OpenClaw
ChatGPT
Manus
OpenClaw Direct
Claude AI
Claude by Anthropic
ClawHost
Claude Code
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
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Based on our record, OpenClaw should be more popular than Lambda Face Recognition API. It has been mentiond 42 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.
Set up OpenClaw or a local LLM (Ollama or LM Studio) to index your vault and answer questions via Telegram or WhatsApp, as a private assistant that never sends your data to the cloud. - Source: dev.to / 3 months ago
This post is that missing piece. It covers the mental model, the decisions you'll face, the risk surface, and the traps that waste hours. It's opinionated. I built and hardened an OpenClaw deployment on a Linux VPS, and these are the things I wish someone had laid out for me before I started typing commands. - Source: dev.to / 4 months ago
If you've come this far to read my post I'm assuming you know what OpenClaw is ยฏ_(ใ)/ยฏ I mean it's not like it has the largest growing repo in history ยฏ_(ใ)/ยฏ. - Source: dev.to / 4 months ago
Take Claude Code: while you can use other models, there is a persistent nudge suggesting that things "just work better" if you stay within the Anthropic paid subscription. We see similar patterns with GeminiCLI, Qwen Code, and OpenClaw. - Source: dev.to / 4 months ago
He is part of famous-souls, a drop-in personality pack for OpenClaw agents. One SOUL.md file, and your assistant stops being a yes-machine. - Source: dev.to / 4 months ago
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. Thatโs a realistic... - Source: dev.to / 5 months ago
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
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago
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
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
ChatGPT - ChatGPT is a powerful, open-source language model.
Mattermost - Mattermost is an open source alternative to Slack.
Manus - AI agent bridges thoughts and actions, excelling in work and life tasks like personalized travel, stock analysis, insurance comparisons, and supplier sourcing, autonomously completing tasks and providing insights while users rest.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
OpenClaw Direct - Hosted OpenClaw, Fully Managed. No technical skills needed. We handle the tech so you can start chatting with your AI assistant right away.
ipinfo.io - Simple IP address information.
