The AlgoFly Journal.
Inside the tools we build and the ideas that move us forward.
Practical perspectives on AI, engineering, and open source.
Building Product Price History from Millions of Retail Observations
A practical companion to AlgoFly’s retail price-history demo: product identity, time-series observations, indexing, and comparisons that keep their context.
From a Shelf Photo to Product Matches: Designing a Retail Recognition Pipeline
How to separate shelf detection, product retrieval, unknown items, and human review in a practical retail vision workflow.
A Small React Hook for Nested State: The Idea, the Pitfalls, and a Safer Version
Explore AlgoFly’s path-based React state experiment, including immutable updates, functional setters, false values, and when to choose a reducer instead.
Agricultural Field Delineation with Segment Anything and QGIS
From satellite imagery to editable field polygons: promptable segmentation, geospatial coordinates, tile joins, geometry review, and field-level information.
AI for Basketball Analysis: Tracking Players, Shots, and Identity
Inside the engineering decisions behind basketball analytics: camera placement, player reidentification, shot-event sequences, uncertainty, and useful statistics.
Retail Product Detection with YOLO-NAS: From SKU110K to ONNX
Inspect the full retail detection workflow: crowded shelf annotations, YOLO-NAS training, class mapping, ONNX preprocessing, and counting-aware evaluation.
A Maintainable Selenium Workflow for Product Search Research
Turn product-search pages into auditable records with explicit waits, resilient extraction, clear missing values, and reproducible collection context.