Lovable
bolt.new
replit
BASE44
Cursor
WiX
v0.dev
Bubble.io
locust
Apache JMeter
Loader.io
AT Internet
Simple Analytics
Google Marketing Platform
Waistra Analytics
Low Orbit Ion Cannon
LovableLovable might be a bit more popular than locust. We know about 73 links to it since March 2021 and only 65 links to locust. 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.
We built this in Lovable. A few prompts that saved real time:. - Source: dev.to / 26 days ago
I built the site, called Insider Hawk, with Lovable. - Source: dev.to / about 2 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 / 2 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 / 2 months ago
I've shipped over a dozen MVPs with Lovable over the past year at Inithouse. The builder handles UI, routing, and deployment beautifully โ but SEO is not part of the default stack. Every single app I launched needed manual fixes before Google would index it properly. - Source: dev.to / 2 months ago
Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months ago
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 10 months ago
But you donโt have to operate at Netflixโs scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโs k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 1 year ago
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Apache JMeter - Apache JMeterโข.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Loader.io - Loader.io is a simple cloud-based load testing service
BASE44 - The platform for people to turn ideas into working products.
AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.
