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.

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1. Follow me @hasantoxr for more of these
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More from @hasantoxr

Apr 30
China just open-sourced a trillion-parameter model that burns fewer tokens than your favorite "efficient" US model.

Ling-2.6-1T is now public, inspectable, and benchmarkable.

The closed-model moat just got smaller.
Ant Group dropped this as a flagship, not a research toy.

1T parameters. Non-reasoning architecture. Fast-thinking by design.

It's not built to impress you with long chains of thought.

It's built to finish the task in fewer tokens than the models you're currently paying for.
The core obsession here is useful intelligence per token.

Most frontier models burn tokens narrating their thinking before they do anything.

Ling-2.6-1T skips the theater and goes straight to execution, which is the part that actually moves work forward in production.
Read 7 tweets
Apr 28
DeepSeek V4 just went live on ZenMux with free versions at launch.

Same coding power as Claude Opus 4.7.
7x cheaper on Pro. 90x cheaper on Flash.
1M native context. MIT licensed.

Here's how to swap it into Claude Code in 3 minutes 👇
First, the numbers everyone's freaking out about.

Claude Opus 4.7 output: $25/M
DeepSeek V4-Pro output: $3.48/M
DeepSeek V4-Flash output: $0.28/M

SWE-bench Verified:
→ Opus 4.7: 80.8%
→ V4-Pro: 80.6%

Tied on coding. Tiny fraction of the bill. Image
The architecture that makes it possible.

1.6T total parameters. Only 49B activated per token.
Compute requirements: 27% of the previous generation.
KV cache: slashed to 10%.

This is efficient MoE shipped at frontier scale.
Read 14 tweets
Apr 27
Wow... A YC-backed startup just turned game development into a single text box.

It's called CodeWisp. Type what you want and it gives you a playable game right in your browser.

No Unity. No Godot. No 5 years of tutorials. Just describe and play.

100% browser-based.
CodeWisp is a browser-based AI game builder backed by Y Combinator.

You describe the game you want in plain English.

It generates the complete code, structure, and assets automatically.

2D games. 3D games. Multiplayer browser games. All from a single prompt.
Here's how the workflow actually runs:

→ Open the browser editor (no download, no install)
→ Describe your game: mechanics, enemies, physics, levels, visuals
→ CodeWisp generates it instantly
→ Prompt edits to refine anything
→ Publish with a shareable link in one click

That's it. That's the whole process.
Read 8 tweets
Apr 24
Ok this feels like cheating.

AntLingAGI dropped a 1T parameter model that runs like it's 7B.

No reasoning-model delay. No 40-second thinking spiral. Just instant answers at frontier scale.

Free on OpenRouter starting tonight for a full week.

Here's what I found after testing it ↓Image
First thing I noticed: token efficiency is wild.

Most 1T-class models burn through context like they're trying to lose a bet. Ling-2.6 gets to the answer without the usual 800-token preamble about what it's "about to do."

Feels built by people who actually use these models. Image
1M context window.

I threw an entire repo at it. No degradation at depth. Pulled specifics from the middle of the context without the usual "lost in the middle" collapse.

This alone makes it worth testing if you work with large codebases or long docs. Image
Read 8 tweets
Apr 18
Google has a recording of every search you've ever made.

Every place you've ever been. Every YouTube video you've ever watched.

Go to right now.

You'll find searches from 2015. Voice recordings. GPS coordinates.

All stored. All linked to your name.

Here's how to see it and delete it:myactivity.google.com
This isn't a conspiracy theory.

A peer-reviewed study from Trinity College Dublin found that your Android phone contacts Google's servers every 4.5 minutes.

Even when you're not touching it. Even when the screen is off.

It sends your device ID, your phone number, your SIM serial number, and your location.

Even if you never signed into a Google account.

Source: Professor Douglas Leith, Trinity College Dublin, 2021.
How much data does Google have on you?

People who downloaded their full Google data reported files of 30, 60, even 150+ gigabytes.

That's the equivalent of tens of thousands of books. All about one person. You.

Go to . Download yours. See for yourself.

Warning: it can take hours to process. That should tell you something.takeout.google.com
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Apr 17
Ok this is kind of wild.

A mystery 100B model just appeared at the top of OpenRouter out of nowhere.

No model card. No announcement. No idea which lab made it.

It's called Elephant Alpha and it's already beating half the paid models on the leaderboard. Image
The specs are what make it weirder.

→ 100B parameters
→ 256K context window
→ 32K output tokens
→ Function calling + structured output + prompt caching
→ $0 per million input tokens
→ $0 per million output tokens

You could run this against a full codebase today for free.
What actually sets it apart is the efficiency angle.

Most 100B models burn tokens like it's 2023. Elephant is tuned the other way, same answer, fewer tokens, lower latency.

Translation: cheaper agents, faster code completion, less context bloat on long docs.

This is the part nobody's screenshotting.Image
Read 7 tweets

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