nowfound

Life & fun · March 29, 2016

Kadaxis

Machine learning technology to increase visibility of books

Kadaxis launched on March 29, 2016 with 61 votes, #1,335 of 4,409 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 10 years on.

What it does

Kadaxis helps trade publishers understand reader demand and turn it into book discovery through keyword research, metadata strategy, and retailer search intelligence.

Kadaxis works with major trade publishing houses and distinctive independent presses on the keyword and metadata work that determines whether a book is found in retailer search. That foundation now extends into broader discovery strategy, grounded in reader demand and live market signals. Readers search for books in language that is rarely the same as the language in publisher catalogs. We combine retailer search data, editorial judgment, and proprietary research methods developed across hundreds of thousands of titles. Each engagement is list-specific. Nothing we deliver is templated. Occasional writing on metadata, discoverability, and the economics of publishing online. Sent a few times…from kadaxis.com

Does a similar job

all alternatives →
  • Kooba2017 · ▲141

    An interactive graph for finding new books

  • Machine Learning2017 · amazon.com · ▲77

    A visual guide for beginners

  • I mapped HN's favorite books with GPT-4o2024 · hnbooks.pieterma.es · ▲285

    Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…

  • Machine Learning Flashcards2017 · aiflashcards.com · ▲101

    300 digital flashcards

  • Probably Approximately Correct2015 · amazon.com · ▲53

    Nature's algorithms for learning and prospering in a complex

  • Addr2014 · ▲98

    A collective and annotation-focus ePub reader

More life & fun this month

the category →

Source: Product Hunt launch ↗

Launched alongside, March 2016

the whole month →
  • Carrd▲1,643

    Simple, responsive, one-page sites for pretty much anything.

    Growth · 2016 · carrd.com

  • Privacy.com▲1,134

    Get a new virtual card for every transaction

    Commerce · 2016 · privacy.com

  • Franz▲877

    Franz combines WhatsApp, Slack, Telegram, Gmail, Outlook, and native Signal in one desktop app with AI summaries, workspaces, and privacy-conscious local features.

    Work · 2016 · meetfranz.com

  • DeepGram▲819

    Search engine for speech

    AI · 2016 · deepgram.com

  • Search and download thousands of logos instantly

    Work · 2016 · namecheap.com

  • Make voice calls in Slack

    Growth · 2016