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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Token Engineering Process

Kajetan Olas

13 Apr 2024
Token Engineering Process

Token Engineering is an emerging field that addresses the systematic design and engineering of blockchain-based tokens. It applies rigorous mathematical methods from the Complex Systems Engineering discipline to tokenomics design.

In this article, we will walk through the Token Engineering Process and break it down into three key stages. Discovery Phase, Design Phase, and Deployment Phase.

Discovery Phase of Token Engineering Process

The first stage of the token engineering process is the Discovery Phase. It focuses on constructing high-level business plans, defining objectives, and identifying problems to be solved. That phase is also the time when token engineers first define key stakeholders in the project.

Defining the Problem

This may seem counterintuitive. Why would we start with the problem when designing tokenomics? Shouldn’t we start with more down-to-earth matters like token supply? The answer is No. Tokens are a medium for creating and exchanging value within a project’s ecosystem. Since crypto projects draw their value from solving problems that can’t be solved through TradFi mechanisms, their tokenomics should reflect that. 

The industry standard, developed by McKinsey & Co. and adapted to token engineering purposes by Outlier Ventures, is structuring the problem through a logic tree, following MECE.
MECE stands for Mutually Exclusive, Collectively Exhaustive. Mutually Exclusive means that problems in the tree should not overlap. Collectively Exhaustive means that the tree should cover all issues.

In practice, the “Problem” should be replaced by a whole problem statement worksheet. The same will hold for some of the boxes.
A commonly used tool for designing these kinds of diagrams is the Miro whiteboard.

Identifying Stakeholders and Value Flows in Token Engineering

This part is about identifying all relevant actors in the ecosystem and how value flows between them. To illustrate what we mean let’s consider an example of NFT marketplace. In its case, relevant actors might be sellers, buyers, NFT creators, and a marketplace owner. Possible value flow when conducting a transaction might be: buyer gets rid of his tokens, seller gets some of them, marketplace owner gets some of them as fees, and NFT creators get some of them as royalties.

Incentive Mechanisms Canvas

The last part of what we consider to be in the Discovery Phase is filling the Incentive Mechanisms Canvas. After successfully identifying value flows in the previous stage, token engineers search for frictions to desired behaviors and point out the undesired behaviors. For example, friction to activity on an NFT marketplace might be respecting royalty fees by marketplace owners since it reduces value flowing to the seller.

source: https://www.canva.com/design/DAFDTNKsIJs/8Ky9EoJJI7p98qKLIu2XNw/view#7

Design Phase of Token Engineering Process

The second stage of the Token Engineering Process is the Design Phase in which you make use of high-level descriptions from the previous step to come up with a specific design of the project. This will include everything that can be usually found in crypto whitepapers (e.g. governance mechanisms, incentive mechanisms, token supply, etc). After finishing the design, token engineers should represent the whole value flow and transactional logic on detailed visual diagrams. These diagrams will be a basis for creating mathematical models in the Deployment Phase. 

Token Engineering Artonomous Design Diagram
Artonomous design diagram, source: Artonomous GitHub

Objective Function

Every crypto project has some objective. The objective can consist of many goals, such as decentralization or token price. The objective function is a mathematical function assigning weights to different factors that influence the main objective in the order of their importance. This function will be a reference for machine learning algorithms in the next steps. They will try to find quantitative parameters (e.g. network fees) that maximize the output of this function.
Modified Metcalfe’s Law can serve as an inspiration during that step. It’s a framework for valuing crypto projects, but we believe that after adjustments it can also be used in this context.

Deployment Phase of Token Engineering Process

The Deployment Phase is final, but also the most demanding step in the process. It involves the implementation of machine learning algorithms that test our assumptions and optimize quantitative parameters. Token Engineering draws from Nassim Taleb’s concept of Antifragility and extensively uses feedback loops to make a system that gains from arising shocks.

Agent-based Modelling 

In agent-based modeling, we describe a set of behaviors and goals displayed by each agent participating in the system (this is why previous steps focused so much on describing stakeholders). Each agent is controlled by an autonomous AI and continuously optimizes his strategy. He learns from his experience and can mimic the behavior of other agents if he finds it effective (Reinforced Learning). This approach allows for mimicking real users, who adapt their strategies with time. An example adaptive agent would be a cryptocurrency trader, who changes his trading strategy in response to experiencing a loss of money.

Monte Carlo Simulations

Token Engineers use the Monte Carlo method to simulate the consequences of various possible interactions while taking into account the probability of their occurrence. By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks.

Testnet Deployment

If possible, it's highly beneficial for projects to extend the testing phase even further by letting real users use the network. Idea is the same as in agent-based testing - continuous optimization based on provided metrics. Furthermore, in case the project considers airdropping its tokens, giving them to early users is a great strategy. Even though part of the activity will be disingenuine and airdrop-oriented, such strategy still works better than most.

Time Duration

Token engineering process may take from as little as 2 weeks to as much as 5 months. It depends on the project category (Layer 1 protocol will require more time, than a simple DApp), and security requirements. For example, a bank issuing its digital token will have a very low risk tolerance.

Required Skills for Token Engineering

Token engineering is a multidisciplinary field and requires a great amount of specialized knowledge. Key knowledge areas are:

  • Systems Engineering
  • Machine Learning
  • Market Research
  • Capital Markets
  • Current trends in Web3
  • Blockchain Engineering
  • Statistics

Summary

The token engineering process consists of 3 steps: Discovery Phase, Design Phase, and Deployment Phase. It’s utilized mostly by established blockchain projects, and financial institutions like the International Monetary Fund. Even though it’s a very resource-consuming process, we believe it’s worth it. Projects that went through scrupulous design and testing before launch are much more likely to receive VC funding and be in the 10% of crypto projects that survive the bear market. Going through that process also has a symbolic meaning - it shows that the project is long-term oriented.

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.

FAQ

What does token engineering process look like?

  • Token engineering process is conducted in a 3-step methodical fashion. This includes Discovery Phase, Design Phase, and Deployment Phase. Each of these stages should be tailored to the specific needs of a project.

Is token engineering meant only for big projects?

  • We recommend that even small projects go through a simplified design and optimization process. This increases community's trust and makes sure that the tokenomics doesn't have any obvious flaws.

How long does the token engineering process take?

  • It depends on the project and may range from 2 weeks to 5 months.

What is Berachain? 🐻 ⛓️ + Proof-of-Liquidity Explained

Karolina

18 Mar 2024
What is Berachain? 🐻 ⛓️ + Proof-of-Liquidity Explained

Enter Berachain: a high-performance, EVM-compatible blockchain that is set to redefine the landscape of decentralized applications (dApps) and blockchain services. Built on the innovative Proof-of-Liquidity consensus and leveraging the robust Polaris framework alongside the CometBFT consensus engine, Berachain is poised to offer an unprecedented blend of efficiency, security, and user-centric benefits. Let's dive into what makes it a groundbreaking development in the blockchain ecosystem.

What is Berachain?

Overview

Berachain is an EVM-compatible Layer 1 (L1) blockchain that stands out through its adoption of the Proof-of-Liquidity (PoL) consensus mechanism. Designed to address the critical challenges faced by decentralized networks. It introduces a cutting-edge approach to blockchain governance and operations.

Key Features

  • High-performance Capabilities. Berachain is engineered for speed and scalability, catering to the growing demand for efficient blockchain solutions.
  • EVM Compatibility. It supports all Ethereum tooling, operations, and smart contract languages, making it a seamless transition for developers and projects from the Ethereum ecosystem.
  • Proof-of-Liquidity.This novel consensus mechanism focuses on building liquidity, decentralizing stake, and aligning the interests of validators and protocol developers.

MUST READ: Docs

EVM-Compatible vs EVM-Equivalent

EVM-Compatible

EVM compatibility means a blockchain can interact with Ethereum's ecosystem to some extent. It can interact supporting its smart contracts and tools but not replicating the entire EVM environment.

EVM-Equivalent

An EVM-equivalent blockchain, on the other hand, aims to fully replicate Ethereum's environment. It ensures complete compatibility and a smooth transition for developers and users alike.

Berachain's Position

Berachain can be considered an "EVM-equivalent-plus" blockchain. It supports all Ethereum operations, tooling, and additional functionalities that optimize for its unique Proof-of-Liquidity and abstracted use cases.

Berachain Modular First Approach

At the heart of Berachain's development philosophy is the Polaris EVM framework. It's a testament to the blockchain's commitment to modularity and flexibility. This approach allows for the easy separation of the EVM runtime layer, ensuring that Berachain can adapt and evolve without compromising on performance or security.

Proof Of Liquidity Overview

High-Level Model Objectives

  • Systemically Build Liquidity. By enhancing trading efficiency, price stability, and network growth, Berachain aims to foster a thriving ecosystem of decentralized applications.
  • Solve Stake Centralization. The PoL consensus works to distribute stake more evenly across the network, preventing monopolization and ensuring a decentralized, secure blockchain.
  • Align Protocols and Validators. Berachain encourages a symbiotic relationship between validators and the broader protocol ecosystem.

Proof-of-Liquidity vs Proof-of-Stake

Unlike traditional Proof of Stake (PoS), which often leads to stake centralization and reduced liquidity, Proof of Liquidity (PoL) introduces mechanisms to incentivize liquidity provision and ensure a fairer, more decentralized network. Berachain separates the governance token (BGT) from the chain's gas token (BERA) and incentives liquidity through BEX pools. Berachain's PoL aims to overcome the limitations of PoS, fostering a more secure and user-centric blockchain.

Berachain EVM and Modular Approach

Polaris EVM

Polaris EVM is the cornerstone of Berachain's EVM compatibility, offering developers an enhanced environment for smart contract execution that includes stateful precompiles and custom modules. This framework ensures that Berachain not only meets but exceeds the capabilities of the traditional Ethereum Virtual Machine.

CometBFT

The CometBFT consensus engine underpins Berachain's network, providing a secure and efficient mechanism for transaction verification and block production. By leveraging the principles of Byzantine fault tolerance (BFT), CometBFT ensures the integrity and resilience of the Berachain blockchain.

Conclusion

Berachain represents a significant leap forward in blockchain technology, combining the best of Ethereum's ecosystem with innovative consensus mechanisms and a modular development approach. As the blockchain landscape continues to evolve, Berachain stands out as a promising platform for developers, users, and validators alike, offering a scalable, efficient, and inclusive environment for decentralized applications and services.

Resources

For those interested in exploring further, a wealth of resources is available, including the Berachain documentation, GitHub repository, and community forums. It offers a compelling vision for the future of blockchain technology, marked by efficiency, security, and community-driven innovation.

FAQ

How is Berachain different?

  • It integrates Proof-of-Liquidity to address stake centralization and enhance liquidity, setting it apart from other blockchains.

Is Berachain EVM-compatible?

  • Yes, it supports Ethereum's tooling and smart contract languages, facilitating easy migration of dApps.

Can it handle high transaction volumes?

  • Yes, thanks to the Polaris framework and CometBFT consensus engine, it's built for scalability and high throughput.