nowfound

AI · February 16, 2017

MM

MetaList – Machine learning-assisted market research

MetaList – Machine learning-assisted market research launched on February 16, 2017 with 12 votes, #873 of 3,156 launches that month and more than 75% of that year's launches.

In plain words

MetaList is an AI-powered market research tool that uses machine learning to assist with data analysis and insights. It helps researchers and businesses gather, organize, and analyze market information more efficiently than manual methods. The platform combines automated data processing with research capabilities, making it suitable for companies needing to understand market trends and consumer behavior. It launched in 2017 and focuses on streamlining the market research process through artificial intelligence.

written from the facts on this page · September 2026

Does a similar job

all alternatives →

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 18d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 18d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 20d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 21d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 30d ago · world.pixverse.video

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 4d ago · beam.win

Source: Show HN post ↗

Launched alongside, February 2017

the whole month →
  • Easily add high-quality animation to any native app

    Dev tools · 2017 · airbnb.com

  • Curated collection of 180 free fresh background gradients 🚀

    Work · 2017 · webgradients.com

  • Company culture decks aggregated all in one place

    Life & fun · 2017 · tettra.com

  • Open-source machine learning library by Google

    AI · 2017 · tensorflow.org

  • Milanote▲763

    The notes app for creative work

    Work · 2017 · milanote.com

  • A free guide to all HTML elements and attributes.

    Life & fun · 2017 · htmlreference.io