Feature
KOL Tracking for Crypto Research
Track who is leaning into a thesis, see when conviction starts clustering, and review the setup before the rest of the feed catches up.
Follow monitored conviction instead of raw volume
Databot is not trying to show every loud account on the timeline. The useful part is seeing which tracked accounts actually matter, and when several of them begin leaning into the same setup.
Validate faster with multi-chain context
A mention is only interesting if you can validate it quickly. The workflow makes more sense when KOL activity sits next to chain coverage, watchlists, and enough market context to tell whether the setup deserves more time.
Route the strongest setups into alerts
The public product leans hard into Telegram delivery and API access because the job is not just finding signal. It is getting the right signal into the workflow where you actually make decisions.