Insightful read about Type-3 stablecoin proposed by @capmoney_ , one of the coolest design I have seen in a while and I want to simplify a bit.
In yield generating stablecoin today, we have 2 major types:
Type 1: Tokenised hedge fund
Type 2: DAO-allocated yield strategy
🧵
1/
Type 1 Stable:
(Tokenised hedge fund)
Marketplace where project utilise user's deposits to generate yield while the team gets the final say over the model and resource allocation.
This design is the most common because it's relatively simple to launch by focusing on one or few strategies.
But the trade off is that no strategy can sustain above-market yields forever and therefore losing TVL to certain strategy depending on market condition.
A DAO / committee that can delegate user deposits to get expose for various yield strategies.
Committee are the decision maker instead of the project, and token holders can delegate their token (aka voting power) to professional delegates such as @EntropyAdvisors / @Blockworks_ / @SteakhouseFi to maximise protocol return.
The tradeoff would be group corruption (Bribing is common in DAO-driven structure) and the lack of efficiency due to the stage of processing.
Example:
@SkyEcosystem
@maplefinance
3/
Type 3 Stable:
(Self enforcing / market based yield strategy)
Capital is allocated autonomously based on the performance of various yield strategies in different market conditions, and yield is "guaranteed" by sharing the risk with restakers.
In short, there are 3 major parties in type 3 stable:
- Operators
- Restakers
- Depositors (Users)
Operators are institutions tasked with generating yield, where restakers can delegate their assets to the operators to provide "guarantees" and trust in return for yield. User deposits are then utilized and deployed into different strategies according to market dynamics.
Yield is the "Sum of the deposit rate at major lending markets, plus the added utilization premium at the protocol" (Now only @capmoney_ is doing). Any yield falling below the benchmark for too long will either be slashed or dropped from the protocol.
While this design minimizes human decision intervention, complexity in algo design and much like Type 1 stable, the role of token utility remain tricky questions as governance power is given to market to design.
Competition from Type 1 stable startegy during peak bull markets is also a concern that both Type 2 and Type 3 stablecoins face.
@capmoney_ is the only one that doing it and pioneering and I would say they are one of the best / coolest stable design i have seen in a while.
What is the "Secret Sauce" behind the success of @pendle_fi ?
And what does the future hold for Pendle?
A "crypto native" deep dive on Pendle and why I believe $pendle is irreplaceable for the next bull of DeFi 🧵 (/20+)
(Ft. @BTC_CRO)
1/ In this thread, I will talk about:
1️⃣ Team and Background
📙 P2
2️⃣ WTF is Pendle ?
📙 P5
3️⃣ Insight into the Current State of Pendle
📙 P10
4️⃣ The Pendle War
📙 P15
5️⃣ The key to success
📙 P18
6️⃣ The future of Pendle
📙 P19
Without further ado, let's dive in.
2/ 1️⃣ [Team]
Pendle was founded in 2021, the team is mostly based in SG.
Core members include:
CEO @tn_pendle
CTO @gabavineb
Head of Institutional @imkenchia
Growth lead: @DDangleDan
...
Despite being a small team, they are extremely motivated and capable of building coolshit
I did a light comparison between @eigenlayer , @symbioticfi and @Karak_Network.
A thread 🧵 👇 (x/31)
In this thread, I will cover:
1) What is AVS and re-staking? 2) The key architecture and metrics of Eigen, Karak, and Symbiotic (🎯 P.5) 3) The comparison (🎯 P.21) 4) Conclusion (🎯 P.27)
This is a light comparison.
LRT, AVS eco, Risk will be covered in da next thread 🏄♂️
1/ What is AVS and re-staking?
AVS stands for Actively Validated Service.
This term basically describes any network that requires its own validation system (E.g., oracles, DA, bridges etc)
In this thread, AVSs can be understood as projects that uses the re-staking service.
Many are calling TAO the future of decentralized AI.
However, what really make them stand out from the other AI?
Is it their subnet? Is it the Yuma consensus?
Or their incentive structure?
A 5 mins digestive research on @opentensor, with an overview of the subnet ecosystem 🧵
In this thread, I will talk about:
1️⃣ TAO Background
2️⃣ Why TAO?
3️⃣ Overview on TAO architecture 🎯 6/
4️⃣ The TAO subnet
5️⃣ How validation works in TAO?
6️⃣ How mining works in TAO?
7️⃣ The ecosystem of TAO-Subnet 🎯 16/
8️⃣ Tokenomics 🎯 22/
Without further ado, Let's dive in.
1/ WTF is TAO?
TAO, aka @opentensor is a POW network designed to continuously reward and incentivize new/improved development of AI/ML models via "TAO economy"
In simple words, Bittensor is paying you to build AI together.
Before going deeper, let's look at TAO's background.
Yet, high fee and the lack of programmability have become a burden of many ZK-apps 😢.
Along with $TIA & @0xPolygonLabs zkEVM, Manta will provide the scalability & lower fees needed for zk-app.
A digestible research on @MantaNetwork 🧵
1/ In this thread, I will cover:
1️⃣ Why do we need on-chain privacy?
2️⃣ What is Manta Pacific?
3️⃣ The core piece of Manta, Universal Circuit
4️⃣ ZK shuffle
5️⃣ The role of Celestia and Polygon zkevm
6️⃣ Manta Ecosystem & Roadmap
7️⃣ $Manta airdrop
8️⃣ Conclusion
Let's dive in now 🥽
2/ 1️⃣ Why do we need on-chain privacy?
Public blockchains are known for their transparency and for enabling transactions without intermediaries.
While this is crucial, privacy is still demanded by users/institution who don't wish their on-chain activities to be an "open-book."