Hasan Toor Profile picture
Feb 15 14 tweets 9 min read Read on X
BREAKING: Claude is insane for market research.

I reverse-engineered how top consultants at McKinsey, Goldman Sachs, & JP Morgan use it.

The difference is night and day.

Here are 12 insane Claude Opus 4.6 prompts they don't want you to know (Save for later) Image
1. Market Sizing (TAM/SAM/SOM) from Scratch

Most founders pay consultants $3K just for a market sizing slide.

Claude does it in 30 seconds with actual logic:

Prompt:

You are a senior market research analyst at McKinsey.

Calculate the TAM, SAM, and SOM for [YOUR PRODUCT/SERVICE] in [TARGET MARKET].

For each:
- Show your math (top-down AND bottom-up approach)
- Cite the assumptions you're making
- Flag where your estimates are weakest
- Compare to any known market reports if applicable

Format as an investor-ready slide with numbers, not paragraphs. If my market is smaller than I think, tell me now.Image
2. Customer Persona Builder (Based on Real Data, Not Guesswork)

Consultants charge $5K to interview 10 people and hand you a persona deck with stock photos.

This is better:

Prompt:

You are a consumer insights researcher at Goldman Sachs

Build 3 detailed customer personas for [YOUR PRODUCT] in [INDUSTRY]

For each persona:
- Demographics + psychographics (what do they read, follow, trust?)
- Buying trigger: What event makes them Google your solution?
- Decision process: Who else influences their purchase?
- Objections: What's their #1 reason to say no?
- Exact phrases they'd use to describe their problem (for ad copy)



- No generic "35-year-old marketing manager" personas
- Base everything on behavioral patterns, not demographics
- Each persona should suggest a different acquisition channel
Image
3. Competitor Positioning Map

I used to spend 2 weeks manually analyzing competitors.

Now I dump everything into Claude and get a strategy in minutes:

Prompt:

Analyze these competitors in [INDUSTRY]: [LIST 5-7 COMPETITORS]

For each:
1. What's their actual positioning? (not what they say — what customers believe)
2. Pricing model + who they're optimized for
3. Biggest weakness based on public reviews (G2, Reddit, Twitter)
4. What customer segment are they ignoring?

Then: Map all competitors on a 2x2 matrix. You pick the two axes that reveal the biggest gap in the market.

Tell me where the white space is and what positioning would let me win it.Image
4. Pricing Strategy Reverse-Engineering

Most startups guess their pricing. Consultants charge $10K for pricing research.

Claude will do competitive pricing analysis for free:

Prompt:

You are a pricing strategist who has worked with 50+ SaaS companies.

My product: [DESCRIBE PRODUCT + CURRENT PRICING]
Competitors: [LIST COMPETITORS + THEIR PRICING]
Target customer: [WHO]

Analyze:
1. What pricing model fits my market? (per seat, usage-based, flat rate, freemium — and WHY)
2. What's my optimal price point? Show the reasoning using Van Westendorp or Gabor-Granger logic
3. What's the #1 pricing mistake I'm probably making?
4. Design a 3-tier pricing table with specific feature gates that maximize upgrade rate

Be specific with dollar amounts. No "it depends" answers.Image
5. Industry Trend Report (Quarterly Intelligence Brief)

McKinsey sells trend reports for $25K.

This prompt generates one that's 80% as good:

Prompt:

You are a senior analyst at a top-tier consulting firm preparing a quarterly intelligence brief

Create a comprehensive market intelligence report for [INDUSTRY] covering:

1. Top 5 trends reshaping the industry right now (with evidence, not vibes)
2. 3 emerging threats most companies aren't tracking yet
3. What the smartest players are doing differently (name names)
4. Where capital is flowing (recent funding rounds, M&A activity, IPO signals)
5. Your "hot take" prediction for the next 12 months



- Executive summary (3 sentences max)
- Each section: insight + evidence + "so what" implication
- End with 3 strategic recommendations for a company entering this space


Write like a partner presenting to a C-suite. No filler.Image
6. Customer Interview Question Generator

Bad customer interviews confirm what you already believe.

This prompt designs questions that surface real insights:

Prompt:

You are a user research lead who has conducted 500+ customer interviews.

I'm building [PRODUCT] for [TARGET CUSTOMER].

My assumptions:
- [ASSUMPTION 1]
- [ASSUMPTION 2]
- [ASSUMPTION 3]

Design a 15-question customer interview guide that:
1. Tests each assumption WITHOUT leading the witness
2. Uncovers jobs-to-be-done (not feature requests)
3. Reveals their current workaround and what they spend on it
4. Includes 3 "trap" questions that expose if they're being polite instead of honest

For each question, tell me: What am I actually learning from the answer?

No "How would you feel about..." questions. Only behavioral questions.Image
7. Go-To-Market Channel Analysis

Consultants charge $8K for a GTM strategy deck.

This prompt builds one that actually prioritizes channels by ROI:

Prompt:

You are a growth strategist who has launched 30+ products.

My product: [PRODUCT DESCRIPTION]
Target customer: [WHO]
Budget: [MONTHLY MARKETING BUDGET]
Current traction: [WHAT YOU HAVE SO FAR]

Analyze the top 8 acquisition channels for my business:
1. Score each channel (1-10) on: cost efficiency, time to results, scalability
2. Rank by expected CAC (show your math)
3. For the top 3 channels: Give me the exact playbook for the first 30 days
4. Which channel is everyone in my space using that I should AVOID? Why?

No generic "try content marketing" advice. I want specific tactics with estimated costs and timelines.Image
8. Survey Design That Doesn't Suck

90% of market research surveys ask garbage questions and get garbage data.

This fixes that:

Prompt:

You are a survey methodology expert trained in behavioral science.

Goal: I need to validate [SPECIFIC HYPOTHESIS] about [TARGET MARKET]

Design a 12-question survey that:
1. Screens for my actual target customer in the first 2 questions
2. Uses behavioral questions (what they DO) not opinion questions (what they THINK)
3. Includes 1 conjoint analysis question to test willingness to pay
4. Has 1 trick question to filter out people clicking randomly
5. Takes under 4 minutes to complete

For each question:
- Show the question + answer options
- Explain what insight it gives me
- Flag potential bias in the question

Also: What sample size do I need for statistical significance at 95% confidence?Image
9. SWOT Analysis That Actually Drives Decisions

Traditional SWOT is a box-filling exercise that changes nothing.

This prompt turns it into a strategy weapon:

Prompt:

You are a corporate strategist at JP Morgan advising on competitive positioning.

Company: [YOUR COMPANY]
Industry: [INDUSTRY]
Top 3 competitors: [LIST THEM]

Run a SWOT analysis, but make it useful:

STRENGTHS: What do we do that competitors literally cannot copy in the next 12 months?
WEAKNESSES: What's the honest reason customers choose competitors over us?
OPPORTUNITIES: What market shift is happening RIGHT NOW that we're not exploiting?
THREATS: What could put us out of business in 2 years? (not generic "competition" — specific scenarios)

Then: Create a 2x2 action matrix:
- Strengths × Opportunities = Attack moves
- Weaknesses × Threats = Survival moves

End with: "If I could only do ONE thing this quarter, it should be ___" and defend it.Image
10. Market Entry Feasibility Study

Before burning $50K entering a new market, run this:

Prompt:

You are a market entry consultant who has advised Fortune 500 companies on expansion.

We want to enter [NEW MARKET/GEOGRAPHY/SEGMENT].

Our current business: [DESCRIBE]
Our advantages: [WHAT WE BRING]
Our budget: [AVAILABLE INVESTMENT]

Conduct a feasibility analysis:
1. Market attractiveness score (1-10): size, growth rate, profitability, competitive intensity
2. Our right to win: What specifically makes us credible in this market? (be honest if the answer is "nothing")
3. Top 3 barriers to entry and cost to overcome each
4. Required partnerships or capabilities we don't have
5. Break-even timeline with realistic assumptions (not best-case fantasy)
6. Kill criteria: What signals should make us STOP and exit?

If this is a bad idea, say so. I'd rather hear it from you than from my P&L.Image
11. Brand Positioning Statement Generator

Most positioning statements are interchangeable corporate mush.

This prompt creates one that actually differentiates:

Prompt:

You are a brand strategist who built positioning for 3 billion-dollar brands.

My product: [PRODUCT]
Target customer: [WHO — be specific]
Competitors: [TOP 3]
Our unfair advantage: [WHAT MAKES US DIFFERENT]

Create 3 positioning statement options using this framework:

For [target customer] who [need/pain], [product] is the [category] that [key benefit] unlike [competitors] because [reason to believe].

For each option:
- Rate it on: clarity (1-10), differentiation (1-10), believability (1-10)
- What messaging pitfall does it avoid?
- Write the one-liner version (under 10 words) for homepage hero text

Then: Tell me which one you'd bet money on and why.

No "we're the leading platform for..." — that's not positioning, that's copium.Image
12. Demand Validation Before Building

The $5K question every consultant charges for: "Is anyone actually willing to pay for this?"

Prompt:

You are a lean startup advisor who has validated 100+ product ideas.

My idea: [DESCRIBE YOUR PRODUCT IDEA]
Target customer: [WHO]
Price point I'm considering: [PRICE]

Run a pre-build demand validation framework:

1. PROBLEM VALIDATION: Is this a real problem? Score the pain level (vitamin vs painkiller vs surgery). What evidence exists that people actively search for solutions?

2. SOLUTION VALIDATION: Why would someone choose this over their current workaround? What's the switching cost?

3. WILLINGNESS TO PAY: At [PRICE], what alternatives am I competing with? Is this a "shut up and take my money" or "let me think about it" purchase?

4. QUICK VALIDATION PLAN: Design a 7-day experiment I can run with $0-$500 to test real demand (not surveys — actual buying signals)

5. KILL CRITERIA: What results from the experiment should make me kill this idea?

Be ruthless. Most ideas should die before code is written. Is mine one of them?Image
As always, Thank you for reading this.

If you enjoyed this post:

1. Follow me @hasantoxr for more of these
2. RT the tweet below to share this thread with your audience

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Hasan Toor

Hasan Toor Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @hasantoxr

Mar 20
Holy shit... Someone just built the world's largest AI image prompt library and made it free.

It's called MeiGen, it scrapes the most popular prompt posts from X each week and puts them all in one place.

No prompt engineering. No guessing. Just steal what's already working.

100% free. 100% Open Source.Image
Here’s the problem MeiGen solves:

Some of the best AI image prompts are on X.

But they get lost in your bookmarks, likes, and the “I’ll come back to this” pile—until you never do.

MeiGen finds the best prompts each week and puts them in one place. They’re curated, organized, and easy to search.
What you get:

- Weekly hand-picked prompts that are trending on X (real engagement, not random)
- Filter by model like NanoBanana Pro, GPT Image, or Midjourney
- Generate in one click and save to your collection
- See real view and like counts so you know what actually works
Read 6 tweets
Mar 15
🚨 BREAKING: Someone just leaked their full Claude Cowork setup and it compresses an entire workday into 90 seconds.

I scraped every power user workflow across X, Reddit, and private Slack groups to find out how.

99% of people are using it completely wrong.

Here's what the top 1% actually do 👇Image
Prompt 1: Inbox triage + summarization

"You are a Chief of Staff with 10 years of executive support experience.

I need you to process my inbox one email at a time using this exact chain of reasoning:

Step 1 → Classify: Is this urgent (needs reply today), important (needs reply this week), or noise (unsubscribe/archive)?
Step 2 → Extract: Pull out the sender, request, deadline, and any names mentioned.
Step 3 → Draft: Write a reply under 4 sentences. Match the sender's tone. Never use "I hope this email finds you well."
Step 4 → Flag: If it involves money, legal language, or a deadline under 24 hours, mark it [ESCALATE] before the reply.

Process every email in my inbox folder. Output in this format:
[CLASSIFICATION] | [EXTRACTED INFO] | [DRAFT REPLY] | [FLAG IF NEEDED]

Do not stop until every email is processed."
Prompt 2: Document drafting

"You are a McKinsey Senior Consultant who writes exclusively in plain English.

Hard constraints:
- No bullet points. Prose only.
- No sentence longer than 20 words.
- Every paragraph must end with a decision or action.
- Never use: "leverage," "synergy," "circle back," or "moving forward."

Task: Read every file in my [Documents/Drafts] folder. For each document that is more than 50% complete, turn it into a final polished version ready to send.

For documents under 50% complete, write a 3-sentence brief explaining exactly what still needs to be done and who should do it.

Save all outputs as [filename]_FINAL.docx in the same folder."
Read 12 tweets
Mar 12
🚨BREAKING: This github has entire blueprint for building ChatGPT from scratch and put it on GitHub for free.

It's called LLMs-from-scratch and it walks you through building a GPT model in PyTorch line by line.

No black boxes. No hand-waving. Every single piece of the architecture explained and coded.

Here's why this changes everything for AI builders: ↓Image
Most people using ChatGPT every day have zero idea how it actually works under the hood.

Attention mechanisms. Tokenization. Pretraining. Finetuning. RLHF.

They're all magic words until you build one yourself.

This repo fixes that.
What you'll build, chapter by chapter:

→ Ch 2: Working with text data + BPE tokenizer from scratch
→ Ch 3: Coding multi-head attention from zero
→ Ch 4: Full GPT model implementation in PyTorch
→ Ch 5: Pretraining on unlabeled data
→ Ch 6: Finetuning for text classification
→ Ch 7: Instruction finetuning (how ChatGPT-style behavior actually works)Image
Read 8 tweets
Mar 8
🚨BREAKING: GOODBYE POWERPOINT forever.

Claude just collapsed 10 hours of presentation building into 100 seconds completely free.

Here are 12 prompts to go from completely unprepared to completely untouchable in every meeting: (Save this): Image
1. Complete Presentation Blueprint

Act like a professional presentation consultant who has built decks for Fortune 500 boardrooms and billion-dollar pitch meetings. Create a complete presentation blueprint for [topic]. Define the objective, target audience, key message, emotional arc, and exact slide flow. Make every section earn its place and eliminate anything that doesn't move the audience toward one clear decision.
2. Hook Slide That Stops Scrolling

You are a TED Talk opening specialist. Write the first slide and opening 30 seconds of spoken script for a presentation on [topic]. The hook must create immediate tension, make the audience feel something is at stake, and promise a payoff they can't ignore. No welcome slides. No agenda. Start mid-story.
Read 15 tweets
Feb 27
Holy shit... Someone just built the ultimate prompt collection for AI image creators.

It's called MeiGen, it scrapes the hottest prompt posts from X every week and curates them in one place.

No more bookmarking 50 tweets. No more losing that prompt you saw 3 days ago.

100% free. 100% Open Source.Image
Here's the problem MeiGen solves:

The best AI image prompts live on X.

But they're buried in your bookmarks, your likes, your "I'll come back to this" pile that you never come back to.

MeiGen pulls the hottest ones weekly curated, organized, searchable.
What you get:

→ Weekly curated prompts trending on X (real engagement, not random)
→ Filter by model like NanoBanana Pro, GPT Image, Midjourney
→ One-click generate + save to your collection
→ Real view/like counts so you know what actually performs

The top prompt right now? 159K views on X.
Read 6 tweets
Feb 24
Holy shit... Someone finally benchmarked AI code reviewers on REAL pull requests.

Not demos. Not vibes. Actual F1 scores across 8 tools.

The gap between #1 and #8?

34 percentage points.

Your eng team is probably using the wrong one right now: ↓
@entelligence benchmarked 8 tools on real pull requests.

Every "which code review tool should we use" convo ends the same way:

→ Someone shares a demo
→ Someone shares a vibe
→ Nobody has real numbers
→ Team picks based on brand recognition

That era is over.
The full F1 score breakdown across 8 tools:

🥇 Entelligence — 47.2%
🥈 Codex — 45.4%
🥉 Claude — 42.8%
4. Bugbot — 39.4%
5. Greptile — 36.9%
6. CodeRabbit — 33.0%
7. Copilot — 22.6%
8. Graphite — 13.4%

Copilot at 22.6%. Graphite at 13.4%.

These tools are being sold to your eng team RIGHT NOW.Image
Read 7 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(