3 post-COVID-19 fintech trends you should know about

Iwo Hachulski

29 Jun 2020
3 post-COVID-19 fintech trends you should know about

It is no doubt that fintech has been gradually implementing successive stages of the revolution in the banking services sector. The main beneficiaries of this state of affairs are, apart from fintech itself, consumers. Traditional banking adopts various strategies regarding the existing status quo, some banks, including Santander, are constantly investing heavily in the most promising fintech startups in order to then implement their solutions for their customers. Others - try to create their own unique products, which are then implemented by other players in the market. One of the best examples here is Bank PKO BP and the contactless payment system BLIK developed by the bank's IT department. The constantly ongoing time of the epidemic has changed many behaviors and habits. What mark has COVID-19 left on the modern financial services sector, a popular fintech? What prospects should we expect from a full opening of economies in a global context?

Extraordinary times require extraordinary solutions

Revaluation of priorities - this is probably the simplest and most rational way to describe the changes introduced by the coronavirus in our lives. Sanitary restrictions have forced the financial sector, like many others, to a new opening - and a look into the future from a completely different perspective. The need for full mobility introduced along with the full compatibility of the solutions used became, within a few weeks, a determinant of the effectiveness of the adaptation of both traditional banking and the fintech giants. 

However, it would be unfair to put them next to each other in this context - mainly due to the fact that it was not so much an unimaginable challenge for fintech to move almost 100 percent of their business into the digital world. This state of affairs is primarily due to the fact that the vast majority (and very often 100%) of fintech services offered within the framework of retail banking, for example, are available only online. The vast majority of them have decided on such a business model from the very beginning - on the one hand, they have focused on reducing the costs of running branches together with minimizing fixed costs and, as a result, full mobility, and on the other hand, they have often closed themselves off to clients currently almost exclusively connected with traditional banking. However, such a strategy has brought the expected results. Fintechs, although also often forced to make cuts - among others, Revolut announced the introduction of restrictions in the cheapest plan offered to customers and numerous layoffs in the Polish branch of the company - usually did not have to face the complicated task of transferring several thousand employees into remote operation almost overnight. Thus, they were able to focus on introducing specific solutions offered to their clients instead of dealing with their internal problems in the first place. For example, Starling Bank launched the "combined card" function, which enables the transfer of a second, "back-up" debit card linked to the customer's account to someone who can spend on their behalf. A team of developers from Fronted, Credit Kudos and 11:FS created Covid Credit for the self-employed, allowing access to financial aid for the most vulnerable people who are not covered by government support. A significant role is also slowly being played by fintech software houses, which offer IT services using the latest Fintech solutions such as Blockchain or AI.

Mobility and security above all

Due to health restrictions and recommendations, the volume of both card and phone payments increased slightly, for instance, in India it was about 5%. According to many experts in banking and social psychology, such a trend may last longer. According to the Mordor Intelligence report "Mobile Payments Market - Growth, Trends, and Forecast" (2020-2025) The use of m-payments will continue to grow strongly with an annual cumulative growth rate of as much as 26.93%. In Central Europe, this is mainly due to the still very young banking system, often developed from scratch only in the 1990s. For this reason, many behaviors are not so deeply rooted in society, which is thus much more susceptible to all kinds of innovation.

Another element that is hard not to mention is budgeting apps, i.e. applications for planning and controlling the budget. Although their popularity in Poland and other Central European countries is not as impressive as in the United States, this may gradually change due to the inevitable economic crisis caused by the coronavirus pandemic. Full control over one's own budget due to the difficult social and economic situation will undoubtedly become one of the priorities - thus bringing the possibility of a structured review of one's own spending to the fore. The applications differ in many ways, so that everyone can find something for themselves. Mint automatically categorizes transactions from credit and debit cards connected to the system and tracks them against a budget that can be adjusted and adapted to user's needs. Goodbudget, on the other hand, is mainly dedicated to couples - it is possible to share and fully synchronize the budget with another person in both iOS and Android.

Tandem and natural competition

Despite all the turmoil, the post-pandemic outlook for the coming months seems stable, although not as promising as previously expected. According to Ron Shevlin, Managing Director of Fintech Research at Cornerstone Advisors, the era of fintech experimentation is slowly coming to an end. The indicators that will gain in importance are primarily the number of accounts funded and their percentage in relation to the total number of application downloads. In his opinion, in the case of mainly B2B-oriented fintechs, the crucial benchmarks will be more operational, such as improved speed, cycle time and lower costs.

Moreover, there is a large disparity within the banking sector environment itself. There is continued optimism among the largest fintechs. By February 2020, Revolut already had less than 11 million users. According to the owners' forecasts, the number of users is expected to reach 13.07 million by the end of June, and then increase by about 20%, to reach 16.45 million by December 2020. The second largest player, N26, has already exceeded 5 million users in January, thus maintaining almost exponential growth and significantly exceeding the company's forecasts.

The situation is different for traditional banks, whose financial situation has often deteriorated. According to analyses of the International Monetary Fund, in addition to the immediate challenges posed by the COVID-19 outbreak, the relentless period of low interest rates may put further pressure on bank profitability in the forthcoming years. This may be a cause for concern, mainly due to the fact that it is the constant development of both traditional and modern banking that may be the key to recover from the crisis. A unique banking tandem also guarantees a greater choice of available services for the customer, and thus more competition and increased innovation in the fight for each costumer. 

What is more, smaller fintechs also face considerable problems. According to the latest CB Insights report, the value of contracts signed by fintech in Q1 2020 decreased by as much as 35% compared to Q4 2019. Better-invested and profitable fintechs are in a much better position, especially in the context of depletion of investment funds and hence increased competition in the fight for any funds for further development. The problems of some may paradoxically become a pain for others, thus worsening the situation of the sector and, consequently, often of the entire economy. 

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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.