In a recent LinkedIn post, Kobi Omenaka details the development and functionality of a custom Chrome extension designed to streamline the process of inviting attendees to LinkedIn events. This tool, built using Claude Code, addresses a significant pain point for users who frequently host online events and find manual invitations time-consuming and frustrating.
Omenaka highlights the core problem that inspired the creation of this extension: the tedious nature of manually inviting individuals to LinkedIn Live sessions. He explains the motivation behind the project, stating:
“This came from a real frustration. I run LinkedIn Lives, and manually inviting people is a pain. So I fixed it.”
The extension automates a significant portion of this task, allowing users to bypass the manual effort involved in reaching out to potential attendees. According to Omenaka, the process is designed for simplicity and efficiency.
How the Automation Tool Works
The Chrome extension automates the invitation process through a series of straightforward steps, as outlined by Omenaka in his post. This approach aims to mimic human behavior to avoid triggering LinkedIn’s automated flagging systems.
The functionality is described as follows:
- Users provide a list of names.
- The extension systematically cycles through the list and sends invitations.
- It is engineered to simulate human actions, thereby mitigating the risk of detection by LinkedIn.
- The user can step away while the process runs.
- Upon completion, the task is finished, freeing up the user’s time.
Omenaka emphasizes the user-friendly nature of the tool, noting that extensive technical expertise is not required for its use. He posits:
“You don’t need to be a developer. You just need a problem worth solving and the curiosity to try.”
The Power of AI-Assisted Development
Omenaka’s experience with Claude Code has evidently spurred further innovation. He suggests that this initial version is just the beginning, with plans for more advanced features already in development. This iterative approach to problem-solving, facilitated by AI coding assistants, is a key theme in his post.
As Kobi Omenaka points out, the ability to quickly build solutions using tools like Claude Code can be highly addictive:
“That’s the thing about Claude Code. Once you start, you can’t stop building.”
Future iterations, Omenaka hints, could involve even more sophisticated automation, such as automatically selecting the optimal 1,000 individuals for an event based on predefined Ideal Customer Profiles (ICPs). This suggests a move towards more intelligent and data-driven outreach strategies.
Broader Implications for Content Creators
The development of such tools by individuals like Omenaka underscores a growing trend in the creator economy and professional networking space. By leveraging AI and custom-built solutions, professionals can reclaim significant amounts of time previously spent on repetitive administrative tasks. This allows for a greater focus on strategic activities, content creation, and genuine engagement.
Omenaka concludes by inviting engagement from his network, offering the extension to those interested and encouraging them to follow his continued building efforts. He states:
“Want the extension? Drop a comment or DM me and I’ll send it over.”
His ongoing project, where he builds new tools every Wednesday, serves as a testament to the practical applications of emerging AI technologies for solving real-world business challenges.
📝 About This Content
This article is based on insights shared by Kobi Omenaka on LinkedIn.
📅 Originally posted on March 18, 2026 | View original post on LinkedIn →