📣 NEW: Releases - yarn - v0.11.0

Hello Yarners! 🤗

Happy New Year! #2021 #NewYearsEve 🥳

For those of you that live on this side of the planet, Welcome to #2022 🥳

This year in Yarn we have a brand new version of yarnd
for you all with exciting new features! 🥳 Some of you have already been using them! 😅

Highlights:

• NEW Peers try to validate the authenticity of injected Twts between peers.This has finally #resolved the issue with my Avatar that kept reverting back and forth 😂
  
• NEW New refresh Metadata field added to the Metadata ext allowing feed authors to manually hint to clients as to how often their feeds should be fetched.
  
• NEW Moving Average Feed Refresh (currently in experimental) feature (Enable with moving_average_feed_refresh) that automatically backs off fetching/refreshing feeds based on an exponential moving average of feed’s update frequency. This helps to reduce traffic to pods and external feeds but keep the network convergent within 60s to 10m (on-pod are always instantaneous) 🚀
  
• NEW Improvements to the yarnc timeline command to support -r/--reverse and -n/--twts 🧑‍💻
  
• NEW Support for pruning old dead accounts a multi-user pod might accumulate. This sends an email to the Pod Owner on a weekly basis and uses a heuristic score ranges from 1000 (every user) to 2993 (users who have never posted, never updated any part of their profile). A Poderator (Pod Owner/Operator) is sent a weekly candidates of up to 10 users with a score > 1200 for consideration. 👻
  
• NEW Active Users. Pods now measure two key metrics a Poderator can track, Daily Active Users (DAU) and Monthly Active Users (MAU). These are only accurate to a day. 📈
  
• NEW New followers tracking that is now actually accurate and is pruned once-per-week. So now your “Followers” count, even across pods will be accurate and up-to-date 🥳
  
• FIXED Finally squished that annoying bug 🐞 causing profile data to flip-flop
  
• FIXED The LookupHandler() was fixed to support auto/tab-completion for external feeds! 🥳
  
• UPDATE Update Chinese and Taiwanese translations! 🇨🇳 🇹🇼
  

Big thanks to @gbmor for driving the need for some much needed network optimizations!
Thanks again to @ullarah for the many UI/UX updates and improvements! 🙇‍♂️
And thank you again to @venjiang for updating the CN and TW translations! 👌

As per usual, please provide feedback to @prologic@twtxt.net or reply to this Yarn 🤗