Tech Blog
Explore the world of Bolt products with product stories, management insights, and captivating case studies. Join us on the journey of innovation!
How data science is done at Bolt
The structure of the Data Science team at Bolt Our Data Science team at Bolt consists of talented data scientists and machine learning engineers who are the driving force behind
Fraud checkpoints: from overengineering to simplicity — and where flexibility works
Learn how Bolt built a flexible anti-fraud platform powered by real-time checkpoints that detect and stop threats instantly.
Feature leading at Bolt: More than writing code
At Bolt, engineers don’t just implement tickets. They lead features end-to-end. A feature lead owns the plan, coordinates a cross-platform squad, removes blockers, and drives the rollout to make sure the feature is truly done. This post breaks down Bolt’s feature lifecycle, what goes into a strong system design document, how success metrics and analytics are defined, and how we launch safely through controlled rollouts and A/B tests.
Exposing dbt models in Looker
This article was written by Silja Märdla, Senior Analytics Engineer at Bolt. TL;DR This article describes how we’ve replaced manual LookML writing with an automatic sync process to ensure all
Evolution of the user graph with company growth
Written by Jaroslav Judin, Senior Software Engineer at Bolt. Understanding user relationships is crucial in fraud analysis and social networks. However, the options for choosing a suitable storage model are
The evolution of data caching in a high-traffic microservice architecture
Data Modelling with dbt (core)
Written by Silja Märdla, Senior Analytics Engineer at Bolt. In Bolt, we’ve been on a mission to understand the best way to systematically prepare data for our different data users:
Dancing with fraudsters in the Age of AI
How Bolt engineers fight AI-powered fraud while keeping products safe and seamless. Explore risk-based defence, automation, and the future of anti-fraud tech.
AI-prototyping: Reality check
AI can generate prototypes in hours, but speed alone doesn't create product value. Learn the risks, trade-offs, and path from prototype to V1.
Finance ledger as a service: Rethinking aggregation engine
From rides to food delivery, see how Bolt’s finance ledger and aggregation engine deliver a single source of truth for global financial data.
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