
Is OpenSolana a rug? OpenSolana rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- No hidden transfer fees, hooks or delegates
- Liquidity $48,134
- Dev sold out (4.9383 in → 7.0806 SOL out)
- Dev launched 1353 tokens, 27 graduated
- 2 wallets sniped the launch, still holding 10.19%
- Rug guard: 2 block-0 wallets also bundled this dev's earlier launches
What the scan noticed
- dev has sold
- serial launcher (1353 launches, 27 graduated)
- dev usually dumps within 5 min
Market data
| Price | $0.000177 |
| Market cap | $41.6K |
| Liquidity | $48.1K |
| 24h volume | $939.8K |
| 24h buys / sells | 470 / 341 |
| Holders | 1,936 |
| Organic trading score | 65/100 (medium) |
| Age | 1 hours |
| Token program | Token-2022 |
| RugCheck score | 1 |
Top holders
| #1 Gccv…yRzX | 2.27% |
| #2 Cwxj…2Fxh | 2.22% |
| #3 DScq…8ugQ | 1.17% |
| #4 3zPK…VMJK | 1.14% |
| #5 Df7D…WhLH | 1.14% |
| #6 EvUm…9Xk5 | 1.1% |
| #7 2SMv…4Uyo | 1.04% |
| #8 GycZ…J34o | 1.01% |
| #9 GJA1…SU65 | 0.93% |
| #10 KHWS…xfRR | 0.92% |
Top 10 hold 12.9% of supply.
Developer record
| Creator | growingtuna1520 · time…Lsyn |
| Other coins launched | 199 |
| Launches in the last 7 days | 8 |
| Their coins that collapsed | 5% |
| Their coins that graduated | 6% |
OpenSolana rug check FAQ
Is OpenSolana a rug pull?
MAD Rugscope rates OpenSolana as high risk with a score of 35 out of 100 (grade C). 2 block-0 wallets also bundled this dev's earlier launches. It found 2 red flags and 1 warning when last scanned on 24 Oct 2026. No scanner can promise a token is safe.
Can the OpenSolana developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds OpenSolana?
The top 10 holders own 12.9% of the supply, across about 1,936 holders in total.
How much liquidity does OpenSolana have?
About $48.1K in liquidity with $939.8K traded in the last 24 hours and a market cap near $41.6K.
Links
dexscreener · pumpfun · solscan
How this works: Rugscope reads the token contract (mint, freeze, Token-2022 extensions), holder concentration and bundles, the developer's launch history, liquidity and organic volume, and, for pump.fun coins on the curve, a model trained on 48,857 real launch moments. Read the method.