>400 subscribers
>400 subscribers
Most things we buy onchain are driven by social signals - who’s talking about them, who’s swapping, and how much traction they get in the feed.
Money follows narratives. Volume, liquidity, and price react after the fact. But the real catalyst is Attention - where it concentrates, how it spreads, and who drives it.
The problem? Until now, we’ve been trying to measure waves with the wrong tools.
Onchain activity begins in the feed. A meme, a post, a quote, a chart getting likes for “up only” - these signals snowball into trades, liquidity flows, and market cycles.
But Attention isn’t just noise. It’s structured, directional, and powerful. It’s the difference between a token that pumps once and disappears, and one that captures a sustained narrative.
Everyone is focusing on mindshare - counting mentions and measuring who’s loudest. Useful, but incomplete. Mindshare shows raw volume of conversation. If we want a metric that can give us alpha on where the market will go, that's not enough.
Attention is different.
Attention shows traction: what sticks, spreads, and ultimately moves markets.
Attention shows acceleration: where narratives are building momentum.
Attention shows impact: who is shaping the market, not just who is talking.
What matters isn’t just whether a token is mentioned, but whether people care enough to engage, share, or trade. Metrics need to evolve. They shouldn’t just tell us if a price went up or down. They should be dynamic based on our feed activity, showing us where Attention is flowing, who’s behind it, and how it connects to onchain activity.
Attention is scarce, and tokens compete for it.
This is the missing primitive.
Attention isn’t the same as mentions or impressions. It blends:
Momentum → Is the wave rising or fading?
Traction → Are people amplifying, not just repeating?
Quality → Are these signals coming from credible voices, not spam?
The result is a metric that captures not just chatter but conviction. One meaningful post outweighs a hundred empty mentions.
Attention combines two core measures - Pulse (momentum) and Checkr Score (traction) - into a single weighted formula.
Attention = wPulse + wCheckrScore (weights are normalized per token and filtered to remove noise)
This turns scattered social signals into one clear number: where the next wave is forming.
I kept seeing tokens explode on Farcaster before the price chart caught up. That’s when it hit me: we weren’t measuring the right thing.
So how do we turn this new metric into something you can see, act on, and build with?
This led me to build Checkr.
Checkr transforms feed activity across Farcaster and X into an attention layer, spotting early market shifts.
It filters out noise and reveals the signal:
Which tokens are gaining traction
Who’s driving the narrative
Where the next wave of attention is forming before price reacts
Checkr isn’t just another analytics tool. It’s where traders, builders, and apps go to see what’s trending - the same way they scroll TikTok, but for onchain assets, becoming the Attention Layer on Base.
Every token on Checkr is tracked across attention-native metrics:
Mindshare → Share of conversation, how much of the overall conversation a token owns
Influence → Blends social traction with onchain activity
Pulse → Momentum of Attention, rising or fading
Checkr Score → Long-term traction, filtering out noise
Attention → A weighted blend of Pulse + Checkr Score, capturing quality + visibility + momentum in one snapshot
This way, one meaningful post is stronger than a hundred empty mentions. These metrics reveal where the strongest waves are forming, and when to ride them.
Attention is only valuable if you can act on it. That’s why Checkr makes it accessible across two experiences:
Desktop App → Market-wide view, trending tokens, historical Attention charts, creators and their influence.
Mini App → Live signals inside your Farcaster feed, notifications when a token gains traction, and gated insights via $checkr (e.g. full access to X data).
What charts confirm too late, the feed whispers early. Checkr is where it becomes clear.
Checkr makes Attention actionable:
For traders → Catch narratives before price reacts
For apps & exchanges → Integrate Attention metrics into listings, airdrops, wallets
For creators → Attribution for shaping the narratives that drive markets
This is not about watching what already happened. It’s about seeing the current that moves the market. Attention stops being invisible. It becomes tradable, actionable, and aligned with the way crypto actually moves.
Attention is the missing primitive - the layer between feed activity and onchain activity.
As everything moves onchain, tokens will become social feeds. And Checkr makes them measurable.
Markets will rise and fall not only on liquidity, but on how much attention they capture. This is more than analytics. It’s the shift from watching what happened to seeing what’s happening.
Checkr is building a native data layer for Base - where every narrative, every meme, every surge of engagement is tracked, weighted, and surfaced before price reacts.
Attention isn’t noise. It’s the market’s leading signal. To trade crypto today is to Ride the attention wave.
Most things we buy onchain are driven by social signals - who’s talking about them, who’s swapping, and how much traction they get in the feed.
Money follows narratives. Volume, liquidity, and price react after the fact. But the real catalyst is Attention - where it concentrates, how it spreads, and who drives it.
The problem? Until now, we’ve been trying to measure waves with the wrong tools.
Onchain activity begins in the feed. A meme, a post, a quote, a chart getting likes for “up only” - these signals snowball into trades, liquidity flows, and market cycles.
But Attention isn’t just noise. It’s structured, directional, and powerful. It’s the difference between a token that pumps once and disappears, and one that captures a sustained narrative.
Everyone is focusing on mindshare - counting mentions and measuring who’s loudest. Useful, but incomplete. Mindshare shows raw volume of conversation. If we want a metric that can give us alpha on where the market will go, that's not enough.
Attention is different.
Attention shows traction: what sticks, spreads, and ultimately moves markets.
Attention shows acceleration: where narratives are building momentum.
Attention shows impact: who is shaping the market, not just who is talking.
What matters isn’t just whether a token is mentioned, but whether people care enough to engage, share, or trade. Metrics need to evolve. They shouldn’t just tell us if a price went up or down. They should be dynamic based on our feed activity, showing us where Attention is flowing, who’s behind it, and how it connects to onchain activity.
Attention is scarce, and tokens compete for it.
This is the missing primitive.
Attention isn’t the same as mentions or impressions. It blends:
Momentum → Is the wave rising or fading?
Traction → Are people amplifying, not just repeating?
Quality → Are these signals coming from credible voices, not spam?
The result is a metric that captures not just chatter but conviction. One meaningful post outweighs a hundred empty mentions.
Attention combines two core measures - Pulse (momentum) and Checkr Score (traction) - into a single weighted formula.
Attention = wPulse + wCheckrScore (weights are normalized per token and filtered to remove noise)
This turns scattered social signals into one clear number: where the next wave is forming.
I kept seeing tokens explode on Farcaster before the price chart caught up. That’s when it hit me: we weren’t measuring the right thing.
So how do we turn this new metric into something you can see, act on, and build with?
This led me to build Checkr.
Checkr transforms feed activity across Farcaster and X into an attention layer, spotting early market shifts.
It filters out noise and reveals the signal:
Which tokens are gaining traction
Who’s driving the narrative
Where the next wave of attention is forming before price reacts
Checkr isn’t just another analytics tool. It’s where traders, builders, and apps go to see what’s trending - the same way they scroll TikTok, but for onchain assets, becoming the Attention Layer on Base.
Every token on Checkr is tracked across attention-native metrics:
Mindshare → Share of conversation, how much of the overall conversation a token owns
Influence → Blends social traction with onchain activity
Pulse → Momentum of Attention, rising or fading
Checkr Score → Long-term traction, filtering out noise
Attention → A weighted blend of Pulse + Checkr Score, capturing quality + visibility + momentum in one snapshot
This way, one meaningful post is stronger than a hundred empty mentions. These metrics reveal where the strongest waves are forming, and when to ride them.
Attention is only valuable if you can act on it. That’s why Checkr makes it accessible across two experiences:
Desktop App → Market-wide view, trending tokens, historical Attention charts, creators and their influence.
Mini App → Live signals inside your Farcaster feed, notifications when a token gains traction, and gated insights via $checkr (e.g. full access to X data).
What charts confirm too late, the feed whispers early. Checkr is where it becomes clear.
Checkr makes Attention actionable:
For traders → Catch narratives before price reacts
For apps & exchanges → Integrate Attention metrics into listings, airdrops, wallets
For creators → Attribution for shaping the narratives that drive markets
This is not about watching what already happened. It’s about seeing the current that moves the market. Attention stops being invisible. It becomes tradable, actionable, and aligned with the way crypto actually moves.
Attention is the missing primitive - the layer between feed activity and onchain activity.
As everything moves onchain, tokens will become social feeds. And Checkr makes them measurable.
Markets will rise and fall not only on liquidity, but on how much attention they capture. This is more than analytics. It’s the shift from watching what happened to seeing what’s happening.
Checkr is building a native data layer for Base - where every narrative, every meme, every surge of engagement is tracked, weighted, and surfaced before price reacts.
Attention isn’t noise. It’s the market’s leading signal. To trade crypto today is to Ride the attention wave.
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Suggested read of the day: https://tomu.xyz/ride-the-attention-wave?referrer=0x98397A068d413D3C92A506f98c5F25D33A9DAc14
I wrote about how Attention will become the key metric - turning feed conversations into onchain activity Checkr is the layer that makes it measurable
Attention drives the future of crypto markets, as explained in the latest blog post by @tomu. Key insights reveal that attention influences market value and actual trades, as it creates traction, momentum, and impact for tokens. Traditional metrics are insufficient; the new Checkr platform innovatively measures attention across various social signals, turning noise into actionable insights. Checkr empowers traders, apps, and creators to capitalize on early market shifts by offering accessible metrics that marry feed activity with onchain transactions.