Connect with us

Technology

Why Are There No New Users in the Crypto Market? How Multi-Asset Trading Wallet BiyaPay Is Finding New Solutions Amidst Fierce Competition and User Confusion ？

Published

1 year ago

on

SINGAPORE, March 31, 2025 /CNW/ —

Introduction 

In recent years, the cryptocurrency market has undergone a dramatic shift from euphoria to calm. At one point, Bitcoin and Ethereum prices hit new highs, and concepts like NFTs and the Metaverse rapidly gained traction, attracting a flood of new users. However, as the market cooled down, the growth of new users slowed significantly, even showing signs of stagnation. This phenomenon has caused concern within the industry: why is the crypto market struggling to attract new participants? Despite continuous technological innovation and an abundance of new projects, public interest has not kept pace. The challenges faced by the crypto market are rooted in increasing competition and a more complex ecosystem, which has left new users confused. This article will explore why the crypto market is experiencing a lack of significant new user growth and discuss how, in the midst of intense competition and user confusion, companies like BiyaPay, a leading multi-asset trading wallet, are finding new ways to drive growth in the crypto industry.

Market Situation Analysis

The competition in the crypto market has intensified, and the ecosystem has become increasingly saturated. From public chains to sidechains, to Layer 2 networks and various decentralized applications (dApps), the number of projects has exploded. According to statistics, over 350 active blockchain networks exist worldwide, and the number of new tokens issued each day reaches tens of thousands. The fragmentation of the market has intensified, and users are now faced with an overwhelming number of choices. However, despite the continuous increase in projects, user growth has not followed suit. Indicators like Total Value Locked (TVL) show that the current cycle has not surpassed previous market highs. The decline in search interest for the term “crypto” on Google Trends also reflects the cyclical decrease in public interest. For beginners, entering the crypto world is far from simple: hundreds of blockchains, wallets, and various protocols and applications make the decision process overwhelming, and the sheer number of options raises the cognitive and usability barriers.

The stagnation in new user growth is driven by multiple factors. First, the user experience of crypto products is significantly more complex than that of traditional internet applications. New users must not only install digital wallets, back up recovery phrases, purchase digital currencies, and pay miner fees but also switch between different blockchain networks, which is particularly daunting for those with no prior exposure to crypto technology. Second, market fragmentation is severe. The ecosystems of various public chains are isolated, making asset interoperability a challenge. This means users need to switch between platforms, for example, dApps on Ethereum have high transaction fees, and users seeking cheaper alternatives often have to learn new wallets and operational logic. The lack of unified standards and interoperability creates friction in user experiences. Lastly, information overload exacerbates user confusion. With thousands of token projects, new users often struggle to distinguish valuable projects from fraudulent ones. The complexity of the experience and the overload of information discourage potential users from entering the market.

Beyond the complexity of the user experience, external factors also contribute to the hesitation of new users entering the crypto market. One significant challenge is regulatory uncertainty. Different countries have vastly differing attitudes toward cryptocurrencies, and their regulations are subject to frequent changes. Some countries have welcomed crypto innovation only to suddenly impose strict regulations, while others have yet to define clear regulations. This uncertainty makes it difficult for crypto companies to operate compliantly, and users feel uneasy about investing in crypto due to the risk of sudden regulatory crackdowns. Another challenge is the frequent occurrence of security incidents, which has damaged the public image of the industry. Events such as exchange bankruptcies, project founders running off with funds, and hacking incidents have shaken user confidence in the safety of crypto platforms. The media’s coverage of crypto scams, money laundering, and other criminal activities has further exacerbated the industry’s reputation crisis. These events make ordinary users wary of entering the crypto space, as they fear losing their funds or getting caught up in illegal activities. Trust issues have become the most significant psychological barrier preventing new users from entering the market.

Core Barriers to User Growth

The target audience for the crypto industry is not homogeneous but highly diversified. Developers, ordinary users, investors, and institutions all have different needs, contributing to the fragmentation of the market. For example, public chain projects primarily target developers, as only developers can build applications that attract end users and grow the ecosystem. Therefore, public chains need to focus on “developer marketing” and technical documentation to encourage developers to adopt their chains. However, these efforts may not directly translate into growth for the average user base. For dApp applications, which should ideally focus on end users, many instead focus on attracting token holders and speculative funds. Sometimes token holders are not actual users of the product but engage in speculative arbitrage, which does not contribute to real user growth. Venture capitalists and institutional investors are primarily focused on return on investment (ROI), and they invest in projects with the expectation that token prices will appreciate. This often leads projects to prioritize token price management and exchange partnerships over improving the product’s appeal to everyday users. Meanwhile, retail speculators are more concerned with short-term price fluctuations and lack patience for long-term value, which makes it difficult to cultivate a loyal user base. Technical partners, such as cross-chain bridges and wallet plugins, form another isolated group. The diverse interests of these stakeholders contribute to the fragmentation of the market, making it harder to target and grow a unified user base.

The high technical complexity of crypto technology is another significant barrier to user adoption. Many ordinary people have heard of Bitcoin but find it difficult to understand blockchain principles, private key signing, or how to manage a string of characters on their own. The high technical threshold leads to mistakes or discomfort when users first experience the technology. For example, a user might accidentally enter the wrong address during a transaction, resulting in the loss of their assets. The high transaction fees, especially during Ethereum‘s peak, also discourage small investors and beginners from participating in the market. These issues highlight that blockchain infrastructure is still far from being ready for large-scale commercial adoption. At the same time, the lack of trust has worsened the problem. The 2021 bull market attracted a wave of mainstream users, especially with celebrities endorsing NFTs, but many new users withdrew after the market crash in 2022. Exchange collapses and project failures have left people with negative perceptions of the industry. When the media frequently reports on Bitcoin‘s “death” or the collapse of major crypto projects, it reinforces this negative view. Therefore, when technical complexity and trust issues are combined, convincing new users to enter the market becomes an uphill battle. They are either discouraged by the high barriers to entry or deterred by security concerns.

The high cost and complex entry process are additional hurdles for new users. For many newcomers, buying cryptocurrencies is already a significant barrier. Fiat-to-crypto channels are limited, and transaction fees can be high. Through third-party payment methods, users might face additional fees of 2-5%, discouraging small-scale users. Additionally, the volatility of crypto asset prices often causes new users to fear that they will “get stuck” as soon as they enter the market, adding to the psychological cost. Transaction costs are also significant, including high fees for blockchain Gas and additional charges for withdrawal and exchange transactions. Furthermore, the onboarding process is complex. Traditional financial account opening may only require identification documents, but in the crypto world, new users often face multiple steps: registering on exchanges, completing KYC (Know Your Customer) verification, linking bank accounts or wallets, depositing fiat currency to purchase USDT or BTC, and finally transferring funds to personal wallets. This process involves several platforms, and each step introduces new concepts (KYC, wallet addresses, private keys) that users need to understand. Some users may abandon the process midway or fall victim to phishing sites that steal recovery phrases. In comparison, Web2 applications have far simpler onboarding processes. The cumbersome entry process further reduces the attractiveness of crypto products to new users.

Where Is the Breakthrough?

To overcome these barriers, the crypto industry must focus on lowering entry barriers, building trust, and enhancing practical functionality. One company leading the way in this regard is BiyaPay, a global multi-asset trading wallet that offers potential solutions through its product features and service model.

BiyaPay’s standout feature is its multi-asset trading function, which allows users to manage various financial assets, including digital currencies, U.S. stocks, Hong Kong stocks, and more, all within a single platform. This “one-stop” design significantly reduces the entry barrier for new users. Firstly, new users no longer need to download multiple apps or switch between platforms. Traditionally, users needed to open a securities account to trade stocks and register with a crypto exchange for digital currencies. With BiyaPay, users can trade both stocks and crypto assets in one wallet, greatly simplifying the process. For traditional investors, they can now access digital currencies through a familiar stock trading platform, while crypto users can easily engage in traditional asset trading. Secondly, this multi-asset integration makes cross-market operations much more convenient. Users can exchange stablecoins for U.S. dollars and trade U.S. or Hong Kong stocks without the need for complex cross-border transfers or opening offshore accounts. BiyaPay supports converting USDT or other digital assets into fiat currencies and then using them to buy and sell U.S. or Hong Kong stocks, all without the hassle of opening offshore bank accounts. The platform allows for rapid account opening in just five minutes and seamless asset exchange, making global financial markets easily accessible. This simplified experience greatly reduces the psychological barriers for new users, making them more likely to engage with different features.

Another breakthrough offered by BiyaPay is its global payment and remittance services, which solve the difficulties associated with cross-border transactions. The platform supports real-time exchange and remittance for over twenty fiat currencies and more than ten major cryptocurrencies at very low costs. For example, a user working overseas can easily send funds to their family by exchanging digital assets into the local fiat currency on BiyaPay and transferring the funds to a recipient’s account. The low fees (around 0.5%) and the elimination of complex intermediary steps provide a significant advantage over traditional remittance services, which can take days to process and have high fees. This service meets real-world financial needs, attracting users who may not be interested in crypto technology itself but need a convenient cross-border payment solution. For instance, in countries experiencing high inflation, residents can use BiyaPay to convert their local currency into stablecoins for value preservation and then exchange them back into fiat currency when needed. This new use case for crypto is a major breakthrough for the industry, as it shifts the focus from speculative trading to practical financial solutions, making the crypto world more accessible.

BiyaPay also builds user trust by operating in a fully compliant and secure manner. It is headquartered in Singapore, with subsidiaries in the U.S., Canada, and Hong Kong, holding comprehensive financial licenses to ensure legal and compliant operations. BiyaPay emphasizes its “complete licensing, safe and reliable” credentials, which help build trust, especially during times of regulatory uncertainty. Users are more likely to trust a regulated platform with legitimate licenses rather than an anonymous underground exchange. In addition to regulatory compliance, BiyaPay also focuses on security, using bank-grade encryption and multi-factor authentication mechanisms to safeguard user assets and data. This focus on security and risk management ensures that users can make secure transactions without worrying about their funds being frozen or confiscated, a common concern among crypto users.

BiyaPay’s multi-asset strategy not only lowers entry barriers but also broadens its potential user base. By offering both traditional financial assets and cryptocurrencies on the same platform, BiyaPay appeals to a diverse range of investors. Traditional investors who are interested in global markets can use BiyaPay to access cryptocurrency markets easily, while crypto investors can use the platform to diversify their portfolios into traditional assets. This cross-pollination between the “stock” and “crypto” communities significantly expands BiyaPay’s user base.

Future Trends and Outlook

Looking ahead, the emergence of Web3 technologies offers new growth opportunities for the crypto market. Social finance, NFTs, and the Metaverse are emerging fields that could drive the next wave of user growth. BiyaPay can tap into these trends by supporting features such as NFT asset management and Metaverse payment solutions, which would cater to users’ needs in these new areas.

In addition to technological innovation, the crypto industry needs to invest in branding and user education to truly reach new audiences. Clear marketing messages and user education efforts can break down existing barriers to entry. By promoting simple, relatable messages such as “blockchain makes cross-border payments as easy as texting,” crypto platforms like BiyaPay can resonate with mainstream users and reduce the cognitive hurdles new users face.

Conclusion

The slowdown in new user growth in the crypto market is due to a combination of factors, including technological complexity, market fragmentation, and trust issues. However, by improving the user experience, strengthening compliance and security, and expanding practical use cases, the market can overcome these barriers. BiyaPay, as a leading multi-asset trading wallet, demonstrates a successful approach by offering integrated services, global payment solutions, and strong regulatory compliance. The future of the crypto industry looks promising, with the potential to attract new users through innovative products and improved user experiences.

About BiyaPay

BiyaPay is a global multi-asset trading wallet that supports instant exchange of more than 30 fiat currencies and more than 200 digital currencies, and provides USDT direct advertising US stocks, Hong Kong stocks and digital currency spot and contract trading services. Its compliance withdrawal channel and one-stop financial ecosystem are trusted by users around the world.

Learn more information

BiyaPay official website: www.biyapay.com 

Customer service email: service@biyapay.com 

Telegram supports: https://t.me/biyapay001 

View original content to download multimedia:https://www.prnewswire.com/news-releases/why-are-there-no-new-users-in-the-crypto-market-how-multi-asset-trading-wallet-biyapay-is-finding-new-solutions-amidst-fierce-competition-and-user-confusion–302415471.html

SOURCE BiyaPay

Related Topics:
Continue Reading

Technology

Realset AI and Flatkey Raise $10M Series A to Build Real-World Training Data for Frontier Models and Embodied Agents

Published

43 minutes ago

on

September 23, 2026

By

Real-world data lab captures expert human demonstrations, builds RL environments from real workflows and evaluates agents with domain experts; first open benchmark on household manipulation due Q4 2026

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Realset AI (https://realset.ai), a real-world data lab that produces training data for LLMs, frontier models and embodied agents, today announced that Realset AI and Flatkey have raised $10 million in Series A funding. The funding will expand Realset’s capture network of real workplaces and studio environments, grow its pool of expert demonstrators and domain experts, and support open benchmarks that measure whether AI policies work outside the lab.

Why It Matters: The Internet Is Exhausted, the Physical World Is Not

Frontier labs and robotics companies have largely consumed the text available on the internet. The next gains come from data about people doing real tasks in real places: how a worker folds laundry, loads a dishwasher, packs an order or handles a customer return. That data does not exist on the web, and simulation does not reproduce it.

Realset’s answer is that every dataset starts with a real person doing a real task in a real place. The company uses expert demonstrators rather than crowd annotators, real environments rather than simulation, and delivers de-identified data to US-hosted cloud buckets, with quality measured at every step of a single pipeline.

Three Ways to Produce Ground Truth

Realset Body: embodied data for physical policy models. Egocentric and third-person capture of skilled workers performing manipulation tasks in homes, kitchens, warehouses and light assembly lines, plus bimanual teleoperation episodes with synchronized stereo video, IMU and action logs. Delivered with dense action-level annotation optimized for vision-language-action (VLA) training.Realset Field: LLM and agent training data from RL environments built on real workflows. Environments that mirror e-commerce operations, customer support, logistics dispatch and manufacturing SOPs. Domain experts generate trajectories, preference pairs and rubrics inside the environment, with verifiable rewards from real business outcomes and bilingual English/Chinese expert pools.Realset Judge: expert evaluation for agents in production. Evaluation design, failure diagnosis and continuous monitoring by people who do the job the agent is replacing, with targeted fix-data for the top failure modes and re-scoring as models and prompts change. The same services are offered to data integration and AI solution companies that deploy agents for their own clients.

The Realset Workspace

All three run on the Realset Workspace, where domain experts in six languages (English, Simplified Chinese, Japanese, Korean, Spanish and Arabic) answer real tasks, attach evidence and screen recordings, and pass an independent quality review before a record is approved. Every approved record exports as JSONL with provenance that customers can verify.

Open Benchmarks on Real Tasks

Realset publishes open benchmarks so the field can measure what matters: whether a policy works outside the lab. The Realset Household Manipulation Bench evaluates open-source VLA policies including π0, OpenVLA, GR00T and Octo on folding, loading, sorting and wiping tasks captured in real kitchens and laundry rooms, scored by success rate over three trials per task, with results expected in Q4 2026. A Light Assembly Bench, scored by the line workers who trained on the tasks, and a Commerce Ops Agent Bench for computer-use agents on real e-commerce seller operations are planned.

“The easy data is gone. What is left is the physical world, and you cannot scrape it,” said Hunter Guo, founder of Realset AI. “You have to put a camera on a skilled person doing real work, structure what they did, and check it with people who know the job. That is a capture and quality problem, not a labeling problem, and it is the problem we are building a company around.”

About Realset AI

Realset AI is a real-world data lab and training data provider for LLMs and embodied AI. It captures expert human demonstrations, builds RL environments from real workflows and evaluates AI agents with domain experts, for frontier labs, robotics companies, and data integration and AI solution providers. Realset is headquartered in San Jose, California. Learn more at https://realset.ai 

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing
+1 424 356 6176
xingru@flatkey.ai
https://realset.ai 

View original content to download multimedia:https://www.prnewswire.com/news-releases/realset-ai-and-flatkey-raise-10m-series-a-to-build-real-world-training-data-for-frontier-models-and-embodied-agents-302887825.html

SOURCE Realset AI

Continue Reading

Technology

From Product Photos to Campaign Content: MakeShot on AI Video Efficiency for Small Teams

Published

43 minutes ago

on

September 23, 2026

By

Longer video generation and richer reference inputs give small businesses new ways to develop marketing content, with savings determined by the work required to reach a usable result.

SINGAPORE, Sept. 23, 2026 /PRNewswire/ — MakeShot sees the strongest opportunity for small-team video marketing in reducing the work between a creative brief and usable footage. Capabilities such as longer video generation and richer reference inputs can help teams spend less effort assembling clips and correcting mismatched results, giving limited production budgets more room for creative testing.

For small marketing teams, production costs extend beyond filming or generating a clip. Preparing assets, matching shots, reviewing outputs, and revising details all consume resources. As AI video capabilities develop, the opportunity is to reduce these demands while giving teams more room to explore creative ideas.

Industry research illustrates the distinction between production gains and marketing outcomes. In Content Marketing Institute and MarketingProfs’ 2026 B2B research, 87% of marketers using AI for content creation reported improved productivity, while 39% reported improved content performance. These findings cover broader content creation, suggesting that faster production still needs to be paired with clear creative objectives and audience testing.

Longer Sequences, Fewer Assembly Tasks

Seedance 2.5, available through MakeShot’s AI Video Generator, supports videos of up to 30 seconds in a single generation. For a small team, that creates room to develop a connected sequence encompassing a product introduction, a setting, and a closing composition.

A skincare brand, for example, could explore a sequence moving from a moisturizer close-up into a morning bathroom scene before returning to the product. Generating that sequence together may reduce the work involved in assembling separate clips and reconciling differences in lighting, motion, or visual style.

The benefit depends on the result. A longer sequence that requires repeated regeneration can consume additional time and credits. Teams therefore need to consider how much of the output is usable and how easily it can be refined.

Clearer References, More Focused Creative Direction

On MakeShot, Seedance 2.5 supports up to 30 reference images, 10 video clips, and 10 audio clips, allowing teams to combine product, scene, motion, and sound references in one generation request.

For businesses with established product photography and brand assets, these inputs can communicate details that are difficult to express through text alone. Product images can guide appearance, scene references can establish atmosphere, and video or audio references can convey movement and sound.

MakeShot’s view is that the value lies in selecting relevant materials and assigning them clear roles. A focused set of references can provide a stronger creative brief than a larger collection containing conflicting directions. This gives small teams a practical way to apply their existing assets while retaining responsibility for product accuracy and final presentation.

Total Production Effort as the Measure of Efficiency

“For a small team, the most useful advance is one that removes work between the creative brief and the finished video,” said Wynn, Marketing Manager at MakeShot. “Longer generation and clearer references matter when they help teams reach an approved result with fewer revisions.”

MakeShot recommends evaluating total production effort, including unsuccessful generations, selection time, and final editing. Cost per usable video and time to an approved version provide more meaningful measures than the price or speed of a single generation.

This approach also helps teams decide where AI fits best. Concept exploration, atmospheric product footage, and creative variations may benefit from generation, while demonstrations requiring precise evidence of product performance may still call for filmed material. Allocating resources according to the task gives small businesses a clearer basis for managing production budgets.

About MakeShot

MakeShot is an AI video and image generation platform that gives creators and businesses access to multiple generative models through a browser-based interface. Its AI video generator supports text- and reference-driven creation for social media content, marketing projects, and visual storytelling.

Media Contact:
Wynn
Marketing Manager
Email: support@makeshot.ai
Website: https://makeshot.ai/

View original content:https://www.prnewswire.com/news-releases/from-product-photos-to-campaign-content-makeshot-on-ai-video-efficiency-for-small-teams-302887829.html

SOURCE MakeShot

Continue Reading

Technology

Flatkey Raises $10M Series A After Surpassing 10,000 Developers in Two Months

Published

43 minutes ago

on

September 23, 2026

By

The platform replaces a growing stack of provider accounts, credits and keys with one key, one balance and one invoice, at 60–90% of official list prices

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Flatkey (https://flatkey.ai), the AI infrastructure platform that brings models, tools and data together behind one API key, today announced that Flatkey and Realset AI have raised $10 million in Series A funding. The company also said that more than 10,000 developers have adopted the platform in the two months since its July 2026 launch, using a single API key and a single balance to access more than 100 official AI models and more than 1,000 AI tools. The Series A funding will go toward adding more official models and tools to the platform and scaling the infrastructure that routes developer traffic to them.

Flatkey is built as production infrastructure for AI developers, not a convenience layer. Every call is routed to the provider’s official endpoint, and because Flatkey buys upstream capacity in volume, most models are priced at around 80% of the providers’ official list prices, with some at 60% or lower as part of ongoing promotions. Developers pay less than they would going direct, and they do it through one key and one balance across models and tools.

Why It Matters: Models, Tools and Data Are Becoming One Layer

AI is shifting from answering questions to completing work. The agents doing that work depend on three things: the models that reason, the tools that act, and the data they act on. Each of those is fragmenting into more providers every quarter, and every provider adds an account, a top-up, an API key, a rate limit and an invoice.

Flatkey’s bet is that these three converge into a single layer developers reach through one key. A production application today rarely depends on one model: it combines several models across text, image, audio and video and pairs them with tools such as search, browsing and data enrichment. A team using models from OpenAI, Anthropic, Google and DeepSeek, a video model such as Seedance, and a search and a browser tool would ordinarily manage seven or more provider relationships. With Flatkey that becomes one key, one balance and one invoice, and a new model or tool is a parameter change rather than a new vendor.

What Developers Get

More than 100 official models from OpenAI, Anthropic, Google, DeepSeek, Kimi, GLM and others, plus image and video models such as Seedance. Every call is routed to the provider’s official endpoint. Flatkey does not self-host modified or quantized versions and label them as the original model.More than 1,000 tools on the same balance: search, browsers, data enrichment, media generation and actions, with no separate billing setup per vendor.Simple pricing. Subscription plans start at $10 per month, and pay-as-you-go credits cover both models and tools on one balance.A one-line migration. Flatkey is a drop-in replacement for any OpenAI-compatible client: developers change the base URL and their existing code works.New models on release day. Flatkey adds new models through official channels as soon as they are released, so teams do not open a new provider account every time something new ships.

“AI development is becoming less about choosing one model and more about combining models, data and tools across text, image, audio and video,” said Hunter Guo, founder of Flatkey. “If developers can reach all of that through one key, the platform stops being a convenience layer and starts to look like infrastructure. That is the company we are building.”

Availability

Flatkey is available today at https://flatkey.ai. New users start with $1 in free credit and can continue with pay-as-you-go credits or a monthly plan.

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Headquartered in San Jose, California, Flatkey launched in July 2026. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing, Flatkey
+1 424 356 6176
xingru@flatkey.ai
https://flatkey.ai 

View original content to download multimedia:https://www.prnewswire.com/news-releases/flatkey-raises-10m-series-a-after-surpassing-10-000-developers-in-two-months-302887820.html

SOURCE Flatkey

Continue Reading

Trending