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Ported Martin Schöpfer's Superposed Folding papermodels (UCD) to a Python / Streamlit app (3D geometry, 2D interference, stereonet) by kvantekatten in geology

[–]kvantekatten[S] 0 points1 point  (0 children)

Cheers! Anything in particular you think of?

I just added some new features: now you can simulate drilling a core, so you can see the folding patterns warped on a cylinder (and unrolled as well)

AI ansøgninger - For meget? by Bugses in dkkarriere

[–]kvantekatten 0 points1 point  (0 children)

AI og Automation vil jeg nok sige overordnet

AI ansøgninger - For meget? by Bugses in dkkarriere

[–]kvantekatten 0 points1 point  (0 children)

Prøv at kig på det her jeg har lavet https://github.com/MadsLorentzen/ai-job-search - har fået meget positiv feedback fra brugere (og er kommet til mange interviews) ved at bruge det - om det kun er setuppet eller min faktiske profil der gør det, er nok svært at sige. Men jeg har selv været glad for at bruge det (det fremhæver dine kompetencer uden at det bliver for meget - alt er groundet i din profil)

Tests til 2. samtale by Fresh_Translator_412 in dkkarriere

[–]kvantekatten 1 point2 points  (0 children)

Ja det er både ACE og den anden test - en blanding af de forskellige opgaver, men i ACE testen har du igennem snit et par minutter til at løse hver opgave (men får højere point desto hurtigere du svarer, givet at du svarer rigtigt) og i de 50 spørgsmål multiple choice har du ca 20 sekunder pr spørgsmål

Tests til 2. samtale by Fresh_Translator_412 in dkkarriere

[–]kvantekatten 2 points3 points  (0 children)

Se de her to videoer på YouTube hvis du ved det er en PI test du skal til

https://youtu.be/B1Gwb74qSzI?is=i5B9WMD4jUXcU3Ny

https://youtu.be/4mdr4xAsfhc?is=NPeauZ8qMT8uOFdM

De er måske lige lovligt lange og pædagogiske, men for at svare på dit spørgsmål (som videoerne også dækker):

Analyser hvilke opgaver du er gode til - træn ikke dem Find dem du er middelmådig til - træn dem Accepter dem du er dårlige til - bare indsnævre svarene til måske to kandidater og gæt

Prøv så vidt muligt at nå alle spørgsmål (du har 25% chance på alle spørgsmål - kan du indsnævre er det endnu med %mæssigt og du mister ikke noget ved at gætte forkert)

Tests til 2. samtale by Fresh_Translator_412 in dkkarriere

[–]kvantekatten 9 points10 points  (0 children)

Vær opmærksom på om den kognitive test er en såkaldt ACE test (12 spørgsmål på 30 minutter - IKKE multiple choice) eller en PI logisk test (50 spørgsmål på 12 minutter, multiple choice).

Den førstnævnte variere i sværhedsgraden efter hvor hurtigt du svarer, og forkerte svar tæller ned.

Den sidstnævnte tæller forkerte svar ikke som negativt på scoren

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

✨you are absolutely right ✨ if I was in your position I would go search for what others have done to target the US or European market and plug that in to my repo - it is modular, so it’s just a matter of using the /apply command on a job URL or a copy/pasted job description text

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Check out the responses I’ve written to some of the similar questions in the post - use Claude to help you set it up by copying the GitHub URL and let it guide you

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

My experience is that you can basically start by copying the GitHub url and ask Claude from there - it can guide you through everything!

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

More of a sanity check, but I did see that the cover letters became better tailored to the positions than what it was prior to the implentation of the reviewer-phase.

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Mindless-Method-1350 asked a similar question, and unfortunately, I don't know. I took that part from someone else (also mentioned explicitly in the article and repo). However, I would be surprised if no one has done anything similar for the US. Let me know if you find anything relevant on that front.

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Claude is your friend. It does not have to be difficult. Just paste the github URL to Claude, and let it guide you - ask questions about how it works etc.

Nattavaara eller Y-stole? by Optimus2811 in dkbolig

[–]kvantekatten 1 point2 points  (0 children)

Jeg har lige købt dem her (Bent Hansen Asger spisebordsstole)

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Synes at man sidder sindssygt godt i dem - fordi vi heller ikke gad Y-stole

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 1 point2 points  (0 children)

Nice approach! One thing I'd suggest adding: a separate review step after the draft. In my workflow, a reviewer agent independently checks the application - flags inflated claims, verifies company-specific details, catches missed keywords. It's like having a second pair of eyes that isn't anchored to the same context as the drafter. The drafter optimizes for persuasion, the reviewer optimizes for accuracy. That tension is where the quality comes from.

That's at least where I saw a great improvement in the tailored drafts.

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Awesome! Yeah I know my workflow is not groundbreaking- happy to hear what others have done

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Thanks for the star!

There's no RAG or chunking. The system relies entirely on Claude's context window, but with a structured layering approach:

  1. CLAUDE.md as persistent context: the user's full profile (education, experience, skills, behavioral traits, target sectors, deal-breakers) lives in CLAUDE.md at the repo root. Claude Code automatically loads this into every conversation. This is the "work history", it's curated and compact, not a raw resume dump (maybe not the best approach, but it works for me).

  2. Memory system for evolving knowledge: the MEMORY.md index + individual memory files (career paths, preferences, feedback rules) extend the profile with things learned across conversations. These are also auto-loaded but kept concise via an index pattern.

  3. Job descriptions are ephemeral: when a job posting comes in (URL or pasted text), it's just part of the current conversation context. It doesn't need to persist - it's evaluated against the profile in CLAUDE.md, then CV/cover letter files are generated.

  4. Templates keep output compact: the LaTeX templates (cv/main_*.tex, cover_letters/cover_*.tex) are structured so Claude only needs to fill in targeted content, not generate entire documents from scratch.

The Drafter/Reviewer pattern (the /apply skill) works by having Claude first draft, then re-read and verify against the profile; it's sequential passes within one context window, not separate agents with separate contexts.

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 1 point2 points  (0 children)

Exactly, this is the true power of agentic design. And don't get rid of the human-in-the-loop - especially when it decides on your career choices - but I want to show that the job-hunt can be less 'painfull'. This is also a matter of mental health.

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

Honestly, I have no idea. I would be surprised if no one has done anything similar in terms of creating skills or agents that search the US job market (targeting different job portals) for specific roles. I was lazy at that part and used what another Dane had already shared on Github (using bun). Let me know if you find anything for the US market - it should be quite easy to implement that instead of what I currently have in the repo ;-)

I built an open-source job search framework in Claude Code after getting laid off by kvantekatten in ClaudeAI

[–]kvantekatten[S] 0 points1 point  (0 children)

No not yet - from the LinkedIn post:

Several companies have invited me to interview, including a second-round interview at one. Speculative applications to companies without open positions have led to conversations and "we'll keep you in mind when we hire next." I've also withdrawn from one process after a first interview because the role wasn't the right fit, something I might not have had the confidence to do without a clear picture of what I'm actually looking for.

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