Geniebook Tech Stack
AI-personalized learning platform for Southeast Asian students
Geniebook operates a multi-product EdTech stack—personalized worksheets, live classes, and real-time teacher chat—built on ML (PyTorch, TensorFlow, transformers) and served across AWS/GCP with Kafka streaming. The tech foundation (graph databases like Neo4j, streaming Kinesis) reflects ambitions in learner recommendation engines and adaptive assessment, aligning with active projects around learner graphs and feedback systems. Hiring skews toward seniority (4 senior vs 2 mid-level roles) while the org tackles Southeast Asia expansion, conversion optimization, and CRM/reporting gaps—typical friction points for a venture-backed EdTech scaling across multiple countries.
Tech Stack 24 technologies
What Geniebook Is Building
◆Challenges
- Process inefficiencies
- Automation and scalability
- Expanding across southeast asia
- Improving conversion rates
- Reducing wasted leads
- Optimizing cac payback
- Optimizing operating model
- Enhancing crm and reporting systems
- Optimize learner journey
- Handle customer complaints
▲Active Projects
- User-facing product vietnam
- Business enablement product
- Adaptive feedback assessment
- Learner graph recommendations
- New module development and customization
- Integration between odoo erp-crm and other systems
- Server/cloud and multi-database odoo environment maintenance
- Kol / influencer marketing
- Seo & content-led growth
- Referral / community growth
Hiring Activity
Department
Seniority
Notable leadership hires: Customer Service Lead
