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.

Eventr

What if you could predict what events someone might attend based on their historical Linkedin posts. This would be incredibly valuable for account executives or anyone in the GTM space who connect with their clients offline. I have a friend who is an account executive, and he preaches that the most effective way to do high ticket B2B sales involves offline meeting, and connecting with prospective clients in real life. Online outreach gets diluted as spammy or “noise,” but real life face-to-face interaction with other humans is the best way to position yourself as a individual in their mind, not an email address. The best way to do that is to attend the same events as that person. But how do you know what events they person will be at? To solve this problem, I built an agent called Eventr that uses the following Brightdata services to intelligently scrape and parse linkedin” Brightdata Linkedin Scraper: To fetch posts and meta data Brightdata SERP: To get the urls of the events mentioned in the posts Brightdata unlock: To scrape structured content from each event’s page without running into bot blockers I use this data to extract the name, location, and date of each event. I then project this information in a list view, globe view, and timeline view. This makes it each to visualize the events that this person attends. I used three Brightdata APIs, the OpenStreetMap API, ThreeJS (for the globe), Claude API, Flask, and React to build this.

4RealEstate Flow

Real estate agents are losing listings to better marketers, not better agents. 73% of homeowners now say they're more likely to list with an agent who uses video marketing. But here is the thing, most agents face two bad options: pay €3,000+ a month for a content agency, or use generic AI tools that produce videos their audience scrolls past. Neither works. 4RealEstate Flow is the end-to-end AI content engine built for real estate agents. Four specialized AI agents run the entire content operation. The Content Planner continuously analyzes viral content across social media to build a weekly content calendar tailored to each agent's market. The Video Agent handles creative execution end-to-end script, edit, motion design, captions. The Listing Video Maker turns property photos and details into cinematic listing videos in minutes. And the Ads Manager dynamically allocates paid spend based on which content is actually converting. From the first idea to the last click. Autonomously. Every real estate agent, their own marketing team.

The Written Entity

The Written Entityis an AI-powered meeting automation platform that transforms conversations into actionable outcomes automatically. Instead of spending 30–60 minutes after every meeting on notes, summaries, tasks, emails, and documentation, teams can complete the entire workflow in under 2 minutes through intelligent automation. Built with a multi-agent architecture, the platform orchestrates six specialized AI agents that work together in real time: transcription, analysis, task generation, communications, archiving, and orchestration. The system converts meeting recordings and transcripts into structured insights, extracts action items, assigns ownership, drafts follow-up emails, and archives summaries automatically. The platform integrates deeply with Google Workspace (Gmail, Calendar, Drive, Meet), Notion, Supabase Authentication, and Gemini AI to create an end-to-end productivity ecosystem. Meetings become searchable knowledge assets rather than forgotten conversations. Tasks are automatically created in Notion, emails are generated through Gmail, and summaries are archived in Drive without manual effort. The Written Entity provides real-time pipeline tracking, live WebSocket updates, progress visualization, retry mechanisms, fallback processing, and robust error handling for production readiness. The system achieves up to **95% reduction in post-meeting workload, allowing teams to focus on execution instead of administration. Designed for product teams, engineering teams, executives, remote organizations, and collaborative workflows, The Written Entity turns meetings into action automatically.

Close loop health

B2B SaaS, services, and subscription companies lose 20-40% of annual revenue to churn that was preventable. The brutal part: in post-mortems, the warning signs were always there — a champion stopped replying in week 3, support tickets got terser in week 5, the QBR got rescheduled twice in week 7. By the time Customer Success heard "we're not renewing" in week 11, the internal decision had been made weeks earlier. The reason this keeps happening isn't laziness. A CSM managing 40-80 accounts cannot read every Slack-shared email thread, listen to every support call, watch every usage dashboard, and notice that procurement at one account just started LinkedIn-stalking a competitor. The signals exist; the human bandwidth doesn't. ClosedLoop is the agent system that watches everything, reasons about what it sees, and either acts or escalates with the save-play already drafted.