Lovable
bolt.new
replit
BASE44
Cursor
WiX
v0.dev
Bubble.io
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
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Based on our record, Lovable should be more popular than Lambda Face Recognition API. It has been mentiond 74 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.
Lovable takes a broader approach than a dedicated frontend generator. - Source: dev.to / 7 days ago
We built this in Lovable. A few prompts that saved real time:. - Source: dev.to / about 2 months ago
I built the site, called Insider Hawk, with Lovable. - Source: dev.to / 3 months ago
A solo founder using Bolt or Lovable can go from idea to working prototype in a weekend. Cursor handles multi-file refactoring on a production codebase. V0 generates polished UI components from a description. The founder who previously needed six months and $80,000 in savings or seed funding can now ship a testable product in two weeks for under $8,000 in tool costs. - Source: dev.to / 3 months ago
If you're building with Lovable and Supabase, there's a gotcha that will bite you eventually โ and when it does, you'll wonder why nobody warned you. Consider this your warning. - Source: dev.to / 3 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
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Mattermost - Mattermost is an open source alternative to Slack.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
BASE44 - The platform for people to turn ideas into working products.
ipinfo.io - Simple IP address information.