1/ There's an interesting dichotomy that has emerged between the #BTC price targets of traditional institutions and the battle-hardened crypto natives
The former targetting $400k-$1m+ have become the moonboys, while the latter is much more conservative targetting $50k-$120k
2/ Previously, I'd align myself closer to the latter group
But the ostentatiousness of the moon targets should not be ignored. It tells me that these massive capital allocators are fully bought in and committed
They've aligned their personal accounts, funds, and social capital
3/ Guggenheim, Scaramucci, Saylor, etc.
They will shill their hearts out with 1000x the impact that any of us can hope to have or thought possible
4/ They will sway immense pockets of capital that we thought would never touch #BTC
For this reason, I think this cycle will go further than many of us would expect
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1/ Algorithmic stablecoins seem primed to explode this coming year similar to how oracles ( $LINK, $BAND, etc) had a great past year
2/ Stablecoins have achieved product-market fit at a mind-blowing scale - with demand for stables pushing total supply into the tens of billions and still exponentially expanding
They're used as SOVs (Eurodollar 2.0) and MoEs in & outside crypto
3/ The issue with current stablecoins is that they are not truly censorship-resistant. They can be shut down & represent a weak link in our DeFi ecosystems.
What's desperately needed are truly decentralized stablecoins. These can make DeFi applications truly unstoppable
1/ Genericized Impermanent Loss Insurance - A new proposed financial primitive for bootstrapping AMM markets
2/ Last year, @synthetix_io pioneered liquidity mining - the model of incentivizing liquidity in markets via paying rewards to LPs in @UniswapProtocol and @CurveFinance
Rewards are streamed through the "mintr contract" which has become a mainstay of liquidity mining programs
3/ Liquidity mining allowed new projects to disintermediate centralized exchanges and market makers and bootstrap their own liquidity - saving significant time & resources for projects with many other positive externalities
Pretty cool to see a project that originally raised $130M (and never launched) ended up being launched by anon devs with 0 funding with a few months of dev work
Goes to show how excessive some of these fundraises in crypto actually were
That being said, I think it's well accepted that the Basis model doesn't actually work in a real world setting
Cool experiment and I think algorithmic stablecoins will be a pretty hot category this year, but imo there are better ones out there
Also, these capped farm launches are pretty dumb. The intent is to improve distribution, but funds that have inhouse developer resources just end up eating all the cake