$CRAWL is worth watching because the project is now advancing three things simultaneously BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump compute expansion, staking incentives, and training for the next-generation Queen model. These three updates correspond to the network’s data production capacity, the incentive mechanism for its token and NFTs, and the iteration of its core product. However, the compute expansion figures are test results reported by the team, the staking data reflects participation interest, and Queen v5 is still an upcoming product milestone. First, compute expansion directly impacts data production efficiency. The team says Crawlnet has tripled its parallel crawler capacity, supporting up to 1,000 crawlers. In testing, the number of accepted pages read per minute increased by 4–5x. This means Queen could have access to a larger and fresher dataset for future training. If these efficiency gains hold up in sustained operation, CRAWL’s core value would extend beyond simply training a crypto-focused AI model. It would be building a production pipeline that continuously collects industry data, trains models, and iterates on them. Second, the staking system is beginning to test the community’s real commitment. The team reported that approximately $205,000 in assets was staked within the first four hours of launch. This included 145 crawl.md NFTs, representing 15% of the collection, and 41.75 million CRAWL tokens, approximately 4.3% of the total supply. The initial staking period has a three-day lock, after which participants can unstake at any time and receive their assets and rewards. More importantly, NFTs and tokens are now integrated into the same incentive mechanism, linking holders’ participation to the network ecosystem. However, short-term staking only demonstrates early participation interest. Whether it translates into long-term retention will depend on the source of rewards, continued participation rates, and what happens to capital after the lock expires. Third, Queen v5 is the next key milestone to validate. The ultimate value of compute expansion must be reflected in model iteration. Whether the new version can leverage a larger dataset and perform better on real-world tasks is the real test for this infrastructure upgrade. For now, the team has announced that Queen v5 is about to begin training. Until training is completed, the mo…
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$CRAWL market cap returning to $5M this time feels quite different from the first time it reached a $5M market cap. BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump The first time, the market was buying the story of “can a Crypto-native LLM actually be built?” Now, the market is s
$CRAWL is worth watching because the project is now advancing three things simultaneously BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump compute expansion, staking incentives, and training for the next-generation Queen model. These three updates correspond to the network’s data production capacity, the incentive mechanism for its token and NFTs, and the iteration of its core product. However, the compute expansion figures are test results reported by the team, the staking data reflects participation interest, and Queen v5 is still an upcoming product milestone. First, compute expansion directly impacts data production efficiency. The team says Crawlnet has tripled its parallel crawler capacity, supporting up to 1,000 crawlers. In testing, the number of accepted pages read per minute increased by 4–5x. This means Queen could have access to a larger and fresher dataset for future training. If these efficiency gains hold up in sustained operation, CRAWL’s core value would extend beyond simply training a crypto-focused AI model. It would be building a production pipeline that continuously collects industry data, trains models, and iterates on them. Second, the staking system is beginning to test the community’s real commitment. The team reported that approximately $205,000 in assets was staked within the first four hours of launch. This included 145 crawl.md NFTs, representing 15% of the collection, and 41.75 million CRAWL tokens, approximately 4.3% of the total supply. The initial staking period has a three-day lock, after which participants can unstake at any time and receive their assets and rewards. More importantly, NFTs and tokens are now integrated into the same incentive mechanism, linking holders’ participation to the network ecosystem. However, short-term staking only demonstrates early participation interest. Whether it translates into long-term retention will depend on the source of rewards, continued participation rates, and what happens to capital after the lock expires. Third, Queen v5 is the next key milestone to validate. The ultimate value of compute expansion must be reflected in model iteration. Whether the new version can leverage a larger dataset and perform better on real-world tasks is the real test for this infrastructure upgrade. For now, the team has announced that Queen v5 is about to begin training. Until training is completed, the mo…
$CRAWL is rallying, currently up 38% in 24 hours!
While I needed to realize some gains, unfortunately I sold almost all of my positions 2 days ago. I'm still in debt in total and my networth is at deficit so trying to be more conservative for a while. I still fully believe solana:C1mBfBoDkwWfd6uTFZp62ARHLjeVp3bDpCDMfMZtPngE is #1 launchpad on all of Solana. To claim that, it needs a runner that's SPECIAL TO solana:C1mBfBoDkwWfd6uTFZp62ARHLjeVp3bDpCDMfMZtPngE tech. $HAMSTER, you can buy only on Pump or fomo, but it's a meme everyone can launch, you can launch that on Pump, you can launch that on Pons, you can launch that on Stocker, you can launch that on Argus, doesn't matter. You can launch on everywhere, doesn't matter, it's a common mem…
Exited all my positions, because I need to reset and play small, did so many mistakes in last 2 days, I know myself and I would go downhill if I didn't sell all. Coins I'm still holding: solana:7CTRbkV1tVuq1f59pRxT1Pb2W5AHG4gM9FMH4rGzKiXv - Waiting for the catalyst as I know this is a 100% guaranteed play. solana:HzYCHqAN2uoHGRnL9v2ChCfFQX3bvJuJd5zu2Hd5MZQy - Going insanely viral, it's only 5 hours old, IRL cracked dev supporting the coin, I think it goes to millions when people get convinced this is going to millions. I'm just holding it for the day or two because I believe it willl play out. Projects I exited but I fully believe in: solana:C1mBfBoDkwWfd6uTFZp62ARHLjeVp3bDpCDMfMZtPngE - Will become #1 launchpad of Solana eventually if team doesn't give up. $CAT - I think this should be the main runner on Hooked, has a great CTO team. 93mEUXxZNyWGqp6ZHsEgfVLrSGeyUYaBu1b8h7s6uWJn BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump - Definitely can change a lot in crypto and fill the knowledge gap, it's a great hold, and a tech that's really useful in the sea of larps. solana:DEW9dSN6QpWyNthphCpMmAbZP1Q4cEKR9xQXAri98WDP - I will always be an SI bull, I hate that I sold this, I just needed to clear my head. solana:CscZaq5twomhUkvCY8Jdd1tge32L4Yj9FbkFFEZQpump - You will soon see Russia is lying, I'll probably buy this one back after confirmation of a case in another country, should come in 2-3 days. solana:7KEPApdbBMByrmqihz3bht2uMhFQcatjfSFQCKq66kH3 - Dev spoke with me in the first days, I know she's a real good dev, she's ex-Near and Near just followed the project, it's a privacy project better than many larps, if you believe in NullMask you should also believe to DarkSwap.
$SI $10m → $70m in 4 days $Human $200k → $6m in 2 hours $baton $2m → $16m in 4 days $Agency $1m → $30m in 1 day $swordcat $200k → $5m in 5 days $JEANPHIL $0 → $10m in 1 day $PAID $8m → $50m in 2 days $CRAWL $1m → $8m in 3 hours $HIGGS $900k → $6m in 1 day What's next?
$CRAWL market cap returning to $5M this time feels quite different from the first time it reached a $5M market cap. BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump The first time, the market was buying the story of “can a Crypto-native LLM actually be built?” Now, the market is s
About $CRAWL If we eventually see a stronger Queen, a continuously expanding crawler network, external developers building products on top of Queen or its datasets, and eventually real users and token demand, then CRAWL’s valuation logic could shift from AI concept speculation toward Crypto-native AI infrastructure. So, the next key focus will be the speed and quality of product delivery.
Discovered a wallet address that bought $21.7K worth of $CRAWL, acquiring a total of 19M tokens. It has already sold for a profit of $17.3K, with the remaining position worth $44.7K, showing an unrealized profit of +$42.84K. More info: Win Rate: 42.59% Total PnL: +$5.65K (+2.51%) Bal: 3.15 SOL ($379.49) Wallet address:
The most promising outcome for $CRAWL is to evolve from a community driven Crypto AI training experiment into an infrastructure project with specialized datasets, an open-source model, and an external developer ecosystem. Its potential value lies not just in the Queen model itse
$CRAWL market cap returning to $5M this time feels quite different from the first time it reached a $5M market cap. BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump The first time, the market was buying the story of “can a Crypto-native LLM actually be built?” Now, the market is starting to price in “it is actually being trained continuously, and the training system is scaling.” The biggest change is that Queen has started evolving from a concept into a continuously iterated product. When we first analyzed CRAWL, Queen v1 was still a newly launched experiment. Now it has moved into subsequent versions, with the model size, training data, and crawler network all continuing to grow. More importantly, the model is now public, and the training process is no longer just a one-time announcement. It is starting to form a cycle of crawler → data → training → model → next training. So this rally is not simply because there is another new model. The market is starting to see that CRAWL is actually executing on its original thesis. That’s why I think the direct catalysts for the market cap returning to $5M this time are mainly the launch of Queen v1, the rapid progress of subsequent versions, and renewed market attention. The view expressed in the previous post also further strengthened this narrative: CRAWL could eventually evolve from a community-driven AI training experiment into infrastructure with specialized datasets, an open-source model, and an external developer ecosystem. So what the market is betting on now is no longer just “can CRAWL build an AI model?” The real bet is:Can CRAWL become a Crypto-native AI training network? Queen is only the model itself. The potentially valuable part is the data production network being built around it. Crawlers continuously collect Crypto-native data, the data goes into datasets and is then used to train Queen, while creator fees can pay for the compute required for crawling and training. If this cycle continues to expand, CRAWL may ultimately own not just a model, but an AI infrastructure stack of:Data Collection → Dataset → Training → Model → Developer Applications So from a fundamental perspective, I think it is clearly stronger than it was the first time it reached $5M. But one thing needs to be clear:Execution has strengthened, but Economic Value has not yet been proven. We can already confirm that the crawlers, datasets…
So many BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump copies. Just like solana:C1mBfBoDkwWfd6uTFZp62ARHLjeVp3bDpCDMfMZtPngE, it started a whole new meta. If a project is causing so many copies, it means it's ceiling is insanely high. solana:7VertkgF9KLhxxJXHX6uaWuoYZTP9LdGj2bWmVXVpump was a good example, also created a lot of copies and went to 30M. I'm bullish on all three. (but Higgspad can stole the spotlight on last one)
$CRAWL (CA BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump) Snipers have 3.8%, no insiders per devsnightmare. FartmanSacks, eugene, hexiecs, Frank are top holders. A cluster has 2.7% on Bubblemaps, another has 2.6%. CEX cluster has 37.5%, Binance funded wallets have 18.1%, Coinbase 16.5%, Kraken 3.8%, bitvavo 3.6%, Bybit 2.1%, Kucoin 2%, Mexc 1.5%, Robinhood 1.5%. Top 10 holders have 13.9%, 7.23k holders with an average bag at $290. Nfa
solana:CyDJMENR6Sbtwj4erhuARNa5cNbeK92GpNAGyXLVpump CyDJMENR6Sbtwj4erhuARNa5cNbeK92GpNAGyXLVpump Dev is a serial rugger + scammer. He didn't have "Eliza" or "OpenClaw" or "Nous" on his bio 10 days ago, he just added to rug, and changed name. He didn't work at any of those companies. He also have 60+ rugged coins, those are not the coins he shared for trading, all of them are his launches. He's larping as a proper dev, and he will rug the coin + there is no Jellyfish tech, it's something he made up from his ass, if you check the website you'll see Jellyfish is working slower than BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump. Not fudding, trying to save your money.
Discovered a wallet address that bought $3.47K worth of $CRAWL, acquiring a total of 8.4M tokens. The current position is worth $43.9K, showing an unrealized profit of +$40.43K. More info: Win Rate: 31.46% Total PnL: +$110.3K (+10.64%) Bal: 13.56 SOL ($1.65K) Wallet address:
$CRAWL 2.6m dyor BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump okx wallet: Use a swarm of crawlers to scrape crypto and Web3 websites, then use the collected content to train an open-source large language model from scratch that has only been exposed to
The most promising outcome for $CRAWL is to evolve from a community driven Crypto AI training experiment into an infrastructure project with specialized datasets, an open-source model, and an external developer ecosystem. Its potential value lies not just in the Queen model itself, but in the network of data production, training, and applications built around it. However, what the market can confirm today is mainly that its early products and mechanisms are up and running. What will truly determine how far it can go is whether Queen can demonstrate unique capabilities, whether external developers are willing to adopt it, and whether these product activities can ultimately generate real demand for the token. If model capabilities and external adoption both make progress, CRAWL's valuation logic could shift from AI concept speculation toward the market pricing in the potential of Crypto-native AI infrastructure. On the other hand, if the project only continues expanding its crawler network and training data without delivering better model performance or attracting real users, its long-term potential may struggle to translate into sustainable token value. What I will be watching most closely is not how many webpages CRAWL can scrape, but whether it can train a Queen model that Crypto users genuinely find worth using. Chart:
Discovered a wallet address that bought $6.98K worth of $CRAWL, acquiring a total of 15.6M tokens. It has already sold for a profit of $17.5K, with the remaining position worth $25.4K, showing an unrealized profit of +$35.94K. More info: Win Rate: 21.09% Total PnL: +$37.3K (+2.18%) Bal: 0.105 SOL ($12.58) Wallet address:
$CRAWL 2.6m dyor BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump okx wallet: Use a swarm of crawlers to scrape crypto and Web3 websites, then use the collected content to train an open-source large language model from scratch that has only been exposed to crypto-related content. CRAWL is the associated token, used to pay for generating crawlers and to distribute a share of the fees. Here’s how the mechanism works: The crawlers do the work. Each crawler is a headless browser powered by a DeepSeek agent that navigates real websites, reading whitepapers, documentation, governance pages, code, and other content. It keeps only pages relevant to crypto and Web3 and discards everything unrelated. The data is then sent to “Queen.” All the content collected by the crawlers is cleaned, deduplicated, and tokenized before being aggregated into Queen’s training dataset. Queen is the model they intend to train. Users who want to participate can burn approximately 1 million CRAWL tokens to generate a crawler registered under their name. Twenty percent of the creator fees are distributed equally among crawler owners every 24 hours, with payments made in SOL. The remaining 80% is used to cover crawling costs and GPU training. The website allows users to watch in real time which page each crawler is reading. Once training is complete, the model weights are planned to be published on Hugging Face, with contributors credited. In short, CRAWLNET can be understood as an experiment in “publicly crawling crypto websites → accumulating training data → training a specialized small model,” combined with a token mechanism in which users burn tokens to obtain a share of crawler ownership and receive a portion of the fees.