If Bitcoin Is Mirroring Gold, Bitcoin Hyper Could Be the 100x Amplifier

bitcoinistPubblicato 2025-06-22Pubblicato ultima volta 2025-06-22

Introduzione

Gold finally broke free back in 2024, launching into a clean parabolic run after weeks of quiet buildup. According to...

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

Gold finally broke free back in 2024, launching into a clean parabolic run after weeks of quiet buildup. According to well-known crypto trader DonAlt, Bitcoin is now doing something eerily similar.

He describes $BTC’s current price action as a carbon copy of gold’s pre-breakout behavior. And if history is about to rhyme, then Bitcoin could be moments away from its own explosive move.

That’s great for long-term holders. But what about the ones looking for more?

The people who missed the early Bitcoin wave and are now scanning the horizon for something that can move faster and hit harder when BTC lights up again?

That’s where Bitcoin Hyper ($HYPER) comes in. A new crypto project built specifically for this kind of moment.

Bitcoin and the Gold Echo

When gold finally cleared $2,1K in 2024 after weeks of grinding resistance, it triggered a vertical surge, climbing over 60% to its current price above $3,3K.

Now, crypto analyst DonAlt believes Bitcoin is setting up for the same kind of breakout.

DonAlt youtube gold breakout in 2024.
Source: TechnicalRoundup YouTube Channel

With $BTC hovering around $102K, he says it’s consolidating just below $110K, retesting the same level multiple times – just like gold did before its parabolic move.

DonAlt told his 66K YouTube followers that Bitcoin has become ‘that kind of asset,’ one that wears traders down with fakeouts before erupting upward.

If the pattern holds, $BTC isn’t just heading for a new all-time high – it’s preparing to go ‘up only,’ just like gold did.

What is Bitcoin Hyper ($HYPER)?

Bitcoin Hyper ($HYPER) is a Bitcoin Layer 2 – not a sidechain, not a shortcut. It’s a full-speed, full-power execution layer that finally gives Bitcoin what it’s been missing for years: scalability.

If Bitcoin is the slow, steady base layer of value, Bitcoin Hyper is where the action happens. Fast payments, meme coins, DeFi apps, and instant swaps – it all comes alive on Hyper.

Bitcoin Hyper presale.

Built on the Solana Virtual Machine (SVM), Bitcoin Hyper combines the speed and efficiency of Solana with the trust and weight of Bitcoin. That means sub-second transactions, near-zero fees, and cross-chain compatibility right out of the box.

Hyper unlocks a whole new world where Bitcoin isn’t just a store of value – it’s fuel for culture, gaming, NFTs, and everything else the degens demand.

It’s built for builders, traders, and dreamers. And everything on the network runs on one token: $HYPER.

Whether you’re staking, paying for transactions, or launching a new meme coin, you’ll need $HYPER to do it. It’s more than a token, it’s your key to the ecosystem.

With true interoperability across Bitcoin, Solana, Ethereum, and beyond, this Layer 2 isn’t just about tech.

It’s about unleashing Bitcoin’s full potential – with speed, utility, and meme power combined. And at just over one cent per token, that potential is still dirt cheap.

Why You Should Buy $HYPER Now

$HYPER has already raised over $1.5M in the presale. Right now, you can buy this token for just $0.011975.

Buy Bitcoin Hyper in the presale phase.

That’s not even two cents. And yet price forecasts suggest this coin could reach as high as $0.32 by the end of 2025.

Let’s break that down. If you bought $1K worth of HYPER today at the presale price, you’d get around 83,5K tokens.

If the price hits the 2025 high forecast of $0.32, your stack would be worth over $26,7K. That’s a 2570% gain – 26x from where we are now.

But it gets better with staking. While Bitcoin Hyper offers a dynamic APY that can vary over time, let’s take a modest 20% as a baseline for this example.

If you stake your 83,5K tokens for one year, you could earn around 16,7K extra tokens in rewards, bringing your total to just over 100K $HYPER.

At today’s price, those extra tokens alone are worth around $200. But if the price hits that $0.32 forecast, your full stack would be worth over $32K.

That’s the power of getting in early. Low entry, solid yield, and real potential for exponential upside. You don’t need a six-figure portfolio. You just need timing and conviction.

Bitcoin Hyper is built for this exact kind of moment – when Bitcoin heats up, and everyone starts looking for the 100x shadow runner.

The Amplifier Waiting to Ignite

Bitcoin may be gearing up for its next big move, echoing gold’s explosive 2024 run. But history shows the real gains often come from the smaller, faster assets riding the wave.

Bitcoin Hyper is built to be that amplifier – a high-speed Layer 2 positioned for the spotlight. And with the crypto presale still open, it’s one of the few rockets left on the launch pad.

This article is for informational purposes only and doesn’t constitute financial advice. Always do your own research (DYOR) before investing in crypto.

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.

As a crypto writer, Bogdan’s responsibilities are split between researching and writing articles and entertaining the team with his humor bordering on the politically incorrect, an aspiring Bill Burr, if you will. Thanks to his 12+ years of writing experience in just as many fields, including tech, cybersecurity, modelling, fitness, crypto, and other topics-that-shall-not-be-named, he's become a genuine asset to the team. While his position as a senior writer at PrivacyAffairs thought him valuable lessons about the power of self-management, his entire writing career was and is an exercise in self-improvement. Now, he's ready to sink his teeth into crypto and teach people how to take control of their own money on the blockchain. With fiat as an eternally devaluing currency, Bitcoin and altcoins seem like the best-fitting alternative for Bogdan. Bogdan’s biggest professional accomplishment, aside from securing a position as a main writer for Bitcoinist, was his 5-year run as a writing manager at Blackwood Productions, where he coordinated a team of four writers. During that time, he learned the value of teamwork and that of creating a working environment that breeds efficiency, positivity, and friendship.

Letture associate

Claude Accused of Becoming Dumber by the Entire Internet, Anthropic Steps In to Reveal: It’s Not the Model That’s Tricking You

When users complained that Claude was "getting dumber," the root cause wasn't the AI model itself. In an official blog post, Anthropic clarified the critical difference between two key settings in Claude Code: Model and Effort. Model refers to the core "brain"—the fixed, trained weights of a specific AI (like Sonnet, Opus, or Fable). Changing the Model addresses *capability* ("can it do this?"), but its knowledge is static post-training. Effort, however, controls the AI's *approach and thoroughness* for a specific task. A higher Effort level instructs Claude to read more files, run tests, perform verification, and complete multi-step reasoning before responding, significantly increasing its "work output" for that job. Conversely, low Effort leads to quicker, less thorough replies. This distinction explains the March 2024 uproar where users experienced a sudden drop in Claude's performance. The cause was not a model change but Anthropic quietly lowering the *default* Effort setting from "high" to "medium" to reduce latency, which was later reverted. The key insight is that a smaller, capable model (like Sonnet) on high Effort can often outperform a larger, more powerful model (like Opus) on low Effort for many tasks. The article provides a practical troubleshooting framework: if Claude makes an error, first check the context and instructions. If it seems to skip necessary steps or validations, increase Effort. If it diligently attempts the task but fails conceptually or makes consistent factual errors despite good context, then consider switching to a more capable Model. The takeaway is a shift in focus: effective AI programming is less about always choosing the "strongest" model and more about intelligently *orchestrating* models and effort levels—acting like a project manager to assign the right "brain" with the right level of diligence for each job, optimizing both results and cost.

marsbit1 h fa

Claude Accused of Becoming Dumber by the Entire Internet, Anthropic Steps In to Reveal: It’s Not the Model That’s Tricking You

marsbit1 h fa

Will the Ethereum Foundation Evolve into a 'Mascot'? Diversified Organizations Are Fragmenting Its Functions

The Ethereum Foundation (EF) is undergoing significant internal turmoil and functional erosion. Following its largest-ever layoff of 54 staff (20% of its workforce) and a major organizational restructuring announced in June, its Protocol Support Team has been officially dissolved. This comes alongside the high-profile resignation of key figures like co-executive director Xiaowei Wang, bringing senior departures this year to at least eight. Criticism of EF's rigid structure, opaque decision-making, and perceived lack of a clear value narrative for ETH has intensified within the community. The layoffs have catalyzed the emergence of independent, non-profit organizations like Ethlabs and Ethereum Institutional, founded by former EF researchers and members. These entities are now taking on core functions such as protocol research/development and institutional adoption, effectively fragmenting the EF's traditional leadership role. Concurrently, EF's security team is adapting to technological change, deploying specialized AI agents to audit Ethereum's codebase, which successfully discovered a critical vulnerability (CVE-2026-34219). While EF states AI complements rather than replaces researchers, it signals a potential future shift in its operational model. Faced with these challenges—internal restructuring, talent drain, the rise of competing organizations, and AI integration—the Ethereum Foundation appears to be stepping back from a central commanding role. Analysts and community observers speculate it may increasingly transition towards a symbolic "ecosystem mascot" function, while decentralized initiatives drive Ethereum's future growth and institutional adoption.

marsbit1 h fa

Will the Ethereum Foundation Evolve into a 'Mascot'? Diversified Organizations Are Fragmenting Its Functions

marsbit1 h fa

Nearly a Hundred Players Rush into Embodied Data: With 4.47 Billion Yuan in Financing in One Year, Who Can Really Make Money by 'Selling Data'?

The domestic embodied AI data industry has attracted nearly 100 players, with 70 focused on data collection and 27 on data infrastructure. In the past year, 15 independent embodied data service providers raised approximately 4.47 billion yuan. Despite this growth, the sector remains early-stage, fragmented, and faces significant challenges. Data collection methods are diverse, categorized into four main routes: teleoperation of real robots, human demonstration without a robot (using motion capture, exoskeletons, etc.), simulation synthesis, and distillation from internet videos. Most companies (43%) adopt hybrid approaches, combining multiple routes, as no single method can meet all training needs. Teleoperation alone is pursued by 31% of players, often by state-owned platforms and robot companies, while newer firms favor asset-light, no-hardware human demonstration. Independent data service providers now form the largest player group (40%), indicating the emergence of a distinct industry segment rather than just a subsidiary function for robot makers. Two-thirds of all players are "embodied-native" startups, while one-third are companies that pivoted from fields like AI data annotation, which are more prevalent in the data infrastructure layer. Current annual industry capacity is estimated at 1.6-1.8 million hours plus 70-80 million data points, with a short-term goal to increase this 15-20 fold within 1-3 years. Data collection factories are spread across 20 provinces in China, concentrated in the Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta regions. Financially, the 4.47 billion yuan raised in the past year pales compared to the 43.8 billion yuan raised by the broader embodied intelligence sector in just the first half of 2026, highlighting that data remains a less "sexy" bet for investors. The 15 funded independent providers show clear stratification: a top tier led by a unicorn (Lightwheel Intelligence, 3.1 billion yuan), a middle tier of 11 firms raising tens to hundreds of millions, and an early-stage tier of 3 companies. Sixty-nine investment institutions have participated, but none have made concentrated bets, reflecting uncertainty about viable business models. Over half of these funded companies are less than a year old, most are at pre-A or A rounds, and profitability remains largely unproven. In summary, the embodied data industry has become an independent track creating jobs and local economic activity. However, it is still nascent, with unformed consensus, unsolved problems, and unproven business models. The coming 1-2 years will be a critical validation window to see if companies can build sustainable, profitable businesses purely by "selling data."

marsbit4 h fa

Nearly a Hundred Players Rush into Embodied Data: With 4.47 Billion Yuan in Financing in One Year, Who Can Really Make Money by 'Selling Data'?

marsbit4 h fa

Trading

Spot
活动图片