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Rishabh Anand • Peerlist

Deadeye is a free, open-source macOS utility that fixes some of the small but incredibly annoying problems that come with playing Windows games through CrossOver, Whisky, Porting Kit, and other Wine-based solutions.It keeps macOS cursor out of games, prevents the menu bar and Dock from interfering with mouse input, and handles other macOS UI elements that can get in the way while gaming. Deadeye is completely free and open source, built specifically for Mac gamers who run Windows games through compatibility layers.

Deadeye

cux is an open-source CLI that pools multiple Claude Code Pro/Max accounts behind a single live session. When the active account hits a rate limit or crosses a usage threshold, cux automatically swaps to a healthy account and resumes the same conversation via claude --resume — no logout, no reload, no lost context.Built for developers who live inside Claude Code and keep losing momentum to the 5-hour rolling window and weekly active-hours caps. Instead of manually logging out, logging in to a second account, and repasting your context, you register your accounts once and cux handles the swap in ~2 seconds while preserving the full conversation.Key features:<ul><li>/switch slash command to rotate accounts instantly from inside Claude Code</li><li>Automatic account swapping on rate-limit and configurable utilisation thresholds (5h / 7d)</li><li>Three rotation strategies: drain, balanced, and manual</li><li>Threshold-based swaps wait for the current turn to finish so no response is lost</li><li>Cross-platform: Linux, macOS, Windows</li><li>Written in Go, distributed via npm and standalone binaries</li></ul>

cux by inulute

The Ai Arena Desktop Application was developed under the banner of @inulute to serve as the platform for ETSA's Ai Arena Event. The primary objective of the application was to enable participants to seamlessly engage in the competition.

Key Features:
• Multi-stage competition format: The application featured multiple stages that unlocked as the competition progressed.
• Stage 2: Image Perception Writing - Participants logged in using their phone numbers as passwords and were presented with assigned images within the app. They utilized AI tools and submitted their responses.
• Stage 3: Video Generation - Similar to Stage 2, participants logged in using their phone numbers and were presented with assigned stories. They utilized AI tools and submitted their generated videos.

Developed autonomously and entirely under my personal branding, this project exemplifies my proficiency in delivering a robust desktop application customized to meet specific competition demands. It underscores my commitment to prioritizing user experience and functionality, showcasing my capability to create comprehensive solutions that cater to unique requirements.