tapurl.io VS cppq

• Smart routing by geo and device
  One link sends different audiences to different offers. Rules take two clicks.
• A/B tests with honest stats
  Split traffic by weights and compare conversions. The winner is obvious.
• REST API for automation
  Create hundreds of links programmatically. Bearer tokens, webhooks, CSV export.
• Affiliate tracking
  SubIDs let you pass tracking parameters from your traffic source through the short link all the way to the postback.
• Webhooks
  Use webhooks to feed click data into your CRM, analytics platform, or custom dashboards without polling our API.
• QR codes
  Branded QR codes with custom colors, styles and your logo.
• Retargeting Pixels
  Fire a Meta or TikTok pixel on every click before redirecting. Build retargeting audiences from everyone who clicked.
• CSV Bulk Import
  Upload a CSV file to create hundreds of short links at once.
• Hide referrer
  Keep your traffic source private: the destination receives no Referer header.

• 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.

No analysis of tapurl.io yet.

• I built a link shortener with FastAPI and htmx (no JS framework) — the parts that were actually hard

  Disclosure: I build tapurl.io, a link shortener for Marketers. This is a write-up of the engineering behind it, not a pitch — Everything below is patterns you can apply to any shortener. - Source: dev.to / about 2 months ago

Tracking cppq since Nov 2022.