diff --git a/2022/day16-part1/.~lock.map2.odg# b/2022/day16-part1/.~lock.map2.odg#
new file mode 100644
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--- /dev/null
+++ b/2022/day16-part1/.~lock.map2.odg#
@@ -0,0 +1 @@
+,zen,seahaven,03.03.2024 15:04,file:///home/zen/.config/libreoffice/4;
\ No newline at end of file
diff --git a/2022/day16-part1/Cargo.toml b/2022/day16-part1/Cargo.toml
new file mode 100644
index 0000000..3d9af2a
--- /dev/null
+++ b/2022/day16-part1/Cargo.toml
@@ -0,0 +1,8 @@
+[package]
+name = "day16-part1"
+version = "0.1.0"
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[dependencies]
diff --git a/2022/day16-part1/map2.odg b/2022/day16-part1/map2.odg
new file mode 100644
index 0000000..e071df0
Binary files /dev/null and b/2022/day16-part1/map2.odg differ
diff --git a/2022/day16-part1/src/main.rs b/2022/day16-part1/src/main.rs
new file mode 100644
index 0000000..5bcf999
--- /dev/null
+++ b/2022/day16-part1/src/main.rs
@@ -0,0 +1,201 @@
+use std::collections::{HashMap, VecDeque};
+
+type Name = (char, char);
+
+#[derive(Debug)]
+struct Valve {
+    name: (char, char),
+    flow_rate: i32,
+    tunnels: Vec<Name>,
+}
+
+impl Valve {
+    fn print(&self) {
+        print!("{}{} -- {:3} -- ", self.name.0, self.name.1, self.flow_rate);
+        for t in &self.tunnels {
+            print!("{}{}, ", t.0, t.1);
+        }
+        println!();
+    }
+}
+
+fn main() {
+    // Use command line arguments to specify the input filename.
+    let args: Vec<String> = std::env::args().collect();
+    if args.len() < 2 {
+        panic!("Usage: ./main <input-file>\nNo input file provided. Exiting.");
+    }
+
+    // Next, read the contents of the input file into a string for easier processing.
+    let input = std::fs::read_to_string(&args[1]).expect("Error opening file");
+
+    // --- TASK BEGIN ---
+
+    // Parse the input.
+    // Collect all nodes by name to a big map.
+    let mut nodes: HashMap<Name, Valve> = HashMap::new();
+    for line in input.lines() {
+        // Split word-by-word.
+        let words = line.split_whitespace().collect::<Vec<_>>();
+
+        // Determine this node's name.
+        let name = (
+            words[1].chars().next().unwrap(),
+            words[1].chars().nth(1).unwrap(),
+        );
+
+        // Grab the list of outgoing nodes for this node and strip the whitespace.
+        // Returns "DD,II,BB".
+        let tunnel_nodes = line
+            .split("valve")
+            .nth(1)
+            .unwrap()
+            .chars()
+            .filter(|e| *e != ' ' && *e != 's')
+            .collect::<String>();
+        // Next, split by ','.
+        // Returns ["DD", "II", "BB"].
+        let tunnel_nodes = tunnel_nodes.split(',').collect::<Vec<_>>();
+        // Turn the vector into a vector of names.
+        // Returns [('D', 'D'), ('I', 'I'), ('B', 'B')].
+        let tunnel_nodes: Vec<Name> = tunnel_nodes
+            .iter()
+            .map(|e| (e.chars().next().unwrap(), e.chars().nth(1).unwrap()))
+            .collect();
+
+        // Construct this node.
+        let node = Valve {
+            name,
+            flow_rate: words[4]
+                .strip_prefix("rate=")
+                .unwrap()
+                .strip_suffix(';')
+                .unwrap()
+                .parse()
+                .unwrap(),
+            tunnels: tunnel_nodes,
+        };
+        // Add this node to the big map.
+        nodes.insert(name, node);
+    }
+
+    // In order to properly calculate the optimal path and valve order
+    // we need to first compute the cost getting from any node A to any
+    // other node B, i.e. perform pathfinding.
+    // We will precompute the results for faster lookup times later.
+    let mut distances: HashMap<(Name, Name), i32> = HashMap::new();
+    for an in nodes.keys() {
+        // Technically we're performing Dijkstra's shortest path algorithm.
+        // Since the edges all have weight 1 this devolves to simple breadth-first search.
+
+        // Keep track of all nodes in a queue.
+        let mut q: VecDeque<(Name, i32)> = VecDeque::new();
+        // Add the current node to that queue.
+        q.push_back((*an, 0));
+
+        loop {
+            // Queue empty? Then we're done.
+            if q.is_empty() {
+                break;
+            }
+
+            // Grab the next element (n) and its distance (d) from the queue.
+            let (n, d) = q.pop_front().unwrap();
+
+            // Since this is Dijkstra's algorithm, nodes are only visited once.
+            // Therefore, add this node to the proper result.
+            distances.insert((*an, n), d);
+
+            // Next, look at all of this node's neighbors and add them to the queue.
+            for neighbor in &nodes[&n].tunnels {
+                // Only add them if they haven't already been visited.
+                if distances.get(&(*an, *neighbor)).is_none() {
+                    q.push_back((*neighbor, d + 1));
+                }
+            }
+        }
+    }
+
+    // Keep track of all nodes with non-zero flow_rate.
+    let mut non_zero_nodes: Vec<Name> = nodes
+        .iter()
+        .filter(|(_, v)| v.flow_rate > 0)
+        .map(|(k, _)| *k)
+        .collect();
+
+    // Now check through all possible permutations of non-zero nodes using a recursive function.
+    // We assume 'AA' has zero flow_rate (it should).
+    let mut optimum: i32 = 0;
+    generate_permutation(
+        &nodes,
+        &distances,
+        &mut non_zero_nodes,
+        &mut vec![('A', 'A')],
+        30,
+        0,
+        &mut optimum,
+    );
+
+    println!("Optimal pressure release: {}", optimum);
+}
+
+fn generate_permutation(
+    nodes: &HashMap<Name, Valve>,
+    distances: &HashMap<(Name, Name), i32>,
+    source: &mut Vec<Name>,
+    dest: &mut Vec<Name>,
+    time: i32,
+    pressure: i32,
+    optimum: &mut i32,
+) {
+    // Are we done here?
+    // If there are only 2 units of time (or less) left we're done here.
+    // We're obviously also done if the source is empty.
+    if time <= 2 || source.is_empty() {
+        // Check if this is better and store the optimal result.
+        if pressure > *optimum {
+            *optimum = pressure;
+        }
+        // Obviously, return early.
+        return;
+    }
+    // Iterate through all elements remaining in the source.
+    for i in 0..source.len() {
+        // Remove the current element from the vector.
+        let e = source.remove(i);
+
+        // Determine the distance between the last two nodes.
+        let add_dist = distances[&(*dest.last().unwrap(), e)];
+
+        // Put the element onto the destination.
+        dest.push(e);
+
+        // Determine how much time will have passed until this node is ready.
+        let new_time = time - (1 + add_dist);
+        // Calculate how much pressure we save.
+        let add_pressure = new_time * nodes[&e].flow_rate;
+
+        // Finally, call recursively.
+        generate_permutation(
+            nodes,
+            distances,
+            source,
+            dest,
+            new_time,
+            pressure + add_pressure,
+            optimum,
+        );
+
+        // Remove the element from the destination.
+        dest.pop();
+        // And reinsert the element back into the vector, at the same precise location.
+        source.insert(i, e);
+    }
+}
+
+fn print_name_list(list: &Vec<Name>) {
+    for n in list {
+        print!("{}{}, ", n.0, n.1);
+    }
+    println!();
+}