I built a geocoding orchestrator tool to cut geocoding API costs

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I’ve been working on a tool called Coordable, which helps analyze and improve geocoding results.If you’ve ever dealt with geocoding at scale, you’ve probably hit two recurring problems:Garbage in = garbage out. Addresses are often messy (“2nd floor”, “/”, abbreviations, multiple addresses in one line…). Most geocoders will fail or return incorrect matches if the input isn’t perfectly normalized.A result isn’t always a correct result. Many providers return something even if it’s wrong — e.g. shifting a house number, or confusing similar street names. Assessing whether a geocoded result is actually right is surprisingly hard to automate.Coordable tries to address both issues with AI and analyt

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Website: coordable.co