New tasks loaded on the ship! 🔥
Join the portal, invite friends & complete tasks to earn points.
Whoever's going to hold the #1 spot in the leaderboard will earn $500. 💰
10,000+ waitlist signups and 60,000+ tasks completed is a strong signal that users are looking for a better prediction market experience.
Excited to see how @tradeonpear keeps building from here.
We are humbled by the response so far.
10,000+ users on the waitlist
60,000+ tasks completed
This is moving faster than we expected.
Join the waitlist → https://t.co/fTi5mUjeuX
We are humbled by the response so far.
10,000+ users on the waitlist
60,000+ tasks completed
This is moving faster than we expected.
Join the waitlist → https://t.co/fTi5mUjeuX
Everyone thinks they’re right.
Very few are willing to prove it.
And even fewer get to watch their calls play out against other people in real time.
Trading shouldn’t be a solo game.
Why trade alone?
Most traders love sharing wins, but few are willing to put their predictions on the line.
That's why social trading matters. @tradeonpear is making markets feel more collaborative instead of isolated.
Everyone thinks they’re right.
Very few are willing to prove it.
And even fewer get to watch their calls play out against other people in real time.
Trading shouldn’t be a solo game.
Why trade alone?
Love seeing projects like @tradeonpear focus on the UX layer. Prediction markets are growing fast, but discovery and execution are still fragmented. Bringing everything into one feed just makes sense.
Prediction markets are exploding.
$26B in monthly volume. 13x growth in under a year. 865K+ active users.
But the way people trade them hasn’t caught up.
You’re still switching between apps, trading in isolation, missing the full picture.
Pear brings it all into one place.
One account. One feed. Every market.
Many projects offer tokens, but leave control in their own hands.
The point @CNPYNetwork is making is much more important that real ownership comes when the community can determine the chain's future.
Prediction markets are exploding.
$26B in monthly volume. 13x growth in under a year. 865K+ active users.
But the way people trade them hasn’t caught up.
You’re still switching between apps, trading in isolation, missing the full picture.
Pear brings it all into one place.
One account. One feed. Every market.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.
A few years ago, I had an idea for a small project.
I spent weeks thinking about it, waiting for the "right time" to start.
That perfect moment never came.
One day I stopped planning and just shipped the first version, even though it was far from perfect.
Looking back, taking action taught me more than all the time I spent overthinking.
Progress usually starts when we stop waiting for permission and trust ourselves enough to begin.
Thanks @RallyOnChain for encouraging people to share these moments of ownership and initiative.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.
Blockchain can verify transactions.
But can you understand if a job is really good?
Suppose an AI agent does a contract or completes a freelance job on your behalf.
Payment can be seen on-chain.
But who will judge whether the quality of work is as expected?
This is where @GenLayer idea stands out to me.
They are building a system where instead of relying on a single decision maker, multiple validators evaluate the issue with the help of AI and arrive at a collective decision.
As the use of AI agents increases, it will not be enough just to complete transactions correctly.
Arriving at a fair decision will also become equally important.