Software Alternatives, Accelerators & Startups

Selects by Cutback VS socketify.py

Compare Selects by Cutback VS socketify.py and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Selects by Cutback logo Selects by Cutback

Selects streamlines the initial 70% of editing work, the sorting, organizing, and reviewing, so you can reach the creative stage sooner.โ€จSupports Adobe Premiere Pro, Final Cut, DaVinci Resolve.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Selects by Cutback Landing page
    Landing page //
    2026-01-30

Selects is an AI-powered video editing tool that syncs audio and video (including multicam footage), splits video footage by topic, removes filler words and dead air, and creates instant edit-ready assembly cuts to kill the pain of preparing your rough cut.

  • socketify.py Landing page
    Landing page //
    2023-09-24

Selects by Cutback

Release Date
2025 September
Startup details
Country
United States
State
California
Founder(s)
Tom Kim, JK, Chan, Jay
Employees
20 - 49

Selects by Cutback features and specs

No features have been listed yet.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of Selects by Cutback

Overall verdict

  • Selects by Cutback is a solid choice for athletes and content creators who need a fast, mobile-friendly way to clip and share sports highlights without heavy editing skills, though it may lack the depth of professional editing suites.

Why this product is good

  • Simplifies the process of creating highlight reels from raw footage using automated or semi-automated tools
  • Mobile-first design makes it accessible for athletes to create content on the go
  • Tailored specifically for sports highlights, making it more relevant than generic video editors
  • Enables quick sharing to social media and recruiting platforms, which is valuable for student-athletes
  • Community and platform features may connect users with recruiters, scouts, or teams

Recommended for

  • Student-athletes building recruiting highlight reels
  • Amateur and semi-pro athletes wanting to showcase performance clips
  • Coaches or teams needing quick highlight compilations
  • Content creators focused on sports and needing fast turnaround
  • Users who prefer mobile editing over desktop-based professional software

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

Category Popularity

0-100% (relative to Selects by Cutback and socketify.py)
Video
100 100%
0% 0
Python
0 0%
100% 100
Video Editors
100 100%
0% 0
Web Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Selects by Cutback mentions (0)

We have not tracked any mentions of Selects by Cutback yet. Tracking of Selects by Cutback recommendations started around Sep 2025.

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing Selects by Cutback and socketify.py, you can also consider the following products

FireCut AI - Your Lightning-Fast AI Video Editor

Opus Clip - Turn long videos into viral shorts in 1 click

Synthesia.io - Create AI videos by simply typing in text. Make engaging videos for e-learning, customer onboarding, etc. No need for actors, cameras or audio equipment.

Descript - Text-based audio editor and automated transcription

VEED - Simple Online Video Editing

Ai Video Cut - AI-powered video editing tool that turns long videos into viral short clips for TikTok, Reels, and YouTube Shorts โ€“ with smart scene detection, captions, custom prompts, and multi-platform support.