Top all-time · #11572
Ross Lazerowitz
Personal blog · rosslazer.com/postsaistartups
Ross Lazerowitz's personal blog at rosslazer.com covers ai and startups. Since 2022, 6 different Hacker News readers have linked it 23 times, most often “Fine-tuning GPT3.5-turbo based on 140k Slack messages”. It is still writing: the last post was on 2026-09-13, and you can follow it by feed.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN commenters link posts on a startup tooling stack for product management, sales and marketing, and on fine-tuning GPT-4.1. The comments only point to these posts and do not judge the writing.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Ross Lazerowitz's personal website
Most-linked posts?
- Fine-tuning GPT3.5-turbo based on 140k Slack messages4 people · 5 mentions · first linked 2023-09-05
- Pivoting2 people · 3 mentions · first linked 2023-12-03
What Hacker News says?
OP, always enjoy seeing these lists but your shameless plug link for Observe goes to a 404: https://rosslazer.com/posts/startup-tooling/observeinc.com
Comment linking /posts/startup-tooling/observeinc.com
on “Startup tooling: our product management, sales, and marketing stack”Submitted Startup tooling: our product management, sales, and marketing stack as a story · 91 points
HN discussionHow did you structure the dataset for FT? Reminds me of: https://rosslazer.com/posts/fine-tuning/
Comment linking /posts/fine-tuning/
on “Show HN: I fine-tuned GPT4.1 on my iMessage history”Submitted Use It or Lose It: Implementing Usage-Based Pricing (Part 2) as a story · 16 points
HN discussionNice! I did something similar with GPT 3.5 and slack https://rosslazer.com/posts/fine-tuning/
Comment linking /posts/fine-tuning/
on “Show HN: WhatsApp-Llama: A clone of yourself from your WhatsApp conversations”Submitted Use It or Lose It: Why Usage-Based Pricing (Part 1) as a story · 9 points
HN discussionSubmitted How can we take claims of AGI seriously if it can't even order a pizza? as a story · 6 points
HN discussionSubmitted Everyone Is Mossad Now as a story · 3 points
HN discussionSubmitted Trust = Intent and Expertise: On Founder Fit as a story · 2 points
HN discussionSubmitted Opportunities in Observability: What the ELK Stack Missed and Where AI Fits In as a story · 2 points
HN discussionSubmitted Pivoting as a story · 2 points
HN discussionSubmitted On Pivoting: Why We Ditched AI Observability as a story · 2 points
HN discussionSubmitted Fine-tuning GPT3.5-turbo based on 140k Slack messages as a story · 2 points
HN discussionSubmitted Life-Changing Books in Tech, Science, Business and Fiction: A Geek's Guide as a story · 2 points
HN discussionSubmitted GPT4: I Learned to Stop Worrying and Love LLMs as a story · 2 points
HN discussionSubmitted Tips for Dealing with Vendors as a story · 2 points
HN discussionSubmitted Order Taking, Pain Killers, and Desperation: Avoiding Middling Startup Outcomes as a story · 1 points
HN discussionSubmitted The Right to Your Feed: A Simple Fix for Social Media as a story · 1 points
HN discussionSubmitted On Pivoting as a story · 1 points
HN discussionSubmitted Fine-tuning GPT3.5-turbo based on 140k Slack messages as a story · 1 points
HN discussionSubmitted Do Something Crazy: From First PM to Founder as a story · 1 points
HN discussionSubmitted Fine-tuning GPT3.5-turbo based on 140k Slack messages as a story · 1 points
HN discussionSubmitted Code Yellow: The Secret Weapon for Tackling Product Disarray as a story · 1 points
HN discussion