AWS

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Since its launch in 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries worldwide. AWS is a leader in cloud computing, offering services that span compute, storage, databases, networking, analytics, machine learning, artificial intelligence, Internet of Things (IoT), security, and enterprise applications.

General
Company	Amazon Web Services, Inc.
Founded	2006
Website	https://aws.amazon.com/
Documentation	https://docs.aws.amazon.com/
Technology Type	Cloud Provider

Start Building with AWS Products

AWS provides a vast array of services that enable developers and businesses to build sophisticated, scalable applications in the cloud. From foundational services like compute and storage to advanced machine learning and AI capabilities, AWS offers the tools needed to innovate and grow.

AWS SageMaker

AWS SageMaker is a fully managed machine learning service that enables developers to quickly and easily build, train, and deploy machine learning models at scale. You can find more information on our AWS SageMaker tech page.

AWS Kiro

Kiro is an AWS-powered agentic coding service that uses "spec-driven development" to turn prompts into code and tests. You can find more information on our AWS Kiro tech page.

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AWS AI Technologies Hackathon projects

Discover innovative solutions crafted with AWS AI Technologies, developed by our community members during our engaging hackathons.

M-Pulse - Mumbai Health Command System

M-Pulse is an AI-driven Mumbai Health Command System designed to transform public healthcare management in one of India’s largest and most densely populated cities. It functions as a centralized command center that integrates live hospital data, civic indicators, and environmental signals into a single intelligent dashboard. Health officials can instantly view bed availability, staff deployment, equipment status, and patient flow across Mumbai’s hospital network. Key capabilities include: Outbreak Forecaster — Advanced machine-learning models predict potential disease surges using real-time and historical data. Intelligent Resource Allocator — AI recommends optimal distribution of medicines, beds, ambulances, and personnel during crises. Civic Data Integration — Pulls public health metrics from urban data streams for holistic city-wide monitoring. Advisories & Alerts — Instant, actionable notifications to enable proactive rather than reactive response. Built as a modern web application with an intuitive interface, M-Pulse turns fragmented health data into life-saving decisions. It reduces response times, optimizes scarce resources, and aims to improve health outcomes for millions of Mumbaikars. This project demonstrates how AI can power smart governance in critical public health infrastructure.

YOLO ALPHA — AI Trading Agent

YOLO ALPHA is a risk-first AI trading agent that goes beyond single-indicator bots. It runs 4 independent strategy models simultaneously and fuses their signals into composite trading decisions with confidence scoring. HOW IT WORKS: The agent collects real-time OHLC data across two timeframes (15-minute and 1-hour), order book depth, and ticker data from Kraken CLI. Four strategy engines analyze this data independently: 1. Multi-Timeframe Analysis (40% weight) — The 1-hour trend sets the direction while 15-minute candles confirm optimal entry timing. This "trend + pullback" approach is what separates institutional strategies from retail. 2. Mean Reversion (25%) — Bollinger Bands combined with RSI detect oversold/overbought extremes. The agent only takes these trades

MAITS (Makss AI Trading Systems)

MAITS (Makss AI Trading Systems) is a next-generation trading infrastructure designed to eliminate the rigidity of traditional bots. At its core lies the Gearbox Logic, which autonomously segments the market into six distinct regimes—from sideways consolidation to "black swan" crashes. Unlike "black-box" algorithms, MAITS utilizes Explainable AI (XAI) to provide clear reasoning for every trade, ensuring transparency and human-centric control. By dynamically switching between six specialized execution engines, the system optimizes capital allocation in real-time. MAITS bridges the gap between complex AI technology and ethical, realistic trading, providing a secure and scalable solution for the modern crypto-asset landscape.

Apex - Self Certifying Yield Optimizer

APEX is an autonomous DeFi yield engine built for real execution, not just analysis. It combines four coordinated agents with on-chain reputation and live risk controls to turn fragmented yield data into disciplined trading actions. Scout gathers opportunities from DeFi protocols and market signals. Strategist filters, ranks, and sizes intents based on volatility, expected return, and portfolio constraints. Guardian acts as a circuit breaker, vetoing risky trades, enforcing drawdown limits, and protecting capital. Executor sends approved trades through Kraken and Surge, records outcomes, and posts evidence back to the reputation layer. The app streams every cycle in real time, tracks session PnL, open positions, fees, drawdown, win rate, and Sharpe-style metrics, and exposes a clear dashboard so users can see why the system traded or refused to trade. APEX is designed for transparency, accountability, and autonomy: the agents do not just suggest ideas, they operationalize decisions with verifiable logs, live telemetry, and a feedback loop that improves trust over time. The result is a trading interface that judges can inspect, users can understand, and the system can run continuously with measurable safety guarantees. It is built for judges, users, and builders who need a live, inspectable workflow, proof, and trust for every stakeholder!

Wisdom Pivot: AI Trading with Math Guardrails

The Problem Pure LLM-driven trading agents lack financial boundaries. A single hallucinated trade can cause catastrophic liquidations. Traditional quants are safe but blind to viral events. Meanwhile, most AI projects remain local scripts lacking the industrial CI/CD required for real capital. The Solution Wisdom Pivot Agent is an institutional-grade, AI-first trading system bridging AGI and capital markets via a "Dual-Layer" architecture: 1. Cognitive Layer: AI autonomously analyzes macroeconomics and sentiment to generate signals. 2. Execution Layer: A deterministic Python Risk Engine intercepts and routes orders to Kraken. Philosophy: Let AI do the thinking; let hard-coded math do the blocking. Core Innovations - Math Guardrails: AI signals are clamped. If an LLM exceeds the "Max Daily Cost Ratio" or order book toxicity is high, it triggers a "Hard Block". - DevOps Sandbox: A robust Linux Systemd CI/CD pipeline with Bash hot-reloads enables sub-second parameter rollbacks between Experimental and Live environments. - Continuous Governance: A background tuning daemon optimizes hyperparameters and outputs auditable JSON reports without interrupting live trading. Business Model Targeting the "Missing Middle" (family offices/mid-sized funds) via B2B Enterprise Licensing for our Risk Engine and a Proprietary Trading pool. We are raising Pre-Seed capital to scale AWS multi-region nodes for low-latency FIX streaming.

Eido an Autonomous startup builder

Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.