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Invariant-first: every problem states its loop invariant

Master Core Algorithmic Patterns with Invariant-First Precision.

Production-grade algorithmic mental models, formal loop invariants, mathematical Big-O proofs, and deliberate practice mapped directly to 225 curated interview problems across FAANG/MAMAA technical screens.

Master 13 universal coding patterns — from Monotonic Binary Search and Converging Two Pointers to Multi-Dimensional Dynamic Programming and Topological Graphs.

13
Core Algorithmic Patterns
Boundary, Two Pointers, DFS, DP...
225
Practice Problems
Hand-picked for each pattern

The Strict 4-Pillar Deliberate Practice Standard

Every pattern takes you through the same four stages. Learn, Recall and Solve are live today; the AI interview coach (Stage 3) is coming soon.

1. Learn

Deconstruct mental models, formal loop invariants, mathematical Big-O derivations, and step-by-step visual execution traces.

2. Recall

Rebuild the solution from memory, with editor suggestions you can switch off, an invariant checklist, and progressive hints if you get stuck; a judged test suite checks it.

3. AI Interview CoachComing soon

Not live yet: for now, Recall leads straight to Solve. You can already ask the AI Coach on any page for a hint or a code review.

4. Solve

Timed 15-minute challenge on a new problem, with tests that run right in your browser, to build reflexive pressure tolerance under exam conditions.

Feature comparison

How Hi👋SpeedAlgo Compares

Four practice methods Hi👋SpeedAlgo is built on, and what LeetCode, NeetCode and AlgoMonster offer for each.

Capability⚡ Hi👋SpeedAlgoLeetCodeNeetCodeAlgoMonster
Invariant for every problem
A stated invariant for each of the 225 problems
IncludedNot on its feature listNot on its feature listInvariant lessons in its Two Pointers course; invariant quiz questions on problem pages such as Two Sum
Rewrite from memory
Rewrite a solution you studied from memory, then run it against a test suite
IncludedNot on its feature listNot on its feature listSpeedrun: multiple-choice questions instead of writing code
Time and space complexity
Time and space complexity worked out step by step on every Learn page
IncludedIn its official editorials; some are Premium onlyIn its written solutionsIn its problem editorials
Spaced review schedule
Problems come back for review 1, 3, 7, 14, 30, 60 and 90 days apart
IncludedNot on its feature listNot on its feature listNot on its feature list

Based on each product's public pages, checked September 2026.

Deliberate Practice Sizing & Study Planner

Your daily session slot, and optionally your interview date and target level

Daily Session Slot
Sizing calculator:capacity required to master all 238 lessons (225 problems + 13 pattern foundations)
Interview Timeline60 Days
14 days (Rush)60 days (Recommended)120 days (Comprehensive)
Daily Time Commitment60 Min / Day
15m (1 Sprint)60m (4 Sprints)180m (12 Sprints)
Curriculum Coverage:61% (144 of 238 Lessons)
Needs +40m/day to cover all 238
Practice Volume
60 hrs
Total deliberate hours
Daily Velocity
4.0 / day
~15m per archetype
15m Speed-Runs
4 Sprints
Daily sprint capacity
Projected Ready
Dec 25, 2026
Balanced Senior Pacing
The Dual-Engine Technical Interview Suite

Pair Algorithmic Fluency with High-Scale Distributed Systems

Visit Hi👋SpeedSystem.com

Staff and Principal engineers need both: the sub-15-minute algorithmic problem solving conditioning trained here on Hi👋SpeedAlgo, and the AWS production blueprints, multi-datacenter consensus trade-offs, and failure playbooks trained on Hi👋SpeedSystem.