System Map
The Blueprint
Map each topic as a dependency graph. Build from fundamentals, see exactly what unlocks next, and revisit weak branches before they decay.
DSAlingo teaches data structures and algorithms with spaced repetition, guided code practice, and a skill tree that shows what to study next without turning the process into memorization theater.
5
Interaction modes
4
Coding languages
3
Hint tiers
Module: Queues
2/10
Stack
Queue
Binary Tree
Hash Map
DSAlingo turns arrays, linked lists, trees, graphs, recursion, and patterns into a guided progression. Each lesson route adapts to what you miss, what you already know, and what your interview goal actually demands.
System Map
Map each topic as a dependency graph. Build from fundamentals, see exactly what unlocks next, and revisit weak branches before they decay.
Competitive Mode
Timed FAANG-style drills, league pressure, and interview-grade question routing turn passive practice into deliberate performance reps.
Retention Engine
Five interaction types, four coding languages, and an SM-2 review loop keep the practice hard where it matters and light where it should be automatic.
5
Interaction modes
4
Coding languages
SM-2
Review loop
Learning Protocol
Most study products feel like endless feeds. DSAlingo runs like a deliberate training circuit: diagnose what is weak, switch the interaction format, lock in the pattern, and schedule the next review automatically.
Runtime Notes
Due reviews are scheduled before new content.
Weak-topic accuracy drops route the next lesson.
Interaction mode shifts with skill level and history.
Hints escalate by tier instead of leaking the answer immediately.
REVIEW_PRIORITY
Every session checks due SM-2 reviews first, then weak topics, then the next unlocked skill-tree branch.
MODE_SWITCH
The system rotates between MCQ, arrange, fill, trace, and code so the format matches your skill level instead of boring repetition.
PATTERN_LOCK
Concept cards and progressive hints explain the structure behind the answer, so recall is built on pattern recognition instead of trivia.
SM2_SCHEDULER
Correct answers extend the interval. Misses fold back into the route. The next lesson is scheduled, not guessed.
Goal-Based Routes
Whether you are learning from scratch, preparing for FAANG interviews, or compressing a fast refresh cycle, DSAlingo changes the route so the pacing fits the goal instead of forcing every learner through the same generic flow.
learn
Best for your first serious pass through arrays, trees, graphs, recursion, and interview patterns.
Mode: more fill, trace, arrange, and guided concept reinforcement before code-heavy sessions.
Focus: progression clarity, concept retention, slower ramp into full-code challenges.
faang
Best for active interview cycles where you need speed, code reps, pressure, and timed decision-making.
Mode: heavier code weighting, tighter pacing, and more direct routing into high-signal problems.
Focus: challenge sessions, leaderboard pressure, mock interviews, and fast feedback loops.
refresh
Best if you already learned DSA once and need the shortest path back to fluency without restarting from zero.
Mode: compressed routes, fewer onboarding steps, and fast resurfacing of dormant patterns.
Focus: weak-topic compression, due reviews, edge cases, and surgical refresh cycles.
Master algorithms structurally.
Join the DSAlingo waitlist to get early access to the mobile app, the personalized routing engine, and the first interview-prep learning paths.
Final protocol initialized. No backtracking.