checkr

checkr turns social signals into actionable metrics. split into 3 components:

- token analysis
- attention analysis
- influence analysis

how to read them + spot trades: a quick thread

pulls every cast mentioning the token and highlights the most engaged one daily. ranks users driving the most attention using an influence score

tip: set alerts on the top 5 casters - those are the early signals

building checkr.social | writing tomu.xyz | nf.td/tomu

tracks momentum

social RSI shows how strong the hype is, based on who’s casting and how much engagement they’re pulling. daily mindshare helps confirm the trend

tip: when momentum flips positive, zoom into hourly data and look for engagement spikes - these often front-run price action

maps influence vs. price

pearson correlation shows if attention is leading price (or vice versa). lag tells how many days it takes for one to react to the other

tip: lag often hits 2-3 days - the closer to 1, the better. when influence crosses above price, that’s the accumulation zone

latest example? $drb went up +30% on day one, then +90% on day two