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Gemini Picks 3 Best Crypto Presales to Weather the Market Crash
Crypto Trends

Gemini’s Top 3 Best Crypto Presales to Weather the Market Crash

by admin September 23, 2025


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

Crypto markets are on shaky ground right now, with the latest pullback stirring fresh talk of a wider crash.

The Fear & Greed Index sits at 40, a level that screams caution but also hints at plenty of room for upside if sentiment flips. Historically, these oversold zones often lay the groundwork for the next big leg up.

Source: CoinMarketCap

Macro factors add fuel to the debate. The Fed is expected to deliver more rate cuts, a shift that usually lifts risk assets. Q4 has also earned a reputation for fireworks in past crypto cycles, and big players like VanEck are still targeting $BTC at 180K in 2025.

That kind of projection keeps long-term conviction alive, even while short-term volatility shakes weak hands out.

The best crypto presales, meanwhile, offer a different kind of shelter in stormy markets. Unlike listed tokens that swing with every headline, presale prices only move upward – and in set stages. That incremental growth makes them attractive in downturns.

Gemini has spotlighted three it believes can thrive: Bitcoin Hyper ($HYPER), Snorter Token ($SNORT), and Nexchain ($NEX). Here’s why they’re drawing attention.

1. Bitcoin Hyper ($HYPER) – Bitcoin’s Layer-2 Solution To Unleash Its Potential

Bitcoin remains the market’s anchor, but it still moves like a dinosaur when it comes to usability. High fees and slow block times make $BTC great for holding – but clunky for anything else. That gap is exactly what Bitcoin Hyper ($HYPER) will aim to close.

Integrating Solana’s Virtual Machine (SVM), Bitcoin Hyper will create a Layer-2 environment for Bitcoin – not a sidechain, but a parallel execution layer that inherits Bitcoin’s security while running at Solana speed.

The process is straightforward: bridge $BTC in, mint in on Hyper’s Layer-2, use it instantly for trading, staking, and DeFi, then bridge back out when needed. Transactions settle back to the Bitcoin Layer-1 via zero-knowledge proofs, keeping the system trustless and synced.

The upgrade unlocks use cases long out of reach for Bitcoin: the best meme coins, dApps, and cross-chain DeFi. Sub-second transactions and near-zero fees mean $BTC can finally power culture as well as capital.

Investors are already paying attention: the presale has pulled in $17.7M, with $HYPER priced at $0.012965 and staking yields of up to 65% APY. Check out our guide on how to buy Bitcoin Hyper before you head to the presale.

If ETFs and institutional inflows push $BTC higher, Gemini says Bitcoin Hyper stands to capture the upside as Bitcoin’s long-awaited execution layer.

Visit the Bitcoin Hyper presale website today.

2. Snorter Token ($SNORT) – Telegram Bot Meets Meme Utility

Telegram trading bots have gone from niche tools to a full-blown sector on Solana, with names like BONKBot and Trojan Bot pulling in serious volume.

The bot market itself is currently valued at $47.43B, and forecast to surge to $200B+ by 2035, fueled by retail traders looking for faster, cheaper ways to snipe new launches.

Snorter Token ($SNORT) plans to carve out a spot by merging meme coin branding with powerful bot utility. Built to run natively inside Telegram, Snorter aims to make the chat app a one-stop trading suite.

You’ll be able to swap, snipe, set stop-losses, copy top wallets, and track your portfolio in real time – all without leaving Telegram.

Speed and cost are its main weapons. Sub-second swaps fire through Solana’s custom RPC infrastructure, while $SNORT holders can cut trading fees to just 0.85%, cheaper than rival bots (1.5%).

Security also plays a big part in this trading bot. Closed beta tests showed an 85% success rate in flagging rug pulls and honey pots.

So far, Snorter’s presale has raised $4M+. Tokens are sat at $0.1053 with 116% APY staking available, and just 27 days remain before the presale ends. Discover how to buy Snorter Token in our step-by-step guide.

By blending Solana meme coin culture with trading infrastructure, Gemini claims $SNORT is positioning itself for both hype and utility.

Ready to jump in? Join the Snorter Token presale today.

3. Nexchain ($NEX) – AI-Built Layer-1 With Daily Rewards

AI has become one of crypto’s fastest-growing verticals, with VanEck forecasting crypto AI revenues to reach a base case of $10.2B by 2030. Nexchain ($NEX) is leaning into that narrative by building the first blockchain designed entirely by AI.

The chain runs on a hybrid consensus model that merges Proof-of-Stake with AI-driven algorithms, giving it both speed and adaptability. Benchmarks show throughput at 400K transactions per second, with average fees of just $0.001. And unlike older chains, Nexchain’s infrastructure is engineered to be eco-friendly from day one.

Utility spans the full Web3 stack: smart contracts, staking, payments for AI services, and cross-chain interoperability. But the standout feature is tokenomics. $NEX holders earn a daily share of 10% of all gas fees collected across the network, creating a built-in revenue stream that rewards long-term holding.

So far, the presale has raised $10.4M+. At a current price of $0.108, early buyers are looking at a 278% spread against the $0.30 listing price.

For investors chasing the AI wave while securing real yield, Nexchain offers a unique blend of hype and fundamentals. Gemini points to how that mix has made $NEX a presale to watch closely this year.

Want to discover more? Take a look at the Nexchain ($NEX) whitepaper.

As always, this article is not financial advice. Crypto and presales carry inherent risks. Please do your own research and never invest more than you can afford to lose.

Authored by Aidan Weeks, Bitcoinist – https://bitcoinist.com/gemini-best-crypto-presales

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.



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September 23, 2025 0 comments
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The DOGE Subcommittee Hearing on Weather Modification Was a Nest of Conspiracy Theorizing
Product Reviews

The DOGE Subcommittee Hearing on Weather Modification Was a Nest of Conspiracy Theorizing

by admin September 17, 2025


The popularity of these conspiracies may also be on the rise in right-wing spaces. Some MAHA figureheads, including Nicole Shanahan, have shared geoengineering content promoting conspiracy theories, while Marla Maples, Donald Trump’s ex-wife, told Fox News in July that she helped Florida’s anti-weather modification bill pass. (Bill Gates’ track record of funding solar geoengineering research has undoubtedly helped fan some of these flames.)

Doricko, the Rainmaker CEO, has spent much of the past year testifying in state legislatures that were considering vague anti-geoengineering bills that would have also banned cloud seeding. In May, he told WIRED that he and his team had spoken in front of 31 state legislatures. Education, he says, is key to getting people on board with the technology.

“I think there’s some cohort of people that believe that, you know, Joe Biden is actually a lizard person,” he says. “I think that a lot of people aren’t quite that far along, but are very concerned about chemtrails, probably. Showing them farms that are greener than they otherwise would have been with testimonies from those farmers—that’s probably the way that we’re gonna win hearts and minds.” (Doricko told WIRED last week that in recent months, his company has had “interest, curiosity, and excitement” from various state governments, both Democratic and Republican, in using cloud seeding to enhance water supply. “The education that we had the opportunity to do ultimately I think assuaged a lot of reasonable people’s concerns.”)

There is one additional type of human-caused shift in the world’s weather that played an outsize role in the hearing: climate change. Greene and other Republican lawmakers repeated many climate denial talking points and bad framing around climate science, including the idea that carbon dioxide is good for the planet because it is plant food. There were multiple mentions of beach houses owned by Barack Obama and Al Gore as a way of illustrating supposed hypocrisy about sea level rise. One of the witnesses called by the House majority works at an organization with a long history of questioning established climate science; he claimed in his testimony that there is “uncertainty as to exactly how much influence humans have exerted” over the global rise in temperature—a take that is out of line with mainstream science.

“My view is that this is mainly a way of saying there are secret forces at work that are making your life miserable, and everything bad is due to these secret forces,” says Dessler. “When in reality, it’s not secret forces, it’s climate change and it’s these other things that are hurting people.”

But even a whole hearing dedicated to a conspiracy theory grab bag may not be enough for some. On X, a popular anti-geoengineering community was alight with posts about the hearing—including many critical of the experts and their findings. “This was a scripted show to protect the government’s weather control agenda,” one moderator’s post reads. “Why no independent voices?”



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September 17, 2025 0 comments
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Google's AI Weather Model Nailed Its First Major Storm Forecast
Gaming Gear

Google’s AI Weather Model Nailed Its First Major Storm Forecast

by admin August 26, 2025


While generative AI tools that primarily amount to slop generators grab most of the attention in the artificial intelligence space, there are occasionally some actually useful applications of the technology, like Google DeepMind’s use of AI weather models to predict cyclones. The experimental tool, launched earlier this year, successfully managed to provide accurate modeling of Hurricane Erin as it started gaining steam in the Atlantic Ocean earlier this month.

As Ars Technica first reported, Hurricane Erin—which reached Category 5 status and caused some damage to the island of Bermuda, parts of the Caribbean, and the East Coast of the United States—provided Google DeepMind’s Weather Lab with the first real test of its capabilities.

According to James Franklin, former chief of the hurricane specialist unit at the National Hurricane Center, it did quite well, outperforming the National Hurricane Center’s official model and topping several other physics-based models during the first 72 hours of modeling. It did ultimately fall off a bit the longer the prediction effort ran, but it still topped the consensus model through the five-day forecast.

While Google’s model was impressively accurate in the first days of modeling, it’s the latter ones that are most important to experts, per Ars Technica, as days three through five of the model are the ones that officials count on to make decisions on calls for evacuation and other preparatory efforts. Still, it seems like there may be some promise in the possibility of AI-powered weather modeling—though the sample size here is pretty small.

Most of the current gold standard modeling techniques used for storm prediction use physics-based prediction engines, which essentially try to recreate the conditions of the atmosphere by factoring in things like humidity, air pressure, and temperature changes to simulate how a storm might behave. Google’s model instead pulls from a massive amount of data that it was trained on, including a “reanalysis dataset that reconstructs past weather over the entire Earth from millions of observations, and a specialized database containing key information about the track, intensity, size and wind radii of nearly 5,000 observed cyclones from the past 45 years.”

According to Google, it tested its model on storms from 2023 and 2024, and found that its five-day prediction managed to predict the path of a storm with more accuracy than most other models, coming about 140km or 90 miles closer to the ultimate location of the cyclone than the European Centre for Medium-Range Weather Forecasts’ ensemble model, which is considered the most accurate model available. Now it can point to a storm that it tracked in real-time as proof of concept, though there is no reason to think AI tools like this will completely displace the other approaches at this stage.



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August 26, 2025 0 comments
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