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    Matthew Mazur

    Founder and Data Consultant

    Matthew Mazur is a software entrepreneur and analytics consultant, best known as the founder of Preceden, a SaaS timeline maker and roadmapping tool. He started developing Preceden in late 2009 and has been focusing on it full-time since September 2018. The tool is designed to help users visualize complex timelines easily.12

    In addition to his work with Preceden, Mazur is also the founder of Alden Analytics, a consulting business that assists SaaS companies in leveraging data for growth. His experience includes serving as the data lead at Help Scout, where he worked on various analytical projects to improve business performance using data-driven insights.12

    Before entering the tech industry, Mazur served in the United States Air Force for over nine years. He attended the United States Air Force Academy and held various leadership roles, including project manager for Air Operations Centers and director of communications for Air Force Special Operations in Iraq.12

    Mazur resides in Cary, North Carolina, with his family and continues to be involved in software development and analytics consulting.2

    Highlights

    Dec 7 · twitter

    “An agent's harness matters almost as much as its model. If you have a bad harness, then you may as well have a bad model.”

    It’s interesting to think about the possible upper limits of capability gains you can get from harness engineering.

    As an extreme example, could you plug one of our frontier models into a cleverly-built harness and wind up with something indistinguishable from AGI?

    Probably not… but maybe? Poetiq has shown via their ARC-AGI-2 performance that you can build a scaffold/harness that improves general reasoning, at least as measured by that benchmark.

    What are the odds their approach can’t be significantly improved upon?

    Dec 6 · twitter

    Poetiq achieved state of the art results on ARC-AGI-2, not by training a powerful new model, but by building a better harness for existing models to use.

    From their site:

    “The flexibility of our meta-system allowed us to achieve this within hours of Gemini 3’s release. At Poetiq, we do not need to build, or even fine-tune, our own large frontier models. Our meta-system is designed to automatically create full systems that solve specific tasks by utilizing any existing frontier model.”

    And:

    “Our system engages in an iterative problem-solving loop. It doesn't just ask a single question; it uses the LLM to generate a potential solution (sometimes code as in this example), receives feedback, analyzes the feedback, and then uses the LLM again to refine it. This multi-step, self-improving process allows us to incrementally build and perfect the answer.”

    The code is on GitHub too:

    https://t.co/tEAUhvjSUt

    It’s a reminder that capability emerges not just from the model, but from the system that guides it.

    Related Questions

    What inspired Matthew Mazur to start Preceden?
    How did Matthew Mazur's experience in the Air Force influence his career in software?
    What are some unique features of Preceden compared to other timeline tools?
    How does Alden Analytics help SaaS companies grow their businesses?
    What challenges did Matthew Mazur face while transitioning from the Air Force to software entrepreneurship?
    Matthew Mazur
    Matthew Mazur, photo 1
    Matthew Mazur, photo 2
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    Experience

    Founder at Preceden and Alden Analytics
    Data Lead / Consultant at Help Scout (March 2017 - Present), Various roles at Automattic including Marketing Engineering Lead, Analytics Team Lead, and Domains Team Lead (2013 - 2017), Multiple roles in the United States Air Force including Project Manager and Director of Communications (2003 - 2012)

    Education

    B.S. in Computer Science, Information Assurance from United States Air Force Academy (2003 - 2007)

    Location

    Cary, North Carolina, United States