$CRYSATL is live.
CRYSTAL reads every launch on Robinhood Chain and gives it a risk score out of 100, straight from the chain.
The token pays for the deeper part. Every paid deep check burns $CRYSTAL
CA: 0xFb7a0EE2951e33d17E54B12a1903d880b34E4f7e
https://t.co/kV4mEzdgcT
Privacy runner by @Zerotrace_so spawned on Pons:
$ZERO graduated in its first second: 35 wallets bought out the curve, snipers held 97%.
We read it at $57K: Low risk, 95/100. Jev said medium risk, 50% rug in 24h.
Launches like it peak at $4.7K on median of 25 658 same huge sniped tokens. $ZERO hit $2.97M 2.5 hours later. 52x.
https://t.co/6K7SdlG7zH
@cpupool You do realize that the token is on the Pons curve, right?
Until we complete the token migration to the Uniswap LP, DexScreener simply won't be able to index the token.
Fair question, here's our take.
The team holds about 1% of supply. That's a small stake, and it's what ties us to the product long after launch.
If we burned it, the people building Crystal would own nothing in it. That isn't more alignment, it's less.
Supply reduction is already built into the product: every Deep Check burns 46,630 $Crystal, so the more Crystal gets used, the more is burned.
Even our own risk score treats a dev buy under 3% as healthy.
How it works:
Buy $Crystal (on Pons) → 1.5% fee (on every trade) → Backend (servers · data · models) → Deep check (paid in $Crystal) → Burn (46,630 per check · to 0x…dEaD) → Supply (only goes down) → Buy $Crystal (on Pons)
$Crystal is now the access token for Deep Check on https://t.co/6K7SdlG7zH.
Every Robinhood Chain launch gets a free on-chain risk score, a verdict from Jev, and the 24h survival rate of similar launches.
Deep Check goes further. It reviews the project's X account history, checks that the website shows the right contract, and checks whether the code is original.
Each check burns 46,630 $Crystal straight to the burn address, verifiable on-chain. New wallets get 2 free checks in their first 48 hours.
CA: 0xFb7a0EE2951e33d17E54B12a1903d880b34E4f7e
$Crystal is now the access token for Deep Check on https://t.co/6K7SdlG7zH.
Every Robinhood Chain launch gets a free on-chain risk score, a verdict from Jev, and the 24h survival rate of similar launches.
Deep Check goes further. It reviews the project's X account history, checks that the website shows the right contract, and checks whether the code is original.
Each check burns 46,630 $Crystal straight to the burn address, verifiable on-chain. New wallets get 2 free checks in their first 48 hours.
CA: 0xFb7a0EE2951e33d17E54B12a1903d880b34E4f7e
Today spotted by CRYSTAL: $VEIL on Pons.
We full checked it at 00:53 UTC on 2 Oct, at a $56K cap: Low risk, 94 out of 100. Jev agreed.
16 minutes later it hit $2.63M. That is 47x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzcInl
Yes, this is the same Jev you've probably read about in many places,
and in our case, it has been trained and taught using data from tens of thousands of tokens.
How Jev works:
Jev is the second opinion on every token.
It gets exactly what the score gets: all 10 parameters, the chain state, the flags, how similar launches ended.
Then it answers two questions. Which risk level would you give? Will this be dumped or abandoned within 24 hours?
The answers come as probabilities, not a yes or no. Jev never moves the score, and when the two disagree you see both.
Spotted by CRYSTAL: $Suited on Pons.
We read it at 22:49 UTC on 29 Sep, at a $39K cap: Low risk, 95 out of 100. Jev agreed.
7 hours later it hit $2.00M. That is 51x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzcInl
Spotted by CRYSTAL: $QUANTA on Pons.
We read it at 19:17 UTC on 23 Sep, at a $57K cap: Low risk, 90 out of 100. Jev agreed.
25 hours later it hit $1.53M. That is 27x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzdgcT
On our Spotted posts:
CRYSTAL scores a launch within seconds. A deep check takes a minute. But we count each multiple from a later point: the first moment our records can prove the score.
From the real first look the numbers would be bigger. We show the ones we can defend.
Spotted by CRYSTAL: $PAIR on Pons.
We read it at 04:32 UTC on 30 Sep, at a $57K cap: Low risk, 90 out of 100 (farm launch flag). Jev agreed.
87 minutes later it hit $1.06M. That is 19x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzdgcT
Spotted by CRYSTAL: $OFY on Pons.
We read it at 18:08 UTC on 29 Sep, at a $25K cap: Low risk, 93 out of 100. Jev agreed.
57 minutes later it hit $2.31M. That is 94x.
Every launch on Robinhood Chain gets read the moment it goes live.
Spotted by CRYSTAL: $JOLLY on Pons.
We read it at 04:43 UTC on 23 Sep, at a $60K cap: Low risk, 97 out of 100. Jev agreed.
44 hours later it hit $3.91M. That is 65x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzdgcT
Spotted by CRYSTAL: $DOTS on Pons.
We read it at 17:25 UTC on 29 Sep, at a $56K cap: Low risk, 97 out of 100. Jev agreed.
41 minutes later it hit $1.31M. That is 23x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzcInl
Spotted by CRYSTAL: $BotBook on Pons.
We read it at 00:54 UTC on 30 Sep, at a $53K cap: Low risk, 100 out of 100. Jev agreed.
87 minutes later it hit $921K. That is 17x.
Every launch on Robinhood Chain gets read the moment it goes live.
https://t.co/kV4mEzcInl
The main build is done.
Live on https://t.co/6K7SdlG7zH:
a risk score for every launch, read from the chain
a live feed of Pons, Flap and Pools
Jev, a second opinion in probabilities
the deep check: website, X and code
the full methodology, public
Take a look and ask us anything.
How Jev works:
Jev is the second opinion on every token.
It gets exactly what the score gets: all 10 parameters, the chain state, the flags, how similar launches ended.
Then it answers two questions. Which risk level would you give? Will this be dumped or abandoned within 24 hours?
The answers come as probabilities, not a yes or no. Jev never moves the score, and when the two disagree you see both.