Taplink.at Reviews

1. Julio Ballardo

   · Sales at Dangelo Co. · over 3 years ago
   Switched from Linktree and never looked back

   I've been Using Linktree for a few years now and while I needed a simple list of all my links, it did fine. But when I decided to build something more complex, I realized that I need another tool. So I chose Taplink.

   You can very much create a micro website using Taplink to suit all of your needs. Text, links, photos, forms, payments, and much more may all be added. In contrast, the only thing you can do with link tree and the other "competitors" is add links and maybe social media icons. Competitors are referred to in quotation marks because Taplink is in a different league from the others.

   But to top it all off, the support is fantastic. Every time I used the live chat, I received a response within 24 hours. I also provided them with a much-needed feature, and within 24 hours, I received an email letting me know that they had included it. The Taplink crew deserves praise. You're doing a really great job out here!!

   👍 Pros:    Great customer support|Easy to use|Simple yet powerful and efficient tool|Cheap price|Excellent features|Well designed

   👎 Cons:    Less popular
2. Sean

   · Data Center Engineer at Digital Ocean · over 3 years ago
   Great Tool

   It's affordable and powerful. I use it as a lending page and cannot be happier!

   🏁 Competitors: Linktree

   👍 Pros:    Easy to use|Landing page builder|Simple but powerful
3. Benjamin

   · Manager at Lianna Marketing · almost 4 years ago
   Love it!

   A great website builder. It's easy to customize and has lots of business features too. The price is also nice.

   Highly recommend!

   👍 Pros:    Faster and cheaper than others|Variety of designs|Excellent features|Mobile-friendly

   👎 Cons:    Seems complicated/complex at first

Lambda Face Recognition API Reviews

Taplink.at mentions (0)

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