diff --git a/8/ex1.py b/8/ex1.py
index 8f1891a..e5de9ef 100644
--- a/8/ex1.py
+++ b/8/ex1.py
@@ -47,15 +47,15 @@ if __name__ == "__main__":
     graph, num_vertices = build_graph()
     graph.sort(key=lambda x: x[2])
     dsu = DSU(num_vertices)
-    conns = 0
     attempted = 0
     for u, v, w in graph:
         attempted += 1
-        if dsu.union(u, v):
-            if attempted >= 1000:
-                break
+        dsu.union(u, v)
+        if attempted >= DESIRED_CONNS:
+            break
+           
+        
         
-    print(f"Attempted edges: {attempted}, Connections made: {conns}")
     component_sizes = {}
     for i in range(num_vertices):
         root = dsu.find(i)
diff --git a/8/ex2.py b/8/ex2.py
new file mode 100644
index 0000000..35eb48f
--- /dev/null
+++ b/8/ex2.py
@@ -0,0 +1,59 @@
+MAX_CONNS = 999
+
+class DSU: # motherfucker i havent seen or used this in so long
+    def __init__(self, n):
+        self.parent = list(range(n))
+        self.size = [1] * n
+
+    def find(self, u): # we got that mf path compression and everything!
+        root = u
+        while self.parent[root] != root:
+            root = self.parent[root]
+        while u != root:
+            nxt = self.parent[u] 
+            self.parent[u] = root
+            u = nxt
+        return root
+    
+    def union(self, u, v):
+        root_u = self.find(u)
+        root_v = self.find(v)
+        if root_u != root_v: # union by size -> size of component stored at root
+            if self.size[root_u] < self.size[root_v]:
+                root_u, root_v = root_v, root_u
+
+            self.parent[root_v] = root_u
+            self.size[root_u] += self.size[root_v]
+            return True
+        return False
+
+
+def build_graph():
+    edge_list = []
+    with open('input.txt', 'r') as file:
+        data = file.read().strip().split('\n')
+    num_vertices = len(data)
+    for i, line in enumerate(data):
+        coords = line.split(',')
+        for j in range(i + 1, len(data)):
+            if i != j:
+                other_coords = data[j].split(',')
+                distance = ((int(coords[0]) - int(other_coords[0])) ** 2 + (int(coords[1]) - int(other_coords[1])) ** 2 + (int(coords[2]) - int(other_coords[2])) ** 2) ** 0.5
+                edge_list.append((i, j, distance, coords[0], other_coords[0]))
+    return edge_list, num_vertices
+
+
+if __name__ == "__main__":
+    graph, num_vertices = build_graph()
+    graph.sort(key=lambda x: x[2])
+    dsu = DSU(num_vertices)
+    conns = 0
+    for u, v, w, u_coord, v_coord in graph:
+        if conns >= MAX_CONNS:
+            break
+        if dsu.union(u, v):
+            conns += 1
+            result = int(u_coord) * int(v_coord)
+
+    print(result)
+    
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