On November 7th, the decentralized follow-order product T2T2 officially started its internal testing, and a group of top traders have begun to join, including institutional traders, top Binance contract followers, and Telegram bot teams.

From the current traders who have joined, it can be seen that T2T2's follow-order room is strongly linked to Twitter. Therefore, before choosing whether to pay for the follow-order, users can check their trading level on Twitter or other public channels.

We can understand the social logic behind T2T2's release of the v1 whitepaper from the formula:

T2T2 v1 Whitepaper

Where:

• S represents the number of KEYs, derived from Friend Tech's social model. The more people participate, the more the room owner earns, and the earlier participants also earn more.

• ROI is the net value of the fund for following orders. When Dogecoin and blue chips are flying, high ROI is common in the Crypto world.

• fee represents the commission fee given to the room owner.

• The constant term of 0.01 is to prevent bots.

The demand of Crypto users is simple, they need simplicity and directness. When the market takes off, everyone just wants to make a profit, trade Dogecoin/blue chips, or engage in PvP with other players, rather than engage in upward social chat.

ROI ranking on T2T2

T2T2 has started a new exploration in the social model, abandoning the satisfaction of users' so-called upward social needs, and instead focusing on the fundamental asset side: allowing users to follow trading, starting from DEX, and will also expand to contract DEX in the future, all on-chain. Whether Friend.tech launches its token or not will not affect the mode and user network of T2T2 itself.

At the same time, T2T2 has also released a Tokenomic model, which introduces a new token flywheel in the latest follow-order mode, with the core idea: allowing ordinary users to not only follow orders, but also receive additional arbitrage subsidies and share the entire system's inflationary gains.

As seen on the left, the logic of users following the room owner's orders is normal. The room owner can configure an index fund or partially or fully configure $T2.

So the operation logic of this flywheel is very clear:

• When the price of T2 rises, the ROI of following orders will be very high, which will further attract users to follow orders, contribute to TVL trading volume, and then the trading commission will be rebated to the room owner and the platform. This constitutes the first flywheel, which increases the income of the room owner and the platform through price increases, thereby providing value support for the rise of T2.

• When the platform fees and room owner's earnings expand, the room owner will allocate more T2 positions, because this can help increase the ROI and TVL of the room. The larger the allocation, the more aggressive the rise in T2 price, and the higher the inflationary incentives shared by participating followers. This constitutes the second flywheel.

Under the stimulation of these two flywheels, early users holding KEY can also experience rapid growth, and early users who discover high-quality traders can also benefit from the subsequent rise in KEY of followers.

Regarding the second flywheel, the whitepaper provides a clearer explanation and example of the inflationary incentives:

In summary, T2T2's design is relatively novel and has its own moat. Whether for room owners or retail investors, participating in T2T2 is equivalent to indirectly participating in Friend Tech + TG bot + ve(3,3) + contract following. And during the participation process, users' networks will gradually grow.

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