Friend.tech Faces Controversies and Decline: Lessons Learned from the Rise and Fall of a Social App for Web3

Friend.tech, the newest social app for Web3, made a splash upon its early launch this month. However, industry speculators are already pronouncing it ‘dead’ following a sharp decline in inflows and volume. Let’s delve into the journey of Friend.tech, examining its features, integration with Coinbase’s layer-2 Base blockchain, initial success, privacy breach, reasons for its failure, the role of automated trading bots, and a comparison to BitClout, another controversial platform.

Description of Friend.tech

Friend.tech is a blockchain-based platform that allows users to buy and sell cryptos linked to their favorite influencers on Twitter. These influencers, acting as ‘keys,’ provide direct communication between users and the influencers themselves. It aims to revolutionize social networking by harnessing the power of the blockchain.

Integration with Coinbase’s Layer-2 Base Blockchain

On August 11, Friend.tech embarked on Coinbase’s Layer-2 Base blockchain. This integration marked a significant step forward for the platform, fostering trust and reliability among users.

The initial success of Friend.tech

In its early days, Friend.tech experienced remarkable success. On August 19, the decentralized social (DeSo) network generated over $1 million in fees within just 24 hours, as reported by DeFiLlama. This achievement highlighted the platform’s potential and captured the attention of the crypto community.

Privacy breach and decline in platform performance

Unfortunately, Friend.tech’s journey took a turn for the worse when it suffered a major privacy breach. The breach exposed sensitive information, compromising the security and trust of more than 101,000 individuals. This incident sparked concerns and cast a shadow over the platform’s reputation.

The aftermath of the privacy breach took a toll on Friend.tech’s performance. Daily fees plummeted over 87% to reach around $215,000 on August 26, down from its peak of $1.7 million on August 21, according to DeFiLlama data. Additionally, transactions saw a sharp plunge to 51,000 on August 27, experiencing a 90% decline from nearly 525,000 transactions on August 21, as reported by Dune Analytics. These staggering declines indicated a loss of user trust and participation.

Reasons for Friend.tech’s failure

Lisandro Rodriguez, a payments risk manager at Coinbase, suggests that Friend.tech’s failure can be attributed to the “greed of people” and a poor scaling strategy. The platform might have been ill-prepared to handle the influx of users and transactions, leading to technical and operational challenges.

Automated Trading Bots and Manipulation Allegations

Friend.tech’s downfall was also marred by allegations of automated trading bots exploiting rapid price movements and manipulating the order of transactions. These activities raised concerns about the authenticity and fairness of the platform, further eroding user confidence.

Comparison to BitClout and similar issues

The rise and fall of Friend.tech draws parallels to another controversial platform, BitClout. Launched in 2021 and backed by prominent investors like Andreessen Horowitz and Sequoia, BitClout aimed to tokenize famous crypto personalities, allowing users to buy shares in them. Similarly, BitClout faced backlash and encountered legal issues, showcasing the challenges faced by platforms seeking to disrupt the social media landscape.

Friend.tech’s journey serves as a cautionary tale for aspiring Web3 social apps. While the initial success of the platform was promising, its downfall due to a privacy breach, declining user engagement, allegations of manipulation, and poor scaling strategy reveals the fragility of such ventures. Platforms operating in the blockchain sphere must prioritize security, scalability, and user trust to overcome the challenges posed by rapidly evolving technologies and the inherent risks of the crypto landscape. The rise and fall of Friend.tech and the controversies surrounding BitClout offer valuable lessons for future entrepreneurs and innovators in this space.

Explore more

Trend Analysis: Australian Payroll Compliance Software

The Australian payroll landscape has fundamentally transitioned from a mundane back-office administrative task into a high-stakes strategic priority where manual calculation errors are no longer considered an acceptable business risk. This shift is driven by a convergence of increasingly stringent “Modern Awards,” complex Single Touch Payroll (STP) Phase 2 mandates, and aggressive regulatory oversight that collectively forces a massive migration

Trend Analysis: Automated Global Payroll Systems

The era of the back-office payroll department buried under mountains of spreadsheets and manual tax tables has officially reached its expiration date. In today’s hyper-connected global economy, businesses are no longer confined by physical borders, yet many remain tethered by the sheer complexity of international labor laws and localized compliance requirements. Automated global payroll systems have emerged as the critical

Trend Analysis: Proactive Safety in Autonomous Robotics

The era of the heavy industrial robot sequestered behind a high-voltage cage is rapidly fading into the history of manufacturing. Today, the factory floor is a landscape of constant motion where autonomous systems navigate the same corridors as human workers with an agility that was once considered science fiction. This transition represents more than a simple upgrade in hardware; it

The 2026 Shift Toward AI-Driven Autonomous Industrial Operations

The convergence of sophisticated artificial intelligence and physical manufacturing has reached a critical tipping point where human intervention is no longer the primary driver of operational success. Modern facilities have moved beyond simple automation, transitioning into integrated ecosystems that function with a degree of independence previously reserved for science fiction. This evolution represents a fundamental shift in how industrial entities

Trend Analysis: Enterprise AI Automation Trends

The integration of sophisticated algorithmic intelligence into the very fabric of corporate infrastructure has moved far beyond the initial hype cycle, solidifying itself as the primary engine for modern competitive advantage in the global economy. Organizations no longer view these technologies as experimental add-ons but rather as foundational requirements that dictate the speed and scale of their operations. This shift