强Features a spatial visual canvas integrated with multi-model chat agents, but less focused on team workshop facilitation.
免费 / 开源面向编码智能体的 Fast Apply 与智能体调优推理
将白板与文档结合在同一个云端工作区中,不过生态系统比 Miro 小。
专项更强专注于 UI 线框图与白板协作,但不太适合大型企业项目规划。