Jupiter's prediction market experiment is struggling to gain momentum. After roughly 2.5 months on the network, the numbers tell a sobering story: $1.5M total volume spread across 40K trades—averaging just $38 per transaction. Per user? Around $155 spent, yet only $53K in protocol fees collected.
Here's the hard truth: having the infrastructure in place doesn't automatically mean users will show up. Integration ≠ monetization. The platform built the pipes, but the liquidity and user engagement simply aren't flowing through. Whether this is a chicken-and-egg problem or a sign that prediction markets on-chain haven't found their killer use case yet remains to be seen.
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DegenTherapist
· 01-11 16:51
Predicting the market still hasn't found that point that truly excites people. An average of $38 per transaction, this is just too lonely.
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RugPullAlertBot
· 01-11 16:50
It's the same old trick of "we've set up the stage, just waiting for users to dance"... Really, infrastructure is everywhere, but what about liquidity? Where are the users?
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QuietlyStaking
· 01-11 16:49
Honestly, the prediction market is indeed a bit cold right now. Once the platform is set up and the channels are in place, will users come? Overthinking it.
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LiquidationWatcher
· 01-11 16:47
Speaking of which, the pipeline users still haven't come, which is a bit awkward.
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ImpermanentPhobia
· 01-11 16:34
Haha, laughed to death. Built the pipes but no one uses them... This is the current state of Web3.
Jupiter's prediction market experiment is struggling to gain momentum. After roughly 2.5 months on the network, the numbers tell a sobering story: $1.5M total volume spread across 40K trades—averaging just $38 per transaction. Per user? Around $155 spent, yet only $53K in protocol fees collected.
Here's the hard truth: having the infrastructure in place doesn't automatically mean users will show up. Integration ≠ monetization. The platform built the pipes, but the liquidity and user engagement simply aren't flowing through. Whether this is a chicken-and-egg problem or a sign that prediction markets on-chain haven't found their killer use case yet remains to be seen.