Privatrak VS cppq

• Element Picker
  Name any button or link by clicking it on your own site. No code needed, and earlier clicks count too.
• Feature usage
  See how often each feature is used, with trends and the change against the previous period.
• Funnels
  Track how many visitors get through a sequence of steps, such as cart to purchase, and where they drop off.
• Flows
  See where visitors go next after each page or click, step by step.
• Click problems
  Find clicks with no effect, repeated clicks, clicks that cause errors and slow responses, shown on the exact element.
• Click map
  See how often each element on a page was clicked, directly on your own site.
• Sources and campaigns
  See where visitors come from, including search engines, social media and AI assistants, and track UTM campaign links.
• Custom dashboards
  Build dashboards from your own charts and numbers, such as revenue, orders or sign-ups.
• Insights
  Query your events freely: count, sum or average, filter, split by any property and compare periods.
• Visitor segments
  Label visitors with traits such as plan or A/B test variant, then filter every report by them.
• AI assistant connection
  Connect Claude, Cursor or Codex to ask questions about your data or let it set up tracking, with every change undoable in one step.
• Cookieless tracking
  No cookies, nothing stored on visitors' devices, and IP addresses are never saved, so no consent banner is needed in most setups.
• Privacy by design
  Visitors are counted per day with a one-way hash whose random key is deleted every night. Data is hosted in the EU.
• WordPress and WooCommerce plugin
  Install the tracker and track shop events from the WordPress admin, without editing theme code.
• Free plan and live demo
  Start for free without a credit card, or try the live demo without signing up.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

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• We tested 9 cookieless Google Analytics alternatives
  privatrak.com · Oct 2026

  This matters most for a question you only think of later. Say you decide next month to check how often people use the sign-up button. With a tool that records only what you set up, there’s no history, so you add code...

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• What it took to get our MCP server into Claude's connector directory

  Our MCP server is now listed in Claude's connector directory. An automated review approved it in about an hour. We build Privatrak, a cookieless analytics tool, and MCP (Model Context Protocol) is the standard way to plug a tool like it... - Source: dev.to / 7 days ago

• We gave our MCP server an undo button

  We build Privatrak, a cookieless analytics tool. Its MCP server lets Claude, Cursor or Codex do more than read your analytics. They can set them up: feature rules that name what people click, funnels, dashboards, and marking click... - Source: dev.to / 9 days ago

Tracking cppq since Nov 2022.