HNHacker News
TopNewBestAskShowJobs

jnnnthnn

220 karma · joined December 10, 2017

https://jnnnthnn.com
submissionscomments
jnnnthnn··on Show HN: Avec – iOS email app that lets you handle your Gmail inbox in seconds
Our opinion is that you need to rethink the UI from the ground up, which isn't a tractable proposition through an extension or an MCP server :)
jnnnthnn··on Launch HN: Nao Labs (YC X25) – Cursor for Data
This looks awesome! I wish I could connect to my Postgres DB using SSL.
jnnnthnn··on Show HN: I built a directory about big life decisions/regrets
Interesting! You should consider making the email field optional: it’s unclear why it’s required, and maybe folks will be more comfortable sharing if it is optional.
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Blog post is now live: - https://news.ycombinator.com/item?id=40442039 - https://jnnnthnn.com/how-to-build-your-own-perplexity-for-an...
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Blog post is now live: - https://news.ycombinator.com/item?id=40442039 - https://jnnnthnn.com/how-to-build-your-own-perplexity-for-an...
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Perplexity offers a Reddit "focus" which does exactly that! https://www.perplexity.ai
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Thanks for the kind words!

Yes, the underlying dataset very much conditions the quality of the responses. Additionally, the retrieval strategy is also a really important factor (and that is something which I haven't had time to extensively optimize).

I'm writing a blog post that will answer your questions! Will post it here when it's fully baked.

jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Thanks for flagging! Actively debugging, looks like one of my DB vendors is having some uptime issues. If you retry a couple times you should (eventually) get lucky.
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Hey! Thank you! See https://news.ycombinator.com/item?id=40402935
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Hey! Not open source, largely because I don't have time to make it good enough for me to feel comfortable sharing what's otherwise pretty scrappy code, but I'm planning a blog post detailing how it was built.

Tech stack is https://news.ycombinator.com/item?id=40238913 + the addition of turbopuffer for the new functionality.

jnnnthnn··on Head of Alignment at OpenAI Resigns
X links are currently broken on HN and don't work with threads on archive.is. Alts:

- https://x.com/janleike/status/1791498187313963308

- Screenshot copy https://jnnnthnn.com/leike.png

jnnnthnn··on Jan Leike's (ex-superalignment lead) thoughts on safety at OpenAI
Uploaded a screenshot here as X.com links appear to be broken this morning: https://jnnnthnn.com/leike.png
jnnnthnn··on Jan Leike's OpenAI departure statement
X.com links are currently broken on HN so I posted a screenshot instead

https://x.com/janleike/status/1791498187313963308

jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
No. It will get offered to you once you exceed the monthly GPT-4o limit (currently 5 to avoid breaking the bank).

GPT-4o outperforms all local models so I figured using it as a fallback was the right approach :)

jnnnthnn··on [broken] Cursor trains a 70B model that achieves >1000 token/s using...
I pasted https://x.com/amanrsanger/status/1790947733899203027 as the URL but it appears to get rewritten to https://twitter.com/x/migrate?tok=eyJlIjoiL2FtYW5yc2FuZ2VyL3... (presumably due to twitter.com migrating to x.com), and the resulting URL is broken?
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
I made the caching window substantially longer (2 days instead of a few minutes) upon noticing most queries weren't about current events, and fixed a bug in the cache resolution logic that'd lead to a substantial number of cache misses.
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Thank you!
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Thanks for the feedback! That feature is there, just not discoverable enough!

Try clicking on the relative time (e.g. "over 1 year ago"). Should take you immediately to that comment on HN, and you can then hit back in your browser to return to Hacker Search.

Agreed on the extension. That's coming next!

jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
I’m so glad you like it! Thank you for taking the time to write this kind note.
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Hey! This leverages the official HN API (https://github.com/HackerNews/API), no scraping involved. I don't think it's my place to opine on "who owns the posts".
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Yeah, that'd be a really nice thing to have! My current (and naive) approach is to just limit to the last 3 years of data. That said, it should be easy to add a date filter as a first step, and potentially have a more ingenious approach for letting the LLM reconcile contradictory statements based on the time at which they were posted.
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
I feel that it performs really well on queries like those on the landing page, that generally have to do with understanding HN's sentiment about something or finding resources to learn about a topic.

As to your second question, someone looked up “What are some famous Google office pranks?” (https://hackersearch.net/ask?q=What%20are%20some%20famous%20...?) earlier today and I found some gold in there. Some of the hot takes on Gary Marcus have cracked me up too (https://hackersearch.net/ask?q=what%20do%20you%20think%20of%...?).

jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
I got some feedback that GPT-3.5 was letting people down so improved my caching strategy and defaulted everything to GPT-4o!
jnnnthnn··on Improvements to data analysis in ChatGPT
https://julius.ai is great
jnnnthnn··on Improvements to data analysis in ChatGPT
True! I had "things that store my data in the cloud" in mind.
jnnnthnn··on Improvements to data analysis in ChatGPT
> Instead of downloading files to your desktop and then uploading them to ChatGPT, you can now add various file types directly from your Google Drive or Microsoft OneDrive. This allows ChatGPT to understand your Google Sheets, Docs, Slides, and Microsoft Excel, Word, and PowerPoint files more quickly.

As far as I know, this is the first integration of other cloud products in ChatGPT that's done as a 1st party integration (vs. "GPTs", which are all 3rd party)?

jnnnthnn··on Using Llamafiles for embeddings in local RAG applications
Oh yeah! What I meant is having Ollama run on the user's machine. Might not work for the use case you're trying to build for though :)
jnnnthnn··on Using Llamafiles for embeddings in local RAG applications
Could you sidestep inference altogether? Just return the top N results by cosine similarity (or full text search) and let the user find what they need?

https://ollama.com models also works really well on most modern hardware

jnnnthnn··on Using Llamafiles for embeddings in local RAG applications
You might not want them to have that information, but I think Google's history search now supports that for Chrome users: https://myactivity.google.com/myactivity
jnnnthnn··on Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments
Thank you! And... got a link to share? :)
Page 1 of 3Next →