具备更强大的全栈 React 界面生成与 UI 自定义能力,但复杂应用程序仍需类似的 Token 管理。
Krashless 记录了 0 月访问量,月度环比增长为 0%,定价为免费增值。NxCode 记录了 227,078 月访问量,增长率为 -16%,定价为免费增值。
Krashless is a no-code platform for launching your own generative AI product. Instead of building chat interfaces, prompt pipelines and billing from scratch, you configure an AI app on Krashless - picking your model, writing the prompts and connecting payment - then publish it to your own audience under your own brand.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | krashless.com | nxcode.io |
| 定价模式 | 免费增值 | 免费增值 |
| 月访问量 | 0 (0) | 22.71万 (227,078) |
| 月度环比流量变化 | 0 (0%) | -4.34万 (-16%) |
| 主要市场与份额 | 🌐 全球 (—) | 🇰🇷 韩国 (10.5%) |
| 直接访问 / 月 | 0 | 3.39万 |
| 用户评分 | 3.8 | 4.3 |
| 支持的平台 | 网站 | 网站 |
Krashless is a no-code platform for launching your own generative AI product. Instead of building chat interfaces, prompt pipelines and billing from scratch, you configure an AI app on Krashless - picking your model, writing the prompts and connecting payment - then publish it to your own audience under your own brand.
Stand up an AI product through configuration rather than development, so prompt design and model choice replace backend engineering.
Choose and configure the language model behind your product so it fits your use case and budget.
Charge your own customers for access, with Stripe integration handling subscriptions and payments.
Offer a branded chatbot or assistant that your users interact with directly.

用自然语言描述想法,让 AI 构建、测试并部署你的应用
Conductor 智能体负责规划与编排任务,Virtuoso 智能体负责执行代码,力求产出可用于生产的成果而非一次性原型。
代码在隔离的开发容器中运行,而非浏览器沙箱,因此应用在整个构建过程中都像真实软件一样运行。
每项任务都会依据验收标准进行检查,错误会被自动发现并修复,最多迭代三次。
可直接在控制台将完成的应用发布到 Cloudflare 边缘网络,部署次数与所选方案挂钩。
具备更强大的全栈 React 界面生成与 UI 自定义能力,但复杂应用程序仍需类似的 Token 管理。
专项更强用一句话生成原生 iOS、Android 与网页应用的 AI 无代码构建器
专项更强Provides deeper visual low-code customization and code exports, but requires more manual layout configuration.
Better support for production-ready code architectures and enterprise codebases, but less conversational flexibility.
Better support for production-ready code architectures and enterprise codebases, but less conversational flexibility.