Four years ago, in November 2018, we founded StrikingWeb with a simple premise: businesses deserve technology partners who build solutions with the same care and craft they would apply to their own products. What started as a web development studio has evolved into a full-spectrum digital technology firm, and this anniversary gives us an opportunity to reflect on the journey and share where we are headed.
The Journey So Far
Our first year was about establishing fundamentals — building WordPress and Shopify stores, creating custom web applications, and proving that a small team could deliver enterprise-quality work. We focused on getting the basics right: clean code, responsive design, fast page loads, and reliable deployments.
Year two brought the pandemic, which forced every business to accelerate its digital presence. Our e-commerce expertise became critical as retail clients needed online stores quickly. We launched more Shopify and WooCommerce stores in 2020 than in the previous two years combined. The pandemic also pushed us deeper into cloud infrastructure, as clients needed their applications to scale reliably during unpredictable traffic spikes.
Year three saw us mature our cloud and DevOps practice. We moved from managing individual servers to architecting containerized deployments on AWS and implementing CI/CD pipelines that our clients could maintain independently. We also began our first Flutter mobile projects, expanding beyond web into cross-platform mobile development.
Now in year four, we are making our most significant strategic expansion: adding dedicated AI/ML and blockchain development capabilities to our service portfolio.
Expanding into AI and Machine Learning
Artificial intelligence has moved from research labs to practical business applications faster than anyone anticipated. Our clients are increasingly asking about chatbots, recommendation engines, content classification, and predictive analytics. Rather than referring this work to other firms, we have invested in building genuine AI/ML capability in-house.
Our AI practice focuses on practical applications of machine learning for business problems. This includes natural language processing for customer support automation, recommendation systems for e-commerce clients, computer vision for product cataloging and quality inspection, and predictive models for demand forecasting and inventory management.
We are not approaching AI as a buzzword to add to our marketing materials. Every AI project we take on must solve a specific, measurable business problem. If a rules-based approach would work just as well, we recommend that instead. Machine learning adds value when the problem space is too complex or variable for explicit rules — and that is where we focus our AI work.
Blockchain Development
Our blockchain work started in 2019 with exploratory smart contract development. Over the past year, it has matured into a full development practice. We build decentralized applications on Ethereum-compatible networks, including token contracts, NFT platforms, and DeFi integrations.
The blockchain space is noisy, and we are selective about the projects we take on. We work with clients who have genuine use cases for decentralized technology — supply chain transparency, digital asset ownership, decentralized governance — rather than projects that use blockchain as a marketing gimmick.
Growth for its own sake was never the goal. Every new capability we add must strengthen our ability to solve real problems for our clients. AI and blockchain are not trends we are chasing — they are technologies our clients need, and we owe it to them to build genuine expertise.
By the Numbers
Four years of work has produced results we are proud of:
- Over 80 projects delivered across web, mobile, e-commerce, and cloud
- Client retention rate above 85 percent — most clients return for additional projects
- Expanded from a founding team of two to a team of twelve specialists
- Added dedicated practices for mobile development, cloud/DevOps, AI/ML, and blockchain
- Launched a technical blog that now publishes monthly articles on our areas of expertise
What We Have Learned
Four years of building digital products has taught us lessons that no technical tutorial covers.
First, technology choices matter less than execution quality. We have seen projects built on "perfect" tech stacks fail because of poor implementation, and projects on "outdated" stacks succeed because they were built with discipline and care. Choose technology that your team knows well and that fits the problem — not the technology that has the most conference talks.
Second, communication is the hardest part of consulting. Writing code is straightforward compared to understanding what a client actually needs, translating business requirements into technical specifications, and keeping all stakeholders aligned throughout a project. We have invested more in our communication processes than in any technical tooling.
Third, maintenance is where relationships are built. Any firm can deliver a launch. The firms that earn long-term trust are the ones that show up when something breaks at midnight, who proactively identify performance issues before they affect users, and who treat post-launch support with the same seriousness as the initial build.
Looking Ahead
Our vision for year five and beyond centers on deepening expertise rather than broadening scope. We want to be genuinely excellent at the services we offer, not merely competent across an ever-expanding list. Specifically, we are investing in advanced AI integration capabilities as large language models and generative AI create new possibilities for business applications. We are expanding our e-commerce practice to cover the full spectrum from Shopify to headless commerce architectures. We are building out our DevOps automation to help clients achieve faster, more reliable deployment pipelines. And we are continuing to hire specialists who bring deep expertise rather than generalists who cover breadth.
To our clients — past, present, and future — thank you for trusting us with your digital products. Every project we take on teaches us something new, and that continuous learning is what keeps this work rewarding after four years and counting.
Here is to the next four years.