51–60 of 217 posts
How much would this cost if I did it via API?
[1] https://www.llm-prices.com/#it=85000&ot=2000&ic=2&oc=8&sb=in...
I built a similar tool that profiles/roasts your HN account: https://hn-wrapped.kadoa.com/ It’s funny and occasionally scary Edit: be aware, usernames are case sensitive
Touche LLM
I built a similar tool that profiles/roasts your HN account: https://hn-wrapped.kadoa.com/ It’s funny and occasionally scary Edit: be aware, usernames are case sensitive
Amazing.
Thanks!
I recently migrated to Linkwarden [0] from Pocket, and have been fairly happy with the decision. I haven't tried Wallabag, which is mentioned in the article. Linkwarden is open source and self-hostable. I wrote a python package [1] to ease the migration of Pocket exports to Linkwarden. [0] https://linkwarden.app/ [1] https://github.com/fmhall/pocket2linkwarden
I do this to determine if a person I'm talking to online is potentially a troll. I copy a big chunk of their comment and post history into an LLM and ask for a profile. The last few years, I've noticed an uptick in "concern trolls" that pretend to support a group or cause while subtly working to undermine it. LLMs can't make the ultimate judgement call very well, but they can quickly summarize enough information for…
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I recently migrated to Linkwarden [0] from Pocket, and have been fairly happy with the decision. I haven't tried Wallabag, which is mentioned in the article. Linkwarden is open source and self-hostable. I wrote a python package [1] to ease the migration of Pocket exports to Linkwarden. [0] https://linkwarden.app/ [1] https://github.com/fmhall/pocket2linkwarden
I built a similar tool that profiles/roasts your HN account: https://hn-wrapped.kadoa.com/ It’s funny and occasionally scary Edit: be aware, usernames are case sensitive
> Your profile reads like a 'Hacker News Bingo' card: NASA, PhD, Python, 'Ask HN' about cheating, and a strong opinion on Reddit's community. The only thing missing is a post about your custom ergonomic keyboard made from recycled space shuttle parts.
Maybe just me, but that title implies o3 is doing something surprising and underhanded, rather than doing exactly what it had been prompted to do.
After reading this I realized I also have an archive of my pocket account (4200 items), so tried the same prompt with o3, gemini 2.5 pro, and opus 4: - chatgpt UI didn't allow me to submit the input, saying it's too large. Although it was around 80k tokens, less than o3's 200k context size. - gemini 2.5 pro: worked fine for personality and interest related parts of the profile, but it failed the age range, job role,…
You should take this as a sign, and shoot for SWE jobs - given your interest. What you do at work today doesn't mean you can't switch to a related ladder.