diff --git a/README.md b/README.md
index b68b218..b80350b 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,14 @@
+
+
+# Raspberry Ninja - not just for Raspberry Pis!
+Turn your Raspberry Pi, Nvidia Jetson, Orange Pi, Windows PC, Mac, Linux box, or nearly any Python-compatible system into a ninja-cam with hardware-acceleration enabled! This lets you publish live streaming video and audio directly to your web browser or OBS instance using VDO.Ninja. Achieve very low streaming latency over the Internet or a LAN; all for free.
+
+
+
+It also has the ability to record remote VDO.Ninja streams to disk (no transcode step), it can broadcast a low-latency video stream to multiple viewers (with a built-in SFU) at time, and because it works with VDO.Ninja, you get access to its ecosystem and related features.
+
+AV1 support is now available, however you will need a powerful system or one with an AV1 hardware encoder to make use of it. WHIP-output support has also been added.
+
**Table of Contents**
@@ -34,17 +45,6 @@
-# Raspberry Ninja - not just for Raspberry Pis!
-Turn your Raspberry Pi, Nvidia Jetson, Orange Pi, Windows PC, Mac, Linux box, or nearly any Python-compatible system into a ninja-cam with hardware-acceleration enabled! This lets you publish live streaming video and audio directly to your web browser or OBS instance using VDO.Ninja. Achieve very low streaming latency over the Internet or a LAN; all for free.
-
-
-
-It also has the ability to record remote VDO.Ninja streams to disk (no transcode step), it can broadcast a low-latency video stream to multiple viewers (with a built-in SFU) at time, and because it works with VDO.Ninja, you get access to its ecosystem and related features.
-
-
-
-AV1 support is now available, however you will need a powerful system or one with an AV1 hardware encoder to make use of it. WHIP-output support has also been added.
-
## Preface
The core concepts and code used in this project can be reused for other projects; most Linux systems, and a large variety of embedded systems; potentially even smartphones. There's a focus of supporting Raspberry Pis and Nvidia Jetson systems, which includes offering pre-built images and install scripts. Other Linux system users should still be able to use the code, but setup support will be limited.