The challenge 🎯
Make book discovery social and personalized without over-complicating the user experience.
← Back to projects
Project spotlight ✨
KeenReaders
Keen Readers is a social platform that helps people discover books through trusted recommendations and personalized discovery.
How I approached it 🗺️
Designed and developed the full-stack platform end-to-end, including recommendation flows, auth, dashboards, and a frontend optimized for usability.
Why it matters 💡
An easy-to-use product where users discover relevant books faster, engage with social reading signals, and get better recommendations over time.
Highlights 🌟
Key takeaways with the most relevant technical signals in focus.
1
End-to-end full-stack delivery from product concept to deployment 2
AI recommendation system for personalized and social book discovery 3
User-centric UX with dashboard-driven reading exploration 4
Distributed data architecture with relational + graph + cache layers 5
CI/CD and monitoring integrated into day-to-day engineering Technology stack 🧰
Grouped by role so the stack is easier to read at a glance.
Frontend framework
💚 Vue.js
Runtime and APIs
🚀 Node.js (Fastify)
Data layer
🎯 Prisma 🗄️ Vitess 🔗 Neo4j 💾 Redis
DevOps
⚙️ CI/CD
Project profile fit 🧠
A compact view of the signals this project communicates.
What it reflects ✨
Product thinking
End-to-end execution
User-centric design
Balancing complexity vs value
Cross-functional reasoning
What it shows 🔎
Product design
Recommendation systems
Full-stack engineering
User-centric building
Open the live project to explore the full implementation and documentation.
Open KeenReaders 🌍