Learning tools, explorable datasets, and product prototypes. Each resource tells you what it does and whether you're using a tool or exploring a demonstration.
INTERACTIVE TOOL01
Work through data engineering and architecture questions, track your confidence, and time your practice. Your progress stays in this browser. Use the technical prompts to prepare answers grounded in your own experience.
Start practicing ↗DATA EXPLORER02
Search and filter a community-maintained directory of YC companies by batch, industry, and technology focus. Explore the dataset, follow company links, and export a selection for further research.
Explore the directory ↗INTERACTIVE PROTOTYPE03
A simulated prior authorization workflow exploring structured policy rules, review queues, and decision traceability. A portfolio demonstration with synthetic data, built to show how complex operational decisions can become inspectable.
Explore the prototype ↗INTERACTIVE PROTOTYPE04
An interface study for evaluating AI agents, MCP servers, and skills. Explore fictional risk scores, evidence trails, and review workflows. The demonstration illustrates a product concept; it does not assess real software.
Explore the prototype ↗LEARNING GUIDE05
Practice Azure data engineering concepts, platform architecture, and interview reasoning with structured prompts, review checklists, and a local progress tracker.
Open the Azure guide ↗LEARNING GUIDE06
Work through BigQuery, Dataflow, platform tradeoffs, and architecture scenarios. Use the detailed explanations and review exercises to strengthen your reasoning before a technical interview.
Open the GCP guide ↗INTERACTIVE PRACTICE07
Build a consistent coding practice routine with a structured algorithm problem sequence, recall sessions, and progress tracking. Follow the linked problems to practice their implementations.
Start coding practice ↗INTERACTIVE PRACTICE08
Practice SQL through a guided problem collection, topic review, and recall sessions. Track your progress in this browser and return to the query patterns that need more work.
Start SQL practice ↗LEARNING GUIDE09
Follow a practical learning path through SQL transformations, distributed querying, and analytics delivery. Explore modeling, testing, and billing-data onboarding scenarios with dbt, Trino, and Lightdash.
Open the ramp-up guide ↗