Programmable social
Crypto made money programmable. You can use tokens like Lego blocks, play around with different mechanics, and now we’re heading in the same direction with social media posts. We spend hours scrolling, posting, chatting, signing transactions, swapping tokens, and bouncing between apps for different types of engagement. But it’s so fragmented: sharing weekend plans in one app, messaging with friends in another, tracking prices somewhere else, executing a swap in a wallet, and posting a DAO pro...
Tokens as cultural moments
When a new narrative starts, everyone wants to experiment. From a few projects to thousands of assets, we’re in a memecoin bull market - similar to when we saw everyone talking about NFTs last cycle. The difference now? It’s much easier and cheaper to create anything onchain. It’s not about how many tokens are created - it’s about their narrative. Pump.fun alone has over 3 million tokens created, averaging 30k daily, but only 1% make it to a secondary market. Just like social media: abundant ...
Ride the attention wave
Support tomu
Attention moves first. The market follows
Support tomu
Attention moves first. The market follows
Programmable social
Crypto made money programmable. You can use tokens like Lego blocks, play around with different mechanics, and now we’re heading in the same direction with social media posts. We spend hours scrolling, posting, chatting, signing transactions, swapping tokens, and bouncing between apps for different types of engagement. But it’s so fragmented: sharing weekend plans in one app, messaging with friends in another, tracking prices somewhere else, executing a swap in a wallet, and posting a DAO pro...
Tokens as cultural moments
When a new narrative starts, everyone wants to experiment. From a few projects to thousands of assets, we’re in a memecoin bull market - similar to when we saw everyone talking about NFTs last cycle. The difference now? It’s much easier and cheaper to create anything onchain. It’s not about how many tokens are created - it’s about their narrative. Pump.fun alone has over 3 million tokens created, averaging 30k daily, but only 1% make it to a secondary market. Just like social media: abundant ...
Ride the attention wave
Share Dialog
A meme, a name, a coin, a moment - and suddenly the feed catches fire.
Something small flips into movement. Everyone feels it, but no one measures it.
I’ve been obsessed with that exact moment - where a post becomes a chart, where culture turns into capital.
We all see it happening.
We just never had a clean way to read it.
Checkr began as a curiosity during the clanker wave with a small dashboard.
I wanted to see who clanked what, when it happened, and how the feed reacted.
I wanted to know if attention itself could be mapped.
Then the patterns appeared:
Creators moved markets with a single cast.
Memes became liquidity events.
Replies turned into swaps.
Coins stopped looking like assets - they looked like mirrors of liquid narratives.
That’s when it clicked:
If tokens are born in social feeds, then social feeds are the real market data.
Issuing a token is easy.
Understanding why it moves - the memes, updates, partnerships, and conversations - that’s the hard part.
So I built data that follows that pattern: to see how narratives form, and to act before the market does.
Social data → onchain data.
Attention → action.
We don’t buy from charts; we buy from feeds.
Share Dialog
A meme, a name, a coin, a moment - and suddenly the feed catches fire.
Something small flips into movement. Everyone feels it, but no one measures it.
I’ve been obsessed with that exact moment - where a post becomes a chart, where culture turns into capital.
We all see it happening.
We just never had a clean way to read it.
Checkr began as a curiosity during the clanker wave with a small dashboard.
I wanted to see who clanked what, when it happened, and how the feed reacted.
I wanted to know if attention itself could be mapped.
Then the patterns appeared:
Creators moved markets with a single cast.
Memes became liquidity events.
Replies turned into swaps.
Coins stopped looking like assets - they looked like mirrors of liquid narratives.
That’s when it clicked:
If tokens are born in social feeds, then social feeds are the real market data.
Issuing a token is easy.
Understanding why it moves - the memes, updates, partnerships, and conversations - that’s the hard part.
So I built data that follows that pattern: to see how narratives form, and to act before the market does.
Social data → onchain data.
Attention → action.
We don’t buy from charts; we buy from feeds.
We scroll, we see who’s posting, we check if it’s legit - then we swap.
Checkr.social makes that visible.
Attention consistently leads price.
We’ve all known this, but never had the measurement.
Most signal gets buried under spam, airdrop bait, and farmed engagement.
Checkr strips all of that out. It extracts the movement.
Every datapoint goes through a process:
collect posts from Farcaster + Twitter mentioning a Base coin
remove spam, airdrop bait, and inorganic engagement
compute engagement, influence, and mindshare
normalize results across both ecosystems
output one unified metric: attention
This reveals the invisible line where feed activity becomes real market data.
This is the biggest update in Checkr so far.
For six months, attention lived in two worlds:
Farcaster: early signal, experiments, builders
Twitter: mass reach, liquidity, meme amplification
Different cultures, same market.
But separated data meant a fragmented view.
Now Checkr merges everything:
One attention score per token.
One truth layer for the social market.
Attention deltas, mention growth, and price movement now sit side-by-side.
You can literally watch a meme turn into a market.
It’s the cleanest picture of narrative movement you can get.
Each token now has a full narrative timeline - not just charts.
Token pages show:
how posts align with price movement
which creators actually moved attention
social momentum (attention z-score)
early vs late hype detection
attention vs price speed
narrative shifts in real time
We don’t need more price charts.
We need context - the story behind the move.
Token pages turn a coin into something readable.
The Social Market chart links posts to price movement.
Hover, and you see the post, the platform, the creator, and the impact - the exact moment liquidity started forming.
It’s the closest you can get to watching a narrative form in real time
Momentum shows how fast a coin's attention grows compared to the last 24 hours.
When momentum rises, attention is up - even if price isn’t (yet).
Coins with similar momentum curves often rotate together, revealing early trend clusters before charts react.
This is where traders get early edge.
Coins don’t move alone - people move them.
Vague “influence scores” are useless. Farming likes means nothing.
Checkr now attributes actual attention movement to specific creators.
It shows:
who sparked the narrative
who amplified it
who rotated into something new
who consistently moves markets (even with small accounts)
Some creators dominate entire token ecosystems - and when they shift focus, attention (and liquidity) follows.
Checkr makes influence quantifiable.
You can finally trace how a post becomes an onchain transaction.
The Alpha Trend chart compares attention and price:
green: price
orange: attention
And here’s the key:
When attention rises before price, there’s a big probability price follows.
This is where the real alpha sits.
It’s the earliest possible signal that a narrative is turning into a market.
Premium unlocks the tools that matter:
attention/price divergence
early trend detection
high-confidence signals
narrative acceleration windows
This is the part traders pay for. Premium is available to anyone holding 50M $CHECKR.
Coins aren’t just financial instruments - they’re social interfaces.
Narratives are markets now, and feeds are where they form.
Checkr is built for that world.
It’s the social Bloomberg of crypto - the dashboard for the attention economy.
A way to watch culture turn into capital.
A way to see how conversation becomes coordination, and coordination becomes liquidity.
Attention was the missing chart.
Now it isn’t.
We scroll, we see who’s posting, we check if it’s legit - then we swap.
Checkr.social makes that visible.
Attention consistently leads price.
We’ve all known this, but never had the measurement.
Most signal gets buried under spam, airdrop bait, and farmed engagement.
Checkr strips all of that out. It extracts the movement.
Every datapoint goes through a process:
collect posts from Farcaster + Twitter mentioning a Base coin
remove spam, airdrop bait, and inorganic engagement
compute engagement, influence, and mindshare
normalize results across both ecosystems
output one unified metric: attention
This reveals the invisible line where feed activity becomes real market data.
This is the biggest update in Checkr so far.
For six months, attention lived in two worlds:
Farcaster: early signal, experiments, builders
Twitter: mass reach, liquidity, meme amplification
Different cultures, same market.
But separated data meant a fragmented view.
Now Checkr merges everything:
One attention score per token.
One truth layer for the social market.
Attention deltas, mention growth, and price movement now sit side-by-side.
You can literally watch a meme turn into a market.
It’s the cleanest picture of narrative movement you can get.
Each token now has a full narrative timeline - not just charts.
Token pages show:
how posts align with price movement
which creators actually moved attention
social momentum (attention z-score)
early vs late hype detection
attention vs price speed
narrative shifts in real time
We don’t need more price charts.
We need context - the story behind the move.
Token pages turn a coin into something readable.
The Social Market chart links posts to price movement.
Hover, and you see the post, the platform, the creator, and the impact - the exact moment liquidity started forming.
It’s the closest you can get to watching a narrative form in real time
Momentum shows how fast a coin's attention grows compared to the last 24 hours.
When momentum rises, attention is up - even if price isn’t (yet).
Coins with similar momentum curves often rotate together, revealing early trend clusters before charts react.
This is where traders get early edge.
Coins don’t move alone - people move them.
Vague “influence scores” are useless. Farming likes means nothing.
Checkr now attributes actual attention movement to specific creators.
It shows:
who sparked the narrative
who amplified it
who rotated into something new
who consistently moves markets (even with small accounts)
Some creators dominate entire token ecosystems - and when they shift focus, attention (and liquidity) follows.
Checkr makes influence quantifiable.
You can finally trace how a post becomes an onchain transaction.
The Alpha Trend chart compares attention and price:
green: price
orange: attention
And here’s the key:
When attention rises before price, there’s a big probability price follows.
This is where the real alpha sits.
It’s the earliest possible signal that a narrative is turning into a market.
Premium unlocks the tools that matter:
attention/price divergence
early trend detection
high-confidence signals
narrative acceleration windows
This is the part traders pay for. Premium is available to anyone holding 50M $CHECKR.
Coins aren’t just financial instruments - they’re social interfaces.
Narratives are markets now, and feeds are where they form.
Checkr is built for that world.
It’s the social Bloomberg of crypto - the dashboard for the attention economy.
A way to watch culture turn into capital.
A way to see how conversation becomes coordination, and coordination becomes liquidity.
Attention was the missing chart.
Now it isn’t.
>400 subscribers
>400 subscribers
2 comments
good day to read about $checkr https://tomu.xyz/attention-moves-first-the-market-follows
social feeds are the real market data i’m building the terminal for it wrote an article on the new @checkr update https://tomu.xyz/attention-moves-first-the-market-follows