Back to Home11/17/2025, 11:48:23 PM

Show HN: Wikidive – Rabbithole/Deep Diving into Wikipedia

atulvi
1 points
1 comments

Mood

supportive

Sentiment

positive

Category

tech

Key topics

Wikipedia

AI

Exploratory Learning

Wikidive is a tool that uses AI to facilitate deep diving into Wikipedia topics, and the community is receptive to this new tool.

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

2m

Peak period

1

Hour 1

Avg / period

1

Comment distribution1 data points

Based on 1 loaded comments

Key moments

  1. 01Story posted

    11/17/2025, 11:48:23 PM

    22h ago

    Step 01
  2. 02First comment

    11/17/2025, 11:50:07 PM

    2m after posting

    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    11/17/2025, 11:50:07 PM

    22h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (1 comments)
Showing 1 comments
atulvi
22h ago
Simply enter a topic you're interested in, and Wikidive will explore Wikipedia to find TWO related topics that an AI model thinks are interesting. You can then choose to dive deeper into one of these topics. Each "dive" presents you with related topics that you can explore further, creating an engaging journey of discovery.

EDIT: How it works:

It asks an llm this prompt: "I was going in this rabbit hole of wikipedia articles: #{chain} \n I have now found these topics:\n\n#{related_topics}\n\n Select the 2 most mind blowing topics from the list and that I'd enjoy given my rabbit hole. Ensure two topics are not the same."

and pics two articles that it returns. This is slightly better than random.(related article names are obtained from wikipedia API).

View full discussion on Hacker News
ID: 45959803Type: storyLast synced: 11/17/2025, 11:51:09 PM

Want the full context?

Jump to the original sources

Read the primary article or dive into the live Hacker News thread when you're ready.

Read ArticleView on HN