Dev Insights
Why Do AI Tools Give Different Numbers for the Same Question?
You can ask two AI tools the same question about your data and get different answers, even when both have access to the same system. ...
by Mateja Verlic Bruncic · Aug 12
Understanding Rate Limiting: Strategies and Solutions
Learn about effective rate limiting strategies, common algorithms, and how to implement a client-side solution to optimize API performance and prevent system overloads
by Aljaz Mislovic · Feb 11, 2025
How to Boost SaaS Growth with PQL Scores and Activation Strategy
Using PQL scores and an effective activation strategy could be the key to a staggering SaaS growth. User activation significantly impacts customer acquisition and can transform your business results. By identifying your PQLs, measuring PQL scores, and tracking user activation, you can drive growth and enhance user engagement across the board. Read more on how we approach this at Databox.
by Tadej Kelc · Jul 29, 2024
Navigating the Road to Product-Market Fit: Our Journey with Benchmark Groups
In the competitive landscape of today’s business world, achieving product-market fit is crucial for the success and growth of any organization. This elusive state signifies ...
by Mateja Verlic Bruncic · Apr 11, 2024
Unlocking Success With the Databox Customer Lifecycle Framework
At Databox, we put our company values at the forefront of everything we do. Prioritizing customer impact is one of the values we focus on ...
by Ziga Potocnik · Feb 11, 2025
Our methods and challenges of integrating 100+ SaaS APIs
In the era of big data, where information serves as the lifeblood of digital interconnectedness, the ability to seamlessly harness and analyze data is paramount. ...
by Uros Trstenjak · Apr 11, 2024
<strong>Our architectural approach to support multi-product strategy</strong>
Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in ...
by Boris Ovcjak · Apr 11, 2024
<strong>Bridging the Gap between Data Science and Product Development with Streamlit</strong>
At Databox, scientific research and product development are important fundamental pillars of our innovative ecosystem. Our scientific endeavors fuel groundbreaking discoveries, while our product team ...
by Katja Tic · Jun 5, 2025
<strong>ChatGPT Models: Choosing the Right Fit for Databox Analytics</strong>
As we ventured into the realm of generative models to enhance our Performance Summary feature, the choice between GPT-3.5 and GPT-4 was pivotal. This blog unravels the comparison between the models and debates the decisions that shaped the release of our latest feature.
by Aleksej Milosevic · Feb 11, 2025