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

A Beginner’s Guide to Data Engineering and DataOps for 2026

While the public often celebrates the triumphs of artificial intelligence and predictive modeling, these high-level insights depend entirely on a hidden, gargantuan plumbing system that keeps data flowing, clean, and accessible. In the current landscape, the realization has settled across the corporate world that a data scientist without a data engineer is like a master chef in a kitchen with

Ethereum Adopts ERC-7730 to Replace Risky Blind Signing

For years, the experience of interacting with decentralized applications on the Ethereum blockchain has been fraught with a precarious and dangerous uncertainty known as blind signing. Every time a user attempted to swap tokens or provide liquidity, their hardware or software wallet would present them with a wall of incomprehensible hexadecimal code, essentially asking them to authorize a financial transaction

Germany Funds KDE to Boost Linux as Windows Alternative

The decision by the German government to allocate a 1.3 million euro grant to the KDE community marks a definitive shift in how European nations view the long-standing dominance of proprietary operating systems like Windows and macOS. This financial injection, facilitated by the Sovereign Tech Fund, serves as a high-stakes investment in the concept of digital sovereignty, aiming to provide

Why Is This $20 Windows 11 Pro and Training Bundle a Steal?

Navigating the complexities of modern computing requires more than just high-end hardware; it demands an operating system that integrates seamlessly with artificial intelligence while providing robust security for sensitive personal and professional data. As of 2026, many users still find themselves tethered to aging software environments that struggle to keep pace with the rapid advancements in cloud computing and data

Notion Launches Developer Platform for AI Agent Management

The modern enterprise currently grapples with an overwhelming explosion of disconnected software tools that fragment critical information and stall meaningful productivity across entire departments. While the shift toward artificial intelligence promised to streamline these disparate workflows, the reality has often resulted in a chaotic landscape where specialized agents lack the necessary context to perform high-stakes tasks autonomously. Organizations frequently find