Author: Jiahua, ChainCatcher

In the AI era, information explosion has become a common challenge. Users not only need to find Alpha (high-value information) from a vast amount of information but also need to discern the authenticity of the information. As Nobel laureate Herbert Simon said, "A wealth of information creates a poverty of attention."

This is also the dilemma currently faced in the cryptocurrency space: users cannot efficiently determine whether a project is worth participating in and how to participate, while garbage information and projects abound on Twitter and TG, leading to a significant waste of attention and time in personal filtering. To address this pain point, Backroom has proposed a solution based on InfoFi.

What is Backroom?

Backroom is an AI-driven InfoFi protocol that captures the information flow in groups and filters out noise, transforming it into a real-time, tradable information market. Creators launch tokenized rooms, using AI to convert their insights into monetizable content. Users can unlock noise-free, high-value intelligence by purchasing on-chain keys linked to each creator's room.

Mechanism Breakdown and Innovations

For creators, the entire process can be completed by setting up the Room description, adding Backroom's AI Bot to Discord or Telegram groups, and pricing the Room, allowing them to focus on creation itself. The AI Bot will filter out noise and irrelevant information from the group, selecting Alpha and automatically organizing it into the Room.

For users, purchasing keys is necessary to access these rooms, and both the purchase and trading of keys require the use of $ROOM tokens.

At the same time, the project team allocates 25% of the tokens for growth and creator incentives, while the transaction fees from purchasing $ROOM (no detailed ratio available yet) and $ROOM tokens serve as creator incentives. This can kickstart an economic flywheel: creator incentives attract more excellent creators, providing more Alpha information → more demand for keys → more demand for $ROOM → higher rewards → more creators and traders → more Alpha.

The most significant innovation of Backroom lies in emphasizing the extraction of "Alpha" from private domains. In an era of information overload, public platforms like Twitter are filled with noise, while private groups often hide the earliest discussions. Backroom aims to leverage AI to monitor these closed spaces in real-time, quantifying information quality to provide users with high-quality, exclusive intelligence streams.

InfoFi Project Comparison

InfoFi (Information Finance) refers to the tokenization of information, transforming information into tradable assets. The goal of InfoFi is to optimize the noise in the market, allowing the market to determine the direction of attention flow rather than being confined by platform-created information echo chambers or algorithmic biases. Creators gain airdrops and traffic through their creations, project teams seek exposure and attention, and users participate and learn about genuinely valuable projects.

InfoFi aims to address the inefficiencies and unfairness in the current market caused by information overload (creators can only earn a small portion of the revenue from their creations, while users invest time and attention but struggle to find Alpha), while also making the information flow that users receive more intelligent and efficient.

In fact, InfoFi encompasses all projects that treat information as a commodity: such as Nansen, Dune, and even Polymarket, as well as Kaito, Cookie, and others. Most of InfoFi's revenue opportunities come from direct participation in projects, such as Kaito sharing insights on projects on Twitter to attract traffic or Backroom focusing on organizing Alpha information.

Project

Introduction

Core Functions

Backroom

AI-driven InfoFi protocol focused on extracting high-value information from private groups.

• AI Bot monitors Discord/Telegram groups, filtering out noise and organizing Alpha.
• Room pricing and key mechanism, using $ROOM tokens for purchase/trading.
• Incentivizes creators through transaction fees and token rewards.

Kaito

Leading InfoFi project, a center for information, attention, and capital distribution based on cryptocurrency, utilizing advanced AI algorithms to extract and interpret rich signals (e.g., social graphs and semantic understanding) to quantify attention.

• MindShare leaderboard assesses the heat and spread of project discussions.
• Yapper leaderboard evaluates creator popularity and content quality.
• Users post tweets about Kaito and related projects to earn platform points.
• Kaito Pro analyzes project heat and user sentiment.

cookie.fun

Uses AI to track user behavior and attention, converting it into monetizable assets. The Snaps system rewards content creation and community interaction.

• MindShare leaderboard ranks creators.
• Projects on the leaderboard distribute airdrop shares to creators, rewarding loyalty.
• Users post tweets about cookie and related projects to earn platform points.

Trends

Trends is a tweet tokenization protocol based on Solana, allowing users to tokenize and trade any tweet, as well as comment on opinions.

• Quickly trade by submitting tweet links.
• Creators earn 20% of transaction fee revenue.
• Users post tagged posts to earn platform points.

Issues and Summary

Although Backroom innovates to some extent compared to previous InfoFi projects, it still faces some issues.

First, the $ROOM token lacks sufficient empowerment. The price of $ROOM tokens depends on the trading volume of Keys; if early user growth is slow or quality Rooms are scarce, the token value may continue to decline, which in turn may demotivate creators from joining, creating a cycle.

Second, there is insufficient differentiation from traditional paid small group models. Backroom's Rooms are similar to private Telegram groups or WeChat small groups, both relying on content scarcity to attract users. Additionally, traditional group models already have a user base, and if Backroom does not innovate, it will struggle to attract new users.

Moreover, Backroom relies on a dedicated AI Bot to capture key information from groups for dissemination, which is an essential production link in the entire economic flywheel. However, the AI model may misjudge messages due to insufficient training data or algorithmic bias, such as mistaking irrelevant discussions for Alpha or overlooking implicit key information.

In Conclusion: Future Prospects of the InfoFi Track

Whether it is Backroom, Kaito, or Trends, the core focus of InfoFi projects should be on how to bring more authentic and effective information to the market, thereby injecting more liquidity into the current market. InfoFi currently also faces many issues, such as opaque rules for calculating points and a heavy reliance on AI.

The significance of InfoFi projects may lie in promoting current market users from "mining, withdrawing, and selling" to deeply understanding project mechanisms and diligently building. Project teams should also allocate airdrop rewards to users and creators who genuinely participate. When more people begin to produce and provide high-quality, authentic content, and when the market pays more attention to proactive and creative projects, the arrival of a bull market will no longer be determined solely by cycles but will be driven by innovation and value.

(This article is for informational purposes only and does not constitute investment advice.)

Recommended Reading:

The Dilemma of InfoFi in the Attention Economy

KOL Narrative: InfoFi is Here, My Traffic Has Dropped to Historical Lows

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