TenkaCloud vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
TenkaCloud
Open-source cloud competitions on real AWS accounts
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | TenkaCloud |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 14 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#Open Source#GitHub#Online Learning | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About TenkaCloud
TenkaCloud is an open-source, Apache-2.0 licensed platform built specifically for hands-on cloud competitions and developer training on real AWS accounts. Designed to streamline event management, it provisions isolated environments for each participating team while seamlessly integrating access control, scoring, fault injection, leaderboards, and automated cleanup into a unified operator workflow.
Created by Susumu Tomita (founder of BULL LLC), TenkaCloud accommodates various learning and competition styles. Users can start with a no-signup browser quest, run the platform locally via Docker, or host large-scale events directly on their own AWS accounts. Thanks to its open problem catalog and authoring skill, teams can easily create, customize, and reuse their own unique cloud drills and challenges.
Pros of TenkaCloud
- Open-source and distributed under the Apache-2.0 license
- Provisions completely isolated environments for each team on real AWS accounts
- Supports both self-paced Challenges and continuously scored Battles
- Comprehensive operator workflow covering access, scoring, fault injection, leaderboards, and cleanup
- Flexible deployment options including local Docker execution and browser quests
Cons of TenkaCloud
- Requires access to and management of real AWS accounts to host full events
- May require a learning curve for operators setting up custom problem catalogs
- Dependent on external cloud infrastructure costs when running events on live AWS environments
Frequently Asked Questions
What is TenkaCloud?
TenkaCloud is an open-source (Apache-2.0) platform designed for hands-on cloud competitions and training exercises executed on real AWS accounts.
How can I run or test TenkaCloud?
You can start with a no-signup browser quest, run the platform locally using Docker, or host a full event directly on your own AWS account.
Can I create custom challenges for my team?
Yes. TenkaCloud features an open problem catalog and authoring skill that allow teams to create, share, and reuse their own customized cloud drills.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.