40M embeddings to find who knows what on HN

Data

semantic search

SHOW HN2024

How HN reacted

Mixed

No clear lean

2 positive, 3 neutral or mixed, 0 critical. Score +0.25

LikedWorks well, shows the user's own contributions clearly

ObjectedUnclear how to act on the list of users found

Summaries made by AI from the thread.

Shown by wilsonzlin on Jul 23, 2024. Click the card to turn it over.

33points

6comments

#1,541of 3,515 in 2024

Top 44%of 2024 by points

How HN took it

MixedNo clear lean

2 positive, 2 neutral or asking, 1 mixed, 0 critical, out of 5 comments about the project. Thread score +0.25.

Execution: 1 for, 0 againstPerformance: 1 for, 0 against

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

Unclear how to act on the list of users found
From 1 comment
- This is an interesting tool, but I'm not sure how to use the information it gives me. If I end up with a list of users who are interested in the same topic, what's the preferred…
  mikewarot on HN

Open source the project
From 1 comment
- This worked really well for clickhouse and sqlite. Any plans to open source?
  tarasglek on HN
Fix text selection and profile navigation
From 1 comment
- Text selection doesn't work, and I can't navigate to the user's news.ycombinator.com profile; otherwise, it's neat.
  britannio on HN

Whether comments are embedded whole or chunked
From 1 comment
- Nicely done. I was able to see my tiny contribution to HN clearly. Few questions: 1. Did you create embeddings for the whole comment or you used chunking? 2. How do you determine…
  Oras on HN
How effective keywords are determined
From 1 comment
- Nicely done. I was able to see my tiny contribution to HN clearly. Few questions: 1. Did you create embeddings for the whole comment or you used chunking? 2. How do you determine…
  Oras on HN