AnkiWeb addon 1503045416
Reminds you to re-optimize FSRS weights only when your review count has doubled, checking once at startup and ignoring reviews before a configurable cutoff date.
Open on AnkiWeb Forum topic Find alternatives
stale
No GitHub repository linked.
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.1 | + | 2026-03-16 |
Loading…
Brings experimental SM-2, SM-15, SM-19, SM-20, and FSRS v6 schedulers plus a weighted ensemble mode to Anki Desktop, with settings, prediction inspection, and optional optimization.
Visualizes study activity, streaks, upcoming reviews, and new-card learning on a heatmap, with configurable workload, time, and FSRS-based scoring plus selectable date-range statistics.
Splits review sessions into configurable chunks and displays two linked progress bars with color-coded intervals, timers, session tracking, and optional FSRS-based retention coloring.
Reorders Anki review cards by expected long-term knowledge gain, using FSRS-based estimates and displaying each card's gain to prioritize the most beneficial reviews.
Auto-reveals each card's answer after a per-card delay computed from visible word count and difficulty, never grading, with pause and calibration options.
Manages FSRS presets in a single table for editing retention, steps, and version, running optimize/evaluate, bulk-applying values, and setting deck-level overrides.
A lightweight Anki add-on that reminds you to re-optimize FSRS weights.
Optimizing FSRS too often is useless. A lot of people forget to optimize FSRS at all. This add-on enforces a doubling threshold—reminding you to optimize only when your review data has doubled (e.g., 1k, 2k, 4k, 8k reviews).
Edit config.json via Tools > Add-ons > Config:
last_optimized_count: The review count at your last optimization. Set to 1000 by default - can be set to your total number of reviews so far.cutoff_date: YYYY-MM-DD format. Reviews before this date are ignored when counting reviews.