Arbitrum vs Polygon

Karolina

21 Sep 2023
Arbitrum vs Polygon

As the world of blockchain technology quickly progresses, the issue of scalability is among the greatest hurdles yet. With the expansion and popularity of decentralized applications (dApps) and smart contracts, finding effective and economical solutions is crucial. Two leading contenders tackling these challenges are Arbitrum and Polygon, each offering distinct Layer 2 scaling solutions and features. This article delves into the complexities of "Arbitrum vs Polygon" to help readers make well-informed choices for their blockchain requirements.

Understanding Layer 2 Scaling

Blockchain technology fundamentally consists of interconnected blocks which create a transparent and unchangeable ledger. However, as this technology gained widespread adoption, particularly through Ethereum's smart contracts and dApps, it was evident that Layer 1—the base layer—had limitations concerning transaction throughput and speed.

Often referred to as "L2," Layer 2 scaling presents a suite of solutions constructed atop existing Layer 1 blockchains. These solutions do not intend to supplant the main chain but rather augment its capabilities. By relocating certain operations from the main chain (such as calculations or storage) and subsequently consolidating them back, L2 solutions can significantly boost transactions per second, minimize fees, and enhance overall user experience.

Numerous L2 techniques exist, including state channels, Plasma, sidechains, and rollups. Each provides a unique scalability approach accompanied by individual advantages and trade-offs. Arbitrum and Polygon have risen as top solutions among these techniques, attracting both developers and investors.

Arbitrum

Read our post 'What is Arbitrum?'

Developed by Offchain Labs, Arbitrum is a Layer 2 scaling solution employing Optimistic Rollups that enhance the efficacy of Ethereum-based applications. Here's an in-depth examination:

Origin and Development

Arbitrum was devised to tackle Ethereum's scalability issues without jeopardizing security. The developers at Offchain Labs concentrated on crafting a user-friendly solution that lowers fees and expedites transactions for users.

Technical Insights

Arbitrum's central technology is Optimistic Rollup. Instead of performing each transaction on the main Ethereum chain, Arbitrum conducts the majority of transactions off-chain. These are periodically amalgamated into a single group and sent to Ethereum, significantly reducing data stored on the main chain and improving efficiency.

The "optimistic" aspect relates to how transaction validity disputes are managed. Arbitrum presumes transactions are valid unless contested, circumventing validation for each transaction. An on-chain mechanism is in place to resolve any disputes that may surface.

Adoption and Use Cases

Numerous applications and projects have started integrating with Arbitrum due to its advantages. Its ability to preserve Ethereum's security guarantees while bolstering its capabilities makes it an attractive option for many in the industry.

Polygon

Previously known as Matic Network, Polygon has emerged as a leading multi-chain scaling solution for blockchain networks compatible with Ethereum. It strives to offer a means for building a more interconnected and scalable decentralized web.

Foundations and Evolution

Initially introduced as Matic Network, Polygon evolved into a broader multi-chain ecosystem to tackle Ethereum's scalability problems and functionality challenges. Polygon's creators saw the need for a Layer 2 solution that surpassed a singular method and chose to develop a more inclusive framework.

Technical Perspectives

Employing a mixed Proof-of-Stake (PoS) and Plasma framework, Polygon enables quicker, low-cost transactions. Its sidechains function concurrently with the Ethereum main chain, easing transaction volume and facilitating faster confirmations.

Moreover, Polygon's architecture is crafted to accommodate multiple Layer 2 solutions, guaranteeing adaptability and extensive applicability for diverse use cases.

Implementation and Use Cases

With its powerful scaling solution and conformity with Ethereum's tools and infrastructure, Polygon has drawn an extensive variety of decentralized projects – ranging from DeFi platforms to game applications and NFT marketplaces. Its versatility has made it popular among those seeking scalability without sacrificing security or decentralization.

Arbitrum vs. Polygon

To compare Arbitrum and Polygon accurately, it is vital to comprehend the subtleties that set these Layer 2 powerhouses apart.

Technical Approaches and Mechanisms

Arbitrum utilizes Optimistic Rollups to primarily bundle multiple off-chain transactions before submitting them onto the chain as one unit. Transactions are assumed valid by default, with on-chain verification needed only if conflicts arise.

In contrast, Polygon implements sidechains that function in tandem with Ethereum's main chain employing a combination of PoS and Plasma to enable speedy transactions at reduced cost. Its structure is created to incorporate numerous Layer 2 solutions, supplying a wider array of tools and techniques.

Adoption and Ecosystem

Despite both platforms witnessing significant adoption, they serve slightly diverse users. Arbitrum attracts projects seeking uncomplicated integration while maintaining a strong connection with Ethereum, primarily reaping the benefits of reduced fees and heightened throughput.

On the other hand, Polygon delivers a more all-encompassing multi-chain environment, appealing to projects that seek an extensive toolset, increased flexibility, and a broad vision of interconnected chains.

Expenses and Fees

Both solutions strive to substantially lower Ethereum transaction costs. That said, specific fee structures may differ based on transaction volume, network congestion, and other factors. Generally, both Arbitrum and Polygon offer substantially lower transaction fees compared to Ethereum Layer 1.

Compatibility and Interoperability

Both Arbitrum and Polygon emphasize Ethereum compatibility, assuring projects can effortlessly migrate or incorporate without significant restructuring. However, Polygon's wider objective of crafting an interconnected multi-chain ecosystem presents a unique aspect of interoperability, aiming to merge various Layer 2 solutions into an integrated network.

Conclusion

Choosing between these solutions is not a matter of which is objectively superior, but rather which aligns more closely with a project's unique needs and goals. Some may favor Arbitrum's streamlined integration with Ethereum, while others might lean towards Polygon's expansive toolkit and vision.

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Aethir Tokenomics – Case Study

Kajetan Olas

22 Nov 2024
Aethir Tokenomics – Case Study

Authors of the contents are not affiliated to the reviewed project in any way and none of the information presented should be taken as financial advice.

In this article we analyze tokenomics of Aethir - a project providing on-demand cloud compute resources for the AI, Gaming, and virtualized compute sectors.
Aethir aims to aggregate enterprise-grade GPUs from multiple providers into a DePIN (Decentralized Physical Infrastructure Network). Its competitive edge comes from utlizing the GPUs for very specific use-cases, such as low-latency rendering for online games.
Due to decentralized nature of its infrastructure Aethir can meet the demands of online-gaming in any region. This is especially important for some gamer-abundant regions in Asia with underdeveloped cloud infrastructure that causes high latency ("lags").
We will analyze Aethir's tokenomics, give our opinion on what was done well, and provide specific recommendations on how to improve it.

Evaluation Summary

Aethir Tokenomics Structure

The total supply of ATH tokens is capped at 42 billion ATH. This fixed cap provides a predictable supply environment, and the complete emissions schedule is listed here. As of November 2024 there are approximately 5.2 Billion ATH in circulation. In a year from now (November 2025), the circulating supply will almost triple, and will amount to approximately 15 Billion ATH. By November 2028, today's circulating supply will be diluted by around 86%.

From an investor standpoint the rational decision would be to stake their tokens and hope for rewards that will balance the inflation. Currently the estimated APR for 3-year staking is 195% and for 4-year staking APR is 261%. The rewards are paid out weekly. Furthermore, stakers can expect to get additional rewards from partnered AI projects.

Staking Incentives

Rewards are calculated based on the staking duration and staked amount. These factors are equally important and they linearly influence weekly rewards. This means that someone who stakes 100 ATH for 2 weeks will have the same weekly rewards as someone who stakes 200 ATH for 1 week. This mechanism greatly emphasizes long-term holding. That's because holding a token makes sense only if you go for long-term staking. E.g. a whale staking $200k with 1 week lockup. will have the same weekly rewards as person staking $1k with 4 year lockup. Furthermore the ATH staking rewards are fixed and divided among stakers. Therefore Increase of user base is likely to come with decrease in rewards.
We believe the main weak-point of Aethirs staking is the lack of equivalency between rewards paid out to the users and value generated for the protocol as a result of staking.

Token Distribution

The token distribution of $ATH is well designed and comes with long vesting time-frames. 18-month cliff and 36-moths subsequent linear vesting is applied to team's allocation. This is higher than industry standard and is a sign of long-term commitment.

  • Checkers and Compute Providers: 50%
  • Ecosystem: 15%
  • Team: 12.5%
  • Investors: 11.5%
  • Airdrop: 6%
  • Advisors: 5%

Aethir's airdrop is divided into 3 phases to ensure that only loyal users get rewarded. This mechanism is very-well thought and we rate it highly. It fosters high community engagement within the first months of the project and sets the ground for potentially giving more-control to the DAO.

Governance and Community-Led Development

Aethir’s governance model promotes community-led decision-making in a very practical way. Instead of rushing with creation of a DAO for PR and marketing purposes Aethir is trying to make it the right way. They support projects building on their infrastructure and regularly share updates with their community in the most professional manner.

We believe Aethir would benefit from implementing reputation boosted voting. An example of such system is described here. The core assumption is to abandon the simplistic: 1 token = 1 vote and go towards: Votes = tokens * reputation_based_multiplication_factor.

In the attached example, reputation_based_multiplication_factor rises exponentially with the number of standard deviations above norm, with regard to user's rating. For compute compute providers at Aethir, user's rating could be replaced by provider's uptime.

Perspectives for the future

While it's important to analyze aspects such as supply-side tokenomics, or governance, we must keep in mind that 95% of project's success depends on demand-side. In this regard the outlook for Aethir may be very bright. The project declares $36M annual reccuring revenue. Revenue like this is very rare in the web3 space. Many projects are not able to generate any revenue after succesfull ICO event, due to lack fo product-market-fit.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

Quadratic Voting in Web3

Kajetan Olas

04 Dec 2024
Quadratic Voting in Web3

Decentralized systems are reshaping how we interact, conduct transactions, and govern online communities. As Web3 continues to advance, the necessity for effective and fair voting mechanisms becomes apparent. Traditional voting systems, such as the one-token-one-vote model, often fall short in capturing the intensity of individual preferences, which can result in centralization. Quadratic Voting (QV) addresses this challenge by enabling individuals to express not only their choices but also the strength of their preferences.

In QV, voters are allocated a budget of credits that they can spend to cast votes on various issues. The cost of casting multiple votes on a single issue increases quadratically, meaning that each additional vote costs more than the last. This system allows for a more precise expression of preferences, as individuals can invest more heavily in issues they care deeply about while conserving credits on matters of lesser importance.

Understanding Quadratic Voting

Quadratic Voting (QV) is a voting system designed to capture not only the choices of individuals but also the strength of their preferences. In most DAO voting mechanisms, each person typically has one vote per token, which limits the ability to express how strongly they feel about a particular matter. Furthermore, QV limits the power of whales and founding team who typically have large token allocations. These problems are adressed by making the cost of each additional vote increase quadratically.

In QV, each voter is given a budget of credits or tokens that they can spend to cast votes on various issues. The key principle is that the cost to cast n votes on a single issue is proportional to the square of n. This quadratic cost function ensures that while voters can express stronger preferences, doing so requires a disproportionately higher expenditure of their voting credits. This mechanism discourages voters from concentrating all their influence on a single issue unless they feel very strongly about it. In the context of DAOs, it means that large holders will have a hard-time pushing through with a proposal if they'll try to do it on their own.

Practical Example

Consider a voter who has been allocated 25 voting credits to spend on several proposals. The voter has varying degrees of interest in three proposals: Proposal A, Proposal B, and Proposal C.

  • Proposal A: High interest.
  • Proposal B: Moderate interest.
  • Proposal C: Low interest.

The voter might allocate their credits as follows:

Proposal A:

  • Votes cast: 3
  • Cost: 9 delegated tokens

Proposal B:

  • Votes cast: 2
  • Cost: 4 delegated tokens

Proposal C:

  • Votes cast: 1
  • Cost: 1 delegated token

Total delegated tokens: 14
Remaining tokens: 11

With the remaining tokens, the voter can choose to allocate additional votes to the proposals based on their preferences or save for future proposals. If they feel particularly strong about Proposal A, they might decide to cast one more vote:

Additional vote on Proposal A:

  • New total votes: 4
  • New cost: 16 delegated tokens
  • Additional cost: 16−9 = 7 delegated tokens

Updated total delegated tokens: 14+7 = 21

Updated remaining tokens: 25−21 = 425 - 21 = 4

This additional vote on Proposal A costs 7 credits, significantly more than the previous vote, illustrating how the quadratic cost discourages excessive influence on a single issue without strong conviction.

Benefits of Implementing Quadratic Voting

Key Characteristics of the Quadratic Cost Function

  • Marginal Cost Increases Linearly: The marginal cost of each additional vote increases linearly. The cost difference between casting n and n−1 votes is 2n−1.
  • Total Cost Increases Quadratically: The total cost to cast multiple votes rises steeply, discouraging voters from concentrating too many votes on a single issue without significant reason.
  • Promotes Egalitarian Voting: Small voters are encouraged to participate, because relatively they have a much higher impact.

Advantages Over Traditional Voting Systems

Quadratic Voting offers several benefits compared to traditional one-person-one-vote systems:

  • Captures Preference Intensity: By allowing voters to express how strongly they feel about an issue, QV leads to outcomes that better reflect the collective welfare.
  • Reduces Majority Domination: The quadratic cost makes it costly for majority groups to overpower minority interests on every issue.
  • Encourages Honest Voting: Voters are incentivized to allocate votes in proportion to their true preferences, reducing manipulation.

By understanding the foundation of Quadratic Voting, stakeholders in Web3 communities can appreciate how this system supports more representative governance.

Conclusion

Quadratic voting is a novel voting system that may be used within DAOs to foster decentralization. The key idea is to make the cost of voting on a certain issue increase quadratically. The leading player that makes use of this mechanism is Optimism. If you're pondering about the design of your DAO, we highly recommend taking a look at their research on quadratic funding.

If you're looking to create a robust governance model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure that your DAO will stand out as a beacon of innovation and resilience in the long term.