-# Hyperscan
+# Vectorscan?
+
+A fork of Intel's Hyperscan, modified to run on more platforms. Currently ARM NEON/ASIMD
+is 100% functional, and Power VSX are in development. ARM SVE2 will be implemented when
+harwdare becomes accessible to the developers. More platforms will follow in the future,
+on demand/request.
+
+Vectorscan will follow Intel's API and internal algorithms where possible, but will not
+hesitate to make code changes where it is thought of giving better performance or better
+portability. In addition, the code will be gradually simplified and made more uniform and
+all architecture specific -currently Intel- #ifdefs will be removed and abstracted away.
+
+# Why the fork?
+
+Originally, the ARM porting was supposed to be merged into Intel's own Hyperscan, and 2 Pull
+Requests had been made to the project for this reason ([1], [2]). Instead of a review on technical
+issues, Intel outright rejected any multi-architecture support for Hyperscan, for now and the
+forseeable future and we were forced to fork. However, we are firm open source believers and
+in the end this can only be a good thing, as it gives us the opportunity to make further
+modifications and optimizations in the code, which could not be done otherwise.
+
+# What is Hyperscan?
Hyperscan is a high-performance multiple regex matching library. It follows the
regular expression syntax of the commonly-used libpcre library, but is a
large numbers (up to tens of thousands) of regular expressions and for the
matching of regular expressions across streams of data.
-Hyperscan is typically used in a DPI library stack.
+Vectorscan is typically used in a DPI library stack, just like Hyperscan.
# Documentation
# License
-Hyperscan is licensed under the BSD License. See the LICENSE file in the
+Vectorscan, like Hyperscan is licensed under the BSD License. See the LICENSE file in the
project repository.
# Versioning
# Get Involved
+The official homepage for Vectorscan is at [www.github.com/VectorCamp/vectorscan](https://www.github.com/VectorCamp/vectorscan).
+
+# Original Hyperscan links
The official homepage for Hyperscan is at [www.hyperscan.io](https://www.hyperscan.io).
If you have questions or comments, we encourage you to [join the mailing