diff --git a/apps/api/src/digest.ts b/apps/api/src/digest.ts
index 0cc20a3..0acef5a 100644
--- a/apps/api/src/digest.ts
+++ b/apps/api/src/digest.ts
@@ -23,6 +23,7 @@
  */
 import {
   CAMPAIGN_DAYS,
+  MISS_WHERE,
   type ProblemRow,
   RESERVED,
   REVIEW_CAP,
@@ -84,8 +85,7 @@ async function openMisses(db: D1Database): Promise<ProblemRow[]> {
     .prepare(
       `SELECT p.* FROM problems p
        JOIN attempts a ON a.lc_number = p.lc_number
-       WHERE a.id = (SELECT MAX(id) FROM attempts WHERE lc_number = p.lc_number)
-         AND a.result = 'fail' AND p.stage != 'retired'
+       WHERE ${MISS_WHERE}
        ORDER BY a.date, p.lc_number`,
     )
     .all<ProblemRow>();
diff --git a/apps/api/src/srs.ts b/apps/api/src/srs.ts
index dda0130..aa222cd 100644
--- a/apps/api/src/srs.ts
+++ b/apps/api/src/srs.ts
@@ -310,6 +310,15 @@ export async function lookupProblems(
 export const DUE_WHERE = `stage != 'retired' AND next_review IS NOT NULL AND next_review <= ?1
     AND (defer_until IS NULL OR defer_until <= ?1)`;
 
+/**
+ * What an open miss means, in one place: a problem `p` whose most recent
+ * attempt (highest id) failed and that has not retired. The sweep day works
+ * these and the stats' "attempting" count is how many there are, so the two
+ * cannot disagree. Expects `problems p` joined to `attempts a` on lc_number.
+ */
+export const MISS_WHERE = `a.id = (SELECT MAX(id) FROM attempts WHERE lc_number = p.lc_number)
+    AND a.result = 'fail' AND p.stage != 'retired'`;
+
 /** Reviews due on/before `date`, oldest first — the overflow carry order. */
 export async function dueReviews(db: D1Database, date: string): Promise<ProblemRow[]> {
   const { results } = await db
diff --git a/apps/api/src/stats.ts b/apps/api/src/stats.ts
index 78125eb..c3bbc8e 100644
--- a/apps/api/src/stats.ts
+++ b/apps/api/src/stats.ts
@@ -8,12 +8,17 @@
  * srs.ts turns a topic's days-since-last-attempt into a band, so "which
  * concepts have gone cold" has exactly one definition and the dashboard is
  * free to colour it however it likes.
+ *
+ * `recent`, `attempting` and `year` feed the docs page's LeetCode-style cards
+ * (recently solved, the solved ring, the year heatmap). They are additive: the
+ * terminal dashboard ignores them.
  */
 import {
   CAMPAIGN_DAYS,
   CAMPAIGN_START,
   DIFFICULTIES,
   DUE_WHERE,
+  MISS_WHERE,
   addDays,
   campaignDay,
   campaignWeek,
@@ -54,6 +59,12 @@ interface TopicStat {
   temperature: Temperature;
 }
 
+/** Days in the year heatmap: the 365 ending today, like LeetCode's "past one year". */
+const YEAR_DAYS = 365;
+
+/** How many problems `recent` lists. */
+const RECENT_LIMIT = 10;
+
 async function buildTopics(db: D1Database, today: string): Promise<TopicStat[]> {
   // Three shapes, three statements: batch() carries one row type, and casting
   // its results apart would cost more than the round trips it saves.
@@ -195,9 +206,9 @@ export async function buildStats(db: D1Database, today: string): Promise<object>
   );
   const queue = dates.map((date, i) => ({ date, due: queueRows[i]?.results[0]?.n ?? 0 }));
 
-  // Attempts per campaign day, every day present. This is the heatmap's data
-  // model — the docs page reads the tail of it for "last 7 days" rather than
-  // asking a second question that could answer differently.
+  // Attempts per campaign day, every day present. This is the README heatmap's
+  // data model — the terminal dashboard lays it out by campaign week and reads
+  // its tail for "last 14 days" rather than asking a second question.
   const end = addDays(CAMPAIGN_START, CAMPAIGN_DAYS - 1);
   const { results: heatRows } = await db
     .prepare(
@@ -215,16 +226,78 @@ export async function buildStats(db: D1Database, today: string): Promise<object>
     return { date, attempts: row?.attempts ?? 0, passes: row?.passes ?? 0 };
   });
 
+  // The ten problems most recently solved, dated by each one's FIRST passing
+  // attempt — when it was completed, not when it was last re-solved (LeetCode's
+  // "Recent AC"). Same-day ties fall back to log order.
+  const { results: recentRows } = await db
+    .prepare(
+      `SELECT p.lc_number AS lc, p.title AS title, p.difficulty AS difficulty,
+              MIN(a.date) AS date, MIN(a.id) AS seq
+       FROM attempts a JOIN problems p ON p.lc_number = a.lc_number
+       WHERE a.result = 'pass'
+       GROUP BY p.lc_number
+       ORDER BY date DESC, seq DESC
+       LIMIT ?1`,
+    )
+    .bind(RECENT_LIMIT)
+    .all<{ lc: number; title: string; difficulty: string; date: string; seq: number }>();
+  const recent = recentRows.map(({ lc, title, difficulty, date }) => ({ lc, title, difficulty, date }));
+
+  // Problems still standing on a failure — the sweep day's miss log, counted.
+  const missRow = await db
+    .prepare(
+      `SELECT COUNT(*) AS n FROM problems p
+       JOIN attempts a ON a.lc_number = p.lc_number
+       WHERE ${MISS_WHERE}`,
+    )
+    .first<{ n: number }>();
+
+  // Attempts per day over the past year, every day present, plus the three
+  // figures LeetCode prints above its heatmap. `heat` stays campaign-scoped
+  // (the terminal dashboard lays it out by campaign week); this is the
+  // calendar-scoped view of the same table.
+  const yearStart = addDays(today, -(YEAR_DAYS - 1));
+  const { results: yearRows } = await db
+    .prepare(
+      `SELECT date,
+              COUNT(*) AS attempts,
+              SUM(CASE WHEN result = 'pass' THEN 1 ELSE 0 END) AS passes
+       FROM attempts WHERE date BETWEEN ?1 AND ?2 GROUP BY date`,
+    )
+    .bind(yearStart, today)
+    .all<{ date: string; attempts: number; passes: number | null }>();
+  const yearByDate = new Map(yearRows.map((r) => [r.date, r]));
+  const yearDays = Array.from({ length: YEAR_DAYS }, (_, i) => {
+    const date = addDays(yearStart, i);
+    const row = yearByDate.get(date);
+    return { date, attempts: row?.attempts ?? 0, passes: row?.passes ?? 0 };
+  });
+  let run = 0;
+  let maxStreak = 0;
+  for (const d of yearDays) {
+    run = d.attempts > 0 ? run + 1 : 0;
+    maxStreak = Math.max(maxStreak, run);
+  }
+  const year = {
+    days: yearDays,
+    attempts: yearDays.reduce((n, d) => n + d.attempts, 0),
+    active_days: yearDays.filter((d) => d.attempts > 0).length,
+    max_streak: maxStreak,
+  };
+
   return {
     generated: new Date().toISOString(),
     campaign: { day: campaignDay(today), week: campaignWeek(today), start: CAMPAIGN_START, days: CAMPAIGN_DAYS },
     phases: [...phases.values()],
     ladder,
     difficulty,
+    attempting: missRow?.n ?? 0,
     topics: await buildTopics(db, today),
     gates,
     streak: await streak(db, today),
     queue,
     heat,
+    recent,
+    year,
   };
 }