Base44 记录了 14,039,232 月访问量,月度环比增长为 +0.5%,定价为免费增值,付费,定价请咨询。iftrue 记录了 475 月访问量,增长率为 +3.9%,定价为定价请咨询。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | base44.com | iftrue.co |
| 定价模式 | 免费增值,付费,定价请咨询 | 定价请咨询 |
| 月访问量 | 1403.92万 (14,039,232) | 475 (475) |
| 月度环比流量变化 | +7.46万 (+0.5%) | +18 (+3.9%) |
| 主要市场与份额 | 🇺🇸 美国 (32.1%) | 🇹🇷 土耳其 (100%) |
| 直接访问 / 月 | 781.66万 | 196 |
| 用户评分 | 4.4 | 4.2 |
| 支持的平台 | 网站 | 网站 |

用一句话描述就能构建可用的应用、网站与 AI 智能体
描述一个想法即可得到已配置数据库、身份验证、支付与托管的应用,无需搭建服务器或基础设施。
生成包含布局、文案与设计的完整网站,并内置 SEO 工具与自定义域名支持,一键即可发布。
创建 7×24 小时运行的 AI 智能体,连接你的工具、执行真实操作、管理数据并自动完成重复工作流。
可连接 Google Calendar、Gmail、Slack、Notion、HubSpot、Salesforce 等,其他服务通过 API 接入。

将 AI 治理与工程智能汇成一个信号
逐 PR 的归属分析可识别哪些代码行由 Copilot、Cursor、Claude 或人工编写,让你量化 AI 的投资回报,而不是空谈。
从你现有技术栈自动追踪部署频率、前置时间、变更失败率和 MTTR,并基于真实历史速度预测迭代结果。
Slack 内的 AI 聊天机器人配合实时提醒,让洞察出现在工程师本就打开的工具中,无需再查看新的仪表盘。
追踪评审负载、工作负载趋势与倦怠风险,并用具体的要点、成果和风险来准备一对一沟通与每日同步。

专项更强An AI-native code editor offering deeper multi-file control, but demands more developer experience than zero-code platforms.

专项更强Transforms spreadsheets into interactive business apps easily, but lacks the raw code generation flexibility of full-stack AI builders.
Turns conversational prompts into published web and mobile apps, but has fewer enterprise-grade scaling templates.

专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.
专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.

免费 / 开源SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
免费 / 开源SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.