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

Wintershall Dea

Leading end-to-end development of an in-house AI-based solution for well integrity monitoring, delivering 1 million Euros in annual savings. Managing a cross-functional team of 7 team members (domain experts, data engineer, data scientists, machine learning engineer, UI designer, and full-stack software developer). Driving business objectives through stakeholder engagement and agile methodologies.

Key responsibilities:
- Established product vision and roadmap, securing leadership buy-in
- Led the development from Proof of Concept (PoC) to Minimum Viable Product (MVP), ensuring Continuous Integration/Continuous Deployment (CI/CD) principles and user-centric design
- Scaled the product to multiple business units, enhancing company-wide impact

Key achievements:
- Honoured with the 2023 Productions and Operations Award by the Society of Petroleum Engineers (SPE) for the European region
- Published and presented project results in two international conferences (SPE-211093 and SPE-220003)

Product Lead

Leading IoT implementation pilot project, improving operational efficiency by 7%. Managing a cross-border team of 10 members across Germany, Mexico, and the Netherlands.

Key responsibilities:
- Defined the scope and roadmap for phased IoT implementation
- Researched and evaluated IoT technology, including sensors, connectivity, and cloud architecture
- Integrated IoT system into IT corporate network and cloud,adhering to cybersecurity standards

Technology Project Manager

Assigned in EOR Department within Technology and Innovation Division. Contributed to R&D projects, increasing oil reserves by over 50 million barrels. Consistently delivered high-quality technical works within deadlines. Published and presented technical findings at international conferences.

Achievement :
- MEOR Huff-and-Puff pilot (SPE 185785)

Senior Production Technologist

PETRONAS

Assigned in MPM (Malaysia Petroleum Management) and worked under SSM (Sub Surface Asset Management) team. Responsible to evaluate the development, exploitation, and production in Sarawak area fields in order to comply with good reservoir management practices and to achieve optimum recovery of reserves.

Senior Petroleum Engineer

Medco Oman LLC

Assigned to Medco Oman LLC as TFA (Temporary Foreign Assignment) and worked under WRM (Well and Reservoir Management) team. Responsible to monitor and optimize production from Karim Small Field (200 wells) in order to achieve production target and to arrest production decline (reservoir surveillance program, artificial lift design and troubleshooting, well intervention, stimulation, recompletion and well integrity). Involve and in charge for various production enhancement studies and IOR/EOR projects (thermal and chemical EOR).

Achievements :
1. Passive ultrasound cased hole logging for casing integrity assessment (SPE 158575)
2. H2S mitigation in oil producer wells (The Best Improvement from Area Production Engineering, Medco Energi International Award 2012)
3. Formation damage study to evaluate wellbore clean-up in horizontal well (SPE 166672)
4. Cyclic steam stimulation project (SPE 169683)

Production Technologist

Medco E&P Indonesia

Hired as fresh graduate through Graduate Engineer Trainee Batch 3 program. Assigned to Kalimantan asset as Petroleum Engineer Surveillance for 2 years. Rotated back to Jakarta office as Production Engineer.

Achievements :
1. Construct Kaji-Semoga Integrated Production Model (SPE 128381, 3rd Best Overall Improvement in Medco Energi International Award 2009)
2. Research collaboration with ITB for surfactant injection stimulation (3rd Best Overall Improvement in Medco Energi International Award 2010)

Production Engineer

Over the past 20 years+, I’ve worked across the energy sector, from field operations to leading global AI and IoT programs. One principle anchors everything I build: "Technology only creates value when it's trusted by the people who use it."

In upstream E&P, I helped detect failure signals before they escalated. Today, across scaling solar, wind, storage, and grid systems, I see the same hidden pattern: "When telemetry outpaces interpretation, trust quietly leaks and ROI quietly dies."

Some of the work I’m proud of:
- Built an AI-based well integrity tool that saved €1M in two countries
- Delivered a real-time IoT system that boosted field efficiency by 7%
- Honoured with the SPE Production & Operations award (Europe, 2023)

Now, I help energy operators close the gap between model output and trusted action, before blind spots scale into system failures that drain ROI. My work decodes friction in complex systems: surfacing what judgment patches, telemetry overload, and misaligned models silently cost you. Each insight becomes part of a "Trust Operating System": layered frameworks, diagnostic tools, and interpretive lenses to restore decision clarity.

🔍 Friction Diagnostics
Tailored scans that uncover judgment drift, trust debt, and telemetry overload. No templates. Only co-designed, field-tuned clarity.

🧠 Interpretive Frameworks
Custom logic layers that restore trust: calibrated thresholds, contextual alerts, and human-in-the-loop decision flow.

📬 Signal Drift
Friction-led insights for ops leaders scaling AI and digital tools -> https://aditama.substack.com/

If you own the trust loop (the final interpretive load between model and action), let's compare notes.
I don't sell dashboards or models. I design what makes them trusted.
You don't have to patch judgment drift in silence.

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Ash Maurya

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Prihandono Aditama

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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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