2026-01-24 00:33:38
Victoria, Seychelles, January 23, 2026 – MEXC, the world's fastest-growing digital asset exchange and a pioneer of true zero-fee trading, successfully concluded its "Zero-Fee Gala," attracting over 120,000 participants and generating more than $8 billion in futures trading volume.
The enthusiastic participation demonstrates strong user interest in the event and deepening trust in MEXC's commitment to creating meaningful value for its global trading community.
The promotion ran from December 22, 2025, to January 21, 2026 (UTC), combining multiple incentive mechanisms to address different user segments and trading preferences. The promotion featured a total prize pool of $2 million, including high-value rewards such as a Cybertruck, a 1 oz gold bar, and an iPhone 17.
It also offered zero fees on spot and select futures trading for XRP, DOGE, SOL, and BNB. Additionally, users could access USDT staking opportunities with returns of up to 600% APR and reward pools totaling 500,000 USDT, available to both new and existing users.
The success of the "Zero-Fee Gala" underscores MEXC's commitment to placing user interests first through pioneering zero-fee trading and comprehensive incentive programs. As a leading global digital asset exchange, MEXC will continue to enhance platform services and deliver value-driven initiatives that provide users with a cost-effective, secure, and seamless trading experience.
Founded in 2018, MEXC is committed to being "Your Easiest Way to Crypto." Serving over 40 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, everyday airdrop opportunities, and low trading fees.
Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding.
MEXC Official Website｜ X ｜ Telegram ｜How to Sign Up on MEXC
For media inquiries, please contact MEXC PR team: [email protected]
Risk Disclaimer:
This content does not constitute investment advice. Given the highly volatile nature of the cryptocurrency market, investors are encouraged to carefully assess market fluctuations, project fundamentals, and potential financial risks before making any trading decisions.
:::tip This story was published as a press release by Blockmanwire under HackerNoon’s Business Blogging Program. Do Your Own Research before making any financial decision
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2026-01-24 00:25:34
Every entrepreneur talks about vision, resilience, and execution. But beneath all of these traits lies a quieter, less visible skill that ultimately determines success or failure: decision-making under uncertainty.
Markets shift, data is incomplete, and outcomes are rarely guaranteed. The leaders who endure are not those who wait for certainty—but those who learn how to think clearly without it.
According to Alessio Vinassa, serial entrepreneur and business advisor, uncertainty is not an obstacle to leadership—it is the environment in which leadership exists.
“If you wait for perfect information, you’re already behind,” Vinassa says. “Entrepreneurship is the practice of making meaningful decisions with incomplete data.”
Unlike corporate environments with established processes and historical benchmarks, entrepreneurial decision-making often happens in real time. Founders must decide when to hire, when to pivot, when to say no, and when to move faster—all without knowing how markets, customers, or competitors will respond.
Vinassa emphasizes that uncertainty is not a phase entrepreneurs outgrow.
“The idea that uncertainty disappears as companies grow is a myth,” he explains. “It simply changes shape.”
At early stages, uncertainty revolves around product fit and survival. Later, it shifts toward leadership, culture, expansion, and reputation. The cognitive challenge remains the same: choosing a direction without guarantees.
Many founders describe their decisions as “gut-driven,” but Vinassa argues that effective intuition is built—not innate.
“Strong instincts are trained through exposure, reflection, and pattern recognition,” he says. “They are not emotional impulses.”
Successful entrepreneurs develop internal frameworks that help them evaluate risk, weigh trade-offs, and act decisively without becoming reckless. These frameworks allow leaders to remain calm while others freeze or overreact.
One of the greatest challenges in uncertain environments is information overload. Data, opinions, forecasts, and external pressure can cloud judgment.
Vinassa highlights the importance of filtering.
“Not all information deserves equal attention,” he notes. “Good decision-makers know what to ignore.”
Experienced leaders learn to prioritize first-order effects over speculation, focusing on what directly influences outcomes rather than chasing every possible scenario. This discipline reduces cognitive fatigue and improves consistency.
One mental model Vinassa frequently references is the distinction between reversible and irreversible decisions.
“Most decisions are not permanent,” he explains. “Treating them as such creates unnecessary paralysis.”
\ Reversible decisions—such as testing a new strategy or experimenting with a process—should be made quickly and adjusted as needed. Irreversible decisions—those affecting reputation, ethics, or long-term trust—require deeper consideration.
Understanding this distinction allows entrepreneurs to move faster without becoming careless.
Uncertainty often triggers fear, ego, or urgency. Vinassa believes emotional regulation is a critical but underestimated leadership skill.
“You’re not just managing a business—you’re managing your own psychology,” he says.
Effective decision-makers create distance between emotion and action. They pause, reflect, and seek perspective before committing. This does not mean avoiding risk, but approaching it with clarity rather than anxiety.
Confidence in leadership does not come from knowing outcomes—it comes from trusting one’s process.
“Confidence is the belief that you can respond well, even if the decision doesn’t work out,” Vinassa explains.
Entrepreneurs who view decisions as experiments rather than verdicts are better equipped to adapt. Failure becomes feedback, not identity.
As organizations grow, decision-making must scale beyond the founder. Vinassa stresses the importance of building cultures that support distributed judgment.
“Strong leaders don’t make every decision,” he says. “They build systems that produce good decisions.”
Clear principles, aligned incentives, and psychological safety allow teams to navigate uncertainty together rather than bottlenecking leadership.
Over time, entrepreneurs who master decision-making under uncertainty gain a powerful advantage. They move faster, recover quicker, and inspire confidence in others.
“People follow leaders who can stay grounded when outcomes are unclear,” Vinassa notes. “Calm is contagious.”
In volatile markets, this steadiness becomes a competitive differentiator.
Decision-making under uncertainty is not glamorous, but it is foundational. It shapes strategy, culture, and outcomes more than any single idea.
As Vinassa puts it: \n “Ideas matter, but decisions determine destiny.”
\n Alessio Vinassa is a serial entrepreneur, business strategist, and thought leader focused on leadership, adaptability, and building resilient businesses in fast-changing global markets. His work centers on mentorship, innovation, and helping entrepreneurs navigate complexity with clarity and purpose.
For more information on Alessio and his work, visit his website or follow him across social media, including Facebook, Instagram, LinkedIn, X, Youtube, and Medium.
:::tip This story was published as a press release by Blockmanwire under HackerNoon’s Business Blogging Program. Do Your Own Research before making any financial decision
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2026-01-24 00:03:04
How are you, hacker?
🪐 What’s happening in tech today, January 23, 2026?
The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Apple launched the Macintosh Computer in 1984, President Nixon Announced End to the grueling Vietnam War in 1973, HackerNoon published its first story! in 2016, and we present you with these top quality stories. From How to Add the AWS WAF CAPTCHA to an Angular Application to How to Enter the Proof of Usefulness (PoU) Hackathon, let’s dive right in.
By @aimodels44 [ 7 Min read ] An explainer on why brute-force AI fails at grand strategy games, and how hybrid LLM architectures enable long-horizon strategic reasoning. Read More.
By @proofofusefulness [ 5 Min read ] No pitch decks. No mockups. Just code that works. Here is your step-by-step guide to entering HackerNoons $150K Proof of Usefulness Hackathon. Read More.
By @nfrankel [ 6 Min read ] In this post, I tackled the issue of integrating checked exceptions with lambdas in Java. Read More.
By @rodrigokamada [ 6 Min read ] In this article, we will create a WEB application using the latest version of Angular and integrate the AWS WAF CAPTCHA challenge to protect against bots. Read More.
🧑💻 What happened in your world this week?
It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️
ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME
We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love, The HackerNoon Team ✌️
2026-01-23 19:32:20
\ The medical industry is finally stopping the charade of treating software as a tool and starting to treat AI agents as colleagues. We have moved past the era of passive Large Language Models (LLMs) that act like fancy encyclopedias. The current landscape is defined by agentic AI, digital entities that do not just suggest; they execute.
If 2024 was about the "ambient scribe" that sat in the corner recording conversations, 2026 is about the "hireable agent" that navigates the brutal bureaucracy of modern medicine. This shift is backed by staggering market momentum.
The global agentic AI in healthcare market is projected to skyrocket at a compound annual growth rate (CAGR) of 45.56% through 2030, reaching nearly $5 billion as organizations move from "pilot purgatory" to full-scale deployment.
For decades, the back office was a graveyard of efficiency.
A clinician would see a patient, a scribe would draft a note, and days later, a human coder would try to reconstruct the clinical logic to satisfy an insurance company. This delay has become a financial death sentence.
Under the latest CMS Interoperability and Prior Authorization rules, if you do not defend your clinical reasoning at the moment of care, you are essentially leaving your wallet open for a payer audit.
Enter the hireable agent. These are not static apps; they are autonomous systems structured around planning, action, and memory. They understand the "why" behind a diagnosis in real time.
"We are defining agentic AI as systems that can plan autonomously and take actions to meet goals," Moghis Uddin, CEO at AlethianAI, told me. This perspective highlights a fundamental change in the tech stack. While a doctor explains a treatment plan, the agent is already cross-referencing the One Big Beautiful Bill Act (OBBBA) and aligning the clinical narrative with 2026's aggressive coding standards.
Data is no longer the bottleneck. Every health system is drowning in it. The real scarcity in 2026 is context. Clinicians do not need more numbers; they need to know why those numbers matter for the person sitting in front of them.
Agentic systems are filling this gap by acting as the connective tissue across fragmented records. Instead of a doctor clicking through eight screens to find a lab result from three years ago, the agent surfaces it because it recognizes a pattern of disease progression. This is not just automation; it is "hybrid intelligence."
AlethianAI notes that "agents are smarter. They're proactive, capable of making suggestions before you ask for them, and they accomplish tasks across applications.” This moves the needle from identifying a disease to identifying "missing patients," the ones who would otherwise drift out of the care pathway because a human was too busy filling out forms to follow up.
There is a persistent anxiety that these agents will render medical staff obsolete. The reality on the ground looks different. We are seeing the emergence of the AI-literate coder and the augmented nurse. AI and automation in the revenue cycle are expected to generate up to $360 billion in annual savings by streamlining these high-friction touchpoints.
Instead of chasing doctors for clarifications on illegible notes, billing teams are now denial strategists. They audit the AI and handle complex escalations that require emotional nuance or ethical weight that an algorithm cannot provide. As the industry evolves, the focus has shifted toward "Agentic-AI" as a software system that can autonomously perform specific tasks, making decisions based on data and learning over time.
The most immediate impact of hireable agents is the end of the "denial spiral." In the old world, payers used AI to deny claims faster than humans could write them. In 2026, providers are fighting fire with fire. Agentic partners create an ironclad audit trail at the point of care. They ensure that the correct workflow is also the easiest one to follow, making compliance a byproduct of care rather than a hurdle to it.
Healthcare has finally realized that it does not need a new hero. It needs better tools for the heroes it already has. By shifting AI from a "product you buy" to a "workforce you hire," the industry is finally reclaiming its time.
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2026-01-23 18:31:32
Building a loyal Instagram audience used to feel like a full-time job. Between content creation, editing, engagement, and managing collaborations, growth always came last on my to-do list. But like many creators, I hit a wall. My content was getting better, but my audience wasn’t growing at the same pace.
That’s when I decided to try https://www.pathsocial.com/ and see if it could help.
After months of experimenting with different strategies and platforms, I decided to try AI Instagram growth for 90 days. I approached it like a campaign, not a shortcut. This is what I learned—and how I went from stuck to scaling.
\
Before discovering Path Social, I had 3,200 followers. I was averaging around a 2.1% engagement rate, but reaching new audiences was hit or miss. My Reels were performing well, but my posts rarely showed up on explore. My niche - wellness and mindful living - was a growing trend, but there were so many other creators targeting the same eyeballs.
And my most significant problem? Discovery.
No matter what I did: hashtags, shares, giveaways - I could not figure out how to get consistent access to the right audience.
\
Initially, I was skeptical. I had witnessed the harm bots can do to accounts: ghost followers, shadowbans, and inauthentic engagement in general. What intrigued me about Path Social was their hybrid model of AI-based audience targeting + real humans involved in the process.
They were not convincing people to engage with bots or mass follow. They were providing targeted discovery of followers.
\
After signing up, I completed a thorough onboarding form. I answered a lot of questions about my niche, important hashtags, competitor accounts, and even a few brands that I wanted to partner with. This gave Path Social some context for more precise targeting.
I also made sure my content library was optimized:
Then I waited.
\
The first sign that something was working? My story views nearly doubled.
From there, engagement followed. In week one, I gained 230 new followers. Week two brought in another 300. But what stood out most wasn’t the number—it was the relevance.
People DM’d me about posts I’d published weeks earlier. Comments were longer, more thoughtful. It was clear: this was the right kind of audience.
\
Followers: +3,480
Engagement rate: 2.1% → 3.4%
Shares: +61%
Saves: +42%
Brand DMs: 5 new pitch inquiries
Story Replies: +98%
My reach finally matched my content quality.
\
The Path Social team didn’t just run traffic—they curated it. That was the difference. The AI system filtered potential followers by interest and behavior. The human side helped guide those choices based on feedback and performance.
It was like working with a talent scout for my audience.
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Don’t think “set and forget.” You want clear goals. In my case, more engagement and brand collabs.
When a new user lands on your page, you have just one chance. Make checks that your bio, highlights, and best pieces of content speak to that user.
When your new audience starts coming in, pay attention to what they are responding to. I learned that quick wellness how-to type content performed much better than aesthetic posts. This is what informed my calendar for the future with content.
Without content, growth is just wasted traffic. During my campaign, I maintained a 3x weekly posting and daily stories.
Not everything will spike overnight. But over time, the trend line matters more than the peaks.
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What impressed me? The inbound brand interest.
Because of the increased engagement and niche clarity, two eco-friendly beauty brands reached out about partnerships. One of those collaborations turned into a long-term ambassadorship.
Followers are the entry point. Real value comes from what they do after they follow.
\
If you’re a creator who’s burnt out from chasing the algorithm, I can say this with full honesty: Path Social helped me reset my strategy.
It didn’t replace my effort—it focused on it.
With the right tools, consistent content, and a clear voice, growth doesn’t have to feel random. For me, Path Social wasn’t a growth hack—it was a growth partner.
I’d recommend it to any creator ready to take themselves seriously. Because the numbers matter, but the people behind them matter more.
:::tip This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program.
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2026-01-23 17:25:09
For those who aren't aware, Mend Renovate (aka Renovate CLI aka Renovate) is an Open Source project for automating dependency updates across dozens of package managers and package ecosystems, 9 different platforms (GitHub, GitLab, Azure DevOps and more), and boasts support for tuning its behaviour to fit how you want dependency updates.
