RevoMemo launches in June 2026
RevoMemo is built on four decades of research. Every flashcard, every review, and every decision in the app stems from science—not intuition.
* Based on internal SRS model simulations.
Spaced repetition effect
Fig. 2 - Spaced repetition slows down the forgetting process
It's not about how many times you see something. It's about when you come back to it.
What's happening in practice
Day 0 → you learn the word
Day 1–2 → you start forgetting
Review → memory returns to ~100%
Another repetition → you forget more slowly
After a few cycles → the word moves to long-term memory
Why does this work
That's why after 30 days you remember ~92% of words — not because you learn more, but because you learn at the right time.
See for yourself and check the pricing tailored to your needs.You'll lose most of the knowledge within a few days
Memory stabilizes at a high level. Each repetition "resets" the forgetting curve.
Test the flashcard and check how the app works.Fig. 1 — Ebbinghaus' forgetting curve vs. retention through SRS
RevoMemo combines cognitive science, linguistics, and memory psychology into a single, cohesive learning system.
Research on the forgetting curve (Hermann Ebbinghaus) proves that information is best retained when reviewed at increasingly longer intervals. RevoMemo automates this process with the FSRS-6 algorithm, which outperforms older models in retention prediction.
Instead of passive reading, RevoMemo forces the brain to actively retrieve information. This strengthens neural connections far more effectively than traditional methods.
Cognitive linguists confirm that words learned in natural sentence contexts result in deeper encoding and are far less likely to be forgotten (Laufer & Hill, 2000). That’s why context—created by you—is central to RevoMemo.
Discover innovative features that help you create this context.Regular use of our system stimulates brain neuroplasticity, building neural connections responsible for language fluency. Algorithms are continuously refined based on anonymous data from thousands of sessions.
"The distributed practice effect is one of the most replicable phenomena in cognitive psychology."
Cepeda et al., 2006 — Psychological Bulletin, Vol. 132(3)Cohen’s d effect sizes gathered from meta-analyses.
The "d" values show how much impact a method has on learning outcomes—regardless of study scale. The higher the value, the greater the real difference in retention between methods.
d is a measure of effect size (Cohen’s d): 0.2 small, 0.5 medium, 0.8+ large effect.
Selected studies that form the scientific foundation of RevoMemo. Each discovery directly translates into features in our application.
Still have doubts about how it works? Find answers in the FAQ section.A meta-analysis of 254 studies showed that spaced repetition significantly outperforms one-time learning (averaging ~47% retention with spaced repetition vs. 37% with massed learning). The largest effects were observed in vocabulary learning.
FSRS-6 is a spaced repetition optimization algorithm based on stochastic shortest paths. Internal data from Open Spaced Repetition suggests it outperforms the SM-2 model (Anki) in predicting retention outcomes.
Learning words in a natural context (within sentences) with access to additional information, such as translations, enables deeper semantic encoding and leads to significantly better retention than decontextualized word pairs.
Linking a foreign word to its translation in the native language facilitates the construction of semantic networks. This additional semantic anchor supports vocabulary recall.
Research shows significant benefits of active recall (testing) compared to passive rereading. In the long term, testing leads to substantially higher retention rates.
According to the dual-coding theory (Paivio) and the phonological loop (Baddeley), simultaneously reading and listening to a word creates an additional memory trace, making it easier to retain.
Self-referential content is remembered significantly better than neutral material. Personalizing information leads to a stronger memory trace.
Emotionally engaging content activates the amygdala during encoding, leading to stronger memory consolidation. Matching sentences to personal preferences may enhance this mechanism.
Mastering around 3,000 of the most frequently used word families provides understanding of approximately 95% of everyday text. The ~7,777-word corpus in RevoMemo extends this coverage to professional registers.
How does RevoMemo work — It ties everything together.
From generating the first flashcard to its review — every decision is based on memory research.
Sentence built around your interests
→ Effect of self-referenceKnown word woven into a learned sentence
→ Semantic anchor L1Sound activates additional perception channels
→ Dual CodingDesirable Difficulty — Struggle Strengthens Memory
→ Testing EffectNext Review Matched to the Curve
→ Optimal Spacing[1] Cepeda, Pashler, Vul, Wixted & Rohrer. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380.
[2] Ye, Su, Mercer et al.. (2022). A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling. Proc. of the 28th ACM SIGKDD.
[3] Laufer & Hill. (2000). What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention?. Language Learning & Technology, 3(2), 58–76.
[4] Hulstijn. (1993). Non-incidental vocabulary learning by foreign language learners. Studies in Second Language Acquisition, 15(2).
[5] Roediger & Karpicke. (2006). Test-Enhanced Learning: Taking Memory Tests Improves Long-Term Retention. Psychological Science, 17(3), 249–255.
[6] Baddeley. (1986). Working Memory. Oxford University Press.
[7] Rogers, Kuiper & Kirker. (1977). Self-Reference and the Encoding of Personal Information. Journal of Personality & Social Psychology, 35(9).
[8] Cahill, Prins, Weber & McGaugh. (1994). Beta-adrenergic activation and memory for emotional events. Nature, 371, 702–704.
[9] Nation. (2001). Learning Vocabulary in Another Language. Cambridge University Press.
