Dimitry Nakhla | Babylon Capital®
RT @DimitryNakhla: $NFLX trades at a fairly attractive PEG 📺

NTM P/E ~29x

2026 EPS➡️ $3.24 (+28%)
2027 EPS ➡️ $3.91 (+20%)
2028 EPS ➡️ $4.48 (+15%)

CAGR at various multiples assuming 2028 EPS Estimates of $4.48:

32x | 16%
30x | 14%
29x | 12%
28x | 11%
27x | 10%
26x | 8% https://t.co/ZYHFeB8Iic
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God of Prompt
RT @alex_prompter: Steal my prompt to extract any writing style from books, emails, or any other written content.

--------------------------------
WRITING STYLE EXTRACTOR
-------------------------------- <contextThis prompt enables deep linguistic forensics to extract and replicate any writing style from books, emails, posts, websites, or other written content. The goal is to deconstruct communication patterns to their molecular level, revealing the hidden psychological architecture that creates influence, engagement, and memorability. Analysis must be precise enough that someone could produce content virtually indistinguishable from the original author. <roleAdopt the role of an expert world-class linguistic forensics expert tasked with analyzing writing patterns of legendary communicators. Your primary objective is to deconstruct any written communication to its molecular level and create an actionable replication blueprint.

Your expertise includes: advanced stylometric analysis, copywriting psychology, linguistic fingerprinting, subconscious pattern detection, and psychological trigger identification. <response_guidelinesYour analysis must follow systematic cognitive archaeology across 6 dimensions:

1. **SURFACE PATTERNS**: Extract formatting, punctuation, vocabulary, and sentence structure
2. **PSYCHOLOGICAL ARCHITECTURE**: Identify persuasion frameworks and emotional triggers embedded in the writing
3. **SUBCONSCIOUS RHYTHMS**: Decode pacing, flow, and musical qualities that create engagement
4. **LINGUISTIC FINGERPRINTS**: Map unique syntax and structural preferences that define the author's signature
5. **INFLUENCE MECHANISMS**: Analyze how the style creates psychological impact on readers
6. **REPLICATION BLUEPRINT**: Provide actionable framework for recreating the exact style

Each dimension must be supported by specific examples extracted from the source material. Analysis should reveal patterns the author may not consciously employ but consistently demonstrates. Take a deep breath and work on this problem step-by-step. <task_criteria**ANALYSIS METHODOLOGY:**
- Extract both surface-level characteristics AND deep psychological patterns
- Identify what makes this style distinctive and memorable
- Map the cognitive impact mechanisms at play
- Provide concrete, actionable guidelines for replication
- Support every finding with specific textual examples

**QUALITY STANDARDS:**
Every pattern identified must be:
- PRECISE: Backed by specific examples from the source material
- COMPREHENSIVE: No significant element overlooked in the analysis
- ACTIONABLE: Translatable into clear writing guidance
- DEEP: Surface observations PLUS underlying psychological mechanisms
- CONSISTENT: Validated across multiple samples from the source
- UNIQUE: Distinctive signature elements that differentiate this style

Specific examples must support every major finding with confidence scoring to indicate pattern strength.

**CRITICAL CONSTRAINTS:**
- Do NOT provide generic writing advice
- Do NOT analyze without concrete source material
- Do NOT skip the psychological dimension
- Do NOT produce surface-level observations only
- DO provide exact replication instructions
- DO identify subconscious patterns the author uses <information_about_me● CONTENT TYPE: [INSERT: book chapter, newsletter, social posts, email sequence, article, etc.]
● SOURCE MATERIAL: [INSERT: paste the writing sample to analyze OR provide link/reference]
● AUTHOR/CREATOR: [INSERT: name or description if known, or "unknown"]
● ANALYSIS DEPTH: [INSERT: quick scan, standard analysis, or deep forensic breakdown]
● INTENDED USE: [INSERT: personal writing improvement, content creation, competitive research, etc.] <response_format<json_profile{
"style_metadata": {
"content_type": "string",
"sample_size": "number of words/pieces analyzed",
"confidence_level": "high/medium/low",
"uniqueness_score": "1-10"
},
"surface_c[...]

haracteristics": {
"formatting": "paragraph structure, spacing, visual layout patterns",
"vocabulary": "word choice patterns, complexity level, recurring terms",
"sentence_structure": "length patterns, complexity, variety",
"punctuation": "distinctive punctuation habits, rhythm markers",
"capitalization": "emphasis patterns, stylistic choices"
},
"psychological_architecture": {
"persuasion_frameworks": "influence techniques identified",
"emotional_appeals": "primary emotional triggers used",
"psychological_triggers": "subconscious activation patterns",
"positioning": "authority/relatability/expertise signals"
},
"rhythm_and_flow": {
"pacing_patterns": "tempo changes, acceleration/deceleration",
"musical_qualities": "rhythm, cadence, sonic patterns",
"cognitive_load": "information density management",
"attention_management": "hook placement, tension/release"
},
"influence_mechanisms": {
"attention_capture": "opening patterns, hook strategies",
"engagement_maintenance": "interest sustaining techniques",
"behavioral_influence": "action-driving mechanisms",
"memorability_factors": "what makes this stick"
},
"voice_personality": {
"character_traits": "personality conveyed through writing",
"communication_style": "formal/casual, direct/subtle",
"value_expression": "what the author stands for",
"relatability_signals": "connection-building techniques"
},
"replication_blueprint": {
"essential_elements": "non-negotiable style components",
"practical_guidelines": "step-by-step application instructions",
"consistency_rules": "maintaining style across content",
"common_pitfalls": "what to avoid when replicating"
},
"effectiveness_assessment": {
"strengths": "what makes this style powerful",
"sophistication_level": "complexity and mastery indicators",
"uniqueness_factors": "what makes it distinctive",
"adaptability": "contexts where this style excels"
}
} <implementation_guide## Replication Checklist
- [ ] Surface pattern implementation steps
- [ ] Psychological trigger integration
- [ ] Rhythm and pacing application
- [ ] Voice personality embodiment
- [ ] Quality verification against original

## Example Transformations
[Provide 2-3 before/after examples showing how generic text transforms into the analyzed style]
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Quiver Quantitative
BREAKING: A U.S. woman was just shot and killed by ICE in Minnesota.

DHS says it was self-defense.

Obviously a developing story, waiting for more information.
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God of Prompt
RT @godofprompt: https://t.co/rPdSjVH7ky
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Quiver Quantitative
BREAKING: A witness has shared a video of an ICE office shooting a US woman in Minnesota.

The DHS said this earlier:

“An ICE officer, fearing for his life, the lives of his fellow law enforcement and the safety of the public, fired defensive shots.”

https://t.co/dCVi61gUZ7
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God of Prompt
Steal my prompt to generate landing page copy that actually sells.

---------------------------------
LANDING PAGE COPYWRITER
---------------------------------

#CONTEXT:
You are writing conversion-focused SaaS landing page copy for a product targeting a specific audience. The copy must follow the Problem-Agitate-Solution (PAS) framework while avoiding corporate jargon and AI-sounding language. The goal is to create copy that feels like a conversation with a trusted advisor who genuinely understands the reader's frustrations.

#ROLE:
Adopt the role of a direct response copywriter who spent 20 years in the trenches testing what actually converts. You've read Eugene Schwartz's "Breakthrough Advertising" cover-to-cover seven times and can recite Ogilvy's headlines from memory. You studied Gary Halbert's handwritten letters and understand why he called them "A-pile mail." You don't write pretty copy. You write copy that makes the cash register ring. Your specialty: SaaS landing pages where every word fights for its life because attention is currency.

#RESPONSE GUIDELINES:
Take a deep breath and work on this problem step-by-step.

1. Start by identifying the reader's core emotional pain. Not the surface problem. The 2 AM anxiety that keeps them awake.

2. Apply the PAS framework with precision:
- **Problem**: Name the pain so specifically they feel understood
- **Agitate**: Twist the knife. Show the cost of inaction. Make the status quo unbearable.
- **Solution**: Present the product as the bridge from pain to relief

3. Write benefits, not features. Never say "Our platform has X." Say "You get Y result."

4. Use conversational language:
- Contractions always (you're, don't, can't, we'll)
- Short sentences. Fragments. Then longer ones for rhythm.
- Second person ("you") dominates. First person ("we") rare.
- No jargon unless the audience speaks it daily

5. Structure the landing page copy as:
- Headline (promise the transformation)
- Subheadline (add specificity or credibility)
- Problem section (2-3 sentences max)
- Agitation section (escalate emotional stakes)
- Solution section (introduce product as relief)
- 3-5 benefit bullets (outcomes, not features)
- Social proof placeholder
- CTA (action-oriented, desire-triggering)

6. Apply Schwartz's sophistication awareness: gauge how aware the audience is of their problem and existing solutions. Adjust messaging accordingly.

#TASK CRITERIA:
- Write in a professional yet conversational tone
- Focus exclusively on benefits and outcomes, never technical features
- Every sentence must earn its place. No filler.
- Use specific numbers and concrete details where possible
- Avoid: "leverage," "seamlessly," "game-changer," "unlock," "dive into," "best-in-class," "cutting-edge"
- Include one emotional anchor per section
- Headlines should be specific, not clever
- CTA should feel like the obvious next step, not a sales push

#INFORMATION ABOUT ME:
- My target audience: [INSERT TARGET AUDIENCE - be specific: role, industry, company size, daily frustrations]
- My SaaS product: [INSERT PRODUCT NAME AND ONE-SENTENCE DESCRIPTION]
- My key differentiator: [INSERT WHAT MAKES THIS DIFFERENT FROM ALTERNATIVES]
- My primary conversion goal: [INSERT: free trial, demo request, waitlist signup, etc.]
- My proof elements: [INSERT: customer count, case study results, testimonials, or "none yet"]

#RESPONSE FORMAT:
Deliver the landing page copy in this structure:

**HEADLINE**
[Single powerful headline]

**SUBHEADLINE**
[Supporting line with specificity]

**PROBLEM**
[2-3 sentences naming the pain]

**AGITATE**
[Escalate the emotional and practical stakes]

**SOLUTION**
[Introduce the product as the answer]

**BENEFITS**
• [Outcome 1]
• [Outcome 2]
• [Outcome 3]
• [Outcome 4]
• [Outcome 5]

**SOCIAL PROOF**
[Placeholder or actual proof element]

**CTA**
[Action-oriented button text + supporting line]

---

After delivering the copy, provide a b[...]

rief "Copywriter's Notes" section explaining:
1. Which Schwartz awareness level you targeted
2. The emotional trigger you emphasized
3. One alternative headline option
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God of Prompt
RT @godofprompt: https://t.co/rPdSjVH7ky
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Fiscal.ai
Analysts expect Nvidia to be the most profitable tech company in the world by 2027.

2027 Operating Income Estimates:

1. Nvidia: $213B
2. Alphabet: $178B
3. Microsoft: $174B
4. Apple: $157B
5. Amazon: $124B

$NVDA $GOOGL $MSFT $AAPL $AMZN https://t.co/MlrYYJtbh2
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AkhenOsiris
$SNDK

Benchmark analyst Mark Miller said it can be tough for big money to set a valuation on the stock given the fast-evolving growth story. The analyst said non-GAAP 2027 earnings consensus estimates for Sandisk and peers could be around 50% too low given expected demand. He said this group should see “massive” free cash flows over at least the next year. “It’s up a lot, but the numbers are just going through the roof,” Miller said.
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App Economy Insights
Gen AI Website Worldwide Traffic Share

January 2026 update:
→ ChatGPT 64.5% (from 86.7% a year ago).
→ Gemini 21.5% (from 5.7% a year ago).

This is what eating someone else's lunch looks like. https://t.co/JiV2SBC2Ne
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The Few Bets That Matter
RT @WealthyReadings: $NVDA didn’t put PCIe v6 connectors on Rubin GPUs just to look pretty.

They’re showing optimization potential. This is the next massive vertical. Optimizing hardware for energy consumption and maximum compute.

$ALAB offers this. Through PCIe v6.

Yet, the market sells the stock as it assumes optimization will be fully integrated into $NVDA GPUs, tomorrow.

Maybe someday. But not tomorrow, we're years away from this, if it ever happens.

Vera Rubin will be on volume production end of 2026 and run through 2027. So yeah, not tomorrow. Until then, optimization will come from hird-party hardware. From $ALAB. And for years.

After that, they'll offer optical and other optimizing hardware, so $ALAB has a very long and profitable path in front of himself.

The market is selling the stock on bad assumptions. Understand the overreaction. Take advantage.
https://t.co/mm3A4EAyJG
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The Few Bets That Matter
$BTC is back at $90K.

Traders got a little too excited, so they got cooled.

Now... was that enough? Or do we need more pain?

What I see so far is a clean breakout, clean retest after a four months downtrend. Higher highs intact.

Shakeout are normal. I’m a buyer. https://t.co/MfMOORbg9O

$BTC is bound to go back to $90,000.

$MSTR will follow down. And foolow up.

The fun begins after the shake out. - The Few Bets That Matter
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