At the height of this meme the biggest streamers and influencers in the world were spamming the “Pog” emoji.
It was as universal as the 😂 emoji or literally any apple emoji.
Only this emote was made by the meme community in 2010.
There’s so much content and lore and I really can’t believe it’s never been done before. $pog
All fees going to the creator of the meme @gootecks
Pog is a generational meme. The meme can be used in many contexts.
And many derivs can be made from it.
It’s also where the term “poggers” came from which combines Pepe with him.
We are working to get him onboarded but this meme is super free at these levels.
You can literally ask grok if that’s his github, the projects on that GitHub coincide with what’s he’s posted on Twitter and it’s the same @.
All fees going to him @gootecks
4C6AJgFMYw9dUCAYkZEHrZjFKdateH2mXybwejaRpump
Pog champ used to be one of the biggest memes in the world.
It was the most used emote on Twitch for years before it got removed for political reasons.
There's never been a main runner for this and @gootecks has never been onboarded.
I couldn't find a wallet but I found his github which grok confirmed was his.
100% fees going to him. Feels like a classic meme that deserves to run.
Everyone is chasing AI agents.
Very few are paying attention to the infrastructure that makes them safe.
That’s why I’ve been looking into $ATBASH.
While most projects focus on building smarter agents, @ATBASHai is building the layer that sits between an AI agent and irreversible actions like moving funds, accessing sensitive data, or executing critical workflows.
As AI agents become more autonomous, security, compliance, and accountability become much bigger problems.
What makes this interesting is that @Scobleizer recently featured the team in a discussion around AI agent safety, a topic that has been getting increasing attention across the industry after @a16z highlighted the importance of trust and governance layers around AI systems.
This isn’t just another AI meme with a chatbot attached.
They’re building around a real problem that every serious AI deployment will eventually face.
At around a $700k market cap, it feels like one of the more overlooked AI infrastructure plays on Base.