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DailyHotApi is a trending data aggregator and serverless backend API. It collects and normalizes trending information from multiple online sources into a unified data structure and serves this information as an asynchronous data fetcher.
The main features of imsyy/dailyhotapi are: Trending Data Aggregators, RSS and Aggregation, RSS, RSS Feed Generation, Asynchronous Data Fetching, Data Normalization, Serverless Backend Hosting, Asynchronous Data Fetchers.
Projects with overlapping indexed features include: midudev/jscamp — jscamp is a full-stack web development and education project focused on mastering JavaScript, TypeScript, and AI… firebase/functions-samples — This repository provides a comprehensive library of code examples for implementing event-driven, serverless backend… miserlou/zappa — Zappa is a deployment tool and orchestrator designed to package and deploy Python web applications to AWS Lambda. It… supabase-community/supabase-mcp — This project is a Model Context Protocol server and AI agent database connector. It provides a standardized… vercel/vercel — Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure… nuclio/nuclio — Nuclio is a high-performance serverless framework designed for Kubernetes that automatically executes user functions…
jscamp is a full-stack web development and education project focused on mastering JavaScript, TypeScript, and AI integration. It provides a structured curriculum and interactive exercises covering language fundamentals, frontend engineering, and backend API development. The project distinguishes itself through the implementation of autonomous AI agents capable of complex task automation, such as modifying files, managing servers, and executing API calls. It includes advanced AI development tools for conversational querying, real-time code suggestions, and automated repository analysis to gene
This repository provides a comprehensive library of code examples for implementing event-driven, serverless backend architectures. It serves as a practical guide for building scalable cloud-native applications that execute logic in isolated environments, triggered by infrastructure events or HTTP requests rather than persistent server processes. The collection demonstrates how to leverage managed infrastructure to automate backend workflows, including the use of asynchronous task queuing to maintain system stability during high traffic. It highlights patterns for secure API hosting, enabling
Zappa is a deployment tool and orchestrator designed to package and deploy Python web applications to AWS Lambda. It functions as a wrapper and framework that adapts standard Python applications to work with serverless infrastructure and API Gateway events. The project enables the hosting of Python web frameworks on serverless environments without requiring the application to be rewritten. It automates the process of pushing code from local environments to the cloud and manages the lifecycle of these deployments to remove manual server management. Its capabilities include automated infrastru
This project is a Model Context Protocol server and AI agent database connector. It provides a standardized communication layer that allows language models to interact with relational data stores, read database schemas, and manage PostgreSQL database resources. The implementation acts as a serverless host for the Model Context Protocol, deploying on distributed edge functions to connect AI assistants to a project. This enables AI agents to perform database administration, execute SQL queries, and handle schema migrations through an AI-compatible interface. The system covers broader capabilit