ChatGPT’s $360 Solana Price Prediction Fuels Best Solana Meme Coins like Snorter Token

bitcoinistPublished on 2025-10-02Last updated on 2025-10-02

Abstract

Solana gained nearly 60% between August 3 and September 18, with 26% of that coming in just 10 days when...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Solana gained nearly 60% between August 3 and September 18, with 26% of that coming in just 10 days when the token blew past its long-term resistance around $220 in the second week of September.

That said, after creating a new swing high of $253, Solana quickly plummeted nearly 25% in the following week, leading many to believe the earlier rally was nothing more than a fakeout.

However, a strong run-up like Solana’s is almost always followed by a healthy pullback, which then sets the stage for further upside. And that’s exactly what we’re seeing now.

Read on for a crisp Solana price prediction. We’ve kept our technical analysis as objective as possible by calling in the big guns of AI – we asked ChatGPT for its expert take on where Solana could be headed next.

Plus, we’ll also tell you how you can make the most of this upcoming Solana rally. Spoiler alert: It’s by buying Snorter Token ($SNORT), arguably the best Solana meme coin in the current cycle.

Solana’s Trendline Bounce Signals More Upside Ahead

ChatGPT pointed out that Solana’s recent pullback came exactly at a major upward-sloping trendline, which has been the single biggest factor pushing Solana higher.

For example, this very trendline fueled a 60% rally back in June-July and also supported Solana’s August run-up, which saw the token reach for the magic $250 mark.

ChatGPT's Solana price prediction: $360 after bouncing off an upward-sloping trendline

Since touching this trendline, Solana has already bounced over 15% in the last week.

If previous moves from this trendline are anything to go by, Solana could easily reach $300, which also happens to be just above its ATH.

What’s even better is that ChatGPT’s analysis has been confirmed by leading crypto analysts.

For instance, Ali Martinez recently shared his Solana price prediction, suggesting the token ‘could now be ready for $320-$360.’

Why the Real 1000x Opportunity Lies Beyond Solana

Here’s the kicker now: while Solana can potentially double in the next few months, it’s still not the best crypto to buy right now, especially if you’re after those eye-popping gains.

Why? Because in crypto, the movement of a mainstream token like Solana often sends low-cap altcoins connected to it to the moon.

These cryptos usually start off under the radar and very low-priced, meaning even one chunky move can churn out thousands of percentage returns.

We saw this recently with tokens like $TUT and $TST, which rode BNB’s rally, and something similar could be brewing with Snorter Token ($SNORT).

Snorter Token Could Revolutionize the Meme Coin Trading Space

What is Snorter Token? $SNORT is the native cryptocurrency of the Snorter Bot – an advanced Telegram-based trading bot built to end the dominance of big-money players in the meme coin space.

Right now, deep-pocketed investors hold all the advantages: insider information, sophisticated algorithms, and premium tools that let them scoop up liquidity in new meme coins before everyday traders even get a chance.

As a result, retail participants are locked out of the most profitable stage of meme coin farming, aka those early entries where percentage returns are the highest.

Snorter Bot flips the script. It allows you to set buy/sell limit/stop orders in advance. The moment liquidity kicks in for a token, the bot executes your orders automatically within milliseconds.

This levels the playing field, putting everyday traders on par with whale-sized investors.

Snorter Offers Unmatched Ease of Use and Security

Even though Snorter is designed to go toe-to-toe with advanced trading tools, don’t mistake it for a complicated platform. In fact, it’s quite the opposite.

Since it runs on Telegram, all you need to do to place buy/sell orders is send commands through a familiar chat interface.

Even if you’re new to Telegram, it’s as simple as sending messages on WhatsApp, making Snorter ideal even for beginners in meme coin trading.

On top of that, Snorter Bot also offers copy trading. This lets you connect your wallet to a pro trader’s account, so every trade they make is automatically mirrored on your own account, without you lifting a finger.

Snorter Bot features.

While this is a handy feature, as it gives you insights into how professionals handle drawdowns, profit runs, and trade analysis, it’s important to choose a proven performer carefully.

More importantly, we strongly believe you should think of this feature as a learning tool rather than a free money-printing machine, which it is not.

Snorter also comes packed with essential safeguards to ensure a hassle-free trading experience.

You’ll be protected against all major on-chain threats, ranging from front-running and sandwich attacks to rug pulls and honeypots.

Could $SNORT Be the Next Crypto to Explode?

The meme coin market is now worth a whopping $73B, having expanded over 56% in just the last 12 months.

Naturally, a new project that aims to restore parity and boost retail participation in this booming segment stands a strong chance of becoming the next 1000x crypto.

According to our Snorter Token price prediction, a $100 investment today could grow to $880 by the end of 2025, with the token potentially reaching $0.94.

Even better, if you hold on longer, you could be looking at a 1,700% ROI by the end of 2026, as $SNORT may climb to as high as $1.92.

Currently in presale, $SNORT has already raised over $4.2M from early investors, with each token available for just $0.1067.

Buying Snorter Token not only gives you front-row seats to the bot’s growth but also unlocks a powerful suite of exclusive perks, including:

  • Reduced trading fees of just 0.85% (vs. 1.5% for non-holders)
  • No daily sniping limits
  • Access to advanced analytics
  • Staking rewards currently yielding a massive 113%

Interested? Check out our step-by-step guide on how to buy Snorter Token.

Don’t just trade, outsmart the whales – join the Snorter revolution today.

Disclaimer: The crypto market is super volatile. Kindly do your own research before investing. None of the above is financial advice.

Authored by Krishi Chowdhary, Bitcoinist – https://bitcoinist.com/chatgpt-solana-price-prediction-fuels-best-solana-meme-coins-snorter-token

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.
Krishi Chowdhary

Krishi Chowdhary

Follow

As a crypto writer, Krishi splits his time between decoding the chaos of the markets and writing about it in a way that doesn’t put you to sleep. He’s been at it for nearly two years in the crypto trenches. Yes, he regrets missing the magnificent rallies that came before that (who doesn’t!), but he’s more than ready to put his money where his words are. Before diving headfirst into crypto, Krishi spent over five years writing for some of the biggest names in tech, including TechRadar, Tom’s Guide, and PC Gaming, covering everything from gadgets and cybersecurity to gaming and software. When he’s not scouring and writing about the latest happenings in crypto, Krishi trades the forex market while keeping crypto in his long-term HODL plans. He’s a Bitcoin believer, though he never lets that bias creep into his writing.

Full Profile

Related Posts

Bitcoin Could Hit $200K This Q4 As Bitcoin Hyper Sets Out to be One of 2025’s Best Altcoins.

Bitcoin Could Hit $200K This Q4 As Bitcoin Hyper Sets Out to be One of 2025’s Best Altcoins

54 minutes ago
crypto altseason ethereum eth bitcoin btc solana sol

Crypto Market Reacts as U.S. Government Shutdown Begins, Can the Uptober Rally Survive?

1 hour ago
crypto

White House Pulls Pro-Crypto Quintenz’s Nomination To Lead CFTC Following Major Opposition – Report

4 hours ago
Dogecoin

Dogecoin Mining Gets $2.5M Boost From Trump-Linked Thumzup Media

5 hours ago
World Liberty Financial

World Liberty Financial’s (WLFI) Roadmap: A Debit Card And Tokenized Assets On The Horizon

6 hours ago
crypto

South Korea’s Crypto Scene Shrinks As Traders Flock Offshore: Report

8 hours ago

Related Reads

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1h ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1h ago

Token Inefficient, Economy Tokenless

marsbit1h ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1h ago

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1h ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1h ago

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1h ago

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit1h ago

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit1h ago

Trading

Spot
Futures
活动图片