Manu Ebert is a founder and engineer based in San Francisco who pairs a background in cognitive neuroscience with 12 years of product and engineering leadership across AI, data science, and FinTech. He has founded four companies (two exits), led technical teams at Airbnb to build their first Knowledge Graph, and now runs Hyperspell to simplify data-layer integration for RAG apps. Hands-on across the stack, Manu contributes to open-source projects from front-end UX work (The Most Dangerous Writing App) to backend tooling (jrnl), and has a track record of rapidly scaling consumer products—0 to 300k DAU in two weeks for The Most Dangerous Writing App. His experience running a quant fund and designing trading algorithms for a live AUM portfolio adds uncommon operational rigor to his product and ML work. Known for turning research insights into shipping products, he combines scientific curiosity with startup pragmatism to build infrastructure that helps teams move from prototype to production quickly.
12 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.) Cognitive Neuroscience, Master of Science (M.Sc.) Cognitive Neuroscience at Universität Osnabrück
If you stop typing for more than five seconds, all progress will be lost.
Role in this project:
Front-end Developer
Contributions:1 review, 164 commits, 17 PRs in 6 years 10 months
Contributions summary:Manu focused on the front-end development of the application, addressing UI and UX aspects. They made code changes in HTML, JavaScript (CoffeeScript), and CSS to implement bug fixes and improve the overall design. The user added functionality to the application and worked on implementing night mode.
Collect your thoughts and notes without leaving the command line.
Role in this project:
Backend Developer
Contributions:1 release, 774 commits, 62 PRs in 7 years 10 months
Contributions summary:Manu primarily focused on improving the jrnl command-line journal application. Their contributions included fixing timezone issues, adding the ability to import data via piping, improving date parsing, and making the application more robust. The user also implemented key features like adding templates, the ability to star journal entries, and improvements to the editing functionality.
notespythonjournal-applicationcollectnote-taking
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