Matthew Covi

CEO & Co-Founder at Chimney

Matthew Covi has a diverse work experience across several companies. Matthew is currently the CEO & Co-Founder of Chimney, a financial platform for homeownership. Prior to that, they worked at Stash as the Head of Growth, where they managed a team and contributed to the company's customer growth. At NewsCred, Matthew held the position of Marketing Strategist - SEO Lead, responsible for implementing data-driven practices and growing SEO as a core function. Matthew also worked at Reprise Media as Director, Strategy, SEO and Associate Director, SEO, where they oversaw organic growth, developed relationships with external partners, and implemented website optimizations. Before that, Matthew worked at Converseon as an Optimization Specialist and SEO Research Analyst, driving organic growth strategies and collaborating with clients. Matthew began their career at Syndicate Media as a Digital Marketing Analyst, managing web development projects and developing marketing strategies. Matthew also gained experience at Viacom, working in production events and assisting with award shows.

Matthew Covi obtained a B.A. in Economics from Rollins College, where they studied from 2005 to 2009. In 2007, they briefly attended Columbia University for the GSAPP Program in Architecture. Additionally, Matthew has a certification in Searchmetrics, although no details about the institution or the year of obtaining the certification are provided.

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Chimney

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Chimney is on a mission to make homeownership easier for 80 million Americans by bringing transparency to homeowner data and more flexible access to home equity. We're the first financial platform built for homeowners - taking complex financial, credit, and property data - and turning it into a seamless digital experience with actionable recommendations and savings (think Credit Karma but for homeowners). Integrations and developer-friendly APIs make it easy to embed our technology into any digital or banking app, giving homeowners access to their data anytime, anywhere.


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