diff --git a/.jules/bolt.md b/.jules/bolt.md
new file mode 100644
index 0000000..4548daf
--- /dev/null
+++ b/.jules/bolt.md
@@ -0,0 +1,3 @@
+## 2026-05-01 - Concurrent Fetching in Share API
+**Learning:** Sequential database queries (like `listUserShares` followed by `getUserLists` and `getUserProjects`) create unnecessary waterfall latency, especially for independent datasets.
+**Action:** Always group independent async database calls using `Promise.all` to reduce total latency, as done in `GET /api/share`.
diff --git a/src/app/api/share/route.ts b/src/app/api/share/route.ts
index 618a120..a9294c2 100644
--- a/src/app/api/share/route.ts
+++ b/src/app/api/share/route.ts
@@ -22,11 +22,15 @@ export async function GET() {
       );
     }
 
-    const shares = await listUserShares(userId);
+    // Fetch shares, lists, and projects concurrently to minimize database latency
+    // and resolve the waterfall fetching pattern.
+    const [shares, lists, projects] = await Promise.all([
+      listUserShares(userId),
+      getUserLists(userId),
+      getUserProjects(userId),
+    ]);
 
     // Enrich with target name so the UI can render without extra round-trips.
-    const lists = await getUserLists(userId);
-    const projects = await getUserProjects(userId);
     const listById = new Map(lists.map((l) => [l.id, l]));
     const projectById = new Map(projects.map((p) => [p.id, p]));