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Zipy

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AI-powered debugging and product analytics for web and mobile apps

收录时间:2026年7月13日
月访问量:
28.3K
社交与联系:
Session replayError monitoringProduct analyticsUX analyticsPerformance monitoringAI debugging

工具信息

什么是 Zipy?

Zipy is an AI-powered platform for session replay, error monitoring, performance monitoring, product analytics, and debugging across web and mobile applications. It helps product and frontend teams identify, understand, and resolve real-user issues with session intelligence, error tracking, UX analytics, and performance monitoring.

核心功能

  • AI debugging and issue analysis

    Uses Oopsie AI Agent, AI Summaries, Repro Steps, and Ask AI to identify user problems, highlight friction points, and provide reproduction steps.

  • Session replay

    Records and replays real user sessions to provide context for debugging and understanding user behavior.

  • Error monitoring

    Monitors user-reported and unreported problems, including errors and JavaScript exceptions.

  • Product and UX analytics

    Provides user journeys, clickstream data, product analytics metrics, cohorts, labels, filters, and conversion analysis.

  • Funnel analysis

    Tracks user journeys across sessions, identifies drop-off points, supports segmentation, and analyzes conversion and revenue impact.

  • Performance monitoring

    Offers real user monitoring, API performance tracking, and pagespeed analysis.

  • Developer debugging tools

    Includes stack traces, network logs, console logs, filters and search, and automated issue detection.

  • Mobile application debugging

    Supports session replay, issue discovery, crash tracking, and performance monitoring for iOS, Android, React Native, and Flutter applications.

  • Alerts

    Provides Slack and email alerts for monitored issues.

使用场景

  • #1

    Product analytics and adoption

    Analyze user behavior, product adoption, engagement, cohorts, and conversion journeys.

  • #2

    Error monitoring and resolution

    Detect, investigate, and resolve production errors and user-reported or unreported problems.

  • #3

    Performance monitoring

    Monitor real-user experience and API performance across applications.

  • #4

    Customer support

    Help support teams investigate user problems and reduce time to resolution using session context and issue detection.

  • #5

    Quality assurance and debugging

    Give QA and engineering teams session replays, stack traces, logs, and reproduction steps for reported issues.

适用人群:Product teamsFrontend teamsEngineering teamsEngineering leadersCustomer support teamsQuality assurance teamsProduct managersDevelopersMarketing teams

定价方案

The official snapshots state that a 14-day free trial is available and no credit card is required. The overall pricing model is not clearly published in the provided facts.

替代工具

常见问题

What is Zipy?
Zipy is an AI-powered platform for session replay, error monitoring, performance monitoring, product analytics, and debugging across web and mobile applications.
Who is Zipy for?
Zipy is designed for product, frontend, engineering, customer support, quality assurance, product management, development, and marketing teams.
Which platforms does Zipy support?
Zipy supports web, iOS, Android, React Native, and Flutter applications.
What debugging features does Zipy provide?
Zipy provides AI debugging and issue analysis, session replay, error monitoring, stack traces, network logs, console logs, filters and search, automated issue detection, and reproduction steps.
Does Zipy offer funnel analysis?
Yes. Zipy tracks user journeys across sessions, identifies drop-off points, supports filtering and segmentation, and analyzes conversion and revenue impact.
Does Zipy offer a free trial?
The provided official facts state that Zipy offers a 14-day free trial and does not require a credit card. The overall pricing model is not clearly published in those facts.
Which integrations are listed for Zipy?
The listed integrations are RB2B, Sentry, Segment, Rollbar, and Raygun.

Zipy 联系方式与社交媒体

访问官方网站

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工具信息

定价模式Unknown
分类生产力
二级分类
Session replayError monitoringProduct analyticsUX analyticsPerformance monitoringAI debugging
语言英语
最后更新2026年7月16日