Basecamp Reviews

1. Boyd Richardson

   · Writer at SE · over 3 years ago

   As a writer, I've been using Basecamp for a few years now and I must say, it has been a game-changer for me. Basecamp is a cloud-based project management tool that offers a suite of features to help teams collaborate efficiently and effectively.

   I started using Basecamp as a project management tool to manage my writing projects. Initially, I found it a bit overwhelming, but with time I got used to the interface and the features. Basecamp has a clean and intuitive design that makes it easy to use. The dashboard is well-organized and shows all the active projects and tasks at a glance. Basecamp has a variety of features that make it easy to manage tasks, track progress, communicate with team members, and share files.

   🏁 Competitors: Trello

   👍 Pros:    Easy to use|Cost-efficient|Highly customizable

   👎 Cons:    Limited integrations|No time tracking|Limited report

Lambda Face Recognition API Reviews

Basecamp mentions (40)

• An LLM described a website in detail. The website doesn't exist.

  One implementation note that cost me a wrong result: URL predicates need tighter clause boundaries than entity mentions do. Split on sentence punctuation only, and "并没有推出中文官网，其主要官网是 https://basecamp.com" flags that URL as negated — but the negation targets the Chinese site and the URL is being affirmed, one comma later. Splitting on commas as well fixed it: zero false flags across 1,416 URLs, and 74 genuine... - Source: dev.to / 12 days ago

• 13 Non-Obvious Ways to Come Up With Product and Feature Ideas

  Products like Fullstory (analytics), Intercom (live chat), Basecamp (project management), and Shopify (eCommerce) were created based on internal tools. - Source: dev.to / 4 months ago

• Don't Forget These Tags to Make HTML Work Like You Expect

  37 Signals [0] famously uses their own Stimulus [1] framework on most of their products. Their CEO is a proponent of the whole no-build approach because of the additional complexity it adds, and because it makes it difficult for people to pop your code and learn from it. [0]: https://basecamp.com/. - Source: Hacker News / 10 months ago

• How I Achieved 10x Productivity at Remote Work

  Remote work is an established term these days, but back in the days i.e. Prior to COVID or a few more years back, this term was quite alien in the developer community. Even though there were organizations like Basecamp which were working remotely for more than 20 years, the developer ecosystem was not built around the concept of working remotely or to put it in simple words, separately from your colleagues. Just... - Source: dev.to / almost 3 years ago

• The 35 CSS properties you must know to do 80% of the work

  It's interesting, I've sampled basecamp.com and the number was 35 too, very similar variables, taking into consideration Basecamp is Older than Hey and heavily flex-box oriented. Source: about 3 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