diff --git a/atlasbot/engine/answerer.py b/atlasbot/engine/answerer.py
index 0fc7917..1dde320 100644
--- a/atlasbot/engine/answerer.py
+++ b/atlasbot/engine/answerer.py
@@ -715,6 +715,27 @@ class AnswerEngine:
                             )
                         if node_line:
                             reply = f"Hotspot node: {hotspot_node}. {node_line}."
+                if "postgres" in lowered_q and any(tok in lowered_q for tok in ("connection", "connections", "db")):
+                    pg = None
+                    if isinstance(snapshot_used, dict):
+                        summary = snapshot_used.get("summary") if isinstance(snapshot_used.get("summary"), dict) else {}
+                        if summary:
+                            top = summary.get("top") if isinstance(summary.get("top"), dict) else {}
+                            pg = top.get("postgres") if isinstance(top.get("postgres"), dict) else None
+                        if not pg:
+                            metrics = snapshot_used.get("metrics") if isinstance(snapshot_used.get("metrics"), dict) else {}
+                            pg = metrics.get("postgres_connections") if isinstance(metrics.get("postgres_connections"), dict) else None
+                    if isinstance(pg, dict):
+                        used = pg.get("used")
+                        max_conn = pg.get("max")
+                        hottest = pg.get("hottest_db") or pg.get("hottest")
+                        if used is not None and max_conn is not None:
+                            if hottest:
+                                reply = f"Postgres connections: used={used}, max={max_conn}; hottest_db={hottest}."
+                            else:
+                                reply = f"Postgres connections: used={used}, max={max_conn}."
+                        else:
+                            reply = "Postgres connection data is not fully available in the snapshot."
 
             if classify.get("question_type") in {"metric", "diagnostic"}:
                 lowered_q = f"{question} {normalized}".lower()