Market
Redefining Social Interaction with Meme Coins

Editorial Note: The following content does not reflect the views or opinions of BeInCrypto. It is provided for informational purposes only and should not be interpreted as financial advice. Please conduct your own research before making any investment decisions.
As crypto assets are gaining acceptance in the traditional financial industry, market dynamics are progressively shifting towards a more retail-oriented approach. Perhaps influenced by the GameStop incident, the meme coin sector has caught the attention of Gen Z, gradually transitioning from being considered alternative assets to essential components within the mainstream investment landscape.
According to CoinMarketCap, meme coins account for about 2% of the entire crypto market. The underlying reason for the meme craze is that institution-dominated value projects have become less attractive due to high valuations and the selling pressure from continuous unlocking, leading to decreased retail participation. As institutions and retail investors avoid buying from each other, meme projects have become the market’s focal point.
The key issue is the weakening wealth effect rather than a conflict between institutions and retail investors. The crucial problem is matching projects with users.
Match is a social platform based on AI and big data technology, aiming to establish an efficient value-based social network enabled by the wealth effect of meme coins. By constructing a sustainable value-based social ecosystem, Match deeply understands how to integrate user needs and economic mechanisms to promote both social interaction and economic returns. Match provides privacy-protected social functions and powerful AI capabilities, enabling users to securely manage their social data assets across various Web 3.0 applications, thereby achieving true value-based social networking.
The social networking market has always been in high growth, making it one of the most competitive fields. Recent data shows that there are 5.07 billion social media users globally, accounting for 62.6% of the world’s population. According to Ecwid, the number of social media users grew from 1.72 billion in 2013 to 4.76 billion in 2023, with a compound annual growth rate of 10.72%.
Despite its vast potential, the social networking market has high entry barriers. Walter Isaacson, a renowned author who has written biographies for Einstein, Jobs, and Kissinger, has a viewpoint on social networking: “Almost every digital tool, whether designed for it or not, was commandeered by humans for a social purpose”. But they must first be effective tools to create social opportunities. Therefore, recent social networking applications like Clubhouse and Damus quickly rose and fell due to the lack of unique tool attributes.
Match’s design is different from previous ones; it is a SocialFi application based on meme coins. Similar to social networking, meme culture is rooted in fundamental human needs. Any type of viral cultural transmission can form a meme culture. When meme culture combines with cryptocurrency, it creates meme coins.
Meme coins inherently have social spreading value. Match introduces new gameplay, creating strong community consensus through the resonance of Meme culture to drive ecosystem development. Match is about to issue its exclusive meme coin, RFG. RFG not only creates wealth effects but also attracts a large number of users, laying a solid foundation for social interaction on the platform. By leveraging its meme coin, RFG, Match will accumulate substantial user data, providing a solid foundation for subsequent AI analysis and social interaction.
In its development into an innovative value-based social ecosystem, Match follows four stages: Departure, Sailing, Breaking Waves, and Voyage. In the “Departure” stage, Match focuses on decentralized auction, social matching and mining, and the development of backend services. In the “Sailing” stage, Match enters a period of rapid expansion and application innovation. After launching basic functions, the platform promotes community building and promotional activities.
In the “Breaking Waves” stage, Match will further expand RFG’s application scenarios and deeply integrate AI technology into its infrastructure. RFG’s application covers multiple fields, including finance and social networking, meeting users’ diverse needs with innovative financial products and services. Through rich application scenarios, Match achieves both user scale and platform value growth. Match also introduces an on-chain DID system and social accessories to activate and amplify personal social value. By bringing in more SocialFi services and partners, Match continuously expands its ecosystem and drives global development.
In the “Voyage” stage, Match will complete the construction of a comprehensive service ecosystem, advancing to higher development levels. The platform offers diverse AI services, including intelligent advisory, personalized recommendations, and risk assessments, helping users make more informed decisions in complex market environments.
Match also utilizes ZK technology for privacy capabilities, addressing trust issues with off-chain data and computations. Users can share data confidentially within a trustless settlement layer, ensuring data privacy. ZK applications allow users to create confidential on-chain identities in a modular manner, surpassing traditional data obfuscation methods. Off-chain security guarantees provided by ZK technology ensure the integrity and expected state of vast off-chain data and computations.
Meme coins currently hold a market cap of around USD 49 billion. Match combines SocialFi with meme coins, forging a new value-based social ecosystem. Building upon the wealth effects of meme coins, Match attracts users and encourages them to engage in social activities, enabling value exchange and wealth amplification among users with SocialFi mechanisms. This innovative model not only attracts a large user base but also enhances long-term user retention and activity.
However, meme coins are community-driven and rely on community enthusiasm and hype, lacking sustainable development mechanisms for the long haul. How can Match sustain itself when interest in meme coins fades?
After accumulating data in the first stage, Match will use AI technology as its core driving force. Through intelligent data monitoring, precise user profiling, and AI-driven recommendation engines, Match helps users identify lucrative investment opportunities amidst the ocean of information, improving investment decision efficiency and reducing operational costs.
The success of meme coins often involves inevitability and chance. In the second stage, Match aims to help users seize early opportunities through AI. For example, when CCTV featured the meme coin SAMO, its community hype led to a 500% price surge. Similarly, the pre-sale of Darkfarm’s BOME surpassed expectations. By leveraging AI, such events can be identified, analyzed, and capitalized on.
Currently, Match is still in the early stages of AI training with limited data sets. As the volume and quality of data improve, Match may experience a breakthrough moment for SocialFi similar to the iPhone’s launch.
Additionally, Match plans to introduce a modular social layer to nurture a sustainable ecosystem. In the future, Match will be compatible with various mainstream public chains, allowing seamless integration of data and functionalities. This means that users can enjoy a unified, seamless social experience on the Match platform, regardless of the public chain they use. Furthermore, Match aims to evolve as the ideal platform for social IDOs. Through intelligent recommendations and precise matching, Match provides project teams with high-quality authentic users, facilitating swift traffic and user aggregation for projects on public chains. This not only improves the efficiency and success rate of token issuance but also enhances user engagement via social interactions, forming a sustainable ecosystem.
By harmonizing the four core pillars of wealth, traffic, social interaction, and information, Match forges a powerful value flywheel.
In the rapidly evolving and cacophonous blockchain domain, AI is often more of a gimmick rather than a practical tool. Match seeks to integrate AI into meme coins and SocialFi to deliver tangible applications, potentially heralding a fresh wave of transformation.
By utilizing AI for intelligent data monitoring and analysis, Match creates precise user profiles and offers tailored strategies to guide users toward profitable investments amidst vast information streams.
By analyzing social media trends, discussion scales, and on-chain data, Match’s AI delineates authentic project potential across multifaceted dimensions, distinguishing between retail and project-oriented buyers, empowering users to make more informed trading decisions. Besides, Match’s AI enables real-time access to project insights, saving users research time and helping them seize investment opportunities. The integration of AI not only improves the platform’s service quality but also provides users with personalized social experiences.
Moreover, Match’s AI can craft tailored strategies based on user profiles. Whether users are looking for quick profits, interested in memes, or are seasoned investors, Match’s AI provides bespoken recommendations and helps project teams devise more effective marketing strategies. In a cacophony of information, Match’s AI filters out valuable insights, providing value to users and addressing user retention issues. This not only increases user engagement but also enhances user loyalty.
Through AI-driven recommendations and precise matching, Match provides project teams with high-quality authentic users, making it the ideal platform for social IDOs. The deep integration of social interaction and finance allows users to enjoy the fun of socializing while earning considerable investment returns. Through in-depth AI-based analysis over social interaction data of users, Match generates precise user profiles and personalized recommendation strategies, offering more targeted services to meet different user needs. Moreover, Match uses social interaction data to create soul identities and on-chain credit certificates, further enhancing user trust and security on the platform. This approach not only improves user experience but also reduces costs and increases efficiency.
As Match accumulates more data and users, AI will provide more assistance to both users and project teams. For example, AI can aid in identifying product strengths and weaknesses for targeted optimization and improvements. It can also design more intelligent and personalized financial products to meet diverse user needs. Just like OpenAI, by increasing parameter training data sets, Match aims to trigger an AI revolution through qualitative changes brought by quantitative accumulation.
Surveying the industry’s social applications, from the early ONO to BM’s Voice, the common goal was to attract users to these new platforms for token rewards. However, this narrative has been debunked. The hurdle lies not in the veracity of Web 3.0 + social interaction but in the lofty costs associated with user migration from giants like Sina Weibo and Twitter. Even Sina Weibo’s own pictorial social platform, Oasis, faded quickly, illustrating the challenge.
An alternative approach entails leveraging niche appeal, akin to Douban or the present-day Farcaster, catering to specific user groups without attempting to supplant other social platforms.
In Web 3.0’s landscape, where trading takes a central stage, social applications can explore this facet, as exemplified by Match. Preceding Match, Friend.tech emerged with a viable proposition akin to exclusive circles where users believed prominent influencers could unlock wealth. However, Friend.tech merely attracted users through wealth effects without resolving the core query of user retention. Match aims to fill this gap.
Imagine such an offering: AI streamlines redundant social information for you, identifies investment projects that align with your flair, and offers you with passive SocialFi income while you are trading. Would you embrace this offering? This epitomizes the essence of most users’ demands in Web 3.0, a pain point Match solves.
At the heart of any application lies user retention; users are the linchpin for all endeavors, especially in the realm of social platforms. Presently, valuations of most prevalent social applications stay under USD 1 billion. To sustain these valuations, project teams must incessantly helm operations to enhance user retention. Conversely, Match, possessing an innate ability to naturally draw and retain a substantial user base, could potentially command valuations surpassing these figures by a wide margin, possibly even breaching the hundred-billion-dollar mark.
Disclaimer
This article is sponsored content and does not represent the views or opinions of BeInCrypto. While we adhere to the Trust Project guidelines for unbiased and transparent reporting, this content is created by a third party and is intended for promotional purposes. Readers are advised to verify information independently and consult with a professional before making decisions based on this sponsored content. Please note that our Terms and Conditions, Privacy Policy, and Disclaimers have been updated.
Market
XRP Price Fate Hangs on $2.00—Major Move Incoming?

Aayush Jindal, a luminary in the world of financial markets, whose expertise spans over 15 illustrious years in the realms of Forex and cryptocurrency trading. Renowned for his unparalleled proficiency in providing technical analysis, Aayush is a trusted advisor and senior market expert to investors worldwide, guiding them through the intricate landscapes of modern finance with his keen insights and astute chart analysis.
From a young age, Aayush exhibited a natural aptitude for deciphering complex systems and unraveling patterns. Fueled by an insatiable curiosity for understanding market dynamics, he embarked on a journey that would lead him to become one of the foremost authorities in the fields of Forex and crypto trading. With a meticulous eye for detail and an unwavering commitment to excellence, Aayush honed his craft over the years, mastering the art of technical analysis and chart interpretation.
As a software engineer, Aayush harnesses the power of technology to optimize trading strategies and develop innovative solutions for navigating the volatile waters of financial markets. His background in software engineering has equipped him with a unique skill set, enabling him to leverage cutting-edge tools and algorithms to gain a competitive edge in an ever-evolving landscape.
In addition to his roles in finance and technology, Aayush serves as the director of a prestigious IT company, where he spearheads initiatives aimed at driving digital innovation and transformation. Under his visionary leadership, the company has flourished, cementing its position as a leader in the tech industry and paving the way for groundbreaking advancements in software development and IT solutions.
Despite his demanding professional commitments, Aayush is a firm believer in the importance of work-life balance. An avid traveler and adventurer, he finds solace in exploring new destinations, immersing himself in different cultures, and forging lasting memories along the way. Whether he’s trekking through the Himalayas, diving in the azure waters of the Maldives, or experiencing the vibrant energy of bustling metropolises, Aayush embraces every opportunity to broaden his horizons and create unforgettable experiences.
Aayush’s journey to success is marked by a relentless pursuit of excellence and a steadfast commitment to continuous learning and growth. His academic achievements are a testament to his dedication and passion for excellence, having completed his software engineering with honors and excelling in every department.
At his core, Aayush is driven by a profound passion for analyzing markets and uncovering profitable opportunities amidst volatility. Whether he’s poring over price charts, identifying key support and resistance levels, or providing insightful analysis to his clients and followers, Aayush’s unwavering dedication to his craft sets him apart as a true industry leader and a beacon of inspiration to aspiring traders around the globe.
In a world where uncertainty reigns supreme, Aayush Jindal stands as a guiding light, illuminating the path to financial success with his unparalleled expertise, unwavering integrity, and boundless enthusiasm for the markets.
Market
Ethereum Price Weakens—Can Bulls Prevent a Major Breakdown?

Reason to trust
Strict editorial policy that focuses on accuracy, relevance, and impartiality
Created by industry experts and meticulously reviewed
The highest standards in reporting and publishing
Strict editorial policy that focuses on accuracy, relevance, and impartiality
Morbi pretium leo et nisl aliquam mollis. Quisque arcu lorem, ultricies quis pellentesque nec, ullamcorper eu odio.
Ethereum price started another decline and traded below the $1,880 level. ETH is now consolidating and remains at risk of more losses.
- Ethereum struggled to continue higher above the $2,000 resistance level.
- The price is trading below $1,880 and the 100-hourly Simple Moving Average.
- There is a connecting bearish trend line forming with resistance at $1,820 on the hourly chart of ETH/USD (data feed via Kraken).
- The pair must clear the $1,820 and $1,880 resistance levels to start a decent increase.
Ethereum Price Dips Again
Ethereum price failed to continue higher above $2,100 and started another decline, like Bitcoin. ETH declined below the $1,920 and $1,880 support levels.
It tested the $1,765 zone. A low was formed at $1,767 and the price recently attempted a fresh upward move. There was a move above the $1,800 level but the price is still below the 23.6% Fib retracement level of the recent decline from the $2,033 swing high to the $1,767 low.
Ethereum price is now trading below $1,880 and the 100-hourly Simple Moving Average. There is also a connecting bearish trend line forming with resistance at $1,820 on the hourly chart of ETH/USD.
On the upside, the price seems to be facing hurdles near the $1,820 level. The next key resistance is near the $1,880 level and the 50% Fib retracement level of the recent decline from the $2,033 swing high to the $1,767 low. The first major resistance is near the $1,920 level.

A clear move above the $1,920 resistance might send the price toward the $2,000 resistance. An upside break above the $2,000 resistance might call for more gains in the coming sessions. In the stated case, Ether could rise toward the $2,050 resistance zone or even $2,120 in the near term.
More Losses In ETH?
If Ethereum fails to clear the $1,880 resistance, it could start another decline. Initial support on the downside is near the $1,780 level. The first major support sits near the $1,765 zone.
A clear move below the $1,765 support might push the price toward the $1,720 support. Any more losses might send the price toward the $1,680 support level in the near term. The next key support sits at $1,650.
Technical Indicators
Hourly MACD – The MACD for ETH/USD is losing momentum in the bearish zone.
Hourly RSI – The RSI for ETH/USD is now below the 50 zone.
Major Support Level – $1,765
Major Resistance Level – $1,880
Market
Bitcoin Bears Tighten Grip—Where’s the Next Support?

Reason to trust
Strict editorial policy that focuses on accuracy, relevance, and impartiality
Created by industry experts and meticulously reviewed
The highest standards in reporting and publishing
Strict editorial policy that focuses on accuracy, relevance, and impartiality
Morbi pretium leo et nisl aliquam mollis. Quisque arcu lorem, ultricies quis pellentesque nec, ullamcorper eu odio.
Bitcoin price started another decline below the $85,000 zone. BTC is now consolidating and might struggle to recover above the $83,500 zone.
- Bitcoin started a fresh decline below the $83,500 support zone.
- The price is trading below $83,200 and the 100 hourly Simple moving average.
- There is a connecting bearish trend line forming with resistance at $82,750 on the hourly chart of the BTC/USD pair (data feed from Kraken).
- The pair could start another decline if it stays below the $83,500 resistance zone.
Bitcoin Price Dips Further
Bitcoin price failed to remain above the $85,500 level. BTC started another decline and traded below the support area at $85,000. The bears gained strength for a move below the $83,500 support zone.
The price even declined below the $82,000 level. A low was formed at $81,586 and the price is now consolidating losses below the 23.6% Fib retracement level of the downward move from the $83,500 swing high to the $81,586 swing low.
Bitcoin price is now trading below $82,500 and the 100 hourly Simple moving average. On the upside, immediate resistance is near the $82,000 level. The first key resistance is near the $82,750 level. There is also a connecting bearish trend line forming with resistance at $82,750 on the hourly chart of the BTC/USD pair.

The trend line is near the 61.8% Fib retracement level of the downward move from the $83,500 swing high to the $81,586 swing low. The next key resistance could be $83,500. A close above the $83,500 resistance might send the price further higher. In the stated case, the price could rise and test the $84,200 resistance level. Any more gains might send the price toward the $84,800 level or even $85,000.
Another Decline In BTC?
If Bitcoin fails to rise above the $83,500 resistance zone, it could start a fresh decline. Immediate support on the downside is near the $81,800 level. The first major support is near the $81,500 level.
The next support is now near the $80,650 zone. Any more losses might send the price toward the $80,000 support in the near term. The main support sits at $78,500.
Technical indicators:
Hourly MACD – The MACD is now gaining pace in the bearish zone.
Hourly RSI (Relative Strength Index) – The RSI for BTC/USD is now below the 50 level.
Major Support Levels – $81,500, followed by $80,650.
Major Resistance Levels – $82,750 and $83,500.
-
Ethereum17 hours ago
Whales Accumulate 470,000 Ethereum In One Week – Bullish Momentum Ahead?
-
Market20 hours ago
Whale Leverages $27.5 Million PEPE Long on Hyperliquid
-
Ethereum19 hours ago
Ethereum May Have Hit Cycle Bottom, But Pricing Bands Signal Strong Resistance At $2,300
-
Ethereum18 hours ago
Ethereum Analyst Eyes $1,200-$1,300 Level As Potential Acquisition Zone – Details
-
Bitcoin18 hours ago
Gold Keeps Outperforming Bitcoin Amid Trump’s Trade War Chaos
-
Altcoin17 hours ago
Analyst Reveals Why The XRP Price Can Hit ATH In The Next 90 To 120 Days
-
Bitcoin24 hours ago
Why Bitcoin Seasoned Investors Are Accumulating — Analyst Evaluates BTC’s Current Phase
-
Market23 hours ago
Crypto Derivatives Get a Boost from US CFTC