LEANSTACK

We build world-class tools, content, and coaching resources that help entrepreneurs succeed.

Authored Running Lean
Authored Scaling Lean
Created Lean Canvas

Founder/CEO

WiredReach

WiredReach enables the creation of dead-simple peer to web applications that blur the boundaries between the desktop and web. Our flagship product is BoxCloud - a dead-simple way for creatives to share large files with clients and co-workers.

Founder

Sonus Networks

Prior to founding WiredReach in 2002, Ash was Director of Software Development at telecom technologies inc., which was subsequently acquired by Sonus Networks in 2001. Ash built and led the development team responsible for tti’s distributed Voice over IP Softswitch product.

Director of Software Development

telecom technologies inc

He joined tti as a local number portability (LNP) expert at a time when tti was transitioning from a professional services company to a product company. He help put together a team and led the development project for their flagship product.

Nortel

Was part of an initial team of 5 people that later grew to 70 working on a local number portability administration system.

Software Engineer

Founder/CEO @ LEANSTACK | Bestselling author and founder

I have bootstrapped several products to millions of users and worked with thousands of early-stage entrepreneurs worldwide - helping them systematically find repeatable and scalable business models using my battle-tested playbooks. 

Instead of:
-Spending several months building a product you hope people will buy.

Imagine a world where you:
- Spend several weeks defining a product you know people will buy.

For aspiring or early-stage founders:

If you’re looking to bootstart your idea, consider joining my 30-day Business Model Design Challenge below: 

You'll learn how to:
- Find or test a big idea worth pursuing,
- Design a business model blueprint,
- Stress-test your idea before investing time, money, and effort. 

Join the next Business Model Design Challenge:
https://runlean.ly/challenge

Ash Maurya

“Startups don't starve. They drown...”

They drown in too much information, too much analysis, too much conflicting feedback, too much "important" work.

Where do you start?

Even mantras like "right action, right time," I espouse, run up against practical ground realities.

Most people simply guess or vibe their way, but here’s the expensive reality: When you don’t have a systematic way to prioritize and pick what feels most urgent or what the loudest customer complained about, you end up burning time, cash, and momentum.

In this week's YouTube video, I outline a 4-step prioritization framework I use for picking where to focus. It combines a popular product priorization framework, RICE, with Fermi Estimations.

RICE stands for:
• Reach: How many customers will this impact?
• Impact: What's the value per customer?
• Confidence: How certain are we?
• Effort: What's the cost to build?

The formula: (Reach × Impact × Confidence) ÷ Effort

But here's the problem most people face: How do you score objectively without fooling yourself?

Should onboarding be a 7 or an 8? Is that feature worth $5,000 or $7,500?

This is where Fermi estimation comes in...

Instead of false precision, I use order-of-magnitude scales:
• Reach: 1, 10, 100, 1,000, 10,000, 100,000
• Impact: $100, $1K, $10K, $100K
• Confidence: 20%, 50%, 80%
• Effort: 2 hours, 2 days, 2 weeks, 2 months

You go from fudging numbers to justify the thing you want to build to prioritizing the right work. More in the full video...

Running Lean & Lean Canvas | Helping first-time founders (everywhere) succeed through battle-tested playbooks.

The biggest mistake in launching a startup isn't moving too fast.

It's validating for too long.

After validating hundreds of business models, I've seen a pattern: Most founders get stuck chasing validation—surveys, interviews, feedback loops—hoping that one more data point will finally give them certainty.

But here's the truth: You'll never have perfect validation because startups are not an exact science. And no funnel ever converts anywhere near 100%.

The real question isn't "How do I get perfect validation?"

It's "How do I know when I have SUFFICIENT evidence to move forward?"

Three validation traps that waste time:

Trap #1: Confusing Learning with Traction
I've had founders tell me: "I ran over 50 customer interviews!" That's great—but when I ask "How many customers did you convert?" the number is disappointingly low or zero. In startups, you don't get a gold star for following a process. You get results from traction.

Trap #2: Waiting for Statistical Significance
Some founders dismiss customer conversations as "not statistically significant" and instead chase landing page experiments. Here's reality: When 10 out of 10 people tell you they don't want your product, that IS statistically significant. Plus, people grossly underestimate how much traffic and conversions you need for statistical significance. With limited runway, you can't afford to wait.

Trap #3: Over-Planning
Founders spend months creating pixel-perfect pitch decks, 5-year financial models, comprehensive competitive analysis, and elaborate business plans. Then they launch and learn it's all wrong. This isn't "being thorough." This is analysis paralysis disguised as validation.

The solution? The Minimum Success Criteria Framework.

You don't need perfect validation. You need minimum sufficient evidence at three levels:
- Founder level (3-year goal)
- 90-day cycle (quarterly traction)
- Experiment level (2-week tests)

Define your minimum threshold BEFORE you start, not AFTER. Make it specific, measurable, and tied to traction—not vague vibes like "everyone loved it."

Full framework breakdown in this week's YouTube video.

First-time founders obsess about their

- company/product name,
- domain name,
- logo.

Good names and domains are hard to come by and premature optimization. 

Second-time founders obsess about building something worth naming. 

Then they buy whatever name they want. 

Starting Risks  Scaling Risks.

Stop Obsessing Over Your Startup Name

You can teach an AI agent to code, but can you teach it to build, measure, and learn? 

We just did. 

Check out the latest LEANSpark episode here: 
https://lnkd.in/gDcqKPwz

Next unlock achieved: 
LEANSpark can now design and run 90-day cycles and LEAN sprints. 

It has full memory of your business model, metrics, and experiments... So you don't have to do context/prompt sit-ups... It's ready to hit the ground running when you are.

Stop building MUPs
MUP = Maximally Undifferentiated Product

Most MVPs Fail Because Founders Build the Wrong Thing

When there's lots of uncertainty, you need light-weight dynamic models, not heavy-weight static plans.

Choose
- a Lean Canvas over a Business Plan
- a Fermi Estimate over a financial forecast spreadsheet
- a Traction Roadmap over a Product Roadmap

Yesterday: Episode 1 went live.

146 founders got full access to the first behind-the-scenes validation session.

What they're watching: The backstory behind the most ambitious project I'm undertaking: Build a daily AI-cofounder for systematic startup validation.

This isn't theory. It's real work. Real uncertainty. Real decisions.

13 weeks of systematic validation, completely over-the-shoulder.

You can watch Episode 1 (the pilot) here: https://lnkd.in/g9WvtG9H

Full access (all 13 weeks): https://lnkd.in/gBSar2bS

Next Friday: Week 2 - Business Model Stress-testing

 #LeanStartup #ProductValidation #BuildingInPublic

Open article: Your AI co-founder for systematic validation by leanspark.leanfoundry.com

Your AI co-founder for systematic validation

You have a starting business model. You know what needs to be tested.

But you're staring at 50 different experiments you could run.

Which one do you start with?

Most founders freeze. Analysis paralysis sets in.

Or worse - they try running all 50 at once and make slow progress on everything.

Time is your scarcest resource. 

And you make the most progress by focusing on the right actions, not all actions, at the right time. 

---

Episode 3 of the LEANSpark Over-the-Shoulder series (dropping Friday) shows you how I solve this:

✓ Why 90-day cycles are the "Missing Middle" between your 3-year goal and daily tasks

✓ How to design a validation cycle that prioritizes your riskiest assumptions

✓ The actual 90-day plan LEANSpark designed for me 

✓ Real results: 142 paying customers in 14 days using this framework

Practice trumps theory. 

I'm documenting the entire LEANSpark launch in real-time - the decisions, the pivots, the lessons learned.

Watch the full series:
👉 https://lnkd.in/gDcqKPwz

Episode 1: How LEANSpark started (the origin story)
Episode 2: Business Model Stress Testing (finding blind spots)
Episode 3: 90-Day Cycle Planning (drops Friday)

If you're building a startup and tired of guessing which experiment to run next, this is for you.

Open article: LEANSpark - Over the Shoulder Series by leanfoundry.com

WordsMine

Head of Student Success Solutions

Lead The Change

Product Advisor

DlynX (formerly MercTechs)

Lead Business Analyst

55 Kitchen

Head of Product Operations

Seedcom

Product Manager

SoBanHang (Finan Pte Ltd)

Data Product Manager

Sonkim Retail

Customer Analytics Executive Seniority

Trusting Social

Trusting Social is a Fintech and AI company that pioneers alternative credit
scoring for emerging markets using telecom data and other new data sources.
My responsibilities include conducting full lifecycle analysis to include
requirements, activities and design. I develop analysis and reporting
capabilities. I also monitor performance and quality control plans to identify
improvements. My works in details as below:
- Interpret data, analyse results using statistical techniques and provide
ongoing reports.
- Develop and implement databases, data collection systems, data analytics
and other strategies that optimise statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain
databases/data systems.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Work with management to prioritise business and information needs.
- Locate and define new process improvement opportunities.

Data Analyst

Kantar Worldpanel Vietnam

- Be responsible for receiving requests from other departments,
communicating and taking care the requests with high quality and on-time
delivery.
- Receive and analyze requirements from management level (or other
departments), then respond what issues should be clarified or changed.
- Allocate human resource and arrange time reasonably so that the tasks will
be complete well as assigned.
- Propose solutions to solve the problems that can arise during tasks
implementation.
- Back check the results from other member’s working to ensure they are
complete and work correctly as requirement.
- Be a supervisor who is responsible for following, monitoring the team
performance and ensuring the processes/assignments to be complete on time.
- Report to management level (or other departments) to ensure they can
understand and follow state of affairs.
- Take care multiple tasks at same time and make sure these tasks can be
completed on time.
- Be willing to work overtime to finish the projects on schedule.
- Control and maintain all programs in production system.
- Manage the progress and effectiveness of the department.
- Strictly follow and report the performance of team members to manager.
- Coach and support the team members in technical issues as well as task and
time management so that they can achieve better performance.
- Full support the manager for operating the department smoothly.
- Look for new approaches to improve the operation from good to great.

Assistant Production Manager

- Market research data processing.
- Checking data and make sure error free on data before sent to client.
- Control and maintain all programs utilized in production system in co-
ordination with the Production Manager.
- Database/Output Services: Setting up and maintaining databases to client
specification.
- Database Preparation/Quality Control: Itemization maintenance, validation,
report inspection.
- Database Administration: Scheduling, in house reporting, change control.
- Quality Check: Big purchase, No Purchase …
- Contact with other departments to get requirements, feedback, and materials
for tasks implementation.
- Be a supervisor who is responsible for delivering databases on time.

Senior Production Executive

Production Executive

As a Transformation & Excellence Catalyst, I orchestrate change at the intersection of business strategy, product innovation, and execution efficiency. My current focus is revolutionising knowledge acquisition through evidence-based learning methodologies that make knowledge retention effortless and measurable.

I lead product strategy for an EdTech venture transforming how learners build specialised vocabulary across multiple languages and professional domains. Our approach is grounded in cognitive science research demonstrating that targeted vocabulary acquisition is the cornerstone of language mastery and professional advancement.

Core Philosophies:
* Empiricism: Leveraging experimentation and evidence-based learning design
* Systems Thinking: Understanding knowledge acquisition as an interconnected ecosystem
* Lean Innovation: Applying discovery-driven planning to educational outcomes
* Quality Excellence: Embedding execution excellence in product development

Impact Areas:
* EdTech Product Strategy & Development
* Evidence-Based Learning Methodologies
* Knowledge Acquisition Systems
* Digital Learning Transformation
* Data-Driven Educational Outcomes

I aim to catalyse sustainable learning transformation through execution excellence and strategic innovation. I'm committed to making knowledge acquisition frictionless, contextual, and directly connected to academic and professional outcomes.

Personal Motto: 'BOLDLY ENVISAGE, RIGOROUSLY PROVE'

Open to strategic partnerships, product advisory roles, and knowledge exchange in EdTech innovation and evidence-based learning methodologies.

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Ash Maurya

Tien Le

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The Battle

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ash Maurya's LinkedIn Performance

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