diff --git a/README.md b/README.md
index f35a22c2..4d38ca42 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 # CloudVolume: IO for Neuroglancer Datasets
 
-```python3
+```python
 from cloudvolume import CloudVolume
 
 vol = CloudVolume('gs://mylab/mouse/image', parallel=True, progress=True)
@@ -247,7 +247,7 @@ vol[cfg.x: cfg.x + cfg.length, cfg.y:cfg.y + cfg.length, cfg.z: cfg.z + cfg.leng
 | kempressed              | Anisotropic Z Floating Point | N**      | Y*           | Adds manipulations on top of fpzip to achieve higher compression.                        |
 | zfpc                    | Alignment Vector Fields    | N***     | Y*          | zfp stream container.                        |
 
-\* Not integrated into official Neuroglancer yet, but available on a [fork](https://github.com/william-silversmith/neuroglancer/tree/wms_combined_codecs).
+\* Not integrated into official Neuroglancer yet, but available on a [fork](https://allcodecs-dot-neuromancer-seung-import.appspot.com/) which can be seen on Github [here](https://github.com/william-silversmith/neuroglancer/tree/wms_combined_codecs).
 \*\* Lossless if your data can handle adding and then subtracting 2.
 \*\*\* Lossless by default, but you probably want to use the lossy mode.