Tech Stack Decisions are Make-or-break for Startups

The success of startups often relies not only on the originality of the idea but also on the team's ability to swiftly adapt to changes, make efficient use of limited resources, and bring innovative solutions to the market. However, when choosing technologies, early-stage founders frequently encounter a variety of challenges.

According to a CB Insights study, around 38% of startups fail due to a lack of funding, with technical errors and poorly chosen tools directly contributing to increased costs for product support and development.

For example, in 2016, the startup Zenefits lost millions of dollars due to errors related to their technology stack, including the use of outdated tools and insufficient system scalability. This slowed down the company's growth and undermined investor confidence.

To minimise these risks, more and more startups are opting for a lean tech stack—an optimised technology stack that allows them to build products with minimal costs while maintaining quality and flexibility.

This approach helps to:

• Launch an MVP (minimum viable product) faster and receive initial feedback from users.

• Attract early customers and investors by focusing on creating value rather than managing complex infrastructure.

• Support business growth without costly migrations to new platforms.

  
  

For example, the startup  Buffer, which started with a simple tech stack, was able to quickly test its idea, attract its first users, and then scale gradually by adding new tools as needed.

In this article, we will take a detailed look at:

• The key principles of building a lean tech stack and its benefits for startups.

• The common mistakes to avoid when choosing technologies.

• Real-life cases and examples of lean tech stack usage, supported by data and insights.

  
  

This knowledge will help you understand how to choose the optimal technology stack to accelerate development, reduce risks, and lay the foundation for long-term success.

What is a Lean Tech Stack and how is it used?

A Lean Tech Stack is a minimalist approach to selecting and using technologies aimed at optimising the development and maintenance of digital products. The main idea is to minimise redundancy and focus on the efficient use of resources — time, money, and human effort. This approach is especially beneficial for startups, which need to quickly enter the market and adapt to changing conditions.

4 key principles of Lean Tech Stack

1. Minimalism

   Using only the technologies and tools that directly contribute to achieving goals. "Heavy" solutions that require significant investment and complex implementation are excluded.

2. Flexibility

   Choosing technologies that are easy to scale or replace, depending on the business needs.

3. Speed of Implementation

   Preferring tools with simple integration and training, allowing the team to start working more quickly.

4. Cost-effectiveness

   Using free or affordable solutions in the early stages.

Examples of successful companies using Lean Tech Stack

Let’s look at how well-known companies applied this strategy in their early stages.

Airbnb

Founded in 2008, Airbnb needed to quickly scale its platform to meet the growing demand for unique and affordable accommodation options for travellers. The Rails framework proved to be the perfect solution for supporting this rapid growth. Airbnb  chose  Ruby on Rails  to build its platform in the early years of its existence.

• Why Ruby on Rails?

This framework is known for its simplicity and rapid development speed, enabling teams to launch products to the market faster.

• Advantages:

  1. Focus on functionality: Engineers were able to spend more time developing the user experience.
  2. Quick integration: Ruby on Rails enabled quick development and implementation of new features.
  3. Community: A large developer community helped quickly find solutions and share experiences.

Airbnb case clearly demonstrates how one can focus on user value rather than complex infrastructure.

Dropbox

Dropbox  chose Python  as the primary programming language at the start, and this became a key factor in their success.

Why Python ?

This language has a rich standard library and a wide range of tools for developers.

• Advantages:

  1. Convenient scalability: Python  allowed for rapid functionality growth while maintaining stability.

  2. Ecosystem: Python  libraries and tools accelerated the implementation of complex tasks, such as file synchronisation.

  3. Development speed: The simplicity of the language allowed the team to focus on innovation rather than technical details.

     
     

The secret of Dropbox – is the smart balance between development speed and product quality. Source: TechCrunch: How Dropbox Started.

Research: Analysis of technology costs in startups

Data on the distribution of startup budgets for technology

According to research conducted by Startup Genome and CB Insights, startups spend an average of 25-35% of their budget on technology and IT infrastructure.

Approximate distribution of startup budgets on technology:

Common mistakes of early-stage startups

1. Tool redundancy
   • At the launch stage, startups often opt for more complex solutions than necessary. For example, they may choose expensive CRM systems instead of free alternatives.
   • An example of this mistake: Choosing SalesForce for customer management when a free plan from HubSpot would be sufficient.
2. Overpaying for licenses
   • Many startups pay for premium features that go unused.
   • An example of this mistake: Purchasing DevOps, tools that duplicate the capabilities of cloud providers (for example, Terraform and AWS CloudFormation).
3. Underestimating the costs of scaling
   • Using tools that can't handle traffic growth and require a complete replacement at later stages.

An example of this mistake: Choosing databases that aren’t built for high loads, leading to the need for migration later on.

Survey and research results

Popular tools among startups: Key findings from the surveys:

• About 60% of startups begin with the free plans of popular SaaS tools. This helps minimise costs in the early stages, when budgets are tight.
• 70% of startup founders admitted that up to 20% of their budget was spent on unnecessary tools.
• Approximately 50% of startups opt for open-source technologies to reduce costs.

Distribution of the technology budget Resources for the diagram:

Gartner IT Budget Report 2024.

McKinsey Insights on Technology Investments.

Forrester's Guide to IT Spending 2024.

How to choose tools for a Lean Tech Stack?

Step 1: Defining the startup's needs

Before choosing tools, it’s important to have a clear understanding of the business needs, which can vary depending on the stage of development.

1.1 MVP Stage (Minimum Viable Product)

At this stage, a startup needs to focus on quickly launching the product with a minimal set of features. The main goal is to test hypotheses and gather user feedback.

Main tasks:

• UI Development.
• Database Setup.
• Web Server Deployment.

Recommended tools:

• Frontend: React — a library for building user interfaces.
• Backend: Node.js — a server-side platform for rapid development.
• Data Storage: MongoDB — NoSQL database, ideal for dynamic data.
• Testing: Jest — a tool for testing JavaScript applications.

Example: The startup "FastShop" used a combination of React and Node.js to build a basic e-commerce site in 3 months. MongoDB helped quickly set up the database to store information about products and orders.

1.2 Scaling Stage

When the product starts attracting more users, tools that support business growth and high traffic loads are essential.

Main tasks:

• Automation of Processes.
• Customer Data Management.
• User Behaviour Analysis.

Recommended tools:

• Infrastructure: AWS or Google Cloud for scalable servers.
• Analytics:: Google Analytics for tracking user metrics.
• CRM: HubSpot for customer management.

Example: The startup "Growly" integrated AWS Lambda for processing large volumes of data and connected HubSpot to manage its growing customer base.

2.Evaluation of Key Tasks

Each startup has three core areas of operation, for which tools are selected: development, marketing, and management.

2.1. Development

The choice of programming languages, frameworks, and testing tools plays a key role in the speed and quality of development.

Recommended tools:

• Frameworks: Django (Python), Express.js (Node.js).
• Version Control: GitHub or GitLab.

CI/CD: Jenkins or GitHub Actions.

2.2. Marketing

Attracting customers and analysing traffic data require reliable marketing platforms.

Recommended tools:

• Email campaigns: Mailchimp.
• SEO-analysis: Ahrefs or SEMrush.
• Social media:: Buffer  for automating posts.

2.3. Management

Organising team workflows and documentation requires simple and user-friendly tools.

Recommended tools:

• Task management: Trello or Asana.

Documentation:Notion or Google Workspace.

Step 2: Tool Analysis

Overview of popular tools:

Step 3: Building the ecosystem

1. Examples of successful tool integrations:
   • Slack + Notion + GitHub:
     Suitable for teamwork, task management, and documentation, especially for developers.
   • Trello + Google Drive + Zapier:
     For startups looking for simple task automation and convenient file storage.
   • Firebase + Stripe + Mixpanel:
     Perfect for startups with mobile applications and a need for user activity analytics.\
2. Recommendations:
   • Start with tools that easily integrate with each other and offer free plans.

At the scaling stage, choose tools with the option to easily transition to paid plans.

Insights: How startups save on technology

1. Using open-source solutions

Open-source technologies provide startups with the opportunity to use powerful tools for free while maintaining flexibility in customisation and integration.

• Advantages
  • Low cost: no licensing fees.
  • Flexibility: the ability to customise to specific needs.
  • Large community: access to knowledge and support from developers worldwide.
• Examples:
  • PostgreSQL instead of paid databases (e.g., Oracle Database).
    • PostgreSQL provides enterprise-level functionality and supports the scalability required for growth.
  • Supabase  as an open-source alternative Firebase  for database management and authentication.

WordPress  for creating websites and blogs without the need to pay for a CMS.

2. Maximising free plans

Many SaaS companies offer free plans with basic features, which are sufficient for the early stage of a startup.

• Usage strategies:

  • Careful selection of tools with optimal free features.
  • Using multiple free services to cover different tasks.

• Examples:

  Slack: The free plan allows you to store up to 10,000 messages and use 10 integrations, which is sufficient for small teams.\

  Trello: On the free plan, a startup can manage tasks with an unlimited number of users and up to 10 boards.

  Google Workspace: The free versions of Google Docs, Sheets, and Drive are actively used by startups for document management and data storage.

3. Outsourcing and freelancing for solving niche, specialised tasks.

Hiring full-time employees is often not cost-effective for performing rare or highly specialised tasks. Outsourcing and working with freelancers help save resources.

• Advantages:

  • Cost savings: no ongoing salary expenses.
  • Access to highly skilled specialists as needed.
  • Flexibility: the ability to select specialists for specific tasks.

• Examples of tasks for freelancers:

  • UI/UX design.

  • Setting up DevOps infrastructure.

  • Writing technical documentation.

    Cases: Success Stories

    Case 1: Dropbox — A Fintech Startup that Saved 70% of Its Budget with Lean Tech Stack

    Description of the situation:
    Dropbox, The cloud data storage service aimed to quickly enter the market with minimal costs.

    Solution:

    • Use of open-source solutions:
      • Python  for developing the backend, which allowed speeding up the development process and reducing costs.
    • Maximising free plans:
      • Amazon S3 for data storage with pay-as-you-go pricing, which allowed them to avoid large initial investments.
    • Minimisation of infrastructure costs:
      • Using cloud services to scale as the user base grows.

    Results:

    • Significant savings on infrastructure and tools.
    • Quick MVP launch and attracting the first users.
    • Attracting investment and subsequent company growth.

    Case 2: Airbnb — An e-commerce marketplace that used a minimal set of tools for a quick market entry.

    Description of the situation:
    Airbnb  the company aimed to create a platform for rental housing, quickly test the idea, and launch it with minimal costs.

    
    

    Solution:

    • Minimalism in the tech stack:

      • Ruby on Rails for developing the web application, which allowed them to quickly create a prototype.

    • Tools for rapid prototyping:

      Using simple web technologies to create the first version of the website.

      Using ready-made solutions for payments.

      Integration with existing payment systems for transaction processing.

    
    

    Results:

    • Launching the platform in the shortest time.

    • Quick user acquisition and validation of the business model.

    • Scaling and turning into a global company.

      
      

  Stay tuned!

Key takeaways from the case studies:

Focus on the needs of the MVP: Startups need to choose technologies that align with their stage of development. At the early stage, there is no need for complex and expensive tools.

Cost optimisation: Using free plans and open-source solutions can significantly reduce expenses.

Flexibility and scalability: The tech stack should allow for rapid scaling without significant changes.

These cases demonstrate that a thoughtful approach to technology selection allows startups to successfully overcome budget and resource constraints, achieving success in the market.

In the next article, which will be released very soon, I will talk about technological trends for startups and share forecasts for the coming years. You will learn:

Popular trends: How low-code/no-code platforms and AI tools are transforming development approaches and accelerating product launches.

Forecast for the future: What changes are expected for lean tech stack in the next 5 years, and how startups can prepare for emerging challenges.

Promising tools: An overview of the latest solutions that are already setting the trend in the tech market for startups.