Give Hivly an idea. Get a finished social post. Add a photo and one sentence. Hivly writes the caption, designs the post, and schedules it for Facebook, Instagram, and LinkedIn.
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Which is more popular?
Based on our record, Clippings.io
seems to be more popular. It has been mentioned
16 times
since March 2021.
social mentions
16 vs 0
Bookmark Manager popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Easy Integration Clippings.io integrates seamlessly with popular e-readers and platforms like Kindle, making it easy to import highlights and notes.
Organization Features It offers robust features for organizing, tagging, and sorting your clippings, which help in categorizing and retrieving information quickly.
Export Options The platform provides multiple export options, including CSV and Word documents, which allow users to work with their data in other applications.
User Interface Clippings.io has a clean and user-friendly interface, which makes navigation and functionality very intuitive.
Possible disadvantages
Cost Some advanced features may require a subscription, which might be a drawback for users seeking a completely free solution.
Limited to E-books The service primarily focuses on e-book clippings, which might not benefit users who prefer physical books and need a comprehensive solution.
Feature Limitations While offering a range of tools, some users may find it lacks certain advanced features found in more complex note-taking apps.
Reliance on Amazon The heavy integration with Amazon Kindle may pose a problem for users who use other e-reader devices not supported by Clippings.io.
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.
Analysis
An editorial look at what each product does well and who it suits.
Clippings.iocppq
No analysis of Clippings.io yet.
Overall verdict
cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.
Why this product is good
Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
Good fit for projects already using Redis, minimizing the need for additional infrastructure
Straightforward API for enqueueing and processing background jobs in C++ applications
Recommended for
C++ developers needing a background job/task queue without adopting a heavyweight message broker
Projects already using Redis as part of their infrastructure
Small to medium-sized applications requiring asynchronous task processing
Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
Developers familiar with asynq (Go) looking for a similar pattern in C++
Prototyping or hobby projects where a minimal task queue solution is sufficient
Share your experience with using Clippings.io and cppq.
For example, how are they different and which one is better?
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
Clippings.io16 mentionscppq0 mentions
Where do you keep your notes/translations when reading physical books?
If you don't like the process of making the cards, you could try exporting the words or sentences from kindle into Anki. I like to use clippings.io. These were some of my highlights from The Little Prince. Unsurprisngly there's also a...
Source:
almost 4 years ago
Remove duplicate highlight entries in your "My Clippings.txt"!
I used my yesterday's evening to create a small JS script to remove automatically more than 90% of duplicate entries (at least for me :P). As far as I know, there isn't any working script/program to do this with the latest kindles or...
Source:
about 4 years ago
Considering buying a kindle
I was originally "anti-Kindle" (well anti-Amazon tbh) and loyal to a proper paperback/hardback book. When I had to do lots of business travel I tried a Kindle (Voyage) and I'm fully converted. It's not just having all books on one...
Source:
over 4 years ago
Screvi collects your lost and messy book highlights and turns them into something you'll actually use.
Import all your kindle, twitter and physical book highlights and stop forgetting what you read.
Readwise
Screvi
Kindle2Notion
Clippings Store
Wellput
Kindle Highlight Export by Glasp
Knotes
