diff --git a/day6/part1.scala b/day6/part1.scala
new file mode 100644
index 0000000..8ebaa10
--- /dev/null
+++ b/day6/part1.scala
@@ -0,0 +1,49 @@
+import scala.io.StdIn.readLine
+
+case class Pos(x: Int, y: Int) {
+  def dist(other: Pos): Int = (other.x - x).abs + (other.y - y).abs
+}
+
+case class Coords(id: Int, p: Pos)
+
+case class CoordsWithDist(c: Coords, dist: Int)
+
+val MAX_X: Int = 400
+val MAX_Y: Int = 400
+
+val coords: List[Coords] = Iterator
+  .continually(readLine)
+  .takeWhile(_ != null)
+  .map { s =>
+    val p = s.split(", ")
+    Pos(p(0).toInt, p(1).toInt)
+  }
+  .toList
+  .zipWithIndex
+  .map(x => Coords(x._2, x._1))
+
+val closest: Seq[(Pos, Option[Coords])] = for {
+  x <- 0 to MAX_X
+  y <- 0 to MAX_Y
+  p = Pos(x, y)
+} yield {
+  val closestWith = coords
+    .map(c => CoordsWithDist(c, c.p.dist(p)))
+    .sortBy(_.dist)
+    .take(2)
+  (closestWith(0), closestWith(1)) match {
+    case (c1, c2) if c1.dist == c2.dist => (p, None)
+    case (c1, _) => (p, Some(c1.c))
+  }
+}
+
+closest
+  .filter(_._2.nonEmpty)
+  .groupBy(_._2)
+  .filter {
+    case (c, es) => !es.map(_._1).exists(p => List(0, MAX_X).contains(p.x) || List(0, MAX_Y).contains(p.y))
+  }
+  .mapValues(_.size)
+  .toList
+  .sortBy(_._2)
+  .foreach(println)
diff --git a/day6/part2.scala b/day6/part2.scala
new file mode 100644
index 0000000..a9d75ee
--- /dev/null
+++ b/day6/part2.scala
@@ -0,0 +1,34 @@
+import scala.io.StdIn.readLine
+
+case class Pos(x: Int, y: Int) {
+  def dist(other: Pos): Int = (other.x - x).abs + (other.y - y).abs
+}
+
+case class Coords(id: Int, p: Pos)
+
+case class CoordsWithDist(c: Coords, dist: Int)
+
+val MAX_X: Int = 400
+val MAX_Y: Int = 400
+
+val MAX_DIST_SUM: Int = 10000
+
+val coords: List[Coords] = Iterator
+  .continually(readLine)
+  .takeWhile(_ != null)
+  .map { s =>
+    val p = s.split(", ")
+    Pos(p(0).toInt, p(1).toInt)
+  }
+  .toList
+  .zipWithIndex
+  .map(x => Coords(x._2, x._1))
+
+val distSum = for {
+  x <- 0 to MAX_X
+  y <- 0 to MAX_Y
+  p = Pos(x, y)
+  c = coords.map(_.p.dist(p)).sum if c < MAX_DIST_SUM
+} yield (p, c)
+
+println(distSum.size)