Motor CQT

Hey Indie Hackers! 👋

I’ve been working on a project called Motor CQT, an analytical tool designed to bring physical modeling, non-linear dynamics, and topological convergence to cryptocurrency market forecasting.

Instead of relying purely on standard technical indicators, the core engine processes data through custom vector calculations, automated Supabase triggers, and interactive React dashboards to map out high-fidelity predictive bands for assets like Bitcoin and Ethereum.

I'm currently building it entirely in public as a solo developer, optimizing database triggers to handle automatic historical synchronization, and preparing the infrastructure to scale as I approach an initial community milestone.

For those of you building data-heavy or algorithmic SaaS products:

• What architectural pattern do you usually rely on to keep heavy predictive calculations fast and clean?

• If you launched a technical tool/SaaS as a solo founder, what was the hardest part about getting your first active users to trust the data?

Would love to hear your thoughts, connect with fellow developers, and share notes on the process! 🚀