Building the Future of AI and Automation
Ausonio Algorithmics is a technology company creating production-grade software, intelligent tools, and automation systems designed to move work, engineering, and decision-making into the future.
Dante Ausonio
The Developer Behind It All
Dante Ausonio is a Boulder, Colorado–based software engineer focused on building production-grade software across mobile, AI, and applied systems. With a bachelor's degree in Electrical Engineering from CU Boulder, he brings a multidisciplinary background spanning computer vision, iOS app engineering, web development, and AI automation. Alongside his professional experience, he has built multiple independent software products and runs Coding on Crack, a YouTube channel dedicated to teaching advanced iOS engineering concepts, architecture, and real-world development practices.
Coding on Crack
Advanced iOS Engineering, Built in Public
Coding on Crack is Dante Ausonio's technical education brand focused on teaching advanced, production-ready software engineering through real projects and practical breakdowns. The content centers on Swift, SwiftUI, iOS architecture, concurrency, computer vision, and the systems design decisions behind building serious mobile applications. Rather than surface-level tutorials, Coding on Crack is designed for developers who want deeper technical understanding, stronger engineering instincts, and a clearer path to building robust software in the real world.
Learn MoreResistor Scanner
Instant resistor identification and value calculation through computer vision.
Resistor Scanner is a mobile app designed to help users quickly identify resistor values using image-based scanning and engineering-focused tools. Built with computer vision and a production-ready iOS architecture, it represents the first shipping product in the Ausonio Algorithmics product ecosystem.
- Scan and detect resistor color bands
- Calculate resistor values instantly
- Built for electronics learners, makers, and engineers
- Powered by on-device and cloud-assisted vision workflows
Contact Us
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