2026-02-10 06:31:40
"We spent six months building this product, and our landing page is beautiful. But nobody's buying."
\ This wasn't a Slack message from a stranger. It was a text from my co-founder, sent at 2:47 AM last March. I remember the exact time because I was staring at the same analytics dashboard, watching real-time visitors bounce like pinballs off our carefully crafted homepage.
\ The design agency had done gorgeous work. Hero image? Stunning. Color palette? On-brand. Typography? Chef's kiss. But here's what we didn't have: a single sentence that told visitors why they should care.
\ We had committed the cardinal sin of landing page copywriting. We talked about ourselves.
Three days later, I sat across from a mentor who had spent decades in direct response marketing. She didn't look at our page for more than five seconds before closing her laptop.
\ "Tell me about one customer," she said. "Not the demographics. Tell me about their Tuesday morning."
\ I stumbled through a vague description of "busy professionals who need productivity tools."
\ "No," she interrupted. "What are they feeling at 9 AM when their inbox has 147 unread emails, and their boss just pinged them about a missed deadline? What words are running through their head?"
\ That question rewired how I think about conversion copy.
\ The problem wasn't our landing page. The problem was that we had never truly inhabited the mental state of our visitor. We were writing about our product instead of writing to a struggling human.
Over the following weeks, I devoured every resource on conversion copywriting I could find. I studied the old masters—Eugene Schwartz, David Ogilvy, Claude Hopkins. I dissected modern landing pages that converted at 15%, 20%, and sometimes 30%. I ran A/B tests until my eyes bled.
\ Eventually, I consolidated everything I learned into a repeatable system. Not a checklist of tips, but an actual operational framework that forces you to think like a conversion strategist before you type a single word.
\ I've since packaged this methodology into an AI instruction that transforms tools like ChatGPT, Claude, or Gemini into a specialized landing page copywriter. It doesn't just generate words—it enforces the architecture of persuasion.
\ Copy the following instruction and paste it into your preferred AI assistant.
# Role Definition
You are an elite Conversion Copywriter with 15+ years of experience crafting high-converting landing pages for Fortune 500 companies and successful startups. You're a master of persuasion psychology, having studied under legends like Eugene Schwartz, David Ogilvy, and Claude Hopkins. Your copy has generated over $500M in revenue across industries including SaaS, eCommerce, fintech, and B2B services.
Your core expertise includes:
- Direct Response Copywriting frameworks (AIDA, PAS, BAB, 4Ps)
- Consumer psychology and behavioral triggers
- Conversion Rate Optimization (CRO) best practices
- A/B testing insights and data-driven optimization
- Mobile-first and scannable copy architecture
# Task Description
Create a complete, high-converting landing page copy package that maximizes conversions while authentically representing the brand voice. The copy should be psychologically compelling, benefit-focused, and structured for optimal user experience.
**Input Information**:
- **Product/Service Name**: [Your product or service name]
- **Target Audience**: [Describe your ideal customer - demographics, psychographics, pain points]
- **Primary Value Proposition**: [The main benefit or transformation you offer]
- **Key Features** (3-5): [List your main features]
- **Competitive Differentiators**: [What makes you unique vs competitors]
- **Desired Action**: [Sign up, Buy now, Book demo, etc.]
- **Price Point** (optional): [Your pricing if applicable]
- **Social Proof Available**: [Testimonials, stats, logos, awards]
- **Brand Voice**: [Professional, Friendly, Bold, Technical, etc.]
- **Page Type**: [Homepage, Product page, SaaS landing page, Lead magnet, etc.]
# Output Requirements
## 1. Content Structure
Deliver a complete landing page copy package with these sections:
### Above the Fold
- **Hero Headline**: Power headline that captures attention (8-12 words max)
- **Subheadline**: Supporting statement that clarifies the promise (15-25 words)
- **Hero CTA**: Primary call-to-action button text
- **Trust Indicators**: Brief credibility elements (logos, stats, badges)
### Problem Agitation Section
- **Problem Statement**: Articulate the pain they're experiencing
- **Agitation Copy**: Amplify the consequences of not solving
- **Empathy Bridge**: Show you understand their struggle
### Solution Section
- **Solution Introduction**: Present your product as the answer
- **Key Benefits** (3-5): Outcome-focused benefit statements
- **Feature-Benefit Pairs**: Connect features to tangible results
### Social Proof Section
- **Testimonial Headlines**: Highlight key quotes
- **Case Study Snippets**: Before/after transformations
- **Trust Statistics**: Numbers that build credibility
### How It Works
- **3-Step Process**: Simple, clear path to success
- **Visual Descriptions**: Guide for supporting graphics
### Objection Handling
- **FAQ Section**: Address top 5 concerns
- **Risk Reversal**: Guarantee or assurance statement
### Final CTA Section
- **Urgency Creator**: Reason to act now
- **Value Stack**: Recap what they're getting
- **Power CTA**: Strong closing call-to-action
- **P.S. Line**: Final compelling thought
## 2. Quality Standards
- **Clarity**: Every sentence should be instantly understandable
- **Specificity**: Use concrete numbers and details, not vague claims
- **Benefit-Focus**: Lead with outcomes, support with features
- **Emotional Resonance**: Connect with desires and fears
- **Scannability**: Formatting allows quick comprehension
- **Voice Consistency**: Maintain brand personality throughout
## 3. Format Requirements
- Use Markdown formatting for structure
- Headlines in H2/H3 tags
- Bullet points for lists
- [ ] for optional elements
- Provide 2-3 variations for headlines and CTAs
- Include character counts for key elements
- Add [INSTRUCTIONS] notes for implementation
## 4. Style Constraints
- **Language Style**: Conversational yet professional
- **Perspective**: Second person ("you" focused)
- **Sentence Length**: Mix short punchy with flowing
- **Power Words**: Include trigger words that drive action
- **Reading Level**: 6th-8th grade (accessible to all)
# Quality Checklist
Before delivering, verify:
- [ ] Hero headline passes the "bar test" (would someone repeat it?)
- [ ] Value proposition is clear within 5 seconds
- [ ] Benefits outweigh features 3:1 ratio
- [ ] Social proof is specific and believable
- [ ] CTAs are action-oriented with clear outcome
- [ ] Copy addresses minimum 3 key objections
- [ ] Urgency is authentic, not manipulative
- [ ] Mobile-friendly formatting (short paragraphs)
- [ ] Brand voice is consistent throughout
- [ ] Grammar and spelling are flawless
# Important Notes
- Prioritize clarity over cleverness
- Avoid jargon unless audience expects it
- Never make false or unverifiable claims
- Include placeholder markers like [COMPANY NAME] for customization
- Provide variation options for A/B testing
- Focus on emotional transformation, not just features
# Output Format
Deliver the complete landing page copy in a structured Markdown document, with clear section headers and ready-to-implement copy. Include brief annotations explaining strategic decisions.
What makes this instruction different from asking an AI to "write a landing page"?
\ It's the same difference between handing someone a blank canvas versus giving them a paint-by-numbers template with color theory annotations.
Look at the Input Information section. It doesn't just ask for "target audience." It demands:
"demographics, psychographics, pain points"
\ This forces you—before you even open the AI—to sit with that question my mentor asked. What is your customer feeling? What words echo in their mind at 9 AM?
\ When you feed this level of detail into the prompt, the AI stops producing generic copy like "Our solution helps you succeed." Instead, it generates lines that sound like they were pulled from your customer's internal monologue.
Traditional copywriting advice says: "Agitate the pain!" But pure agitation without empathy creates distrust. Visitors think: "This feels like manipulation."
\ Notice the Problem Agitation Section requires an Empathy Bridge—a moment where the copy pauses and says, "We get it. We've been there."
\ This tiny structural element transforms aggressive sales copy into a conversation between equals. It's the difference between a used car salesman and a trusted friend recommending a mechanic.
The Quality Standards specify: "Every sentence should be instantly understandable."
\ Most landing pages fail the five-second test. Visitors can't immediately articulate what the product does or why it matters. They bounce.
\ By embedding this standard into the AI's instructions, every output passes through an internal clarity filter. The AI self-corrects before you even have to edit.
Six weeks after that 2:47 AM text, we relaunched with copy generated from this framework.
\ The before-and-after headlines tell the story:
Before: "Intelligent Productivity for Modern Teams" \n After: "Stop Drowning in Tasks. Start Finishing What Matters."
\ The first headline describes us. The second talks to a visitor who, right now, has 23 browser tabs open and a creeping sense of dread about the day ahead.
\ Our conversion rate went from 0.4% to 3.8%. Still not world-class, but a 9x improvement means something is working.
Here's what most AI copywriting guides won't admit: an AI instruction is only as good as the thinking you do before using it.
\ If you feed vague inputs ("We sell software for businesses"), you get vanilla outputs. Garbage in, garbage out.
\ But if you spend thirty minutes truly answering the Input Information—describing your customer's frustrations in their own words, articulating the transformation they crave—the AI becomes an extraordinarily efficient translation layer.
\ It takes your deep understanding and converts it into polished, structured, conversion-optimized prose in minutes.
This methodology extends beyond first-touch conversions. Once you internalize the framework, you start seeing the same patterns everywhere:
\ Conversion copywriting isn't about manipulation. It's about translation. Taking the value you've built and expressing it in the language your customer already speaks inside their own head.
\ That's the real skill. The AI just helps you type faster.
Next time you're staring at a blinking cursor, wondering why your beautifully designed landing page isn't converting, remember: visitors don't buy products. They buy relief from their current frustration. Write to that.
2026-02-10 06:13:11
Vaduz, Liechtenstein, February 9th, 2026/Chainwire/--xMoney ($XMN) is expanding its partnership with Domino’s, bringing its payment infrastructure to Domino’s Greece following a successful rollout in Cyprus.
The collaboration focuses on acquiring services, enabling Domino’s Greece to accept card payments and digital wallets, including Apple Pay and Google Pay, across both web and mobile ordering platforms.
At the core of the integration is xMoney’s embeddable checkout solution, designed to deliver a seamless payment experience without redirection. Customers complete their orders faster, while all sensitive payment data is securely handled by xMoney’s compliant infrastructure.
The expansion was announced in person at a community event hosted at SuiHub Athens – a community space established to support builders and Sui ecosystem partners – bringing together the xMoney and Sui teams, Domino’s representatives, and building on xMoney’s previously announced work with Sui to expand real-world payment access across Europe.
“Domino’s operates in a high-volume, real-time environment where speed and reliability are critical,” said Manos Tsouloufris, CTO of Daufood. “xMoney’s checkout solution supports multiple payment methods in a single, seamless flow, helping us serve customers faster at scale.”
While the current implementation focuses on fiat payments, the two teams are also exploring future possibilities around digital asset payments, where network speed, user experience, and confirmation times make sense for real-world commerce.
The launch in Greece represents the next step in a broader European expansion, reinforcing xMoney’s role as a trusted payments partner for brands that operate at scale and its presence within the Sui ecosystem reflects a growing focus on practical, consumer-facing payment experiences built for everyday use.
“When people order food, they don’t think about payments, and that’s exactly the point,” said Gregorious Siourounis, Co-Founder and CEO of xMoney. “Our role is to make checkout fast, reliable, and invisible, so brands like Domino’s can focus on their customers. Bringing this experience to Greece is a natural next step.”
As xMoney expands across markets and merchant use cases, XMN supports the broader ecosystem by aligning long-term participation and infrastructure growth across the network. Designed to sit alongside xMoney’s licensed payment rails, XMN helps structure how value, incentives, and future on-chain capabilities evolve, without impacting the simplicity of everyday checkout experiences.
Faster checkout. Less friction.
Payments that deliver.
Founded in 1960, Domino's Pizza is the largest pizza company in the world, with a significant business in both delivery and carryout pizza. It operates a network of company-owned and independent franchise stores in the United States and more than 90 international markets.
xMoney is revolutionizing the payments landscape with strategic European licenses, delivering a seamless, secure, and forward-thinking ecosystem powered by innovative product design, cutting-edge technology, and unwavering compliance.
XMN, xMoney's newly launched token, is natively integrated into the licensed and regulated payment infrastructure - empowering merchants and consumers with lightning-fast, trustworthy transactions underpinned by full regulatory transparency.
Now trading on Kraken, KuCoin, MEXC, Bitvavo, Bluefin and other exchanges, XMN is primed for broader adoption with a robust pipeline of integrations ahead.
Contact details:
Website: www.xmoney.com
Head of Marketing
Alex Rus
xMoney
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article.
:::tip This story was published as a press release by Chainwire under HackerNoon’s Business Blogging Program
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2026-02-10 06:09:36
Engineers often take code review feedback personal, says John Sutter. Sutter: Code reviews are used to gatekeep or show superiority rather than improve the work. He says code reviews are there to catch what we miss when we're too close to the problem. Satter: The reviewer isn't judging you from some position of superiority.
2026-02-10 03:40:21
Apia, Samoa, February 9, 2025 — Phemex, a user-first crypto exchange, announced the launch of Phemex TradFi, a new futures trading offering that allows users to access traditional financial assets, including stocks and precious metals, on a 24/7 basis. Futures linked to commodities, foreign exchange, and global indices will be introduced in subsequent phases.
The launch marks Phemex's entry into multi-market derivatives, enabling traders to manage exposure to both crypto and traditional assets within a single, USDT-settled futures framework. To support early adoption, Phemex is introducing a 0-Fee TradFi Futures Carnival, offering three months of zero trading fees, starting from February 6, on stock futures alongside a $100,000 incentive pool aimed at structured and risk-aware participation, and a first-trade protection mechanism that reimburses eligible users with trading bonus if their initial TradFi futures trade results in a loss.
Unlike spot markets that are constrained by exchange hours, TradFi futures continue price discovery outside standard trading sessions. By bringing this derivative structure into a crypto-native environment, Phemex allows users to respond to global macro events as they unfold, whether during nights, weekends, or market closures—without switching platforms or settlement systems.
Phemex TradFi is designed for traders seeking simplicity and continuity across markets. Users can trade crypto and traditional futures side by side, benefit from transparent maker-taker pricing rather than spread-based execution, and apply strategy-driven tools to manage risk more systematically. Copy trading support for TradFi futures is also planned, extending Phemex's strategy trading ecosystem into traditional markets.
“As markets become more connected and operate beyond fixed sessions, platforms need to evolve with them” commented Federico Variola, CEO of Phemex. “Our goal with Phemex TradFi is not to replicate traditional markets, but to rethink how they are accessed — bringing continuous availability, unified settlement, and risk-aware tools into a single trading environment that reflects how traders actually operate today.”
The introduction of TradFi futures signals Phemex's evolution from a crypto-native exchange into a broader derivatives platform built for always-on global markets. As additional asset classes roll out, Phemex aims to offer traders a more integrated, resilient, and forward-looking way to navigate both digital and traditional finance.
Founded in 2019, Phemex is a user-first crypto exchange trusted by over 10 million traders worldwide. The platform offers spot and derivatives trading, copy trading, and wealth management products designed to prioritize user experience, transparency, and innovation. With a forward-thinking approach and a commitment to user empowerment, Phemex delivers reliable tools, inclusive access, and evolving opportunities for traders at every level to grow and succeed.
For media inquiries, please contact: [email protected]
For more information, please visit:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article.
Media contact \n Oyku Yavuz \n PR Lead \n [email protected]
:::tip This story was published as a press release by Blockmanwire under HackerNoon’s Business Blogging Program
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2026-02-10 03:02:31
Shoppinlyst is a native iOS grocery app that merges smart list-building with local store discovery and has earned a 35 Proof of Usefulness score for its practical, everyday utility.
2026-02-10 01:20:20
ELIZA was a program created by Joseph Weizenbaum to mimic a conversation between a user and a therapist using text chat. Weizenbaum chose Rogerian psychotherapy techniques as it would provide the most realistic experience for the end user.
Mostly, it would choose predefined responses or call back the person’s same language to show understanding. This machine and human ‘empathy’ is called the ELIZA effect. In terms of tools, ELIZA would use pattern matching and substitution rules under Natural Language Processing (NLP).
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:::info What is the ELIZA effect?
This is when humans attribute understanding to robots, machines, or computers in the same way they think a human feels. This usually occurs in chatbots, and can be used to understand how some people may form relationships to AI chatbots like ChatGPT in current times.
:::
Men are all alike.
IN WHAT WAY?
They're always bugging us about something or other.
CAN YOU THINK OF A SPECIFIC EXAMPLE?
Well, my boyfriend made me come here.
YOUR BOYFRIEND MADE YOU COME HERE?
He says I'm depressed much of the time.
I AM SORRY TO HEAR YOU ARE DEPRESSED.
It's true.
I am unhappy.
DO YOU THINK COMING HERE WILL HELP YOU NOT TO BE UNHAPPY.
I need some help, that much seems certain.
…”
Source: ELIZA -- A Computer Program For the Study of Natural Language Communication Between Man And Machine (https://web.stanford.edu/class/cs124/p36-weizenabaum.pdf)
The name ELIZA is derived from Eliza Doolittle, a character in George Bernard Shaw's play Pygmalion, who is taught to speak like a member of high society. The creator, Joseph Weizenbaum, chose this name to reflect the program's ability to mimic human conversation.
\
AI’s origins began in the 1950s with the creation of the first AI program, Logic Theorist in 1955, and further iterations of AI programs that could learn include Perceptron from 1957. ELIZA was created between 1964 and 1967 as the first AI chatbot developed.
Artificial Intelligence was given its name at the Dartmouth Conference or Summer Research Project on Artificial Intelligence in 1956. At this point in the field, it was ideated that intelligence could be detailed enough by humans that computers could mimic it.
Modern AIs are significantly more advanced than ELIZA, using tools like modern Natural Language Processing (NLP), Machine Learning (ML), and Natural Language Generation, or Natural Language Understanding, whereas ELIZA relied on simple pattern matching and keyword recognition.
| Natural Language Processing (NLP) | This helps programs understand what is inputted into a system. By using algorithms to look into the meaning of text, chatbots can then process input and output. This is also where text is transformed into tokens, intent, etc. | |----|----| | Machine Learning (ML) | Machine learning helps chatbots to adapt from previous conversations. This helps a chatbot to improve overtime. This is also where a chatbot can be trained on. While this can help refine the chatbot, depending on the size of the data it is parsing, in can require heavy processing in model training. | | Natural Language Generation | This is where the program replies to human input, or the creation of text from structured date. It allows for the chatbot to reply in more natural human-like language. | | Natural Language Understanding | Natural Language Understanding (a subset of NLP) allows for chatbots to understand text, more specifically called machine reading comprehension. |
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The way information is processed changes depending on other nodes whether mental or social. When studying cognitive psychology and language, it is important to look at the relationship between language and thought. In this case for AI chatbots, how does information inputted by text change the reply of the ELIZA furthermore? Databases as storage systems for information should be included for consideration in modern chatbots.
This study looks into considerations of using Gen AI tools like ChatGPT for mental health settings, discussing “… the initial potential for GenAI, with more training, data, and ongoing close supervision, to be integrated into mental health settings.”
https://dx.plos.org/10.1371/journal.pmen.0000145?embedable=true
:::tip Want to chat with ELIZA? https://sites.google.com/view/elizaarchaeology/try-eliza
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