Built by Edward Tay for a job application. Not affiliated with or operated by Manta Network. Public data only.

The lineup

Manta's AI products, each with its facts and sources. Pick one; every other tab follows it.

Fact card

not checked yet

    The Studio writes from these facts only. Each line is re-checked on load: the desk fetches its source and looks for the quoted phrase. Web pages are fetched by this desk's Worker; X posts through api.fxtwitter.com.

    Live numbers

    App Store and GitHub figures for the selected product, read live.

    Link audit

    checking

    Trend radar

    Live datasets from data.prompt20.com (my AI data site) and Polymarket, matched to the selected product. "Use as hook" sends a row to the Studio.

    Studio

    Draft one piece from the fact card and a trend hook, in English or 中文, then lint it before it goes out. Nothing posts automatically.

    Brief

    Runs after each draft. A second model pass labels every sentence.
    • idleDraft something or paste your own copy.

    Channel read

    The last ~200 posts on @MantaNetwork plus the follower counts of each product account, read live. What gets views, and where the audience is.

    Reading the timeline...

    Median views by format

    Median views by topic

    Where the audience is

    Posts

    PostDateFormatViewsLikes

    Feedback loop

    Collect what users say, group it into themes, and hand product a digest. App Store reviews load live for Incognitive; paste Telegram, Discord or X replies for any product.

    Raw feedback

    Digest for product

    Themes, counts, what users ask for, and what the feedback cannot tell us.