Since the launch of the Sahara AI testnet in December last year, I have been tracking this project and have written a few articles introducing its basic situation and important progress. Recently, Sahara AI is about to conduct its TGE, opening 1.4167% of its share to the community. With a FDV of 600 million, it is actually not cheap (the last round of financing was valued at 400 million USD), but I still decided to participate.

The main reason is my optimism about @SaharaLabsAI as a public chain designed for native AI, which has the potential to become a leading representative in this new track. Additionally, Sahara AI's data performance during several rounds of testnet phases has been impressive, with good community enthusiasm and ecological response.

The platform for this round of TGE is Buidlpad, whose founder also came from Binance, having previously been responsible for Binance Launchpad and CoinMarketCap.

One detail worth noting is that the assets users need to invest are BNB or USD1, rather than stablecoins like USDT or USDC. It is well known that USD1 is a stablecoin issued by the Trump family, and previously, when the Abu Dhabi Sovereign Fund invested in Binance, 2 billion of the funds were based on USD1. Under such structure and background, it also indicates that the Sahara AI project is likely to receive significant support from Binance, BNB Chain, and other ecosystems in the future.

Let’s review the key milestones and data of Sahara AI in the past six months:

◦ Sahara AI started with high-profile financing from star institutions (https://t.co/4SbqyFDDFA), with Polychain, YZi Labs, and Pantera Capital co-leading the investment, quickly becoming a representative of AI public chains.

◦ During the testnet S1 and S2 phases, there were over a hundred thousand users participating in data labeling, with millions of data points, which can be described as extremely competitive (https://t.co/ZMWnF36rvb).

◦ The data labeling capability has been reciprocated to other AI applications (https://t.co/2uA3mtYm39), with the first collaboration being with MyShell, opening up a new business model.

◦ Before launching the SIWA public testnet (https://t.co/VFyuvdgse4), there were over 3.2 million wallet addresses, with daily active wallets exceeding 1.4 million, and more than 200,000 users contributing data to the DSP.