DigNow verifies crypto data from 1000 on & off-chain data points per project using human-AI hybrid collaboration for trusted, smarter investment decisions.
AI models are improving fast.
Data quality isnโt.
That gap is becoming the biggest risk in AI driven crypto decisions.
What breaks first when models outgrow their data?
Everyoneโs talking about AI agents in crypto. ๐ค
Very few are talking about what those agents are fed.
Bad data doesnโt get smarter at scale, it just gets louder.
Whatโs one data source you never trust at face value?
One of @DigNow_ioโs core design goals is trust. ๐
AI handles scale, Humans add judgment. ๐ง
Together, they turn noisy crypto data into something you can actually rely on.
Whatโs the first thing you verify before trusting a project?
Happy New Year, Diggers ๐
Thanks to everyone pushing for better data, clearer insights, and smarter decisions in crypto.
Wishing you a healthy, focused, and prosperous year ahead ๐๐โจ
Our AI agent & community scanned ๐ญ๐ฎ๐ฌ sources to update crypto projects data in seconds.
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Which tasks would love to see in the upcoming season?
At @DigNow_io we began with a simple idea: give AI agents in crypto the kind of verified data they can truly rely on ๐ค๐
What started as a small effort to fix fragmented information has grown into a full data infrastructure covering 120 sources and 1,000 data points per project ๐โก
Today our hybrid model combines fast AI collection with human-checked validation through a community of 5,200 diggers, making DigNow the backbone for smarter research, investing, and due diligence ๐ง ๐ฅ
To explore more about DigNowโs decentralized data validation platform join here: app.pub.dignow.io/en