
ShadCN UI and NextJS are pair made in heaven for a blockbuster Frontend.
One of the biggest mistakes I've made when building websites is starting from scratch. Vercel template library has a starter template for everything...

One of the biggest mistakes I've made when building websites is starting from scratch. Vercel template library has a starter template for everything...

Improve you UIUX in NextJS front by integrating standard templates for not-found or under construction pages from the get go to keep your users from getting lost in your site.

This post will show you how to set up caching for GraphQL and Rest on Strapi 5, using the Strapi-Cache plugin and Redis. First, here's a bit of context and why I needed it:

A detail step by step breakdown on how to integrate Supabase on a Expo(ReactNative) mobile app. Learn how to integrate database, authentication and storage with supabase.

Learn to use n8n by setting up your own automation workflow in simple step by step tutorial

Learn to build a RAG agent with python and VectorDB that can persist memory and extend your LLM capabilities to help with any thing.

To run ComfyUI for Image and Video generation with larger models and complex workflow you need a high performing GPU. Consumer grade GPU on local device is not always enough. In such cases Cloud providers provide the way to use online GPU on the Cloud. We are using GCP's Compute engine to access and use such GPU to power ComfyUI

This comprehensive guide will show how you can quickly setup ComfyUI with GPU on Lightning AI and start generating Images and Videos with ease. Find out how you can access free GPU hours and generate for free *

Comprehensive coverage on how to get up and running with BlockChain with Etherium , Solidity and NextJS

Learn to host coolify on AWS EC2 and run your own Platform As Service(PAAS) to power your applications and services with ease.

AI features in Visily enhances developer productivity when combined with its built-in UIUX tooling and Figma integration.

Master the complete data science workflow with this comprehensive, beginner-friendly tutorial using Kaggle's Titanic dataset. Learn hands-on machine learning with Python, pandas, and scikit-learn as you predict passenger survival using real historical data. This step-by-step guide covers exploratory data analysis (EDA), feature engineering, multiple ML algorithms (Random Forest, Logistic Regression), and model evaluation techniques—everything you need to build your first predictive model and achieve 80%+ accuracy.