diff --git a/crates/aura-std/src/add.rs b/crates/aura-std/src/add.rs
new file mode 100644
index 0000000..2e58cca
--- /dev/null
+++ b/crates/aura-std/src/add.rs
@@ -0,0 +1,69 @@
+//! `Add` — two-input f64 sum (input 0 plus input 1), the companion to `Sub`.
+//! Combines two signal streams into one — the most basic combinator for the
+//! north-star "combine one signal with another" research move (C10).
+
+use aura_core::{Ctx, FieldSpec, Firing, InputSpec, Node, NodeSchema, Scalar, ScalarKind};
+
+/// Two-input f64 sum: input 0 plus input 1. Emits `None` until both inputs
+/// have a value.
+pub struct Add {
+    out: [Scalar; 1],
+}
+
+impl Add {
+    /// Build an `Add` node.
+    pub fn new() -> Self {
+        Self { out: [Scalar::F64(0.0)] }
+    }
+}
+
+impl Default for Add {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+impl Node for Add {
+    fn schema(&self) -> NodeSchema {
+        NodeSchema {
+            inputs: vec![
+                InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any },
+                InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any },
+            ],
+            output: vec![FieldSpec { name: "value", kind: ScalarKind::F64 }],
+        }
+    }
+
+    fn eval(&mut self, ctx: Ctx<'_>) -> Option<&[Scalar]> {
+        let a = ctx.f64_in(0);
+        let b = ctx.f64_in(1);
+        if a.is_empty() || b.is_empty() {
+            return None;
+        }
+        self.out[0] = Scalar::F64(a[0] + b[0]);
+        Some(&self.out)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use aura_core::{AnyColumn, Timestamp};
+
+    #[test]
+    fn add_is_sum_once_both_inputs_present() {
+        let mut add = Add::new();
+        let mut inputs = vec![
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+        ];
+
+        // only input 0 present -> None
+        inputs[0].push(Scalar::F64(10.0)).unwrap();
+        assert_eq!(add.eval(Ctx::new(&inputs, Timestamp(0))), None);
+
+        // both present -> a + b
+        inputs[1].push(Scalar::F64(4.0)).unwrap();
+        assert_eq!(add.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(14.0)].as_slice()));
+    }
+}
diff --git a/crates/aura-std/src/lib.rs b/crates/aura-std/src/lib.rs
index c012394..d832bc0 100644
--- a/crates/aura-std/src/lib.rs
+++ b/crates/aura-std/src/lib.rs
@@ -15,11 +15,15 @@
 //! The first block lands with the walking skeleton: [`Sma`], the simple moving
 //! average — a worked producer node proving the `aura-core` `Node` contract.
 
+mod add;
 mod exposure;
+mod lincomb;
 mod sim_broker;
 mod sma;
 mod sub;
+pub use add::Add;
 pub use exposure::Exposure;
+pub use lincomb::LinComb;
 pub use sim_broker::SimBroker;
 pub use sma::Sma;
 pub use sub::Sub;
diff --git a/crates/aura-std/src/lincomb.rs b/crates/aura-std/src/lincomb.rs
new file mode 100644
index 0000000..6d4849f
--- /dev/null
+++ b/crates/aura-std/src/lincomb.rs
@@ -0,0 +1,111 @@
+//! `LinComb` — weighted sum of `N` f64 inputs (`Σ weights[i] · input[i]`), the
+//! general combinator for the north-star "combine signals with weights" move
+//! (C10). `LinComb([1.0, 1.0])` is `Add`; `LinComb([1.0, -1.0])` is `Sub`. The
+//! weights are the node's tunable parameters (C8/C12) and fix its arity.
+
+use aura_core::{Ctx, FieldSpec, Firing, InputSpec, Node, NodeSchema, Scalar, ScalarKind};
+
+/// Weighted sum of `N` f64 inputs: `Σ weights[i] · input[i]`. The `weights`
+/// are the node's tunable parameters and fix its arity (`weights.len()` inputs,
+/// in slot order). Emits `None` until *all* inputs have a value.
+pub struct LinComb {
+    weights: Vec<f64>,
+    out: [Scalar; 1],
+}
+
+impl LinComb {
+    /// Build a `LinComb` with one weight per input (at least one required).
+    ///
+    /// # Panics
+    /// Panics if `weights` is empty.
+    pub fn new(weights: Vec<f64>) -> Self {
+        assert!(!weights.is_empty(), "LinComb needs at least one weight");
+        Self { weights, out: [Scalar::F64(0.0)] }
+    }
+}
+
+impl Node for LinComb {
+    fn schema(&self) -> NodeSchema {
+        NodeSchema {
+            inputs: self
+                .weights
+                .iter()
+                .map(|_| InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any })
+                .collect(),
+            output: vec![FieldSpec { name: "value", kind: ScalarKind::F64 }],
+        }
+    }
+
+    fn eval(&mut self, ctx: Ctx<'_>) -> Option<&[Scalar]> {
+        let mut acc = 0.0;
+        for (i, &w) in self.weights.iter().enumerate() {
+            let w_in = ctx.f64_in(i);
+            if w_in.is_empty() {
+                return None; // not yet warmed up — withhold until every leg is present
+            }
+            acc += w * w_in[0];
+        }
+        self.out[0] = Scalar::F64(acc);
+        Some(&self.out)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use aura_core::{AnyColumn, Timestamp};
+
+    #[test]
+    fn lincomb_weighted_sum_once_all_present() {
+        let mut lc = LinComb::new(vec![0.5, 2.0]);
+        let mut inputs = vec![
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+        ];
+
+        // only input 0 present -> None
+        inputs[0].push(Scalar::F64(10.0)).unwrap();
+        assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), None);
+
+        // both present -> 0.5*10 + 2.0*3 = 11.0
+        inputs[1].push(Scalar::F64(3.0)).unwrap();
+        assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(11.0)].as_slice()));
+    }
+
+    #[test]
+    fn lincomb_unit_weights_equal_add() {
+        let mut lc = LinComb::new(vec![1.0, 1.0]);
+        let mut inputs = vec![
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+        ];
+        inputs[0].push(Scalar::F64(7.0)).unwrap();
+        inputs[1].push(Scalar::F64(5.0)).unwrap();
+        // unit weights reproduce Add: 7 + 5
+        assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(12.0)].as_slice()));
+    }
+
+    #[test]
+    fn lincomb_three_inputs_warm_up() {
+        let mut lc = LinComb::new(vec![1.0, 1.0, 1.0]);
+        let mut inputs = vec![
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+            AnyColumn::with_capacity(ScalarKind::F64, 1),
+        ];
+        inputs[0].push(Scalar::F64(1.0)).unwrap();
+        inputs[1].push(Scalar::F64(2.0)).unwrap();
+        // third leg still cold -> None (withheld until every leg is present)
+        assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), None);
+
+        inputs[2].push(Scalar::F64(3.0)).unwrap();
+        // all warm -> 1 + 2 + 3
+        assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(6.0)].as_slice()));
+    }
+
+    #[test]
+    #[should_panic(expected = "LinComb needs at least one weight")]
+    fn lincomb_empty_weights_panics() {
+        let _ = LinComb::new(vec![]);
+    }
+}