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What is Rybbit?

Rybbit stands out as a cutting-edge, open-source analytics platform dedicated to user privacy, offering a contemporary alternative to traditional tools such as Google Analytics. It delivers real-time insights with features like live visitor monitoring, session replays, web vital performance tracking, detailed user profiles, and customizable event tracking, ensuring compliance with GDPR and CCPA regulations by avoiding cookies and other intrusive methods. Users can dive into detailed session data, examining clicks, navigation habits, and session durations, while also analyzing user journey through funnels and retention dashboards. They can set personalized objectives and visualize data from diverse global locations effectively. The platform supports both hosted services and self-hosting with a Docker Compose setup, allowing users to maintain full control over their data and deployment strategies. Additionally, Rybbit's user interface includes advanced filtering capabilities across more than 15 dimensions, enabling easy navigation through intuitive dashboards for tracking individual sessions, user pathways, funnels, error occurrences, and real-time interactions globally. Notably, Rybbit's unwavering focus on user privacy not only enhances its appeal but also addresses the growing concerns surrounding data security in today's digital landscape. Ultimately, this commitment to privacy and transparency positions Rybbit as a reliable choice for organizations prioritizing ethical analytics.

What is FlowLens?

FlowLens is a cutting-edge debugging and session-recording solution powered by artificial intelligence, aimed at capturing all vital components necessary for precise and context-aware bug analysis, while also allowing AI coding agents to independently address issues. Utilizing a user-friendly browser extension along with an optional MCP server, FlowLens meticulously documents detailed user sessions by recording video of the user interface, tracking network requests, capturing console logs, logging user actions (such as clicks and inputs), and preserving storage states (including cookies and local/session storage), in addition to gathering system information, all organized on a unified timeline. Once a bug is reproduced, FlowLens consolidates this entire context into a single "flow" that can be readily shared via a link. AI coding agents compatible with MCP, including those from top-tier providers, can then access this flow to analyze network interactions, error logs, UI conditions, and user inputs, thereby enabling automatic root cause analysis and suggestions or generation of code fixes. By streamlining this process, FlowLens removes the burdensome tasks of manual replays, the inconvenience of transferring logs, and the requirement for lengthy bug descriptions, significantly boosting productivity and efficiency. Furthermore, FlowLens allows teams to concentrate on more intricate challenges, as the platform optimizes the debugging workflow, enabling developers to harness AI to its fullest potential. This innovative approach not only saves time but also enhances collaboration among team members, fostering a more efficient development environment.