Why have I been talking about Sahara lately? Because @SaharaLabsAI is building an open platform where everyone can upload data, train AI, and earn rewards—potentially a leading player in the AI Layer1 space worth keeping an eye on.


Business breakdown: two main lines.

B2B data labeling business (combination of Web2 + Web3).

Sahara collaborates with Motherson (an Indian publicly listed manufacturing company) to develop an automotive design AI Agent. Motherson can directly use the decentralized crowdsourced labeled data on the Sahara platform for intelligent design improvements.

Collaborating with Hollywood creator agencies to build AI Agents for influencers, helping them generate personalized short video scripts.

There is also a large government agency's testing case that has been running for six months, and further deep collaboration will follow.


Blockchain ecological business (Sahara L1 + AI developer platform).

Sahara L1: The test network was launched on May 19, with 31.1 million active wallets, 3.24 million total accounts, DAU of 1.27 million, and a cumulative transaction volume of 150 million, averaging 1.5 million transactions daily. The main function supports AI data uploads and mints them as NFTs (on-chain certification of data ownership). The testnet phase has completed three rounds of data labeling tests, with a total of 1.287 million valid labeled datasets, and the quality is sufficient to support training needs for non-top AI teams, with coin issuance expected at the end of Q2/beginning of Q3.


AI Data Service: The data service whitelist is now open, with 4 million wallets queued for the test version, daily active users at 92.5k, and a total of 8.2 million effective data points.


AI Dev Platform: Opened to developers from May 19 with functionalities covering importing verification data/models, training models, fine-tuning prompts/parameters, and tracking model performance/usage/monetization.


Upcoming ecological products: plans to launch Model Evaluation, DeFi Aggregation Bot, Trading Framework, to create a complete closed loop from data to model to DeFi incentives for AI developers.


Questions about Sahara?

Nowadays, large models commonly use RLHF (Reinforcement Learning from Human Feedback), and with the release of DeepSeek R1, market sentiment is shifting towards 'labeling should focus on fewer but quality data', making it difficult for ordinary people to participate in high-quality data collection.


So what is Sahara doing?

It can be summarized in one sentence: 'Web2 AI services + Web3 data on-chain', with the core idea being decentralized data acquisition, reducing model training costs, relying on community participation rather than financial speculation.


Sahara has progressed from 'imagination' to 'data implementation + on-chain verification'. The Priority Allocation event on @buidlpad has attracted over 39,000 submissions, with 30% of the community quota reserved for contributors, content creators, and loyal supporters.


If you didn't get on the whitelist, friends with conditions can still choose to participate; the short-term valuation is not low, DYOR.

#Sahara #AI #Web3 #CryptoAI #SaharaLabsAI