San Francisco, CA, United States of America

Elias Mckay Mackinnon

This inventor holds 1 USPTO granted patent. Top assignee: Notion Labs, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elias Mckay Mackinnon. Retrieved from https://idiyas.com/inventor/elias-mckay-mackinnon

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Elias Mckay Mackinnon: Email Productivity Innovation

Introduction

Elias Mckay Mackinnon is an inventor associated with San Francisco, California. His work includes an invention designed to help people compose emails more efficiently by identifying and suggesting reusable text.

Latest Patents

Mackinnon is associated with one patent, titled “Reusable Mail Block Generation and Suggestion.” The invention describes systems and methods that analyze stored emails, group messages according to semantic similarity, and identify recurring text patterns to create reusable mail blocks. While a user writes an email, the system monitors the text and suggests a relevant block when it detects a similarity. Mackinnon’s listed patent count is 1 patent.

Career Highlights

Mackinnon is associated with Notion Labs, Inc. His patent reflects an application of text analysis and pattern recognition to streamline routine email composition.

Collaborations

Mackinnon’s listed coworkers include Peter Lu and Arpeet Kale. The available information identifies them as colleagues but does not specify their roles in the patent.

Conclusion

Elias Mckay Mackinnon’s patent presents a practical approach to reusing recurring email language, connecting semantic analysis with suggestions that can make everyday communication more efficient.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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