Press Release
SnailSwap will be the dark horse for Defi’s decentralized track
Defi is a technical and economic model to implement the decentralized nature of blockchain more thoroughly. In the field of Defi, almost all traditional financial projects and old ICO projects have the opportunity to be demolished and rebuilt. It is this possibility that has made DEFI a trend again in 2020.
Decentralized exchanges are needed more than ever for future crypto assets. Decentralised exchanges are on the rise. Uniswap, the leader in Dex, has seen a lot of trading volume since its launch in September, but its weakness has been highlighted as the price of Ethereum has soared. To solve these problems, SnailSwap was born.

SnailSwap studied through the technical solution of cross-chain public chain, built the SNA public chain to solve the cross-chain support technology, made the cross-chain technology successfully realize asset transfer and data governance in DEX, broke through this difficulty, realized the cross-chain asset transfer and developed a number of pioneering projects.
SnailSwap has faster transaction speed, lower GAS fee, open and transparent on-chain data, and traceability of transactions. Smart contracts are used to automate market makers and capital flow pools. SNA and SNI are the platform tokens and incentive tokens of SnailSswap respectively. The maximum supply of SNA is 100,000,000 pieces, and there is no private placement, no pre-mining and full-mining issuance. Each of the 960 blocks produced 1,000 SNA. After the creation of the block, the production of each block decreased by 10 times, that is, each block produced 100 SNA, and then halved every two years. SNA has high scarcity, strong fairness, persistent deflation and infinite growth in value. The maximum supply of SNI is 50 million pieces, which will also be issued by full mining. Each block will produce 50 pieces of SNI and the daily output will be 7200 pieces, which will be used to motivate the ecological builders of SnailSwap.
Several of SnailSwap’s advantages will be the dark horse for Defi’s decentralized track:
1. Multi-party cross-chain
SnailSwap adopts cross-chain public chain technology and gradually supports cross-chain asset trading of mainstream public chains such as ETH, Ripple, EOS, TRON, etc., while Uniswap only supports application tokens of Ethereum public chain and has been able to run smoothly in multi-party cross-chain.
2. Low GAS consumption
As is known to all, the amount of GAS charged by Tai Fang is huge at present, which can reach hundreds of dollars when there is network congestion. Many ordinary users are rejected by the high amount of GAS, which is not applicable to multiple transactions. However, SnailSwp adds cross-chain function with the advantage of low GAS fee, allowing ordinary users to participate in the construction of digital currency ecology.
3. The general trend
Decentralized exchange is the trend of The Times, DeFi new financial new trend, ecological prospects, more reliable liquidity mining. Both platform tokens and incentive tokens adopt the issuing mechanism and halving mechanism without private placement or pre-digging. As a result, tokens continue to deflate and their value rises indefinitely
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
John Sweetser: Why Engineers Who Ask Better Questions Will Outperform Those Who Just Want Faster Answers
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Mission Architect John Sweetser of Littleton, Colorado, believes AI’s real value in engineering isn’t speed—it’s helping professionals think more carefully about the right problems.
From Overwhelmed to Intentional
Colorado, USA, Aug 10, 2026, ZEX PR WIRE — A chief engineer stood in front of a room full of technical leads, facing a decision that could define the next two years of a spacecraft program. The AI tool on his laptop had generated five design options in minutes, each backed by thousands of simulations. But which tradeoff mattered most? Which risk could the mission actually afford?
He closed the laptop. He asked his team to walk through the mission requirements again, one by one, until the constraints became clear. The decision took another two hours, but when they left the room, everyone understood not just what they were building, but why.
That chief engineer was John Sweetser, and the lesson stayed with him. AI can accelerate engineering work, but it cannot decide what matters.
The Mission Comes Before the Math
Sweetser started his career at Sandia National Laboratories working on modeling and simulation for national security applications. The work taught him a principle that would shape the next 15 years: the mission defines the problem, not the other way around.
“Early in my career at Sandia National Laboratories, I learned to think about the whole mission rather than individual components,” Sweetser says.
He spent five years there before moving to Lockheed Martin Space, where he worked on space vehicle design in the Space Protection Programs division. Later, at Sierra Space, he was promoted to Chief Engineer for Orbital Missions and Services, providing technical oversight for a defense portfolio and managing over 400 engineers. In 2025, he joined Muon Space as a Mission Architect, designing commercial and government space vehicles and conducting constellation performance analysis.
Across every role, the pattern held. Engineers who understood the mission made better decisions than those who only understood the tools.
AI Generates Options, Humans Make Decisions
Sweetser sees AI as a powerful accelerator, but one that requires judgment to use well. Engineering has always involved tradeoffs between performance, safety, cost, schedule, and risk. AI can surface those tradeoffs faster, but it cannot weigh them.
“AI can process an incredible amount of information, but it doesn’t understand the mission behind the decision,” Sweetser explains. “Engineering has always been about balancing performance, safety, cost, schedule, and risk. Those tradeoffs still require people who understand the bigger picture.”
He is more interested in how AI helps engineers ask better questions than in how quickly it generates answers. A simulation might run in seconds, but framing the right question can take days. That framing work is where experience, intuition, and mission knowledge come together.
“I’m more interested in how AI helps engineers ask better questions than how quickly it generates answers,” he says.
Copy This Framework: Five Phases to Use AI Without Losing Judgment
Sweetser’s approach to AI in engineering is built on intentionality. Here are the five phases individuals can follow to integrate AI tools without abdicating responsibility.
Phase 1: Define the mission before opening the tool. Write down the objective, constraints, and success criteria. If you cannot articulate the mission in three sentences, you are not ready to use AI.
Phase 2: Use AI to surface options, not to choose. Let the tool generate possibilities, run simulations, and identify patterns. Treat the output as a starting point, not a conclusion.
Phase 3: Ask whether the AI is helping you think or replacing your thinking. If you find yourself accepting results without questioning assumptions, step back. The tool should clarify tradeoffs, not obscure them.
Phase 4: Validate outputs against mission requirements. AI-generated designs can be technically sound but mission-inappropriate. Check every recommendation against the constraints that matter most.
Phase 5: Document your reasoning, not just your results. Future teams need to understand why a decision was made, not just what was decided. Capture the logic behind the tradeoffs.
Quick Wins: Three Ways to Start This Week
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Before running any simulation or analysis, write a one-paragraph mission statement and keep it visible.
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After receiving AI-generated results, spend ten minutes listing what the tool cannot know about your mission.
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Review one recent decision and ask whether speed replaced thoroughness.
Red Flags: Warning Signs You Are Letting AI Make Decisions
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You cannot explain why a particular option was chosen without referencing the tool’s output.
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Team members defer to the AI recommendation rather than debating the tradeoffs.
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You feel pressure to accept results quickly because the tool produced them quickly.
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Mission requirements are adjusted to fit AI-generated options instead of the other way around.
Trust Comes From Consistency, Not Speed
Sweetser has learned that trust in engineering leadership is built on predictable behavior, not rapid decisions. Teams want to know their leaders will listen, follow through, and base decisions on facts rather than opinions.
“Trust comes from consistency,” he says. “People want to know you’ll listen, follow through, and make decisions based on facts rather than opinions.”
That consistency matters even more in an era when AI can generate answers in seconds. The pressure to move fast can undermine the deliberation that good engineering requires. Leaders who slow down to ask the right questions build more confidence than those who race to implement the first plausible solution.
The Best Engineering Looks Uneventful
Sweetser believes the best engineering work often goes unnoticed because the hardest problems are solved before most people realize they existed.
“The best engineering often looks uneventful because the toughest problems were identified and solved long before anyone outside the team ever saw them,” he says.
That principle applies to AI as much as to any other tool. The engineers who use AI most effectively are not the ones who generate the most options or run the most simulations. They are the ones who know which questions to ask, which tradeoffs matter, and when to trust their judgment over the machine.
Apply This Framework to Your Work This Week
AI is changing how engineers work, but it is not changing what engineering is. The mission still comes first. The tradeoffs still require judgment. The decisions still belong to people.
This week, before you open your next AI tool, write down the mission. Define the constraints. Identify the tradeoffs that matter most. Use AI to explore options, but make the decision yourself. Document your reasoning so the next person understands not just what you built, but why.
The engineers who ask better questions will outperform those who only want faster answers. Start asking better questions today.
About John Sweetser
John Sweetser is a Mission Architect at Muon Space in Mountain View, California, working remotely from Littleton, Colorado. He has over 15 years of experience in aerospace engineering, including roles at Sandia National Laboratories, Lockheed Martin Space, and Sierra Space, where he served as Chief Engineer for Orbital Missions and Services. He holds a B.S. and M.S. in Mechanical Engineering from the University of Colorado Boulder and volunteers in STEM education and with a volunteer fire department.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Zachary Grayum Launches Free Mentorship Circles to Strengthen Workforce Skills in Construction and Retail
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Zachary Grayum, a Fresno, California business leader with experience in construction management and retail operations, is launching monthly mentorship circles and free workshops designed to help workers build leadership skills, improve team communication, and advance their careers.
Building a Community Around Practical Career Growth
California, USA, Aug 10, 2026, ZEX PR WIRE — Zachary Grayum is launching a new community initiative to address a pressing need in the American workforce: accessible mentorship and practical skill development for people in construction, skilled trades, and retail operations. The program includes free monthly mentorship circles, open office hours, and hands-on workshops focused on leadership, team communication, project management, and career planning.
The initiative is designed for early-career professionals, team leads, supervisors, and anyone looking to develop stronger leadership and management skills. Participants will have the opportunity to learn from Grayum’s 18 years of experience managing large teams, overseeing construction projects, and building high-performing operations in retail and entrepreneurship.
“In construction, everyone depends on each other,” Grayum said. “You learn very quickly that success comes from having the right people in the right roles and making sure everyone understands the goal.”
What Participants Will Gain
Each mentorship circle will bring together small groups of 10 to 15 participants for structured discussions on topics such as breaking down large goals, managing teams under pressure, and developing accountability in the workplace. Workshops will be held both in person in Fresno and virtually to accommodate participants across California and beyond.
Attendees will receive practical tools they can apply immediately in their roles. Topics include how to delegate effectively, how to communicate expectations clearly, and how to build trust within a team. Grayum will also share lessons from his 11 years as General Manager of West Coast Agricultural Construction Co., where he managed operations and developed teams that delivered results on complex, time-sensitive projects.
“My parents taught me that you have to show up prepared,” Grayum said. “You also have to take responsibility for your work.”
The program also includes a support community where participants can ask questions, share challenges, and connect with peers facing similar obstacles. Members will have access to a private online group where they can receive feedback and encouragement between sessions.
Who Should Join and How to Participate
The initiative is open to anyone working in construction, retail, skilled trades, or related fields who wants to grow as a leader. No prior management experience is required. The program is especially valuable for supervisors, foremen, assistant managers, and team leads who want to improve their ability to guide others.
Participants can join in several ways. Monthly mentorship circles are scheduled for the second Saturday of each month and require a brief registration form. Open office hours are held every other Thursday evening, offering one-on-one time with Grayum to discuss specific challenges or career questions. Workshops are offered quarterly and focus on deeper skill-building topics.
For those with limited time, the program offers flexible options. Participants can attend a single workshop, drop in for office hours once, or join the online community without committing to regular attendance. All resources and session recordings are shared with members so they can learn at their own pace.
“Sports taught me that talent only gets you so far,” Grayum said. “The people who improve every day and stay disciplined are usually the ones who succeed over the long run.”
Why Workforce Leadership Matters Now
Labor shortages in construction and retail continue to challenge businesses across the country. Many industries need workers who can lead, communicate, solve problems, and stay consistent under pressure. Grayum believes mentorship and practical training can help close this gap by preparing more people to step into leadership roles and manage teams effectively.
His approach emphasizes service-oriented leadership. “Leadership is about service,” Grayum said. “It’s about helping people perform at their best.”
The initiative also addresses a common challenge in skilled trades and retail: many talented workers are promoted into supervisory roles without receiving training in how to lead. Grayum’s program aims to fill that gap by providing accessible, no-cost guidance for people who want to grow but lack formal management education.
“When team members develop new skills and gain confidence, the entire organization becomes stronger,” Grayum said.
Frequently Asked Questions
Who is this program for? The program is for anyone working in construction, skilled trades, retail, or related industries who wants to build leadership and management skills. It is especially helpful for supervisors, team leads, and early-career professionals.
Is there a cost to participate? No. All workshops, mentorship circles, and office hours are free. Participants only need to register in advance.
What if I can’t attend in person? Most sessions are offered both in person and virtually. Recordings and resources are shared with all registered participants.
Do I need management experience to join? No. The program is designed for people at all stages of their careers, including those who are new to leadership roles.
How much time do I need to commit? Participants can attend as much or as little as they like. You can join a single workshop, attend office hours once, or become a regular member of the mentorship circles.
Join the Initiative
Zachary Grayum is inviting workers, supervisors, and aspiring leaders to join the mentorship circles and take the next step in their careers. To register for upcoming workshops, reserve a spot in a mentorship circle, or learn more about the program, visit his website or reach out directly through the contact form.
The first mentorship circle is scheduled for next month, and space is limited to ensure meaningful discussion and personalized guidance. Early registration is encouraged.
About Zachary Grayum
Zachary Grayum is a Store Manager and business leader based in Fresno, California. He has built a career spanning retail management, construction, and entrepreneurship, including 11 years as General Manager for West Coast Agricultural Construction Co. and ownership of Pacific Goldendoodle LLC. Over seven years with Lowe’s Home Improvement, he has held leadership positions focused on employee development, operational excellence, and customer satisfaction. He is a graduate of South Salem High School and attended Oregon State University on a full football scholarship.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Profit Princess Publishes Trading Education Case Study Focused on Risk Management
Belarus, 8th Aug 2026 – The case study describes how a participant applied trading education, predefined risk limits, and disciplined decision-making while supporting his family during a period of financial difficulty.
GRODNO, BELARUS – July 14, 2026 – Profit Princess has published a participant case study examining the role of financial education, capital management, and emotional discipline in trading.
The case study follows Mikhail, a 23-year-old resident of Grodno, Belarus, who began studying financial markets while his family was experiencing significant financial pressure. According to Mikhail, accumulated loan interest and overdue payments had placed the family at risk of further collection procedures.
Although Mikhail was employed and contributed to household expenses, his regular income was not sufficient to address the outstanding obligations within a limited period. During this time, he began researching financial market education and discovered content published by Lisa, a trader and analyst associated with the Profit Princess community.
The educational materials focused on market fundamentals, trading discipline, capital preservation, risk control, and common mistakes made by inexperienced market participants. The content did not present trading as a guaranteed or immediate source of income.
After reviewing the available materials, Mikhail enrolled in the Traderclass by Liza educational program. The program is designed to introduce participants to trading principles, including market analysis, position sizing, loss limits, capital management, and the psychological factors that may affect decision-making.
Education Before Market Participation
Before allocating personal funds, Mikhail completed the educational program and observed trading sessions conducted through the Profit Princess community.
His initial trading capital was USD 1,000, which he had accumulated before joining the program. According to the case study, Mikhail established several rules before beginning to trade. These included limiting the amount of capital used in individual positions, defining potential losses in advance, recording trading results, and stopping activity after reaching a predetermined daily loss limit.
The case study states that Mikhail experienced both profitable and unprofitable trades during the initial period. Rather than increasing position sizes after losses, he reviewed his decisions and continued studying the educational materials.
Mikhail also participated in community trading sessions where market situations and completed trades were analyzed. The purpose of these sessions was to help participants understand the reasoning behind trading decisions rather than encourage the automatic replication of individual positions.
According to Mikhail, maintaining discipline was particularly difficult because of the financial pressure affecting his family.
“When a family is dealing with debt, there is a strong temptation to make decisions quickly and take additional risks. The main principle emphasized during the training was to protect capital before focusing on potential profit,” Mikhail said.
Application of Predefined Risk Limits
During the four-week period described in the case study, Mikhail continued working at his regular job and traded during his available time.
Before each trading session, he established a maximum acceptable risk and a loss level at which he would stop trading. He also maintained records of his entries, exits, results, and reasons for making each decision.
The case study reports that this process helped Mikhail reduce impulsive decisions and identify recurring mistakes. It also allowed him to evaluate his activity based on adherence to a system rather than the result of a single trade.
Profit Princess emphasizes that risk management cannot eliminate the possibility of financial loss. Trading performance may be affected by market volatility, execution conditions, participant experience, emotional decisions, and other factors.
Reported Result After Four Weeks
According to account information provided for the case study, Mikhail’s trading balance increased from USD 1,000 to USD 5,500 over four weeks. The reported difference of USD 4,500 represented trading profit before considering any personal tax obligations that may apply.
Mikhail subsequently withdrew USD 3,500 and transferred the funds to his parents. The remaining trading balance was USD 2,000, consisting of his original capital and USD 1,000 in reported profit.
According to the participant, the withdrawn funds allowed the family to reduce its overdue balance and continue discussions regarding a revised repayment schedule. The payment did not eliminate all of the family’s financial obligations, but it provided additional time to address the remaining balance.
“The result was important because it gave the family an opportunity to stabilize the situation. It did not remove the need for continued work, careful budgeting, and further payments,” Mikhail said.
Focus on Process Rather Than Individual Returns
Profit Princess states that the case study is being published to demonstrate the importance of preparation, predefined limits, and emotional control. The company does not present Mikhail’s reported performance as typical or reproducible.
Lisa noted that individual financial results should not be separated from the time spent studying, reviewing mistakes, documenting decisions, and avoiding trades that did not meet established criteria.
“The final account balance is only one part of the case study. The more relevant element is the participant’s ability to follow predefined rules despite significant emotional pressure. Trading education should focus on responsible decision-making and risk awareness, not on promises of rapid income,” Lisa said.
Mikhail continues to work at his regular job and participate in financial market education. According to the case study, he does not currently plan to increase his trading volume substantially and remains focused on maintaining defined risk limits.
He also does not describe himself as a professional trader. His stated priorities are continuing his education, supporting his family, and avoiding decisions based on urgency or emotion.
Risk Disclosure
Trading in financial markets involves a substantial risk of loss and may not be suitable for every person. Participants may lose some or all of the capital allocated to trading.
The performance described in this case study represents the reported experience of one participant during a specific period. It should not be interpreted as a guarantee, forecast, investment recommendation, financial advice, or indication of future results.
Market conditions and individual outcomes vary. Anyone considering participation in financial markets should independently assess the risks, review applicable legal and tax requirements, and seek advice from a qualified financial professional where appropriate.
Media Contact
Organization: Profit Princess
Contact Person: Victoria Hayes
Website: https://t.me/+DwU5IXGj6ONmZTEy
Email: Send Email
Country:Belarus
Release id:47985
The post Profit Princess Publishes Trading Education Case Study Focused on Risk Management appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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