A full-stack subscription SaaS app scaled to 70+ users, built in partnership with a university professor in China to help students learn professional English. To protect intellectual property and control operational token costs, the platform utilizes an invite-only registration architecture requiring admin whitelisting upon sign-up. The platform utilizes a multi-stage LLM pipeline to ingest raw HTML articles and automatically generate structured summaries, vocabulary graphs, and voice-cloned audio briefings, paired with a state-driven UI featuring interactive Leaflet.js maps and 3D geospatial metadata.
⭐ Live at https://theeconomistreadingclub.com
I partnered with a university professor in China to solve a distinct educational challenge: her students wanted to read The Economist to build professional English skills and gain global news awareness, but the raw text was far too dense for non-native speakers to navigate alone. While these articles provided incredible real-world learning material, students required deep cultural context, economic theory, and advanced vocabulary support to engage meaningfully.
To bridge this gap, I partnered with the professor to design and build a specialized solution that completely automated her content pipeline. My goal was to create a platform where she could instantly upload any article and leverage generative AI to automatically spin up scaffolded learning materials, including automated summaries, visual vocabulary graphs, and localized audio briefings generated entirely in her own voice.
For subscribers (students):
For the admin (teacher):