Customer Development
Here's how it works:
1. Build-Measure-Learn feedback loop
→ Critical first step from The Lean Startup
2. Minimum Viable Product (MVP) concept
→ Key principle by Eric Ries
Customer Development
Here's how it works:
1. Build-Measure-Learn feedback loop
→ Critical first step from The Lean Startup
2. Minimum Viable Product (MVP) concept
→ Key principle by Eric Ries
Key concepts from the book:
• Disruptive Innovation
• Market Dynamics
The main takeaway:
Market Dynamics is essential for startup success.
How this applies to your startup:
Key concepts from the book:
• Disruptive Innovation
• Market Dynamics
The main takeaway:
Market Dynamics is essential for startup success.
How this applies to your startup:
One insight that changed my thinking:
Performance measurement
Why this matters:
• Improves results by 40%
• Reduces risk significantly
• Enables faster growth
Real-world application:
One insight that changed my thinking:
Performance measurement
Why this matters:
• Improves results by 40%
• Reduces risk significantly
• Enables faster growth
Real-world application:
I learned this from The Lean Startup by Eric Ries.
Here's what actually actually works:
1. Build-Measure-Learn feedback loop
→ From The Lean Startup
2. Minimum Viable Product (MVP) concept
I learned this from The Lean Startup by Eric Ries.
Here's what actually actually works:
1. Build-Measure-Learn feedback loop
→ From The Lean Startup
2. Minimum Viable Product (MVP) concept
I learned this from The Startup Owner's Manual by Steve Blank.
Here's what actually actually works:
1. Customer development process
→ From The Startup Owner's Manual
2. Business model canvas
I learned this from The Startup Owner's Manual by Steve Blank.
Here's what actually actually works:
1. Customer development process
→ From The Startup Owner's Manual
2. Business model canvas
I learned this from The Pragmatic Programmer by David Thomas & Andrew Hunt.
Here's what actually actually works:
1. Software craftsmanship principles
→ From The Pragmatic Programmer
2. Debugging and problem-solving
I learned this from The Pragmatic Programmer by David Thomas & Andrew Hunt.
Here's what actually actually works:
1. Software craftsmanship principles
→ From The Pragmatic Programmer
2. Debugging and problem-solving
Due Diligence Process
Here's how it works:
1. Term sheet negotiation
→ Critical first step from Venture Deals
2. Valuation methodologies
→ Key principle by Brad Feld & Jason Mendelson
Due Diligence Process
Here's how it works:
1. Term sheet negotiation
→ Critical first step from Venture Deals
2. Valuation methodologies
→ Key principle by Brad Feld & Jason Mendelson
I learned this from The Hard Thing About Hard Things by Ben Horowitz.
Here's what actually actually works:
1. Managing through crisis and uncertainty
→ From The Hard Thing About Hard Things
2. Hiring and firing decisions
I learned this from The Hard Thing About Hard Things by Ben Horowitz.
Here's what actually actually works:
1. Managing through crisis and uncertainty
→ From The Hard Thing About Hard Things
2. Hiring and firing decisions
Key concepts from the book:
• Hook Model
• Variable Rewards
The main takeaway:
Hook Model is essential for startup success.
How this applies to your startup:
1. Understand the core principle
Key concepts from the book:
• Hook Model
• Variable Rewards
The main takeaway:
Hook Model is essential for startup success.
How this applies to your startup:
1. Understand the core principle
Breaking: India needs 1.32 million charging stations by 2030 - requiring 4,00,000 installations annually Electric Vehicles: Electric Vehicle Industry in India and its Growth to support EV growth.
Breaking: India needs 1.32 million charging stations by 2030 - requiring 4,00,000 installations annually Electric Vehicles: Electric Vehicle Industry in India and its Growth to support EV growth.
Just in: Electric vehicle sales in India grew 45% year-on-year in Q1 2025, with nearly 35,000 electric cars sold. But here's what's really exciting:
Just in: Electric vehicle sales in India grew 45% year-on-year in Q1 2025, with nearly 35,000 electric cars sold. But here's what's really exciting:
They created a "Periodic Table of Machine Learning" that connects 20+ classical AI algorithms.
The breakthrough? One unifying equation explains them ALL.
They created a "Periodic Table of Machine Learning" that connects 20+ classical AI algorithms.
The breakthrough? One unifying equation explains them ALL.
It's not just route optimization.
It's predictive everything.
**What's happening right now:**
AI systems are analyzing driver behavior in real-time:
• Acceleration patterns that waste energy
It's not just route optimization.
It's predictive everything.
**What's happening right now:**
AI systems are analyzing driver behavior in real-time:
• Acceleration patterns that waste energy
But here's what nobody's talking about:
This isn't just another AI writing tool funding round.
It's a masterclass in how to evolve beyond your original product.
**The Evolution:**
But here's what nobody's talking about:
This isn't just another AI writing tool funding round.
It's a masterclass in how to evolve beyond your original product.
**The Evolution:**
If CAC > LTV, you don't have a marketing problem—you have a business model problem.
If CAC > LTV, you don't have a marketing problem—you have a business model problem.
Here's what I'm seeing across platforms (and what it means for founders):
**The "Authenticity Arms Race"**
→ 90% of consumers now demand authentic content
→ Brands are ditching polished posts for behind-the-scenes chaos
Here's what I'm seeing across platforms (and what it means for founders):
**The "Authenticity Arms Race"**
→ 90% of consumers now demand authentic content
→ Brands are ditching polished posts for behind-the-scenes chaos
But it's not happening where you think.
While everyone waits for mega-deals and IPO recovery, smart acquirers are quietly shopping the "2021-2022 distressed asset sale."
Here's the play:
But it's not happening where you think.
While everyone waits for mega-deals and IPO recovery, smart acquirers are quietly shopping the "2021-2022 distressed asset sale."
Here's the play:
Nobody's building AI agents anymore.
They're all building tools to make OTHER people's AI agents better.
The shift is subtle but massive:
**2023-2024**: "We're building an AI agent that does X"
Nobody's building AI agents anymore.
They're all building tools to make OTHER people's AI agents better.
The shift is subtle but massive:
**2023-2024**: "We're building an AI agent that does X"
Here's what's really happening:
• Late-stage rounds are MASSIVE (thanks to OpenAI's $40B round)
• Seed funding down 14% YoY to just $7.2B
Here's what's really happening:
• Late-stage rounds are MASSIVE (thanks to OpenAI's $40B round)
• Seed funding down 14% YoY to just $7.2B
While most founders rush to build a minimum viable product, the most successful entrepreneurs I've worked with start with something completely different—and reach product-market fit significantly faster as a result.
While most founders rush to build a minimum viable product, the most successful entrepreneurs I've worked with start with something completely different—and reach product-market fit significantly faster as a result.
If CAC > LTV, you don't have a marketing problem—you have a business model problem.
If CAC > LTV, you don't have a marketing problem—you have a business model problem.
While we think we're discovering new ideas scrolling through our feeds, most of us are trapped in algorithmic echo chambers that reinforce existing knowledge rather than surfacing transformative insights.
While we think we're discovering new ideas scrolling through our feeds, most of us are trapped in algorithmic echo chambers that reinforce existing knowledge rather than surfacing transformative insights.
While most founders obsess over their initial idea, the best ones obsess over evidence that will prove them wrong as fast as possible.
While most founders obsess over their initial idea, the best ones obsess over evidence that will prove them wrong as fast as possible.
They're hiding in plain sight, building and sharing knowledge in specialized communities that most professionals never discover.
They're hiding in plain sight, building and sharing knowledge in specialized communities that most professionals never discover.
They start with the technology, then search for problems.
This approach fails 83% of the time.
Here's how leading organizations approach AI implementation instead:
1. Start with the business friction, not the technology
They start with the technology, then search for problems.
This approach fails 83% of the time.
Here's how leading organizations approach AI implementation instead:
1. Start with the business friction, not the technology