VaSTaR
3.5K posts


DIN has been steadily moving toward AI + trading.
What we are building now:
1. Together with @opinionlabsxyz , we are working on @OpinionPro_ to build a trading product for prediction markets. The trading bot is already live, and everyone is welcome to try it.
2. We are also building a quantitative trading assistant, @Alpha_Zen_. Several versions have already been developed, and we are now optimizing the algorithm because the backtesting results are not strong enough yet.
Even in a tough external market environment, DIN has not given up.
These two products will also strengthen the value and utility of $DIN over time. We hope our community continues to believe in us and grow with us.

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@ofc_the_club @Gate 300 million investments, such hype at the beginning, and a listing on Get, it's a disgrace
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Why do 60% of enterprise AI projects fail?
According to the latest 2026 industry outlooks, the answer is simple: They lack AI-ready data foundations.
The industry is waking up. Access to the latest LLM is no longer a competitive advantage—it's a commodity. The true differentiator of 2026 is high-quality, structured, proprietary data.
If your AI is eating "junk data," your project will fail. This is exactly why the Data Intelligence Network (DIN) exists. Our decentralized network of Chipper Nodes doesn't just store information; we "cook" it. We collect, validate, and vectorize raw data into the exact format that autonomous agents need to succeed.
The models are hungry. We provide the feast.
Source: channelinsider.com/ai/ai-trend-pr…
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