Lukas Racickas

Principal Product Manager

Lukas Racickas is the principal product manager at Coresignal, dedicated to helping one of the leading data providers build and maintain powerful solutions for data-driven companies. In addition to his role, Lukas writes articles on how investment, HR tech, and sales tech companies can effectively leverage public web data to drive growth and gain a competitive edge.

Author's articles

predictive lead scoring model
Sales & Marketing
Self-Learning ICP Engine That Prioritizes Deals Like Your Best Sales Reps

This article provides a step-by-step guide to building an AI-powered, self-learning Ideal Customer Profile (ICP) engine for B2B sales teams. By leveraging external data sources like company profiles, job postings, and employee signals — combined with your CRM outcomes — you can automate lead scoring, prioritize high-fit accounts, and continuously refine your targeting based on real sales feedback.

April 22, 2025
the importance of data cleaning
Expert Insights
The Critical Role of Data Cleaning

As a product manager, I have closely worked with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more.

June 6, 2024
data life cycle representation
Expert Insights
Data Life Cycle: Manage Your Data to Ensure a Successful Business

Knowing the stages of life which your data goes through is imperative to keeping it protected and unbreached at every step of the way. This article explores the different stages of data life.

October 2, 2023
a disfigured circle blending into a smooth circle
Data Blending: Manage Your Data Efficiently and Cost-Effectively

Data blending decreases the time spent on data preparation. This article explores how you can manage your data more efficiently and effectively.

September 8, 2023
data transformation visual
Expert Insights
Data Transformation: Benefits, Types, and Processes

Data transformation involves converting data from one format into another. This article explores the process, its contribution to data integration, and new data transformation technologies.

June 29, 2023
Leverage public web data to build or transform your recruitment platform
Expert Insights
Leverage Public Web Data to Build or Transform Your Recruitment Platform

In this article, I will explain the most important aspects to keep in mind while building or upgrading your recruitment platform using public web data.

June 7, 2023
enhance sales intelligence with public web data
Expert Insights
Enhance B2B Sales Intelligence with Public Web Data

B2B sales intelligence uses company data, intent data, and contact data. Public web data helps you prioritize leads, target the right prospects, personalize pitches, and evaluate intent.

April 5, 2023
data aggregation visual
Expert Insights
Data Aggregation: Definition, Benefits, and Examples

At first glance, understanding the value of raw data can be a challenge for businesses. However, the data aggregation process converts unstructured raw data into powerful insights.

March 21, 2023
data wrangling visual
Expert Insights
Data Wrangling: Benefits, Processes, and Application in AI

Data wrangling is the process of cleaning, transforming, and organizing raw data. This article explores its significance, benefits, methods, and application in AI and machine learning.

February 10, 2023
Using public web data to improve vc deal sourcing
Expert Insights
Using Public Web Data To Improve VC Deal Sourcing

In this article, I will show you how public web data can help you source more deals. From basic ways of deal sourcing to some more innovative methods I've learned about in my years of experience. Read this article to learn about improving your deal sourcing methods.

February 8, 2023
Qualitative vs quantitative data
Qualitative vs Quantitative Data: Differences & Examples

Quantitative data refers to numerical information and qualitative data analyzes textual information. Read the article to learn when and how to use quantitative or qualitative research methods.

February 8, 2023
structured vs unstructured data visual
Structured vs. Unstructured Data: Key Differences

Structured data is formatted and organized for readability within relational databases. Unstructured data’s format is undefined, not well-organized, and not usable by relational databases.

January 25, 2023
data quality visual
Expert Insights
Data Quality: Definitions, Use Cases, and Improvement Methods

Whether you work in development, sales, or acquisition, utilizing quality data is essential for business operations. This article explores how to maintain data quality for everyday use.

January 11, 2023
common public web data challenges
Expert Insights
Common Public Web Data Challenges and How To Navigate Through Them

Public web data unlocks many opportunities for businesses that can harness it. Here’s how to prepare for working with this type of data.

December 22, 2022
Startup data
Expert Insights
Quickstart Guide: How to Start Working With Startup Dataset

Our Startup Dataset is a constantly growing feed of thousands of company founders and information about the companies they founded. We update this dataset on a monthly basis.

December 16, 2022
Public Web Data Guide for Talent Sourcing and Talent Intelligence
Expert Insights
Public Web Data Guide for Talent Sourcing and Talent Intelligence

In this guide, I will explain how to best use public web data to improve talent intelligence and sourcing for both HR platforms and companies.

December 2, 2022
how to prepare for working with public web data
Expert Insights
How To Prepare For Working With Public Web Data?

Public web data can provide unique insights and opportunities for your business. To get the most out of it, use these tips on how to prepare and what recources you need to get started with this type of data.

November 25, 2022