Canva Reviews

1. Ai-doc-suite

   · Working at AI Doc Suite · 6 months ago
   Powerful design platform with great usability

   Canva is one of the most accessible design platforms available today. It significantly lowers the barrier to creating presentations, social graphics, marketing materials, and even short videos.

   The interface is intuitive, especially for non-designers. Templates are well organized, and collaboration features make it practical for teams.

   Strengths: - Very easy to use - Large template library - Strong collaboration tools - Fast cloud-based workflow

   Limitations: - Advanced layout control is sometimes restricted - Heavier projects can feel limited compared to professional desktop tools

   Overall, Canva succeeds at simplifying design for everyday creators while maintaining enough flexibility for professional use cases.

   🏁 Competitors: Google Docs, Notion, Smallpdf, Adobe Express
2. AbigailLaurens

   7 months ago
   Easy and Versatile Design Tool — Great for Quick Projects

   I’ve been using Canva for everything from social media graphics to presentations and simple flyers, and it’s one of the most accessible design tools I’ve encountered. The drag-and-drop interface makes it really easy to produce clean, visually appealing designs even if you don’t have a background in graphic design. The huge template and asset library means I rarely start from scratch.

   It integrates well with cloud storage and collaborative editing, which makes working with team members or clients straightforward. For quick turnaround projects, Canva gets me from idea to finished design in minutes — no steep learning curve.

   That said, some of the better assets and premium features (like certain templates, background removers, and export options) are locked behind Canva Pro, which adds ongoing cost. And while Canva is excellent for basic to intermediate design, it doesn’t replace professional tools like Adobe Illustrator or InDesign when you need fine-tuned control or advanced features.

   Overall, Canva is a fantastic tool for fast, easy design work — especially for non-designers

   👍 Pros:    Extremely user-friendly drag-and-drop design interface.

   👎 Cons:    Ome useful features and assets are locked behind the pro plan.
3. Yansiliang

   · Working at Xspiral · about 2 years ago
   Good

   good

Lambda Face Recognition API Reviews

Canva mentions (227)

• Creating a Chatbot that actually Stands Out! (vibe coded version)🦖

  If you're a designer, then design the bot in applications like Canva or Figma. - Source: dev.to / 7 months ago

• Here's how to build a Canva like UI using Reactjs

  Chances are, you’ve used Canva — maybe to whip up a poster, design an Instagram story, or create something that just looks good without breaking being a professional designer. - Source: dev.to / over 1 year ago

• The Best 100 Free UI/UX Resources for Every Designer & Developer

  Canva Canva.com Drag-and-drop design platform with free templates for social media, presentations, and more. - Source: dev.to / over 1 year ago

• CSS is Emotional: z-index and the Hierarchy of Needs

  Imagine shuffling papers on a desk. Even though the desk is flat, papers stack in layers—some on top, others below. That's exactly what z-index does on websites. If you're familiar with tools like Canva, PowerPoint, Photoshop, or Figma, you know this feature as "Send to Back" or more accurately, "Arrange" or "Position". - Source: dev.to / over 1 year ago

• My tech stack for startups in 2025

  I'm continuing to use Adobe's Creative Cloud. Photoshop, Illustrator, and Premiere Pro are tools that I already know my way around so I'm keeping those close. I know that many people love how quick and easy it is to get something done with tools like Canva or Figma. I think whatever you are comfortable with and enables you to move fast you should keep using. - Source: dev.to / almost 2 years ago

Lambda Face Recognition API mentions (27)

• LLM Inference Optimization: Techniques That Actually Reduce Latency and Cost

  Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. That’s a realistic... - Source: dev.to / 5 months ago

• Open Source vs Proprietary LLMs: The Real Cost Breakdown

  Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago

• Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups

  How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago

• Potato-ish PC Looking for suggestions - Local, Colab, Online?

  Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago

• Something like FaceApp to help me visualize myself as a woman?

  I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago