Mainnet Beta 2 Released!
Dear Stegos Community,
Thank you for all your testing feedback. We’re pleased to announce the release of Mainnet Beta 2. In addition to lots of improvements and UI tweaks, the most exciting feature of Mainnet Beta 2 is Windows support. So you can now use the app on Mac, Linux or Windows.
Please visit releases to download the app.
As always, please send comments, bug reports and any other feedback to [email protected]. No comment is too small!
The Stegos Team
To download the Stegos app
1. Visit releases
2. Scroll down and click “Assets”
3. Mac users should click StegosWallet-0.13.0.dmg to download the app.
If you aren’t sure which Linux distribution you’re using, click stegos-wallet-0.13.0-x86_64.AppImage.
Windows users should click StegosWallet.Setup.0.13.0.exe.
Changing the app language
The Stegos app now has Chinese language support! To access it, click the settings icon in the top right of the main account screen.
Now, click the dropdown menu and change the setting from “English” to “Chinese”.
Getting mainnet beta tokens
To get test STG to use the mainnet beta, please use our faucet bot in our Telegram Channel.
First, find your wallet address. Click “Receive” in the menu on the left (you can also select a specific account and click the orange “Receive Tokens” button).
Choose an account to receive tokens to from the drop down menu and then click Next (if you haven’t created any new accounts, your default account will show here).
You will now see the public key for your account. Click “Copy address to clipboard”.
The STG faucet bot is called StegosLeprechaunBot.
Send it a direct message in Telegram in the following format: /get <your STG wallet address>
The bot will now send you 1000 STG. The Stegos blockchain is fast, so it should arrive in your Stegos account in just a few seconds!
The app is in its earliest public testing phase, so we need your feedback! If you have any comments, feedback, or spot any bugs, please send them to [email protected].
Updates to the desktop app will be released regularly based on this feedback.