StackBlitz Reviews

1. Guest

   almost 5 years ago
   Has almost everything I need

   I've started using this as my main IDE for new projects when I'm trying things out. If it keeps getting better at the rate it has been, it'll be even better than coding locally.

   🏁 Competitors: replit

   👍 Pros:    Easy to get started and operate|Fast|Supports common extensions|Works with most npm packages

   👎 Cons:    Still not as good as local development|Can be hard to debug|Build times can be slower than local

Taste Reviews

StackBlitz mentions (112)

• RS-X: Framework-agnostic reactive state and expressions for JavaScript/TS

  Managing reactive state and dependent computations in JavaScript can get complex, especially when combining asynchronous and synchronous data. RS-X is a library that allows you to bind expressions to plain objects and makes the parts of the model used by those expressions fully reactive. Dependent computations automatically update when the underlying data changes. RS-X is framework-agnostic. While it can drive UI... - Source: Hacker News / 6 months ago

• Show HN: I combine Htmx, LiveView and SolidJS for interactive server components

  I like htmx, LiveView, React and Solid. They are great at different points, so I try to combine them in Solv (Stateless Offline-capable LiveView) and write a prototype to show the benefits. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is... - Source: Hacker News / 9 months ago

• Show HN: Solv – Stateless Offline-Capable LiveView – Prototype 03

  I like htmx, LiveView, React and Solid. They are great at different points, and this is a prototype trying to combine them. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is added to achieve efficient DOM updates + minimal payload size.... - Source: Hacker News / 9 months ago

• AutoView - turning your blueprint into UI components (AI Code Generator)

  In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / over 1 year ago

• 22 Unique Developer Resources You Should Explore

  URL: https://stackblitz.com What it does: An online IDE for coding, previewing, and deploying web apps instantly. Why it's great: Rapidly spin up projects without local setups — great for experimentation. - Source: dev.to / over 1 year ago

Taste mentions (4)

• Letterboxd Dating App

  Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: about 4 years ago

• In-show bi- and homophobia?

  On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 4 years ago

• How difficult would it be to build a recommender system for TV shows at scale?

  It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 5 years ago

• How difficult would it be to build a recommender system for TV shows at scale?

  I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 5 years ago