Aleksey Kislov

How we launched a QA course

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in Culture . 4 min read

The Devs and QAs were studying and working in parallel and worked closely together on the same projects, just like in real life!

Data Warehouse — optimal organization of your product data

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in Product Engineering .

Data lake or how to not sink

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in Product Engineering . 6 min read

How you build your product's data lake depends on: data types, the expertise of your team, the budget, and more. Here's the standard approach to build a data lake for either structured or unstructured product data.

How (and why) we build marketplace data pipelines — Part 1: Data Warehouses

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in Insights . 6 min read

A data warehouse is a solution that every medium or large startup should have. It helps your product team have all your user data in one place, quickly fetch it, find insights, build product predictions and more.

Paramerch — the DAO that delivers sweet gear to our team

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in Culture, Product Engineering .

An in-house brand of clothing and accessories. We aim to shift merch to a more sustainable approach by designing simple and practical items with local makers.

Quality Accelerated: interview with the QAs from the Paralect Accelerator

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in Culture, Startup . 9 min read

Your MVP Won’t Fly without QA — Here’s Why

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in Product Engineering . 8 min read

Very often — especially in large projects — QA engineers are the people who know the product better than anyone else.

A Quest for Open Source

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in Culture . 5 min read