@Vueling@British_Airways@Aena@VirginAtlantic
My bag (tags VS919870 + DL265663) was loaded on BA490 LHR-BCN 22 Jan at 15:27. Virgin says it’s with you guys, and no one is replying to them - 5+ weeks missing! Let’s stop pointing the finger at eachother.
So far this year, I’ve written about:
✔️ Visa (x2) $V
✔️ PayPal (x2) $PYPL
✔️ Block $SQ
✔️ Affirm $AFRM
✔️ Klarna $KLAR
✔️ Wise $WISE.L
✔️ Shift4 $FOUR
✔️ Nubank $NU
✔️ Capital One $COF
✔️ Amex $AXP
✔️ Robinhood $HOOD
Which company should I write about next?
#TelosEVM now has its very own lending platform, built by the team at @OmniDex1!
This development brings another hugely valuable application onto the #Telos EVM, enabling users to now borrow and lend a variety of tokens on our lightning fast network! 🚀
$TLOS #DeFI
Why $TLOS is superior to your favorite L1 🧵🟣
The CCID publishes the 'Global Public Blockchain Technology Assessment Index' once a year.
The research is based on the actual underlying technology, unlike retail.
However, we all know that $EOS as a project is a massive failure
What will be the first wave of ML-driven companies that find success in crypto? If you're running inference on public blockchain data, how do you build a data moat, or build something defensible?
@longtailmev@FrankieIsLost proprietary features/signals is cool, but what about monetized, usage tracked, ranked, publicly open and “verified” features. Cambrian explosion of chain data ML would follow. A moat would be owning the most important features in your domain