Finnish open data and consumer products

Prices, cars, housing and public procurement: products that resolve the same thing across sources and say what the data cannot.

Newest: Ranking domain name candidates

Case studies

  • .fi Domain Finder

    Finds .fi domain names that are free to register or about to be released, and ranks them by how natural the words are.

  • Hintapiste.fi

    Price comparison built solo with AI agents.

  • Public data tracking

    Databases and tracking services for public procurement, research funding and airline fares.

  • Kaarat

    Comparison of cars from different sellers in one place, matched to your needs.

  • Search Intelligence Layer

    Research layer that turns search ranking data into a map of which sites compete on the same topics, with a blind evaluation of the result.

Guides, methods and benchmarks

  • Ranking domain name candidates

    A method for ranking domain name candidates: fluency, relevance, length and age in one score, availability first and a language model as a second opinion.

  • Building a competitor landscape corpus

    A method for a competitor landscape corpus: seed landscapes, frontier expansion and deterministic seed selection; membership is discovery, not proximity.

  • Blind evaluation of a domain-similarity model

    A method for blind evaluation of a domain-similarity model: a stratified pair sample, blind labels, integrity checks, confidence intervals, disagreements.

  • Keyword taxonomy with QA gates

    A method for a keyword taxonomy: signals before intent, location as a facet only, a person-name audit as diagnosis only and growing samples as the gates.

Tools

  • Expired domain checklist

    An expired domain checklist: the earliest release date from the registry’s dates, and 16 checks on the name’s history, meaning and release.

Working method and demos

  • Demo: Hintapiste.fi

    How Hintapiste.fi works, shown on 5 products from a snapshot of its public data: price history, listings joined into one product and the order of offers.

Skill areas