Tech Stack

A common founder trap: adding tools because they seem useful rather than because they solve a validated problem. This week teaches you to think strategically about your technology choices.

Understanding tech stacks

The guiding question this week: Could your business run entirely on a spreadsheet?

For many early-stage businesses, the answer is closer to yes than most founders admit. Before adding complexity, understand what you are actually building.

Apps are designed for a specific, singular need. They do one thing well. A scheduling tool, a note-taking app, an invoice generator.

Platforms are flexible and often have ecosystems. They can be extended, integrated, and customized. Think Salesforce, Shopify, or Notion.

Core stack is your digital essentials to run the business and be productive. These are non-negotiable regardless of what you sell.

Specialized stacks are added when you have specific growth needs. They extend your capabilities in targeted directions.

The minimum core stack

Every founder needs these basics covered:

• Email: Communications hub
• Docs: Information management and collaboration
• Calls: Synchronous communication (video and voice)
• Research and AI: Information gathering and analysis
• Payments and records: CRM-like functionality for tracking money and relationships

That is it. Five categories. You can run a surprising amount of business with just these foundations covered well.

When NOT to add tools

Before adding anything new, consider:

Saving money and learning time: Every new tool has a cost beyond the subscription - the time to learn it, maintain it, and integrate it into your workflow.

Manual work builds understanding: In early stages, doing things manually teaches you the nuances that will inform better automation later.

Core stack is often good enough: Most features you think you need can be handled by tools you already have.

Unmeasurable ROI: If you cannot define how you will measure whether the tool worked, you probably should not add it yet.

Integration pain: New tools rarely work in isolation. Each addition increases connection complexity.

Lack of flexibility: You might need to pivot. Tools with steep learning curves and locked-in data create friction when direction changes.

When you MIGHT add tools

Consider new tools when:

Is it reversible? Can you walk away if it does not work out? Avoid tools that lock you in early.

Is it easy and cheap to try? Low-cost experiments are fine. Major commitments are not.

Is it interesting and exciting? Genuine enthusiasm matters for adoption. If you dread using it, you will not use it well.

Does it solve a hair on fire problem? If something is genuinely urgent and painful, the ROI calculus changes.

Specialized stacks by business type

When you do need to expand, the direction depends on your business:

Digital and eCommerce stack

• Shopify, WooCommerce, Big Cartel, Squarespace
• Focus: Online storefronts, multi-channel selling, digital delivery

Physical product stack

• Inventory management, logistics automation, fulfillment
• Focus: Warehouse management, shipping automation, supplier coordination

Growth stack

• Marketing automation, email marketing, analytics
• Focus: Customer acquisition, retention, and measurement

Finance and resource management stack

• Accounting software, invoicing, project management
• Focus: Financial tracking, resource allocation, cash flow visibility

The 7-chain tool evaluation framework

When you decide to evaluate a new tool, do not rely on marketing pages. Use AI to research systematically:

Chain 1: Business context

Before any research, document:

• What you sell, to whom, how
• What makes you unique
• What tools you already use
• Where your time currently goes
• Your most critical need
• Current friction points
• Your technical skill level
• Budget range

This context gets pasted into every subsequent prompt.

Chain 2: Needs discovery

Have AI interview you one question at a time. Let it clarify your actual requirements before researching options. Output: A clear requirements summary.

Chain 3: Platform landscape

Get an honest comparison of four or more options. For each, understand:

• Who it is really for
• True cost (not just advertised price)
• Multi-channel support
• Ease of use for your skill level
• Growth capacity
• The catch (every tool has one)

Chain 4: Integration mapping

How does each option connect to everything else?

• Native vs third-party integrations
• Multi-channel connection costs
• Shipping, taxes, email connectivity
• What glue tools you will need

Chain 5: Deep comparison

Force direct comparison of your two to three finalists:

• Total cost at current volume
• Total cost at five times volume
• Setup time realistically
• Hardest parts of implementation
• What you gain and lose with each

Chain 6: Future-proofing

Stress-test your choice against scenarios:

• What happens at ten times growth?
• What if you add new product lines?
• What if you need both B2B and B2C?
• What if you hire and need to train others?
• What about international expansion?
• Can you export your data easily?

Chain 7: Final decision

Create a decision framework where YOU decide (not AI):

• Score options on three to five criteria that matter most
• Identify real risks with each choice
• Design quick experiments to break ties
• Document your reasoning for future reference

Best practices for choosing tools

Rule 1: Choose the simplest tool that works Start with what you know or can learn quickly. The goal is to move fast, not build the perfect stack. Ask: Does this reduce cognitive load or increase it?

Rule 2: Define the job to be done What specific job are you hiring this tool to do? Is the outcome measurable? Success metrics might be hours saved, steps reduced, conversion lift, or error reduction.

Rule 3: Always test before committing

• Use free versions for minimum one month before paying
• Avoid annual plans until you have three months of consistent use
• Avoid complex onboarding tools early on
• Run one-week sprints comparing your two shortlisted options

Rule 4: Learn from real founder experience Avoid marketing pages. Look for:

• Active communities discussing the tool
• Authentic reviews from people like you
• Word-of-mouth recommendations
• Evidence of active development and clear roadmap

Rule 5: Quarterly tech stack audit Every quarter, ask:

• What did I actually use?
• How frequently?
• Worth the cost?
• Did it move key metrics?
• Decision: Upgrade, keep, replace, or test alternative

Critical questions for any tool

Before committing:

• Does it have an API? (Future-proofs your data access)
• Can I export my data in standard formats?
• What else can it do beyond my primary use case?
• True cost: base plus fees plus add-ons plus integration tools?
• At five times volume, what changes?
• How painful would it be to switch to an alternative?

Key takeaway

Technology choices should follow business understanding, not precede it. Use the evaluation framework to make informed, reversible decisions. The best tech stack is the simplest one that handles your actual needs - nothing more.