Exploring math, designing algorithms, and applying machine learning where it matters.

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Aftaab Siddiqui  • Peerlist

Product Designer | UI/UX • Web & Mobile Design • Design Systems • Logos & Brand Identity | Open to Freelance

<h3>Build better habits and count what matters with Tickle, a minimal habit counter designed for iOS. This app focuses on speed, calm, and an offline-first experience, allowing you to track your daily goals and build consistency with ease.</h3><ul><li>Create Any Counter: Personalize your tracking by choosing a title, emoji, and color theme. You can also set optional daily goals to stay motivated.</li><li>Visualize Your Progress: Get a clear overview of your counts, goal progress, and active streaks for each counter at a glance.</li><li>Beautiful Insights: Explore your habit patterns with activity heatmaps, weekly bar charts, and a detailed timestamped history for every counter.</li><li>Simple Settings: Customize your experience by switching between light and dark modes and adjusting haptic feedback for a tactile feel.</li></ul>Tickle is built by an indie developer, with optional support available through a "Buy me a coffee" link or GitHub sponsorship. Download Tickle today to experience the simplest way to track your habits and watch your progress grow.

Tickle

Patterns is an open-source, privacy-first desktop application designed to help you navigate your mental well-being with clarity. Built with Flutter, it provides a focused, distraction-free environment for daily journaling and structured tracking of obsessive-compulsive patterns.Most mental health tools rely on cloud storage, but Patterns is offline-first. Your reflections, obsessions, and distress levels stay exactly where they belong: on your own machine. No accounts, no cloud uploads, and no third-party tracking—just a private space for your mind.Key Features:<ul><li>Minimalist Journaling: A distraction-free writing space for your daily thoughts and reflections.</li><li>OCD Tracker: Document obsessions and compulsions as they happen, recording distress levels (0-10) to identify triggers.</li><li>Pattern Analytics: Gain insights through intuitive heatmaps and charts that help you visualize your progress over time.</li><li>Privacy by Design: Local-only storage ensures your most personal data never leaves your computer.</li><li>Native Desktop: Fast, lightweight, and built natively for macOS and Linux.</li></ul>

Patterns

Raviz is a high-performance, audio-reactive 3D visualizer built for Linux systems. Written in native C and powered by OpenGL 3.3+, it renders a stunning, deformable 3D sphere that syncs perfectly with system audio via PulseAudio. Featuring a transparent, borderless window and low-latency FFT processing, Raviz offers a seamless and immersive visual experience for audiophiles and desktop enthusiasts alike.

Raviz

Pocket is a lightweight application launcher designed to enhance productivity by providing a fast and minimalistic interface. Built with C++ and GTK, it integrates seamlessly with various Linux environments and window managers. Pocket is engineered to stay out of your way, allowing you to focus on your tasks without unnecessary distractions.<h3>Key Features</h3><ul><li>Lightweight and Fast: Pocket is optimized for speed and minimal resource usage, ensuring a smooth user experience.</li><li>Native Integration: It integrates natively with different Linux environments, providing a cohesive user experience.</li><li>Customizable: Users can customize Pocket using a simple configuration file, allowing for personalized settings such as font and icon themes.</li><li>Easy Installation: With dependencies like g++, pkg-config, and libgtkmm-3.0-dev, installation is straightforward, and the application can be launched from anywhere using a simple command.</li></ul>Pocket is open source, licensed under the MIT License, making it accessible for developers to modify and enhance according to their needs.

Pocket Launcher

TokenWise is a lightweight desktop GUI tool for bidirectional conversion between JSON and TOON, built for developers who want to visually analyze and experiment with LLM token usage.It allows you to paste structured JSON data, convert it into a compact TOON representation, and instantly compare token counts, size reduction, and reversibility in real time. TokenWise is ideal for prompt engineers, researchers, and developers testing token-efficient formats before integrating any solution into real pipelines.This project is currently intended to be compiled from source, making it a developer-focused tool rather than an end-user consumer app. It works best as a local experimentation and inspection tool for:<ul><li>Prompt and context size optimization</li><li>Token usage analysis</li><li>Dataset formatting experiments</li><li>Research, demos, and offline testing</li></ul>Built using Go and Fyne, TokenWise delivers fast, cross-platform performance with a clean and minimal interface.

TokenWise

SoundSnatch is a CLI tool that allows users to download songs, podcasts and other audio files from YouTube within seconds. With a simple and user-friendly interface, you can easily fetch and save your favorite audio content in MP3 format.