CoderPad 记录了 809,073 月访问量，月度环比增长为 +12.4%，定价为免费试用，付费，定价请咨询。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | coderpad.io | scale.com |
| 定价模式 | 免费试用，付费，定价请咨询 | 定价请咨询 |
| 月访问量 | 80.91万 (809,073) | 61.69万 (616,915) |
| 月度环比流量变化 | +8.93万 (+12.4%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (69.5%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 50.95万 | 19.14万 |
| 用户评分 | 4.4 | 4.7 |
| 支持的平台 | 网站 | 网站 |
面向技术面试、编程测评与实时编程的技能型招聘平台
多文件 IDE 搭配白板、结构化评分、私密笔记与代码回放，让面试官评估真实的解题能力而非刷题记忆。
基于实用工程任务构建的自动预筛，配以清晰评分，帮助招聘人员更快推进合格候选人。
AI 助手可结合代码上下文工作，提示词被完整记录，AI 评审按你自定义的评分标准对视频或代码提交排序。
自适应题目、活动监控、实时告警与回放报告，帮助在无需人工逐份检查的情况下发现可疑行为。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
专项更强Combines full-suite applicant tracking with AI screening, but lacks specialized live coding environments.
专项更强简化计算机视觉数据集标注与模型训练，但不太适合通用的 LLM 文本任务。
专注于企业级数据标注和训练数据整理，类似于 Scale 的核心标注业务。
提供企业级多模态标注和数据管理工具，但对托管式标注人力的强调较少。
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
免费 / 开源提供灵活的开源替代方案，适用于自定义数据标注和人机回环（Human-in-the-loop）标注管道。
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
