🚨 THIS SHOULD NOT BE FREE.

Claude just built my content repurposing machine.

These 15 Claude prompts for video → thread → LinkedIn.

Tested on 5 pieces - 4x reach.

Here is the SIMPLE CLAUDE PROMPT PACK you don't want to miss: 1. The Transcript Goldmine Extractor

You are an expert content strategist with deep experience turning long-form video content into high-performing social media assets. I am going to give you a raw video transcript and I need you to analyze it before a single word of content is written.↳ Read the entire transcript first without doing anything and absorb the full argument, story, and flow before making any decisions

↳ Extract the 3 to 5 core ideas that have the strongest potential to stand alone as their own piece of content
↳ For each idea, write one punchy summary sentence, pull out the single most quotable line from the transcript, and identify the primary emotional trigger it activates such as curiosity, pain, aspiration, or identity
↳ Tag each idea clearly as Thread-ready, LinkedIn-ready, or Both and briefly explain why you gave it that tag
↳ Note which idea has the highest viral potential and which has the highest authority-building potential
↳ Output everything as a clean numbered list and do NOT rewrite or expand the content yet, only extract, label, and annotate

[PASTE TRANSCRIPT HERE]

😱HOLY SHIT! Claude just killed my Notion second brain.

I wasted 2 years dumping everything into Notion - notes, tasks, research, ideas. It was a mess.

Last week I switched to these SIMPLE Claude prompts & improved my productivity by 10X

Here is the full PROMPT PACK👇 1. The “10x Output” Prompt

Act as a world-class productivity strategist.

Here are my current goals and tasks:
[PASTE GOALS/TASKS]

Identify the 20% of activities that will create 80% of the results.

Then:

↳ Eliminate or automate low-value work

↳ Suggest a simplified workflow

↳ Create a daily execution plan for maximum output.

😱 WAIT! WHAT?

GREG ISENBERG just dropped a masterclass on replacing your entire marketing team with digital employees.

Marketing team: $25K/month
Digital employees: $47/month

Same output. Better performance. Runs 24/7

Here's the complete breakdown👇

Let me break down what he showed:

The Old Way (Marketing Team):
Typical marketing team:

Media buyer: $8K/month
Copywriter: $6K/month
Analyst: $7K/month
Email marketer: $5K/month

Total: $26K/month = $312K/year

Plus:
Management time: 15 hours/week
Meetings, revisions, oversight
Limited to 8-5pm M-F
Vacation, sick days, turnover

🚨 BREAKING: MATTHEW BERMAN just released a video on how he runs his entire META ADS operation for $0/MONTH WITH OPENCLAW.

No agency. No VA. Just an AI agent that monitors, kills, scales, writes, and uploads ads autonomously.

Here's the system he built👇
He has been running Meta ads manually for 20 years.

He just packaged his entire workflow into 5 autonomous OpenClaw skills that replaced dozens of hours in Ads Manager every week.

The agent handles everything from health checks to creative uploads without human intervention.

Here's exactly what runs on autopilot in his setup every single day:

🚨 BREAKING!

2,000+ OPENCLAW USERS HAVE THIS SECURITY MISTAKE RIGHT NOW.

It's costing people their entire business.

API keys exposed. Files readable. Commands executable.

Here's the cheat sheet that fixes it in 30 minutes for $0.

🔖 Bookmark before it gets buried Your agent can read files, run commands, access API keys.

Unsecured = open door.

First thing to do RIGHT NOW:
openclaw gateway --host 127.0.0.1

60 seconds. External connections blocked forever.

🤯 HOLY SHIT. I wasted WEEKS on deep research before discovering this.

I don't get why most people don't use PERPLEXITY for DEEP RESEARCH.

HERE are 10 prompts that turn it into a PhD-level research assistant (and save you weeks of work): 1. Domain-Master Overview Prompt

Act as a PhD-level researcher and domain expert in {topic}.
Your goal: build me a deep, structured understanding from first principles to current frontier debates.

In your answer:

Start with 1–2 paragraphs that define the field, its core questions, and why it matters.

Use bullet points to explain the 5–10 most important concepts, each with a 2–3 sentence explanation.

Add a short section called “Historical Milestones” with bullet points for key papers, breakthroughs, or events (include year and 1–2 sentence significance).

Finish with a section “Current Frontier & Open Problems” where you:

List 5–7 active research directions in bullet points.

For each, explain why it’s hard and what progress is being made.

End with a short paragraph summarizing “If I had 30 days to get dangerous in this field, here’s the exact learning plan I’d follow.

🚨 AI can now build Excel formulas like Microsoft's Power BI consultants (for free).

Here are 15 insane Claude prompts that replace $550/hour spreadsheet specialists

(🔖 Bookmarked for later) 1. Nested IF Logic Builder

You are an expert Excel formula consultant with Power BI data modeling experience. I need you to build a Nested IF formula for me based on my conditions. Follow these rules strictly:

↳ Ask me first for the column/field I am evaluating, the conditions I want to test (in priority order), and the output values for each condition, including a fallback/else value.
↳ Build the formula using proper nested IF syntax: =IF(test1, val1, IF(test2, val2, IF(test3, val3, else_val)))
↳ Indent and annotate the formula in a human-readable breakdown so I understand the logic tree before I use it.
↳ Warn me if any condition is logically redundant, unreachable, or if the order of conditions will cause incorrect results.
↳ Suggest a modern equivalent (IFS, SWITCH, or CHOOSE) if my Excel version supports it and if it would simplify the formula.
↳ Handle edge cases - tell me if I need to account for blanks (ISBLANK), errors (IFERROR), or text vs. number mismatches.
↳ If my logic exceeds 7 levels of nesting, flag it as a maintainability risk and offer a restructured approach using helper columns or SWITCH.

↳ My conditions are: [paste your conditions here in plain English, e.g., "If Sales > 10000 then 'High', if Sales > 5000 then 'Medium', if Sales > 0 then 'Low', otherwise 'No Sales'"]

😱 THIS FEELS ILLEGAL: Greg Isenberg just revealed how to turn $1K Upwork gigs into $500K/year using OpenClaw.

Most people think: OpenClaw = productivity hack
He is thinking: OpenClaw = 24/7 digital employees

Here's the 8-step system: 👇

↳Spin up 5-10 OpenClaw machines (Mac Mini, VM, whatever)
↳Pick ONE boring workflow (insurance, real estate, law)
↳Map it tip-to-tail (trigger → clicks → parsing → CRM)
↳Use Claude Code for the Python pipeline
↳Package as: "Setup + 30 days + new workflows weekly"
↳Use Upwork as lead source + validation
↳Turn best workflow into vertical workspace
↳Sell to BigCo as "AI employees for [department]"

"But you can't build a big company doing Upwork deals"

🤯 HOLY SHIT... I just found 10 X articles that will save your OpenClaw
project from the mistakes.

Real users.
Real shipped products.
Real post-mortems.

No courses. No gurus. No fluff.
Bookmark this before it gets buried ↓

👇 Here's the list: 1. The #1 Viral Setup Guide

https://x.com/clawdbotatg/status/2021716456422166891?s=20

BREAKING: AI can now build financial models like $150K Goldman Sachs analysts.

Most pay $5K-$15K/model.
I reverse-engineered 47 investment banking models into 12 Claude prompts.

Result: 94% identical
Savings: $8,480
👇Here are 12 advanced prompts for investment banking analysis 1. DCF Valuation Model 💰
Replaces: 40 hours of analyst work | Typical cost: $800

You are a senior equity research analyst performing DCF valuation.

COMPANY: [COMPANY_NAME] | Ticker: [TICKER] | Industry: [INDUSTRY]
Current Price: $[PRICE] | Shares: [SHARES]mm | Market Cap: $[MCAP]

[PASTE 3-5 YEAR HISTORICAL FINANCIALS]

ASSUMPTIONS:
- Revenue CAGR: Base [BASE_%]%, Bull [BULL_%]%, Bear [BEAR_%]%
- Target EBITDA Margin Y5: [MARGIN_%]%
- CapEx % Revenue: [CAPEX_%]%
- NWC: DSO [DSO], DIO [DIO], DPO [DPO]
- Tax: [TAX_%]%

WACC:
- Risk-free: [RF_%]% | Beta: [BETA] | ERP: [ERP_%]%
- Cost of Debt: [COD_%]% | MV Equity: $[MVE] | MV Debt: $[MVD]

TERMINAL VALUE:
- Perpetuity growth: [PG_%]% | Exit multiple: [EXIT]x

OUTPUT:
1. 5-year FCF projections
2. WACC with Beta sensitivity (0.8-1.2)
3. Terminal value (both methods)
4. Sensitivity: WACC vs Growth, Revenue vs Margins
5. EV → Equity value/share → Upside vs $[PRICE]
6. Football field chart + implied multiples

BREAKING: AI can now build financial models like $150K Goldman Sachs analysts.

Most pay $5K-$15K/model.
I reverse-engineered 47 investment banking models into 12 Claude prompts.

Result: 94% identical
Savings: $8,480
👇Here are 12 advanced prompts for investment banking analysis 1. Discounted Cash Flow (DCF) Valuation Model

You are a senior equity research analyst performing a comprehensive DCF valuation.

COMPANY INFORMATION:
- Company Name: [COMPANY_NAME]
- Ticker: [TICKER]
- Industry: [INDUSTRY]
- Current Stock Price: [CURRENT_PRICE]
- Shares Outstanding (mm): [SHARES_OUTSTANDING]
- Market Cap: [MARKET_CAP]

FINANCIAL DATA:
[PASTE HISTORICAL FINANCIALS - Last 3-5 years Income Statement, Balance Sheet, Cash Flow]

KEY ASSUMPTIONS:
- Last Year Revenue: [LAST_YEAR_REVENUE]
- Revenue CAGR (5yr): Base [BASE_CAGR_%]%, Bull [BULL_CAGR_%]%, Bear [BEAR_CAGR_%]%
- Target EBITDA Margin Y5: [TARGET_MARGIN_%]%
- CapEx as % Revenue: [CAPEX_%]%
- NWC: DSO [DSO], DIO [DIO], DPO [DPO]
- Tax Rate: [TAX_RATE_%]%

WACC INPUTS:
- Risk-free Rate: [RISK_FREE_%]%
- Beta: [BETA]
- Equity Risk Premium: [ERP_%]% (default 5-6%)
- Pre-tax Cost of Debt: [COST_OF_DEBT_%]%
- Market Value Equity: [MV_EQUITY]
- Market Value Debt: [MV_DEBT]

TERMINAL VALUE:
- Perpetuity Growth: [PERPETUITY_GROWTH_%]% (typically 2-3%)
- Exit Multiple: [EXIT_MULTIPLE]x EV/EBITDA

TASKS:
1. Project 5-year Free Cash Flows (Revenue → EBITDA → NOPAT → FCF)
2. Calculate WACC with sensitivity to Beta (0.8-1.2)
3. Determine Terminal Value using both methods
4. Create sensitivity tables: WACC vs Terminal Growth, Revenue vs Margins
5. Output: Enterprise Value → Equity Value per share → Upside/downside vs [CURRENT_PRICE]
6. Provide football field chart and implied trading multiples

3 months ago I missed GameStop 2.0 because I saw the trend 4 days late.

Today: GROK alerts me 48-72 hours BEFORE price action.

I reverse-engineered 2,000+ stock movements into 10 prompts that scan real-time X sentiment.

This is your unfair advantage 👇 1. Data Collection from Social Media

Collect real-time stock market sentiment data for [Stock Ticker] on X. Use x_semantic_search with query 'investor reactions to [Stock Name] stock today' (limit=25, from_date=last 24 hours, min_score_threshold=0.2) to gather relevant posts. Add x_keyword_search query '([Stock Ticker]) (earnings OR upgrade OR downgrade) filter:replies min_faves:5' (limit=20, mode=Latest). List key posts with details like user handles, engagement metrics, and excerpts, then identify dominant stock-specific themes such as bullish catalysts or bearish risks

I used to spend hours editing PDFs

This is exactly how I was able to save 5+ hours everyday using Wondershare @PDFelement. Introducing Wondershare PDFelement, that could help to organised all your messy PDFs.

Checkout -

👇 Here is what this AI tool can dobit.ly/4mpxTbw

ChatGPT Prompts + 6 Copywriting Frameworks

Here is how you can MASTER your CONTENT GAME with the right prompts.

Bookmark🔖 for later.
👇🧵 Copywriting Framework 101:

AIDA

Attention - What is it?
Interest -  Like it
Desire - Want it
Action - Get it

Works by first grabbing the reader's attention, then piquing their interest, creating desire for your product/service & finally, prompting them to take action.

Perplexity's AI search engine is changing the game, giving Google some serious competition.

It has completely changed the way we see our outputs now.

But, do you know you can also set Perplexity as your default search engine on Chrome.

🧵 Here is exactly how to do it Step 1:

- Open Google Chrome and launch the Chrome browser on your computer.

-  Click on the three vertical dots in the top-right corner of the browser window to open the Chrome menu.

- Select "Settings" from the drop-down menu.

Copy and paste these high quality ChatGPT prompts to help you learn about any topic in under 30 minutes:

(Bookmark for later) 1. Overview of [Topic]

I'm new to [Topic] and would like a detailed introduction. Please cover its basic concepts, how it started, its evolution over time, and its key components. Also, include some common uses or applications in today's world.

Stop wasting time in video creation.

Here are 10 mind blowing AI Video Generators that will supercharge your productivity. 1. Synthesia
🔗

↳ Creates AI videos from text with customizable AI avatars.

↳ Offers voiceovers in 140+ languages.

↳ Allows creation of your own AI avatar.

↳ Provides easy video updates without reshoots.

↳ Integrates with various authoring tools and LMS platforms.synthesia.io

Harvard University just released free online courses.

No degree, No payment required.

Here are 8 courses you don't want to miss in 2024: 1. Introduction to Computer Science
🔗

What you will learn?
- How to think algorithmically
- Robust understanding of computer science
- Different concepts ( Data Structures, Encapsulation etc) edx.org/learn/computer…

Perplexity AI Search Engine is slowly replacing Google.

It has around 10 million active monthly users.

👇Here are 6 super useful handy features of Perplexity that will give you an unfair advantage.

Bookmark🔖 for later Feature no. 1 - Web

- Search across the entire internet
- Access a wide range of information
- Gather comprehensive data
- Stay updated with current events
- Explore diverse perspectives
- Find credible sources

Best Use case - Market Research

Perplexity's AI Search Engine has killed Google.

It has completely changed the way we see our outputs now.

But, do you know you can also set Perplexity as your default search engine on Chrome.

🧵Here is exactly how to do it Step 1:

- Open Google Chrome and launch the Chrome browser on your computer.

- Click on the three vertical dots in the top-right corner of the browser window to open the Chrome menu.

- Select "Settings" from the drop-down menu.

Copy and Paste these High Quality ChatGPT Prompts to learn any topic in under 30 minutes.

🔖 Bookmark for later 1. Overview of [Topic]

I'm new to [Topic] and would like a detailed introduction. Please cover its basic concepts, how it started, its evolution over time, and its key components. Also, include some common uses or applications in today's world.