Resource Hub
3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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80 resources
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A practice platform for implementing machine learning algorithms from scratch in Python, NumPy, PyTorch, CUDA and Triton, with math explanations, visualizations and research-paper implementations. A free tier covers core problems and the ML math library; premium plans add study roadmaps and more.
A collection of free articles and guides from Big Interview on interview preparation, common questions, and job-search strategy.
Guide to informational interviews — conversations with someone working in a field you want to know more about, which the article stresses are not job interviews. Covers how to find people through your network, LinkedIn and job fairs, what the conversation can reveal about a job's day-to-day duties and responsibilities, and how to follow up with a thank-you note. Includes lists of occupational and functional questions to ask.
A free library of technical-interview material from CodeSignal: practice guidance, explanations of how coding assessments are scored, interview question breakdowns and hiring-process write-ups. Useful preparation if a company has sent you a timed coding assessment.
Why I recommend it: The resource library is free to read. Bear in mind CodeSignal sells assessment software to employers, so the writing naturally presents these tests as a fair measure of skill — read it for what it tells you about how the tests work and what they reward, which is useful when one lands in your inbox.
A mentorship platform that matches you with a mentor working in your field — design, product, engineering, marketing and more. Signing up and your first session are free.
Why I recommend it: Free to join and the first session is free; ADPList also promotes paid plans and some mentors charge, so check the mentor page before booking. Free-tier value: browse mentors, book open calendar slots, ask for a portfolio or interview review.
Upload a resume and paste a job description to get an ATS match score, missing keywords, a tailored resume, cover letter, recruiter message and interview prep for that specific role.
From the site: Upload your resume, paste a job description, and get an ATS match score, missing keywords, a tailored resume, cover letter, recruiter message and interview prep.
Why I recommend it: The free plan covers 10 complete applications a month with no card required; larger bundles are paid. Never send a rewritten resume out unread — check every claim is still true about you before you apply.
Well-explained computer science and programming tutorials, quizzes, and interview practice problems.
From the site: Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Why I recommend it: Ad-supported; most articles and practice problems are free to read.
Question banks for more than 100 technical roles — Node.js, Azure, Golang, Kubernetes, OAuth and more — each with sample answers, updated regularly. Free to read with no sign-up.
From the site: Ready-to-use technical interview questions and structured guides for developer roles and frameworks, from Remix to Magento. Updated September 2026.
Why I recommend it: Written for the people doing the interviewing, which is exactly why it is useful — you get to see the questions and the answers they are grading against.
OpenAI's open-source speech recognition model and command-line tool, free to download and run on your own machine. MIT licensed.
From the site: Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper
Why I recommend it: The original. Slower than whisper.cpp on a laptop, but the reference version and simple to install with Python.
A fast, dependency-light rewrite of OpenAI's Whisper speech-to-text that runs on ordinary laptop hardware, including CPU only. MIT licensed.
From the site: Port of OpenAI's Whisper model in C/C++. Contribute to ggml-org/whisper.cpp development by creating an account on GitHub.
Why I recommend it: Transcribe interviews or your own practice answers privately, without paying a per-minute transcription service.
The National Association of Colleges and Employers' free library on career readiness — the eight competencies employers say they screen for, plus assessments and guides.
From the site: NACE members share resources they have developed to communicate with college students and others about how to develop key competencies, known as the NACE Career Readiness Competencies, needed to be considered ready for the workforce.
Why I recommend it: This is where the "career readiness competencies" language in graduate job descriptions comes from — worth reading so you can mirror it back. Paywall note: the competency pages linked from here are free, but NACE's survey data, salary reports and full Job Outlook editions require paid membership — stick to the free material unless your school already has a membership.
An AI answer engine that searches the live web and cites its sources, with a free tier that covers everyday research.
Why I recommend it: Good for a first pass on a company, an industry, or a role — then click the citations and read the originals yourself.
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
A free breakdown of what AI-company product interviews actually test: judgment about which problems are worth solving, not memorised frameworks or polished STAR stories.
Why I recommend it: Read this if you keep getting "not strategic enough" feedback in senior interviews.
A free conversation with Veronica Salcido of GrowthAssistant on hiring for durable skills that outlast specific tools, and what that means for how candidates present themselves.
Why I recommend it: Hear how a hiring leader actually judges candidates, then mirror that language in your applications.
An AI platform for professionals to articulate their value, build targeted CVs, and match to roles aligned with their strengths rather than keyword-matching job descriptions.
Why I recommend it: Free to explore, with paid coaching behind it — use the strengths framing to sharpen how you describe yourself, then apply it wherever you want.
A free-forever resume builder from former tech recruiter Tejal Rives that teaches the CAFE method (Cause, Action, Findings, Effect) for writing stronger bullets instead of just generating them, plus a job application tracker.
Why I recommend it: The teaching part is the point. Learn the CAFE structure here once and you can write good bullets anywhere, with or without the tool.
Huntr's data-backed look at resume formats — chronological, functional, and combination — and which structure holds up with recruiters and applicant tracking systems.
Why I recommend it: Format questions eat a lot of people's time. Read this once, pick chronological unless you have a real reason not to, and spend the rest of your energy on the bullet points.
How AI-powered applicant tracking systems parse resumes and what candidates can do to stay readable and authentic.
Why I recommend it: Practical look at the hidden instructions resumes trigger in AI screening tools.
A September 2026 working paper by Brian Jabarian (Carnegie Mellon) and Luca Henkel (Erasmus Rotterdam) reporting a field experiment with 70,000 real applicants randomly assigned to be interviewed by a human recruiter or an AI voice agent. Applicants interviewed by AI were 12% more likely to receive an offer, with higher job starts and retention and no drop in on-the-job productivity. Transcript analysis traces the gain to more structured, consistent interviews that still adapt to each applicant.
Why I recommend it: If you have been told AI interviews are stacked against you, this is the largest piece of real evidence so far and it points the other way: consistent, structured questions helped candidates more than a tired recruiter on their eleventh call did. Prepare for them like any structured interview, with clear, specific answers.
Created by Brian Jabarian and Luca Henkel
Career and job-search insights from Bryan Creely, a corporate recruiter of 25 years, covering layoffs, resumes, interviews and how hiring decisions actually get made.
Why I recommend it: Recruiter-side perspective on why applications get rejected. The free articles and videos are the useful part.
A LinkedIn article by Alex Pyatkovsky on what interviewing with more than 100 companies in a single year revealed about how hiring processes really work.
Why I recommend it: A first-hand account of a long search. Useful for calibrating expectations.
A due-diligence checklist for job seekers: the questions to ask a startup about funding, runway, leadership and role before you say yes.
Why I recommend it: Interviews go both ways. Bring three of these to your next final round.
