jackdawed

Joined 6 years ago

Karma
332
Submissions
53
Member since
Jan 1
scriptwizards.org dungeonbooks.com
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Recent submissions

Comment · 1 month ago
I own a bookstore and about 90% of back office work is automated by software and AI. Probably most fulfilling project I've worked on in the past few years after taking a long break from tech.
Comment · 2 months ago
Comment · 4 months ago
I use GLM 5.2 via Neuralwatt and it's gotten so cheap I wouldn't mind cancelling my personal Claude subscription if work gave me one. I've spent 374M tokens this month and it only cost me $18 on energy-based pricing.
Comment · 6 months ago
I pre-gen all my plans with Opus 4.6, and if there's an outage, I use pi with Kimi K2.5 via Fireworks. It's comparable to Sonnet.
Comment · 6 months ago
I went down this rabbit hole last year after buying a carbonator. Rather than mixing a bunch of oils together, I bought my flavors from Bakto Flavors (based in NJ, USA) which is founded by Dr. Daphna Havkin Frenkel who did her research in food sciences and biotechnology, focusing on vanilla. The cola flavor is really good, and I add acetic acid (Vitamin C) + electrolytes to it. If I'm feeling it, I'll add in vanilla, cherry, or lime flavors to it.

Sad to hear she passed away recently this month.

Highly recommend Bakto's natural flavors.

Comment · 1 year ago
I once had a conversation with a potential co-founder who literally told me he was pasting my responses into AI to try to catch up.

Then a few months later, another nontechnical CEO did the same thing, after moving our conversation from SMS into email where it was very clear he was using AI.

These are CEOs who have raised $1M+ pre-seed.

Comment · 1 year ago
Small business owners work 997 and you don't see them incessantly posting about it. That's the catch, though. They own the business. Founders can subject themselves to 996 all they want but it's a failure of management to expect that from employees for less than 1% equity.

I took a break from tech to open my own bookstore and I definitely work more hours than when I worked at a pre-IPO $7B startup. I'm way less stressed. At least my bookstore doesn't wake me up at 3am 3 nights in a row, and expect me to come to work the next day.

Comment · 1 year ago
Comment · 1 year ago
I have been exclusively doing this in the past year, selling my services as “hardening vibe-coded prototypes for production” or “helping early stage startups scale”.

In the best cases, they were able to reach funding or paying users. Architecture debt is one of the worst kinds of tech debt, so if you set it up right, it’s really hard to mess up.

In the worst case, after my contract ended, the CEO fired the whole US engineering team and replaced them with offshore resources. This was an example of messing up despite the architectural and procedural safeguards we built.

Comment · 1 year ago
Comment · 1 year ago
One blogpost I found on HN completely leveled up how I use LLMs for coding: https://harper.blog/2025/02/16/my-llm-codegen-workflow-atm/

Having the AI ask me questions and think about the PRD/spec ultimately made me a better system designer.

Comment · 1 year ago
That's the core challenge in designing a system like this. Echo chambers and comfort cages emerge from recommendation algorithms, and before that, from lazy curation.

If you have control over the recommendation system, you could deliberately feed it contrarian and diverse sources. Or you could choose to be very constrained. Back in RSS days, if you were lazy about it, your taste/knowledge was dependent on other people's curation and biases.

Progress happens through trends anyway. Like in 2010s, there was just a lot of Rails content. Same with flat design. It wasn't really group think, it just seemed to happen out of collective focus and necessity. Everyone else was talking/doing this so if you wanted to be a participant, you have to speak the language.

My original principle when I was using Google Reader was I didn't really know enough to have strong opinions on tech or design, so I'll follow people who seem to have strong opinions. Over time I started to understand what was good design, even if it wasn't something I liked. The rate of taste development was also faster for visual design because you could just quickly scan through an image, vs with code/writing you'd have to read it.

I did something interesting with my Last.fm data once. I've been tracking my music since 2009. Instead of getting recommendations based on my preferences, I could generate a list of artists that had no or little overlap with my current library. It was pure exploration vs exploitation music recommendation. The problem was once your tastes get diverse enough, it's hard to avoid overlaps.

Comment · 1 year ago
I've noticed a lot of people are converging on this idea of using AI to analyze your own data, the same way the companies do it to your data and serve you super targeted content.

Recently, I was inspired to do this on my entire browsing history, after reading https://labs.rs/en/browsing-histories/ I also did the same from ChatGPT/Claude conversation history. The most terrifying thing I did was having an LLM look at my Reddit comment history.

The challenges are primarily with having a context window large enough and tracking context from various data sources. One approach I am exploring is using a knowledge graph to keep track of a user's profile. You're able to compress behavioral patterns into queryable structures, though the graph construction itself becomes a computational challenge. Recently most of the AI startups I've worked with have just boiled down to "give an LLM access to a vector DB and knowledge graph constructed from a bunch of text documents". The text docs could be invoices, legal docs, tax docs, daily reports, meeting transcripts, code.

I'm hoping we see an AI personal content recommendation or profiling system pop up. The economic incentives are inverted from big tech's model. Instead of optimizing for engagement and ad revenue, these systems are optimized for user utility. During the RSS reader era, I was exposed to a lot of curated tech and design content and it helped me really develop taste and knowledge in these areas. It also helped me connect with cool, interesting people.

There's an app I like https://www.dimensional.me/ but the MBTI and personality testing approach could be more rigorous. Instead of personality testing, imagine if you could feed a system everything you consume, write, and do on digital devices, and construct a knowledge graph about yourself, constantly updating.

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