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Like.do platform tracks term provenance over definitions

By PulseAugur Editorial · [1 sources] ·

The creator of Like.do, a discovery platform for emerging terms, explains the importance of tracking the provenance of new concepts rather than just their definitions. The platform stores terms as objects with attached evidence, focusing on where a term originated, when it first appeared, and how widely it is discussed. This approach aims to provide a more reliable understanding of a term's significance by separating known facts (creator, shipping date, problem addressed) from unknown aspects (actual user base, alternatives, cost structure). Like.do offers a REST API and an MCP endpoint for querying this data, with a focus on attribution traveling with the data. AI

IMPACT Provides a structured approach to tracking the origins and adoption of new concepts, potentially useful for understanding emerging AI terminology.

RANK_REASON The item describes a specific platform and its API, which is a tool for managing information.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Like.do platform tracks term provenance over definitions

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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Keep Video ·

    A term you keep seeing is not a signal: the data model I use to check the evidence

    <p>Every week or so a word shows up that I do not recognise. A product name in a Show HN post. A phrase in a repository README. Something a client says on a call as if everyone already knows it.</p> <p>The usual response is to open the link, decide it looks interesting, save it s…

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