Science-backed guides mapping out vocabulary retention, spaced repetition, and linguistic mastery—straight from the Wordrop devs.
SM-2 is the spaced repetition algorithm developed by Piotr Woźniak in 1987 that calculates the optimal review interval for each vocabulary word individually. This guide explains the exact formula, step-by-step examples, and why Wordrop uses SM-2 to help people learn vocabulary permanently.
Spaced repetition is a learning technique that schedules reviews at increasing intervals to maximize long-term memory retention. This complete guide explains how it works, the science behind it, and how to use it to learn vocabulary faster.
A practical glossary of the 50 most common technical English terms in backend development — each with a plain-language definition and real-world usage example. Bookmark this reference.
The real bottleneck when reading API docs isn't reading speed — it's unknown vocabulary. Learn how solving vocabulary gaps dramatically improves documentation reading comprehension for developers.
Copying Stack Overflow answers into Google Translate is a symptom, not a solution. Here's what actually fixes the problem — and makes it permanent.
A step-by-step system for building a 1,000-word English vocabulary in six months using just 10 minutes a day — no textbooks, no courses needed.
Discover how the SM-2 spaced repetition algorithm used by Wordrop helps your brain lock in vocabulary permanently — backed by cognitive science.
Most language learners make the same vocabulary mistakes. Learn the five most common traps and the proven fixes that will fast-track your fluency.