We’re excited to announce our partnership with Peapods Finance (@PeapodsFinance | peapods.finance) to enhance the protocol’s streaming data infrastructure using EmpyrealSDK.

Empyreal will be improving protocol metrics and refining data handling with our Data Streaming module, helping Peapods deliver a superior user experience.

Data is a foundational layer of DeFi, and Peapods need to work with pod and market data in a way that’s lightning fast and easy to query.

Adding Empyreal’s intelligent infra to their backend will help them work with data more efficiently, deliver improvements to their dApp frontend, and attract more users.

We’re also excited about the revenue potential of this partnership. Peapods have created a novel DeFi primitive and our revenue upside will be closely linked to volume generated on the Peapods platform. We’re looking forward to taking this journey together.

Peapods have grown to $43m+ TVL in just 3 months. $27m of that is other protocol’s tokens (there are even two $EMP pods). They launched on Arbitrum in March, with more L2s coming soon thanks to integrating with LayerZero.

We’re thrilled to be working with a team that has created something truly innovative. One that shares our ambition for expanding across the DeFi landscape — one token, protocol, and chain at a time.

Stay tuned for more soon!

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We’re bringing AI agents to LogX, making it possible for perps traders to build and run complex strategies.

Automated yield optimization is another innovative use case of our tech, and a big part of the AI-powered DeFi we’re enabling with our intelligent infrastructure.

Yield will always be out there. The problem is there’s a lot of friction if you want to maximize it: depositing and withdrawing, transferring from one chain and protocol to another, not to mention transaction costs.

With new protocols and vaults launching almost every day, the best available yield is always changing. There’s over $100bn TVL in DeFi already, so the opportunity in removing friction is already huge — and going to get much bigger very soon.

Our AI agents will make yield optimization effortless by removing all the friction. It will be as simple as saying you want to rebalance your portfolio between particular vaults, skewing more heavily toward the vault with the highest yield, and doing it twice a week at times when gas is below a certain price.

AI agents have delegated authority to act on your behalf and translate your desired strategy into onchain actions:

• Tracking market conditions in real-time
• Monitoring yields of every vault in every protocol
• Autonomously rebalancing your portfolio to ensure optimal yield
• Executing transactions when it’s most cost-efficient
• Taking into account historical gas price data and current network congestion
• Following guardrails which you set: specific assets, wallets, protocols, pairs, and more

By removing friction and automating yield strategies, we’re making the hunt for yield more accessible and more efficient. And every participant in the ecosystem stands to benefit:

• Protoctols stand to gain if they add automation for yield optimization by partnering with Empyreal through increased user activity now that our AI agents have removed existing friction.
• Users benefit from being able to find the most optimum yield for their strategy and risk appetite.
• $EMP stakers benefit by receiving 50% of fees for every automated transaction to optimize yields across every participating protocol.

We’re just getting started on our journey to conquering web3 by removing friction and enabling AI-powered DeFi with our intelligent infrastructure.

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How is our roadmap charting a course to enabling AI-powered DeFi with our SDK, allowing users of protocols and dApps to deploy AI agents which will contribute to Empyreal revenue with each transaction?

• Facilitating complex AI agent requirements. Our cloud-native architecture ensures scalable and efficient data pipelines for AI agents, enabling streamlined blockchain data processing to meet their sophisticated needs in web3 environments.
• Optimizing AI model learning. By developing scalable data pipelines that transform diverse datasets from sources like DEXes into accessible formats, we provide AI models and agents with the critical, structured data they need.
• Enhancing AI decision-making. Our use of distributed computing technologies like Apache Beam allows for rapid processing of vast blockchain data volumes, crucial for AI agents to perform timely and complex analyses.
• Accelerating AI analysis. Our data lake stores and manages extensive raw blockchain data, enabling parallel processing that significantly speeds up complex queries for real-time AI decision-making.
• Scalable deployment of AI agents. We’re creating a cloud-native environment that supports the deployment of AI agents reacting to dynamic data feeds, ensuring they operate with a deep understanding of both historical and current blockchain data.
• Automating securely with privacy. Our focus on leveraging cloud-native infrastructure for both automation and privacy technologies, like the Enclave using Oasis Sapphire, allows for secure private transactions without compromising privacy or private keys.
• Trustless execution of trading strategies. We’re establishing trustless mechanisms for deploying trading strategies, allowing for the precise control over actions executed by AI agents, enhancing security for our partners and users.
• Empowering strategy-specific data feeds. Our infrastructure enables the customization of data feeds crucial for AI-driven trading strategies, providing the flexibility to subscribe to tailored data sets for real-time and historical strategy execution.
• SDK development for trading strategies. We’re enhancing the SDK for strategies like DCA and grid trading, emphasizing minimal trust requirements.
• Onboarding trader power users and strategy deployment. We’ll be allowing trader power users to test and deploy trading strategies, learning from their needs to refine the SDK and possibly develop a user-friendly frontend for traders.

Partnerships Update

• Banana: Collaborating on their web app which utilizes EmpyrealSDK for swap data and token pair information.
• LogX: Enhancing automation and trading strategies, especially for order book trading.
• UniTerminal: Working on transfer data and metrics to improve user experience, addressing the challenge of parsing large datasets.
• TokenSight: Providing OHLCV data, addressing the common challenge of sourcing this information for various applications.

Community Q&A

Q: Will the AI agents built on Empyreal SDK become part of revenue generator alongside the data stream and any protocol partnerships?
A: Yes, AI agents and trading strategies are central to our revenue generation model, with every trade generating revenue that benefits Empyreal and our partners, contributing to the yield for token holders.

Q: What are one to two things you’re currently working on that you’re most excited about?
A: We see opportunities for automation beyond trading strategies, like arbitrage and managing protocol revenue, as broadly applicable. Our work with PeaPods on EMP pods showcased our infrastructure’s capability to address a wide range of problems, signaling the versatility of our system for different use cases.

Q: How do you see the team changing or expanding over the next six to twelve months?
A: We aim to hire one or two more team members, especially a data scientist or quant, to enhance our focus on automation and strategy development. A quant hire could significantly influence our product decisions by applying traditional trading principles to our infrastructure.

Q: What are one or two most underappreciated things about Empyreal that if better understood by the wider market, you’d see significantly increased adoption?
A: We believe the Enclave’s fast, privacy-preserving bridging capabilities are underappreciated. Its potential for wallet abstraction and privacy layers across networks could significantly impact if more widely understood and adopted.

Q: As the market gets more bullish, is it making it harder or easier to find good partners?
A: While a bullish market may increase potential partnership opportunities, our focus remains on well-scoped work and solid existing partnerships. We’re not in urgent need of new partners due to the promising potential and growth trajectories of our current collaborations.

Q: What are you looking for in your protocol partners?
A: We seek teams committed to innovation and solving real user problems sustainably. It’s crucial that our partners are focused on long-term solutions rather than short-term gains.

Q: Any type of protocol that you haven’t partnered with yet that you’re keen on working with?
A: We’re interested in exploring partnerships in the yield and LRT space, recognizing the early stage of LRT protocols. Yield management is particularly appealing due to its optimization potential and the value it can add to DeFi participants.

Q: When do you plan to start sharing specific revenue data, historical and also running consistently going forward?
A: We’re approaching a point where sharing revenue data and initiating staking becomes viable, with a bullish estimate for early April and a conservative estimate for later in Q3.

Q: Possibility of buyback and burn in the future?
A: We are not considering buybacks and burns as they rarely offer long-term benefits to the protocol; our focus is on adding substantive value rather than affecting the price through buybacks.

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EmpyrealSDK is on a mission to radically simplifying user journeys and removing friction through our groundbreaking tech.

Our ambition is to become the new standard for intelligent infrastructure by building infra that enables every DeFi player — protocols, dApp developers, power users — to build and deploy AI-powered onchain services.

EmpyrealSDK is realizing this ambition by bringing autonomous agents to life with scalable and flexible automation, real-time data streaming, and account abstraction that facilitates a trust-minimized environment.

Let’s look at how EmpyrealSDK has ideal product-market fit with DeFi protocols and dApps, the market opportunity, and how our roadmap for Q1/Q2 2024 is getting us closer to becoming the infra powerhouse behind premier DeFi products.

Solving persistent challenges for DeFi

EmpyrealSDK’s focus on real-time data streaming, intuitive autonomous agents, account abstraction, and snap-to-grid modular design give us ideal product-market fit for DeFi protocols and dApps.

The challenge and the opportunity for DeFi is creating real-time, block-by-block automations based on streaming real-time data, and doing so in a delegated, trust-minimized environment.

• Access to accurate real-time data is essential to be able to make decisions around yield, price, and other variables — for both users and protocols.
• Data needs to be processed on the fly by trained models to determine the best action to take in pursuit of yield-bearing and other opportunities.
• Onchain actions have to be executed in a timely manner to take advantage of these time-sensitive opportunities.
• And those onchain actions need to be executed in a delegated, trust-minimized environment to preserve the safety of funds and avoid compromising wallet or protocol security.

That’s exactly why we are building EmpyrealSDK, and our solution has many applicable use cases across the DeFi space today:

• Yield optimization
• AI trading
• Analytics for protocols and users
• MEV optimization
• any use case that requires data and automation with trust-minimized delegation

Billions in TVL: The market for AI-powered DeFi

In last cycle’s peak, DeFi TVL reached $108bn on Ethereum (Nov 2021). Today there is $43bn TVL on Ethereum DeFi alone (Feb 2024). We are expecting the current cycle’s peak to be multiples higher than 2021 because of institutional adoption, so estimate that Ethereum alone could see DeFi TVL between $250bn and $350bn by 2025.

Using EmpyrealSDK, DeFi protocols can offer their users block-by-block automations based on real-time data in a trust-minimized environment. This would add another revenue stream and create a positive engagement flywheel for protocols, allowing users to select a premade trading or portfolio rebalancing strategy or to design a custom one of their own. And developers of trading, portfolio management, or yield optimization tools could add an additional source of revenue by allowing users to create their own automations using the same foundational elements of the SDK.

In all the examples above, EmpyrealSDK is the one stop shop to provide these services out of the box, with minimal hassle and easy snap-to-grid modular integration into any protocol or dApp. We’re building all of these components, fully integrated, from the ground up — giving us a significant advantage over others who are working on them piecemeal.

How much of that $250bn and $350bn TVL will go in search of the best possible yield on a daily or weekly basis, want to execute a grid trading strategy on highly liquid pairs, seek to autocompound yield from one protocol and deposit it into another, and countless other actions that can only be enabled by real-time data and timely on-chain execution?

We see a tremendous opportunity for EmpyrealSDK here, and we’re just at the very beginning of our journey to conquering DeFi and web3. Our business model is transparently outlined in our white paper: we collect fair fees on every transaction facilitated by EmpyrealSDK, and we share 50% of those fees with $EMP stakers.

Validating our solution & forming partnerships

Our conversations with major protocols have only confirmed that we’re working in the right direction, and that we’re solving problems that nobody else has been able to solve. We can’t wait to reveal some of the projects that we’re going to be partnering with in the coming weeks and months.

We’re continuing to execute against our two-pronged partnership strategy: top-down to tier 1 protocols that already have tens of thousands of users and hundreds of millions in TVL, and bottom-up with eager developers looking to build new products incorporating EmpyrealSDK.

Roadmap Q1/Q2 2024

Our roadmap will take us closer to realizing our vision of becoming the standard for intelligent infrastructure by building infra that enables every DeFi player to build and deploy AI-powered onchain services:

AI Model Training and Data Feeds

• Enhancement pipelines for our library of data inputs used to train AI models
• Data feeds for 2 soon-to-be-disclosed protocols
• LRT/LSD data feeds
• Indexed data lake of raw Ethereum transaction & event data

Where we’re at

We’ve built indexing infrastructure that allows for serving complex data on transfers and swaps to our downstream clients. We have built this as a generalizable framework and are working on scaling this infrastructure to facilitate handling more data, faster.

We currently have capabilities for UniswapV2, UniswapV3, SushiSwap, and many other smaller DEXs on Ethereum and Arbitrum, perps from GMX and Orderly, and price data from CoinGecko, Binance, and ChainLink, and we will be working to improve the process for adding new data feeds seamless to our indexing and processing pipelines so we can support diverse, multichain requirements.

What’s next

We’re continuing to add more events to our indexing and processing pipelines so AI-powered strategies will have more information at their disposal because access to accurate real-time data is essential to be able to make decisions around yield, price, and other variables — for both users and protocols. And that data needs to be processed on the fly by trained models to determine the best action to take in pursuit of yield-bearing and other opportunities.

Architecture for Automation and Privacy

• Pipeline migration to cloud native infrastructure for scaling up to millions of simultaneous agents processing Terabytes of data
• Trustless deployment of proprietary trading strategies
• Account abstraction to facilitate trustless delegation of transaction authority to autonomous agents
• Custom selection of data feeds to power trading strategies
• Backtesting of trading strategies against historical data

Where we’re at

We currently have infrastructure to manage data for our customers on metrics like swaps, token prices, transfers, and some additional customized metrics. We’re migrating our pipelines to a cloud native infrastructure where we can scale to thousands of data processing pipelines for real-time analytics.

Our infrastructure is being built for a library of data inputs used to train AI models using industry best practices. This will allow for more rapid backtesting, feature generation, and mobilizing these features to train diverse models.

We have an architecture to support individualized trading strategies and onchain automation, which we’re now strengthening to enable deployment of millions of simultaneous autonomous agents.

What’s next

Building these items is what will drive our monitors, trading strategies, and metrics for our library of data inputs used to train AI models. By ingesting data real-time in our distributed architecture, we are able to ingest a large amount of data, process it in real-time, and feed this into our subscriptions that are used by our real-time autonomous agents.

We’re scaling our infrastructure to process more data in less time. As we process more datasets and begin to use them to trigger our onchain actions, we will be able to scale effortlessly to handling advanced analytics on real-time data.

And we’re building customizable strategies ingesting information from our diverse datasets for trading strategies, Maximal Extractable Value (MEV), and monitors for onchain events that can trigger processing pipelines to result in timely onchain actions for users of EmpyrealSDK.

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2024 is going to be a very big year for Empyreal. The foundations we laid are enabling us to focus on scaling up — and we’re only just getting started.

Watch as we become embedded in the very fabric of web3, enabling every DeFi player — protocols, dApp developers, power users — to build and deploy AI-powered onchain services.

And through it all, Empyreal is unlocking value — one protocol, project and product at a time — and capturing it through our token.

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We often get asked what differentiates EmpyrealSDK from other seemingly similar products on the market.

In short, we’re taking an innovative approach to developing autonomous agents, focusing on robust data handling and action-taking capabilities.

Our approach is unique in several key aspects: scaling data diversity, maintaining low latency, rapid action-taking based on data, and building flexibility into agents.

1. Enhanced Data Handling and Diversity

EmpyrealSDK emphasizes scaling the diversity of data sources, which is crucial for an autonomous agent’s effectiveness. Unlike others who may face challenges in scaling their data or developing relevant features, we aim to continuously expand and diversify data sources.

The goal is to build an enterprise data pipeline capable of handling an increasing variety of data. This reflects our learnings from large tech companies that manage interactions for billions of users, and a clear understanding of what we need to put in place to handle massive, diverse datasets efficiently.

2. Low Latency and Rapid Action-Taking

Maintaining low latency is a critical requirement. This means that EmpyrealSDK is designed to quickly access and process data, enabling real-time or near-real-time decision-making.

The ability to quickly take action based on historical and current data sets EmpyrealSDK apart. It indicates a system that not only gathers and analyzes data efficiently but also translates these insights into actions promptly.

3. Flexibility and Scalability

EmpyrealSDK is designed to allow the building of autonomous agents that can utilize various data sources to act on a wide range of protocols. This flexibility is vital for adaptability in different environments and use cases.

The focus on scalability, particularly for becoming an enterprise data warehouse, is another distinguishing factor. It enables us to manage vast amounts of data from multiple networks and potentially offchain sources, unlike other solutions that may not scale as effectively.

4. Innovative Architecture and Customization

EmpyrealSDK’s architecture is built from first principles to integrate deeply with data sources, like extending the RPC and connecting ingestion pipelines directly to it. This deeper integration allows for more efficient data processing and customization than standard methods like consuming from a websocket.

EmpyrealSDK’s ability to perform efficient backfills of historical data for new and interesting queries showcases an emphasis on both the present and past data analysis, providing a comprehensive view.

5. Practical Applications and Real-Time Improvements

Our approach to data is already being applied in real use cases. For instance, we’ve been able to quickly add new automations for tracking holder data and populate a data warehouse.

EmpyrealSDK’s efficiency is highlighted by the significant reduction in time taken for data processing tasks, like running backfill jobs on swap events.

6. Leveraging Experience from Large Enterprises

Our team’s experience in large enterprise tech companies is being leveraged to enhance EmpyrealSDK’s technology stack. This experience provides valuable insights into handling large-scale data and user interactions efficiently.

Applying principles from large tech companies to this new context enables us to blend proven methodologies with innovative approaches.

7. Event-Driven Architecture

EmpyrealSDK’s underlying data technology is similar to the event-driven architecture of a social media platform’s newsfeed. It’s capable of handling real-time data streams and aggregations to surface relevant information efficiently, akin to how social media platforms surface content to hundreds of millions of unique users.

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Our approach to creating actionable data and enabling autonomous agents with EmpyrealSDK is differentiated through our emphasis on scalability, low-latency data processing, flexibility in handling diverse data sources, and the ability to rapidly translate data insights into actions.

The architecture’s innovative design and our experience from large tech companies further enhance EmpyrealSDK’s capabilities, making it well-suited for enterprise-level applications and adaptable to a wide range of use cases.

This step brings us closer to our vision of trust minimized environments powered by intelligent data and autonomous agents brought to life by EmpyrealSDK.

Think of the Enclave as a privacy layer for your wallet. It enables multichain, privacy-preserving ETH transactions with robust end-to-end encryption and on-chain privacy, powered by Oasis Sapphire.

Releasing the Enclave as a standalone EmpyrealApp is an important revenue generation milestone that moves us further along on our roadmap. Soon we’ll be extending it as an SDK module to our partners and teams building with EmpyrealSDK.

How to use the Enclave

1. Visit and bookmark https://enclave.empyrealsdk.com
2. Connect your wallet.
3. Generate an Encryption Key for your current wallet.
4. Link the key with your wallet.
5. Deposit tokens to securely wrap them into the Enclave.
6. Now you can transfer your tokens to another wallet, bridge them to another chain, or withdraw them from the Enclave on a wallet you control — in total privacy.

How does the Enclave ensure your privacy?

🔐 Any transaction you want to perform is encrypted using the Enclave’s symmetric key and your wallet’s Encryption Key.

🔐 Encrypted transactions are trustlessly relayed to the Enclave using Oasis Sapphire, ensuring complete privacy during the relay process.

🔐 The Enclave serves as a privacy layer, obfuscating the details of transactions while keeping assets secure.

FAQs

💬 Which assets can I transfer?
✅ ETH for now.

💬 How much can I transfer?
✅ 10 ETH max per transaction at launch. Caps will be adjusted going forward.

💬 3. Which chains does it support?
✅ Ethereum and Arbitrum for now (more coming soon).

💬 See https://enclave.empyrealsdk.com/faq for more.

Multichain, privacy-preserving ETH transactions made easy. We’re bringing The Enclave — powered by Oasis Sapphire — to Ethereum Mainnet, now in early access.

Today we’re opening up early access to our award-winning privacy-preserving dApp on Mainnet. What does it do?

Say you want you to privately send funds from ETH and receive them in a fresh wallet on ARB? Easy peasy.

The Enclave allows you to wrap tokens into it, execute private transactions inside it, and unwrap back to a wallet you control with robust end-to-end encryption and privacy. And it facilitates encrypted state and transaction activities.

It won top prize at Oasis’s Privacy4Web3 Hackathon 2023 for best project for scaling privacy with Sapphire. It currently supports Arbitrum and Ethereum, with more chains coming soon.

How The Enclave works

🔐 Unique Encryption Key: Generate a unique Encryption Key in the Enclave for each wallet, which is used for secure fund management.

🔐 Transaction Encryption: Any transaction you want to perform is encrypted using the Enclave’s symmetric key and your generated Encryption Key.

🔐 Secure Relaying: Encrypted transactions are trustlessly relayed to the Enclave using Oasis Sapphire, ensuring complete privacy during the relay process.

🔐 Privacy Layer: The Enclave serves as a privacy layer, obfuscating the details of transactions while keeping assets secure.

FAQ

▶️ 1. How can I try it out? Like and retweet this post, and keep your DMs open.

▶️ 2. Which assets can I transfer? ETH for now.

▶️ 3. How much can I transfer? 10 ETH max per transaction at launch. Caps will be adjusted going forward.

▶️ 4. Which chains are supported? Ethereum and Arbitrum for now (more coming soon).

The Enclave on Mainnet is the latest product we’ll be launching under our EmpyrealApps umbrella, which we’re using to bring new revenue-generating products we find lacking in the market.

We’re excited to be bringing more robust privacy and security to the Ethereum ecosystem. Our ambition is to launch the Enclave on more chains soon — stay tuned!

We’re excited to open up the first release of our SDK and achieve the next milestone on our roadmap to transforming and democratizing Web3 development.

Devs, power users, curious newbs, and all life forms with access to a keyboard and the interweb are invited to start building with and integrating our modules into their apps.

Some teams are already building with the EmpyrealSDK’s modules — we are beyond excited to peel back the curtain to reveal our first strategic partner next week. Stay tuned!

SDK modules available in v1

• Telegram Toolkit
• Trading Features
• Data Streaming
• Wallet Management (for custodial wallets)

How to get access

Visit https://empyrealsdk.com/tools and follow these easy steps:

1. Complete the SDK access form
2. Join our Discord server
3. Generate your API key via the Empyreal Hub on Telegram
4. Use your API key to start building

We’re proud to put v1 of the SDK out there for you to build with, and can’t wait to see what creative uses you will put it to.

We believe our SDK’s low-code, modular approach — packed with automation, data-streaming, and unmatched privacy through account abstraction — is going to be a game changer.

Originally published at https://empyrealsdk.com on December 3, 2023.

We’re over the moon to announce that EmpyrealSDK’s the Enclave module clinched the top spot in its category at the Oasis Privacy4Web3 Hackathon 2023!

It was recognized in the “Best use of Oasis Sapphire for scaling privacy” category as the top entry.

Our module, the Enclave, is all about precision & control, empowering users to delegate specific contract tasks while ensuring top-notch security & customization. To see it recognized by Oasis is an honor.

This module allows users to automate multichain strategies & establish safeguards. We’re pushing boundaries, and it’s gratifying to know our efforts resonate with industry pioneers.

A big THANK YOU to everyone who believed in us & to Oasis for the hackathon challenge. We’re just getting started, and this win fuels our journey to simplify Web3 development.

Watch Empyreal lead dev Johnny’s demo of our award-winning entry.

Originally published at https://empyrealsdk.com on October 18, 2023.

Autonomous agents. Enhanced privacy. Flexible capital management. Unlocking new revenue streams. Empyreal co-founder and lead dev Johnny shares what he sees on the horizon for the coming year.

I’m excited about our growth plans and the vision of a more intelligent, powerful and flexible DeFi. We’re particularly psyched about our new partnerships and our ambition to be a foundational piece of Web3 infrastructure.

Here’s a sneak peek of some of our key development pillars for next year.

1. Effortless automation — harnessing the power of multichain autonomous agents

Foundations we’ve laid in 2023 will enable us to drive complex automation strategies utilizing multichain liquidity and multichain indexing. I’m especially excited to extend this to yield-bearing opportunities. Look out for some cool partnerships early in the year that will bring this vision to life.

2. DeFi your way — privacy and automation using Oasis Network

Create secure abstractions on intricate processes via Oasis Sapphire. Now we can build complex applications that leverage more flexible control without sacrificing user security. Stoked to see amazing new use cases coming to life using this tech.

3. Delegate capital at peace — NFT tokenized positions

Imagine a trust-minimized way of delegating capital management of complex positions. For instance, with positions tokenized as NFTs, a user is able to grant autonomy over their funds to allocate them to flexible UniswapV3 positions.

4. Unlocking new revenue streams — UniswapV4

A big focus for us in 2024. Being able to design custom hooks, create DCA strategies for liquidity pools, and more will enable us to create new revenue opportunities that are currently only possible via tax tokens on UniswapV2.

Can’t wait to go on this journey with you all in 2024!