boxcarr
Joined 12 years ago
Karma
83
Submissions
25
Member since
May 12
Recent submissions
Comment · 1 year ago
Looks pretty great! The free tier also looks reasonable. The pricing on the other tiers isn't outrageous either if you use it consistently. Unfortunately, I likely find myself in the big gap between the free tier and the Basic plan. I can't justify yet another subscription that I use only a couple of times a year. That said, I would happily pay the $6 on the months that I use the service. Given the churn issues, I'm surprised more SaaS offerings don't work that way.
Comment · 2 years ago
Motherduck.com has a pop-up promotion to get the book for free.
Comment · 3 years ago
Not sure if you found this as well, but gpt-3.5-turbo-016 does a poor job following instructions other than parsing. So, to work around this, we prompt gpt-3.5-turbo with the rules we want applied say an extracted field and then go back to gpt-3.5-turbo-016 to parse with chatgpt functions.
Bottom line, every single post requires approximately 10 different prompts to refine the extraction.
Comment · 3 years ago
JobLens is cool! This past month we had the same idea -- it's been a fun project:
https://hnjobs.u-turn.dev
ChatGPT does an incredible job parsing, but then lots of effort goes into normalizing and deduping each field. Long story short, your results look quite good to me!
Comment · 3 years ago
Wayback Machine partially to the rescue. Found the page (https://web.archive.org/web/20150325003301/https://foundatio...), but the Vimeo video was nuked when foundationdb.com shutdown. Here's the HN thread about that demo:
Comment · 3 years ago
Location: Seattle, WA
Remote: yes
Willing to relocate: maybe
Technologies: Go, JavaScript, TypeScript, Python, Postgres, SQLite, SQL, PyTorch, FastAI, LLM, NextJS, React, GCP
Résumé/CV: https://u-turn.dev
Email: [email protected]
Product engineering leader helping build great teams. Twenty-plus years of software development. Over the past decade have helped turn around multiple products and teams in crisis.
Currently focusing on helping organizations apply deep learning and LLMs for information extraction from unstructured sources. A recent project in that vain: https://hnjobs.u-turn.dev
Comment · 3 years ago
Goodreads seems to be the Craigslist of the book world: many attempts by others to make a better Goodreads, but none good enough to displace it.
Comment · 3 years ago
When I saw the post about Foundation DB, I remembered the exact same demo running on a cluster of Raspberry Pi instances! Sadly, no memory of it on YouTube.
Comment · 3 years ago
We use ChatGPT to extract information about jobs and candidates for the past two months. With structured jobs and candidates, you can filter instead of just searching and scrolling.
There's a small write-up on how we went about processing HN Who Is Hiring with ChatGPT:
Comment · 3 years ago
From the blog post:
> Interestingly, those who felt the greatest boost in mood also experienced the biggest drop in heart rate variability.
A drop in HRV isn't generally good. So I check the paper, and found this:
> No significant changes were found in heart rate variability or resting heart rate over the course of the study in either of the groups (Figures 4C and 4D)
There was a reduction respiratory rate for those an increase in daily positive affect. Bottom line, unclear if this particular study points to a positive health outcome other than feeling happier.