Share your resume and receive initial feedback on formatting. Follow up with details about your target industry for tailored advice. Ex-FAANG will guide you through ATS optimization and suggest personalized improvements.

Present your product roadmap and discuss your goals. PMs and designers will ask clarifying questions about your market and competitors. Chat to refine your strategy, prioritize features, and align with market trends.

Link your designs and explain your target audience. Designers will analyze your work and user flows. Discuss usability improvements, accessibility considerations, and potential design system enhancements.

Start with a sample system design question. Work through your solution, receiving real-time feedback from senior engineers. Iterate on your approach, discussing scalability and trade-offs to refine your interview skills.

Describe your current architecture and pain points. Experienced architects will probe deeper into your specific challenges. Engage in a back-and-forth to explore scalability options, performance optimizations, and relevant emerging technologies.

Outline your data science project or ML model. Data scientists will ask about your methodology and data sources. Discuss feature engineering approaches, model selection criteria, and potential improvements to your current approach.

Share your pitch deck and explain your startup's vision. Founders and VCs will ask probing questions about your market and business model. Refine your storytelling, market positioning, and address potential investor concerns through iterative feedback.

Submit a code snippet or module for review. Senior developers will analyze it and ask about your implementation choices. Discuss code quality, architectural decisions, and explore performance optimization opportunities through collaborative messaging.