Lingloop
Your AI English coach for everyday video calls.
135 followers
Your AI English coach for everyday video calls.
135 followers
Get personalized feedback after your online english conversations. Make fewer grammar mistakes, expand your vocabulary and increase fluency.
Products used by Lingloop
Explore the tech stack and tools that power Lingloop. See what products Lingloop uses for development, design, marketing, analytics, and more.
Engineering & Development 3
Engineering & Development 3
AWS LambdaAn event-driven, serverless computing platform
5.0 (23 reviews)
I pick AWS Lambda because it offers this effortless, automatic scalability that's tough to beat. I never have to worry about provisioning or managing servers; Lambda just instantly scales my application to handle anything from a few requests to massive traffic spikes, and I only pay for the compute time I actually use.
Next.jsCreate web applications with the power of React components
5.0 (433 reviews)
I like Next.js over other options because it makes setting up server-side rendering (SSR) and static site generation (SSG) incredibly simple. Its file-based routing system just clicks for me, and the ecosystem built around Vercel (the creator) makes deployments and serverless functions a breeze.
VercelThe frontend cloud. Creators of Next.js.
5.0 (711 reviews)
I prefer Vercel for deploying my Next.js apps (and other frontend frameworks too!) because of its native integration, those instant deployments on every git push, built-in serverless functions, and a global CDN that keeps things fast everywhere. Honestly, it's just way simpler to manage than setting up a server myself.
Data analysis tools 1
Data analysis tools 1
PostgreSQLA powerful, open source object-relational database system
5.0 (74 reviews)
I prefer PostgreSQL because it's just such an incredibly robust and versatile relational database that I trust. The huge advantage, especially for AI and search stuff lately, is the pgvector extension. It lets me store and run similarity searches on vector embeddings right inside my main relational database, totally avoiding the complexity of managing a separate vector database system. It feels like having the best of both worlds in one reliable platform.
LLMs 1
LLMs 1
LangchainLangChain’s suite of products supports AI development
5.0 (93 reviews)
I choose Langchain because it provides these really helpful abstractions and modular tools that simplify building complex workflows with language models. Things like chaining API calls, working with vector databases (RAG), and managing conversation memory become much more straightforward. It just makes experimenting and prototyping LLM-based applications way faster than building everything from scratch.