Feature
Web3 Project Discoveries
Databot's AI-powered Discoveries dashboard surfaces early-stage Web3 projects by aggregating KOL social data, extracting on-chain contract information, and ranking opportunities before they reach the wider market.
Surface early projects before they reach the timeline
The Discoveries dashboard aggregates activity from 500+ monitored KOLs and uses AI to identify emerging projects before they gain mainstream visibility. Rather than manually scanning who is talking about what, you see a ranked feed of projects that are already drawing attention from the accounts most likely to be early — along with trending rankings across different timeframes so you can gauge momentum, not just presence.
AI bridges social signals and on-chain contract data
When Discoveries surfaces a project, the AI layer goes further than logging a mention. It analyzes the surrounding context from KOL posts and extracts blockchain and contract information automatically — connecting the social signal to verifiable on-chain data without requiring you to cross-reference multiple tools. That combination reduces the time between seeing a mention and knowing whether there is anything to validate.
Discovery scores, watchlists, and advanced filters
Each project in the Discoveries feed carries a discovery score derived from KOL activity, engagement velocity, and on-chain confirmation signals. Custom watchlists let you track the specific projects you are already following. Advanced filters — chain, category, launch date, and more — narrow the feed to what is relevant to your workflow instead of surfacing everything.
Community voting refines what surfaces next
Discoveries is not a purely automated system. Users can vote on surfaced projects, which feeds back into how future discoveries are ranked. This means the discovery feed improves with use — community signal reinforces or tempers algorithmic ranking, reducing the false positive rate over time.