diff --git a/examples/openpilot/compile3.py b/examples/openpilot/compile3.py
index 6517620842..3c5a587b78 100644
--- a/examples/openpilot/compile3.py
+++ b/examples/openpilot/compile3.py
@@ -28,8 +28,8 @@ def compile(onnx_file):
     inputs = {k:Tensor(v.numpy(), device=Device.DEFAULT).realize() if 'img' in k else v for k,v in inputs.items()}
   print("created tensors")
 
-  run_onnx_jit = TinyJit(lambda **kwargs:
-                         next(iter(run_onnx({k:v.to(Device.DEFAULT) for k,v in kwargs.items()}).values())).cast('float32'), prune=True)
+  @TinyJit(prune=True)
+  def run_onnx_jit(**kwargs): return next(iter(run_onnx({k:v.to(Device.DEFAULT) for k,v in kwargs.items()}).values())).cast('float32')
   for i in range(3):
     GlobalCounters.reset()
     print(f"run {i}")
diff --git a/tinygrad/engine/jit.py b/tinygrad/engine/jit.py
index 96f92a1b88..40d6636e56 100644
--- a/tinygrad/engine/jit.py
+++ b/tinygrad/engine/jit.py
@@ -1,4 +1,4 @@
-from typing import TypeVar, Generic, Callable, Any
+from typing import TypeVar, Generic, Callable, Any, overload
 import functools
 from tinygrad.tensor import Tensor, all_tensors
 from tinygrad.helpers import flatten, merge_dicts, DEBUG, Context, BEAM, getenv, JIT, JIT_BATCH_SIZE, dedup, pluralize, VIZ, disable_gc
@@ -219,7 +219,7 @@ def _prepare_jit_inputs(args, kwargs):
   expected_input_info = [(x[0], tuple(sorted(x[1].keys(), key=lambda v: v.expr)), x[2], x[3]) for x in inputs]
   return input_buf_uops, var_vals, names, expected_input_info
 
-class TinyJit(Generic[ReturnType]):
+class _TinyJit(Generic[ReturnType]):
   def __init__(self, fxn:Callable[..., ReturnType]|None, captured:CapturedJit|None=None, prune=False):
     assert fxn or captured, "need either a function or a CapturedJit"
     self.fxn = fxn
@@ -287,3 +287,10 @@ class TinyJit(Generic[ReturnType]):
 
     self.cnt += 1
     return ret
+
+# overload signatures support both @TinyJit and @TinyJit(prune=True) syntax
+@overload
+def TinyJit(fxn:Callable[..., ReturnType], *, prune:bool=False) -> _TinyJit[ReturnType]: ...
+@overload
+def TinyJit(fxn:None=None, *, prune:bool=False) -> Callable[[Callable[..., ReturnType]], _TinyJit[ReturnType]]: ...
+def TinyJit(fxn=None, **kwargs): return (lambda f: _TinyJit(f, **kwargs)) if fxn is None else _TinyJit(fxn, **kwargs)