alt.hn

2/12/2026 at 7:27:53 PM

Show HN: What is HN thinking? Real-time sentiment and concept analysis

https://ethos.devrupt.io/

by ddtaylor

2/13/2026 at 2:46:17 AM

This is really cool and something I've envisioned building for a long time!

There is a bug in the entity tracking. For the entity "github", it shows a positive sentiment. HN does NOT like GitHub (for reasons good or bad). If you click on it, it shows you stories about other seemingly unrelated stories.

https://ethos.devrupt.io/entities/github

by kretaceous

2/13/2026 at 2:54:30 AM

Thank you. I believe this is because it's not properly aggregating the story title, content, and comment hierarchy. There are going to be cases where the LLM does a poor job of understanding the conversation, but I think right now the information isn't being sent to the prompt.

Right now it seems to be only using one level of the parent comment hierarchy.

(Source: https://github.com/devrupt-io/ethos/blob/67670eb2855b84d389d...)

by ddtaylor

2/13/2026 at 7:56:08 PM

The sentiment analysis is very interesting. I'm super curious what that looks like historically, going back to 2007.

by tangotaylor

2/13/2026 at 8:24:40 PM

I currently have it limited to this "epoch" date while I tweak the prompts, once I feel the prompt is done cooking I will be letting it go back to 2007. But, also, gotta keep the lights on somehow ;)

Also, hello fellow taylor.

by ddtaylor

2/13/2026 at 1:33:17 AM

Awesome idea! The entity tracking is very exciting, most interesting part imo

I think the budget is noticeable in the sentiment analysis unfortunately, the tags and entity recognition are good but the sentiment ratings themselves seem pretty sloppy.

by sdwr

2/13/2026 at 1:42:08 AM

I think it's mostly prompting, but I will be experimenting with this more. The prompt currently is garbage IMO

    You are an expert analyst of the Hacker News community. Analyze submissions for
    the underlying ideas, concepts, technologies, and entities being discussed.

    Write all summaries in third-person analytical prose. Do NOT start sentences
    with "The user", "The commenter", "The author", or "This post". Instead, lead
    with the substance: describe the idea, argument, or phenomenon directly.

    Good: "Decentralized identity systems could reduce reliance on corporate
    gatekeepers." Bad: "The user discusses how decentralized identity systems work."

(Source: https://github.com/devrupt-io/ethos/blob/67670eb2855b84d389d...)

by ddtaylor

2/13/2026 at 11:09:12 AM

Garbage, why? That is the insightful bit you chose to omit. How would you do it instead?

by atoav

2/13/2026 at 3:53:10 PM

It leaves a lot of interpretation to the model. For example it doesn't give any guidance on concept naming or disambiguation, which leaves all of that work to the JSON schema.

In my experience it's much more effective to reference key terms or ideas in the JSON schema and then explain those and their constraints in the system prompt.

This is one reason why people often think one model performs better than another for tasks they are both capable of. The real question IMO becomes, does porking all of that extra input prompt (a) eat too much context or (b) increase cost too much.

We will put an update on this in the future and post it in our blog, https://blog.devrupt.io/

by ddtaylor

2/13/2026 at 12:12:31 AM

Well done.

If I could suggest, please make green colors more distinct in sentiment split wheel, they seem to be very similar now.

by sixtyj

2/13/2026 at 7:43:51 PM

I'm thinking about constantly getting bombarded with audible microwave voice messages for past couple years

by Lapsa

2/12/2026 at 9:32:47 PM

This is virtually identical to tools the US Department of Homeland Security uses across each social media platform and major website with comments to monitor sentiment and activities.

Congrats, I guess.

by esseph

2/12/2026 at 10:01:53 PM

I was also told this by someone randomly while working at a coffee shop here in DC. Something about CGA.

by ddtaylor

2/13/2026 at 3:37:17 AM

Jeffrey Epstein: 0.20% Positive! Lol.

Side note: this is cool, but the sentiment analysis could be a bit more sophisticated in v2.

by claudegamedev

2/13/2026 at 12:02:32 PM

I know I'm going against the HN hivemind a bit here, and I hope I don't get flamed too much for it - but I think that that Jeff Epstein fellow wasn't a very nice man.

by CatMustard

2/13/2026 at 8:51:04 PM

guidelines link

by ddtaylor

2/13/2026 at 1:20:50 AM

[dead]

by lesser-shadow

2/12/2026 at 10:44:54 PM

[dead]

by NedF

2/12/2026 at 10:25:05 PM

Very interesting. LLMs open up space for transforming unstructured raw data into visualizations and dashboards. I made something just looking at “Who wants to be hired” posts.

https://hireindex.xyz/#stats

by dk8996

2/12/2026 at 10:34:50 PM

Does that use the "real" LinkedIn API or something else like Playwright?

What model does it use?

What vector database is it using?

by ddtaylor