diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -7,130 +7,50 @@
[](https://coveralls.io/github/dgraph-io/dgraph?branch=develop)
[](http://slack.dgraph.io)
-
Dgraph's goal is to provide [Google](https://www.google.com) production level scale and throughput,
with low enough latency to be serving real time user queries, over terabytes of structured data.
Dgraph supports [GraphQL](http://graphql.org/) as query language, and responds in [JSON](http://www.json.org/).
----
-
-**Note that we use the Github Issue Tracker for bug reports only.**
-**For feature requests or questions, visit [https://discuss.dgraph.io](https://discuss.dgraph.io).**
-
----
-
-**We are using [Git Flow](https://github.com/nvie/gitflow) branching model. So, please send out your pull requests against `develop` branch.**
-
----
+## Users
+- **Dgraph official documentation is present at [wiki.dgraph.io](https://wiki.dgraph.io).**
+- Note that we use the Github Issue Tracker for bug reports only.
+- For feature requests or questions, visit [https://discuss.dgraph.io](https://discuss.dgraph.io).
+- Check out [the demo at dgraph.io](http://dgraph.io).
+- There's an instance of Dgraph running at http://dgraph.xyz, that you can query without installing Dgraph.
+This instance contains 21M facts from [Freebase Film Data](http://www.freebase.com/film).
+`curl dgraph.xyz/query -XPOST -d '{}'`
-The README is divided into these sections:
-- [Current Status](#current-status)
-- [Quick Testing](#quick-testing)
-- [Installation: Moved to wiki](https://wiki.dgraph.io/index.php?title=Beginners%27_guide)
-- [Data Loading: Moved to Wiki](https://wiki.dgraph.io/index.php?title=Beginners%27_guide#Data_Loading)
-- [Queries and Mutations: Moved to wiki](https://wiki.dgraph.io/index.php?title=Beginners%27_guide#Queries_and_Mutations)
-- [Contact](#contact)
+## Developers
+- We are using [Git Flow](https://github.com/nvie/gitflow) branching model. So, please send out your pull requests against `develop` branch.
+- See a list of issues [that we need help with](https://github.com/dgraph-io/dgraph/issues?q=is%3Aissue+is%3Aopen+label%3Ahelp_wanted).
+- Please see [contributing to Dgraph](https://wiki.dgraph.io/Contributing_to_Dgraph) for guidelines on contributions.
+- *Alpha Program*: If you want to contribute to Dgraph on a continuous basis and need some Bitcoins to pay for healthy food, talk to us.
## Current Status
-*Check out [the demo at dgraph.io](http://dgraph.io).*
+**Latest Release: v0.4.1**
-`Upcoming - v0.4`
+Master branch contains the latest stable release.
+
+`Jul 2016 - v0.4`
+This release allows for better debugging via net/tracer and provides binaries for Linux and Mac.
[Follow our Trello board](https://trello.com/b/TRVKizWt) for progress.
-Got questions or issues? Talk to us [via discuss](https://discuss.dgraph.io).
-`May 2016 - Tag v0.3`
+`May 2016 - v0.3`
This release contains more efficient binary protocol client and ability to query `first:N` results.
-Please see [Release notes](https://github.com/dgraph-io/dgraph/releases/tag/v0.3)
-and [Trello board](https://trello.com/b/PF4nZ1vH) for more information.
+[See our Trello board](https://trello.com/b/PF4nZ1vH) for more information.
-`Mar 2016 - Branch v0.2`
+`Mar 2016 - v0.2`
This is the first truly distributed version of Dgraph.
Please see the [release notes here](https://discuss.dgraph.io/t/dgraph-v0-2-release/17).
-`MVP launch - Dec 2015 - Branch v0.1`
-This is a minimum viable product, alpha release of Dgraph. **It's not meant for production use.**
+`MVP launch - Dec 2015 - v0.1`
+This is a minimum viable product, alpha release of Dgraph.
This version is not distributed and support for GraphQL is partial.
[See the Roadmap](https://github.com/dgraph-io/dgraph/issues/1) for list of working and planned features.
-Your feedback is welcome. Feel free to [file an issue](https://github.com/dgraph-io/dgraph/issues)
-when you encounter bugs and to direct the development of Dgraph.
-
-There's an instance of Dgraph running at http://dgraph.xyz, that you can query without installing Dgraph.
-This instance contains 21M facts from [Freebase Film Data](http://www.freebase.com/film).
-`curl dgraph.xyz/query -XPOST -d '{}'`
-
-
-## Quick Testing
-
-### Single instance via Docker
-There's a docker image that you can readily use for playing with Dgraph.
-```
-$ docker pull dgraph/dgraph:latest
-# Setting a `somedir` volume on the host will persist your data.
-$ docker run -t -i -v /somedir:/dgraph -p 80:8080 dgraph/dgraph:latest
-```
-
-Now that you're within the Docker instance, you can start the server.
-```
-$ mkdir /dgraph/m # Ensure mutations directory exists.
-$ dgraph --mutations /dgraph/m --postings /dgraph/p --uids /dgraph/u
-```
-There are some more options that you can change. Run `dgraph --help` to look at them.
-
-Run some mutations and query the server, like so:
-```
-# Make Alice follow Bob, and give them names.
-$ curl localhost:80/query -X POST -d $'mutation { set {<alice> <follows> <bob> . \n <alice> <name> "Alice" . \n <bob> <name> "Bob" . }}'
-
-# Now run a query to find all the people Alice follows 2 levels deep. The query would only result in 1 connection, Alice to Bob.
-$ curl localhost:80/query -X POST -d '{me(_xid_: alice) { name _xid_ follows { name _xid_ follows {name _xid_ } } }}'
-
-# Make Bob follow Greg.
-$ curl localhost:80/query -X POST -d $'mutation { set {<bob> <follows> <greg> . \n <greg> <name> "Greg" .}}'
-
-# The same query as above now would now show 2 connections, one from Alice to Bob, another from Bob to Greg.
-$ curl localhost:80/query -X POST -d '{me(_xid_: alice) { name _xid_ follows { name _xid_ follows {name _xid_ } } }}'
-```
-Note how we can retrieve XIDs by using `_xid_` identifier.
-
-### Multiple distributed instances
-We have loaded 21M RDFs from Freebase Films data along with their names into 3 shards.
-They're located in dgraph-io/benchmarks repository.
-To use it, install [Git LFS first](https://git-lfs.github.com/).
-I've found the Linux download to be the easiest way to install.
-Note that this repository has over 1GB worth of data.
-```
-$ git clone https://github.com/dgraph-io/benchmarks.git
-$ cd benchmarks/rocks
-$ tar -xzvf uids.async.tar.gz -C $DIR
-$ tar -xzvf postings.tar.gz -C $DIR
-# You should now see directories p0, p1, p2 and uasync.final. The last directory name is unfortunate, but made sense at the time.
-```
-For quick testing, you can bring up 3 different processes of Dgraph. You can of course, also set this up across multiple servers.
-```
-go build . && ./dgraph --instanceIdx 0 --mutations $DIR/m0 --port 8080 --postings $DIR/p0 --workers ":12345,:12346,:12347" --uids $DIR/uasync.final --workerport ":12345" &
-go build . && ./dgraph --instanceIdx 1 --mutations $DIR/m1 --port 8082 --postings $DIR/p1 --workers ":12345,:12346,:12347" --workerport ":12346" &
-go build . && ./dgraph --instanceIdx 2 --mutations $DIR/m2 --port 8084 --postings $DIR/p2 --workers ":12345,:12346,:12347" --workerport ":12347" &
-```
-Now you can run any of the queries mentioned in [Test Queries](https://github.com/dgraph-io/dgraph/wiki/Test-Queries).
-You can hit any of the 3 processes, they'll produce the same results.
-
-`curl localhost:8080/query -XPOST -d '{}'`
-
-## Contributing to Dgraph
-- See a list of issues [that we need help with](https://github.com/dgraph-io/dgraph/issues?q=is%3Aissue+is%3Aopen+label%3Ahelp_wanted).
-- Please see [contributing to Dgraph](https://wiki.dgraph.io/index.php?title=Contributing_to_Dgraph) for guidelines on contributions.
-- *Alpha Program*: If you want to contribute to Dgraph on a continuous basis and need some Bitcoins to pay for healthy food, talk to us.
## Contact
- Please use [discuss.dgraph.io](https://discuss.dgraph.io) for documentation, questions, feature requests and discussions.
- Please use [Github issue tracker](https://github.com/dgraph-io/dgraph/issues) **ONLY to file bugs.** Any feature request should go to discuss.
- Or, just join [](http://slack.dgraph.io).
-
-## Talks
-- [Lightening Talk](http://go-talks.appspot.com/github.com/dgraph-io/dgraph/present/sydney5mins/g.slide#1) on 29th Oct, 2015 at Go meetup, Sydney.
-
-## About
-I, [Manish R Jain](https://twitter.com/manishrjain), the author of Dgraph, used to work on Google Knowledge Graph.
-My experience building large scale, distributed (Web Search and) Graph systems at Google is what inspired me to build this.