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Fittir - Running Shoe Assistant
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Fittir - Running Shoe Assistant

A platform that helps runners find the right running shoe online. It has served over 10,000 runners since 2022 and is a profitable business.

Completed October 2024

Key features

Personalised recommendationsSide-by-side comparisonLive retailer dealsReview insightsPages built for searchWorks on mobile
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Runners buying shoes online face thousands of models across every brand, with nobody to ask. The specs on paper say little about how a shoe will actually feel, so most people end up guessing.

Fittir is our own product. It helps runners search, compare and get a recommendation based on their needs and goals.

What we built

  • Recommendations that fit the runner: A short questionnaire leads to recommendations based on the runner's needs, goals and preferences.
  • Compare side by side: Detailed filters and a comparison page to weigh shoes against each other.
  • More than the specs: AI reads reviews from Fittir, YouTube and Google to pull out what runners say about fit and feel.
  • Current deals: Tens of thousands of retailer deals and stock levels, kept up to date automatically.
  • Saved profiles: Runners create an account to save their profile and come back to it.

    • Behind the scenes, a team of more than five AI agents keeps shoe data, reviews and retailer deals up to date across thousands of shoes, every day.

    What changed

    Since launching in 2022, Fittir has served over 10,000 runners with recommendations. It's bootstrapped and profitable, earning through affiliate sales, recommendation widgets for retailers, and data services.

    Built with

    Next.js, Node.js, MongoDB, Stripe, OpenAI and Puppeteer. A separate server handles the daily data processing, and a page is generated for every shoe so runners can find it through search (programmatic SEO).

    More work

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    About us

    We turn your goals into AI and software that actually works

    A team of product engineers based in Queenstown, NZ. We work with you to understand the problem first, then build the right thing — not just the possible thing.

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