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https://twitter.com/73847343/status/1766758275771761004

More from @JafarNajafov

Jafar Najafov

@JafarNajafov

Apr 8

🚨BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory.

It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation.

Not a Chromium fork. Not a hack. A completely new browser written in Zig.

Chrome for headless AI work is a disaster.

→ Eats 1GB+ RAM per instance
→ Slow cold starts
→ Bloated with features you'll never use
→ Nightmare to deploy at scale

If you're running 100s of AI agent sessions simultaneously, Chrome bills are killing you.

Lightpanda fixes all of that.

→ 11x faster execution than Chrome
→ 9x lower memory footprint
→ Instant startup
→ Full JavaScript execution
→ Supports Playwright, Puppeteer, and chromedp via CDP

Same scripts. Zero rewrites. Just plug it in.

Read 9 tweets

Jafar Najafov

@JafarNajafov

Apr 4

🚨BREAKING: Claude can now write your entire job application like a top recruiter.

Here are 10 prompts that turn a job description into a tailored CV, cover letter, and interview prep guide in under 5 minutes (Save this)

1. The “JD → CV Tailor” Prompt

Prompt:

"Act as a senior recruiter. Analyze this job description: {paste JD}. Then rewrite my CV: {paste CV} to match the role. Highlight relevant experience, align keywords, and reframe bullet points to match the employer’s priorities."

This aligns your CV with what recruiters actually scan for.

2. The “Impact Bullet Rewriter” Prompt

Prompt:

"Rewrite my CV bullet points using a results-first format. Turn each line into: action + metric + outcome. Quantify impact wherever possible and remove generic phrasing."

This upgrades weak bullets into high-impact signals.

Read 13 tweets

Jafar Najafov

@JafarNajafov

Mar 31

🚨BREAKING: A Stanford decision science professor called "Thinking, Fast and Slow" the most misread book in business.

Posted in a faculty newsletter at 11pm.

Everyone quotes System 1 and System 2. Almost nobody applies the actual decision frameworks.

Here are the 7 mental models Kahneman buried in part 4 that changed how I make every decision:

First — why Part 4 specifically.

Everyone reads the first half of the book.

System 1 is fast and emotional. System 2 is slow and rational. You have biases. Very interesting.

Then they close it and go back to making the same decisions they always made — just with better vocabulary for why they went wrong.

Part 4 is where Kahneman stops describing how humans think and starts prescribing how to think better.

It's called "Choices."

It's the least discussed section of the most discussed psychology book of the last 20 years.

The Stanford professor's point was simple:

The people who quote this book most confidently are the ones who stopped reading before it got useful.

Here's what they missed.

1/ The Reference Point Trap

Every decision you make is evaluated relative to a reference point.

Not relative to objective reality. Relative to whatever you've mentally anchored as the baseline.

Kahneman's finding: the reference point is almost always arbitrary — and almost always determines the outcome more than the actual options do.

The salary negotiation you lost wasn't lost on the number. It was lost when you accepted their opening offer as the reference point instead of your own research.

The investment you held too long wasn't held because of the fundamentals. It was held because you anchored to the price you paid and couldn't accept realizing the loss.

The practical move: before any significant decision, write down what reference point you're currently using — then ask who set it and whether you would have chosen it deliberately.

Almost every anchoring problem dissolves the moment you make the anchor visible.

Read 10 tweets

Jafar Najafov

@JafarNajafov

Mar 25

BREAKING: NotebookLM can now turn any YouTube playlist into a full online course.

Here are 5 insane prompts to build your own academy this month: (Save for later):

Prompt 1: The Course Architect

Paste your playlist transcript and say:

"Analyze this content and build a full 6-module course outline with:
- Module titles + learning objectives
- 3 lessons per module
- A beginner-to-advanced progression
- Quiz questions for each module"

You get a complete curriculum in 60 seconds.

Prompt 2: The Lesson Builder

Take any single video transcript and say:

"Turn this into a full lesson with:
- A hook that grabs attention in the first 30 seconds
- 5 key concepts explained in simple language
- Real-world examples for each concept
- A summary students can screenshot and save"

Textbook-quality lessons. Zero effort.

Read 9 tweets

Jafar Najafov

@JafarNajafov

Mar 21

BREAKING: Claude can now write business plans like a $25,000 McKinsey consultant (for free).

Here are 7 insane Claude Cowork prompts that can take your biz to $300k/month: (Save for later)

1. Claude Cowork can analyze your market like a McKinsey researcher.

"Research the {{INDUSTRY}} market. Find the total addressable market size, growth rate, top 5 competitors and their estimated revenue, and 3 underserved segments nobody is targeting. Output everything in a table. No fluff. Just data I can put in front of investors."

If your business plan has real numbers instead of guesses, investors take you seriously. Period.

2. Claude Cowork can tear apart your business model and find the holes.

"Here's my business idea: {{PASTE_IDEA}}. Act like a brutal VC partner. Find every weakness in this model — unit economics, customer acquisition cost assumptions, scalability bottlenecks, and competitive moats. List every hole and rate each one: FATAL, SERIOUS, or MINOR. No sugarcoating. Be ruthless."

The best business plans are the ones that already answered every hard question before the investor asks.

Read 9 tweets

Jafar Najafov

@JafarNajafov

Mar 19

I ran an experiment:

Same 50 tasks. ChatGPT vs Claude vs Gemini. No hand-holding.

10 tasks required zero human intervention.

The results changed how I work forever.

Here's what actually works: 👇

1/ Coding apps

Mega prompt you can use to turn any LLM into an expert programmer:

"
# ROLE
You are a senior software engineer with 15+ years of production experience across full-stack development, system design, and DevOps.

# TASK BREAKDOWN
For every coding request, structure your response as:
1. Architecture & Design Decisions - explain the approach and why
2. Implementation - write complete, production-ready code
3. Edge Cases - identify potential failures and handle them
4. Testing Strategy - unit tests and integration considerations
5. Deployment Notes - what to watch in production

# CODE QUALITY STANDARDS
- Include error handling and logging
- Add inline comments for complex logic
- Follow language-specific best practices
- Optimize for readability first, performance second
- Provide security considerations where relevant

# OUTPUT FORMAT
Present code in executable blocks. Explain tradeoffs between different approaches. If something will break at scale, tell me now.
"

2/ Research analysis

I fed Gemini a 40-page research paper on transformer architectures.
Asked it to: extract key findings, identify methodology gaps, and generate 5 follow-up research questions.

Got back a synthesis that would've taken me 6 hours. Took 90 seconds.

The prompt: "Analyze this paper as a PhD researcher. Extract: (1) core thesis, (2) methodology, (3) results with specific metrics, (4) limitations the authors didn't mention, (5) adjacent research directions worth exploring."