BitTorrent's DHT is probably one of the most resilient and censorship-resistant networks on the internet. PeerTweet uses this network to allow users to broadcast tweets to anyone who is listening. When you start PeerTweet, it generates a hash @33cwte8iwWn7uhtj9MKCs4q5Ax7B which is similar to your Twitter username (ex. @lmatteis ). The difference is that you have entire control over what can be posted because only you own the private key associated with such address. Furthermore, thanks to the DHT, what you post cannot be stopped by any government or institution.
Once you find other PeerTweet addresses you trust (and are not spam), you can follow them. This configures your client to store this user's tweets and broadcasts them to the DHT every once in a while to keep their feed alive. This cooperation of following accounts, allows for feeds to stay alive in the DHT network. The PeerTweet protocol also publishes your actions such as I just followed @919c.. or I just liked @9139.. and I just retweeted @5789.. . This allows the possibility for new users to find other addresses they can trust; if I trust the user @6749.. and they're following @9801.. , then perhaps I can mark @9801.. as not spam. This idea of publicly tweeting about your actions also allows for powerful future crawling analysis of this social graph.

How does it work?
PeerTweet follows most of the implementation guidelines provided by the DHT RSS feed proposal http://libtorrent.org/dht_rss.html . We implemented it on top of the current BEP44 proposal which provides get() and put() functionality over the DHT network. This means that, rather than only using the DHT to announce which torrents one is currently downloading, we can use it to also put and get small amounts of data (roughly 1000 bytes).
PeerTweet differentiates between two types of items:

1. Your feed head . Which is the only mutable item of your feed, and is what your followers use to download your items and find updates. Your head's hash is what your followers use to know about updates - it's your identity and can be used to let others know about your feed (similar to your @lmattes handle). The feed head is roughly structured as follows:
   

   {
     "d": <unsigned int of minutes passed from epoch until head was modified>,
     "next": <up to 80 bytes of the next 4 items in the feed, directly 1,2,3 and 4 hops away. 20 bytes each.>,
     "n": <utf8 name of the feed>,
     "a": <utf8 http url of an image to render as your avatar>,
     "i": <utf8 description of your feed>
   }

2. Your feed items . These are immutable items which contain your actual tweets and are structured:
   

   {
     "d": <unsigned int of minutes passed from epoch until when item was created>,
     "next": <up to 80 bytes of the next 4 items in the feed, 1, 2, 4 and 8 hops away. 20 bytes each.>,
     "t": <utf8 contents of your tweet. up to 140 chars>
   }

Skip lists
The reason items have multiple pointers to other items in the list is to allow for parallel lookups. Our skip list implementation differs from regular implementations and is targeted for network lookups, where each item contains 4 pointers so that when we receive an item, we can issue 4 get() requests in parallel to other items in the list. This is crucial for accessing user's feeds in a timely manner because DHT lookups have unpredictable response times.

Following
When you follow someone, you're essentially informing your client to download their feed and republish it every so often. The DHT network is not a persistent one, and items quickly drop out of the network after roughly 30 minutes. In order to keep things alive, having many followers is crucial for the uptime of your feed. Otherwise you can still have a server somewhere running 24/7 which keeps your feed alive by republishing items every 30 minutes.

Install
Install dependencies.

Installing native modules
The app comes with some native bindings. I used this code to make it run on my computer:
Source: https://github.com/atom/electron/blob/master/docs/tutorial/using-native-node-modules.md
To get ed25519-supercop to work on Windows I also had to install node-gyp and all the Python2.7 and Visual Studio stuff which node-gyp requires: https://github.com/nodejs/node-gyp
Then run these commands to build it on Windows:

npm install -g node-gyp
cd ./node_modules/ed25519-supercop/
HOME=~/.electron-gyp node-gyp rebuild --target=0.36.9 --arch=x64 --dist-url=https://atom.io/download/atom-shell

Run
Run this two commands simultaneously in different console tabs.
Note: requires a node version >= 4 and an npm version >= 2.

Toggle Chrome DevTools

• OS X: Cmd Alt I or F12
• Linux: Ctrl Shift I or F12
• Windows: Ctrl Shift I or F12

See electron-debug for more information.

Toggle Redux DevTools

• All platforms: Ctrl+H

See redux-devtools-dock-monitor for more information.

Externals
If you use any 3rd party libraries which can't be built with webpack, you must list them in your webpack.config.base.js ：
You can find those lines in the file.

CSS Modules support
Import css file as css-modules using .module.css .

Package
To package apps for all platforms:

Options

• --name, -n: Application name (default: ElectronReact)
• --version, -v: Electron version (default: latest version)
• --asar, -a: asar support (default: false)
• --icon, -i: Application icon
• --all: pack for all platforms

Use electron-packager to pack your app with --all options for darwin (osx), linux and win32 (windows) platform. After build, you will find them in release folder. Otherwise, you will only find one for your os.
test , tools , release folder and devDependencies in package.json will be ignored by default.

Default Ignore modules
We add some module's peerDependencies to ignore option as default for application size reduction.

• babel-core is required by babel-loader and its size is ~19 MB
• node-libs-browser is required by webpack and its size is ~3MB.

Note: If you want to use any above modules in runtime, for example: require('babel/register') , you should move them form devDependencies to dependencies .