Synapse works best on a larger screen. Some features require a desktop or laptop.

Why Synapse exists

The interview is no longer a memory contest.

AI can produce code faster than most candidates can type. Companies like Meta now allow AI assistants during coding rounds. That moves the signal to the work around the code.

Learning model

Spaced repetition

Concepts return before confidence decays.

Deliberate practice

Each session isolates the decision being trained.

Mastery with decay

Readiness reflects what remains available.

Where the system is going

AI support that keeps the candidate responsible.

Synapse trains pattern recognition, structured planning, and mental execution: the skills that matter whether you are coding alone or with an AI copilot.

Socratic Coach

Guided questions without the answer.

Interview Simulation

Adaptive follow-ups and debriefs.

Concept Decomposition

New problems mapped to known concepts.

Struggle Diagnosis

Conceptual, tactical, or edge-case blocks.

Practice the skills AI does not replace

Know what to do when the problem is new.

Start with a short diagnostic, then build preparation around what you know, what needs review, and what comes next.