Resources

A short, opinionated list. Books I've actually read, tools I've actually used, platforms that have actually helped. Most affiliate links go to Amazon — disclosure here. None of these recommendations change based on commission rate.

Books worth reading (job hunt & career)

Never Split the Difference — Chris Voss

The single best book on negotiation. The author was an FBI hostage negotiator; the techniques translate to salary conversations, exec interviews, and any high-stakes ask. The chapter on calibrated questions changed how I phrase every negotiation email.

The Lean Startup — Eric Ries

Not a job-hunt book, but the build-measure-learn loop applies directly to applications: send 5, measure what got replies, change one thing, send 5 more. Most job-seekers send 200 of the same application and wonder why nothing works.

Designing Your Life — Bill Burnett & Dave Evans

For people who don't know what they want next. Most career advice assumes you have a target; this book helps you find one. The “Odyssey Plan” exercise is worth the price of the book on its own.

So Good They Can't Ignore You — Cal Newport

The case against “follow your passion.” The argument: get rare and valuable skills first, then options follow. If you're trying to figure out whether to specialize or generalize early in your career, this is the clearest framework I've read.

Atomic Habits — James Clear

For the job-hunt grind itself. Applying to jobs is a habit problem more than a motivation problem — the people who get offers usually applied consistently for months, not in bursts of inspiration.

Books worth reading (interview prep)

Cracking the Coding Interview — Gayle Laakmann McDowell

The standard reference for technical interviews. If you're prepping for FAANG-tier coding rounds, this is still the most efficient way to cover the question patterns.

Designing Data-Intensive Applications — Martin Kleppmann

For senior backend / staff-level system design interviews. Not interview prep per se — a book on how distributed systems actually work — but the candidates who can talk through trade-offs in DDIA-level detail are the ones who pass senior system design rounds.

Case in Point — Marc Cosentino

The standard reference for consulting case interviews. If you're recruiting for MBB or Tier-2 consulting, read this and practice 30 cases before any real interview.

AI tools (worth paying for)

ChatGPT (free + Plus)

The default. Free tier is enough for most job-hunt prompts on this site. Plus ($20/month) is worth it if you're feeding long inputs (5-page job descriptions, multi-paragraph resumes) or using image/file uploads.

Claude (free + Pro)

The model I personally use for writing-heavy tasks. Longer context, generally better at refusing to invent (which matters for resumes and cover letters), better at following long structured prompts. Pro is $20/month.

Gemini (free + Advanced)

Worth trying if you're already in Google Workspace. The Gmail integration is genuinely useful for outreach drafts; the Docs integration is fine. Free tier is enough for most users.

Comp data (use multiple sources)

Levels.fyi

The best source for tech comp data. Real submissions, sorted by company, level, and geography. If you're negotiating a tech offer, this is your primary source. Free.

Glassdoor

Decent for non-tech roles where Levels has thin coverage. The data is noisier — mix of estimates and self-reports — but it's the broadest free dataset for most industries.

Blind

The anonymous discussion board for tech professionals. Useful for: real comp discussions, company-specific interview reports, and unfiltered takes on workplace culture. Requires a work-email signup. Free.

Bureau of Labor Statistics OES

For roles where private comp databases are thin (government, nonprofit, trades, healthcare-adjacent). Aggregated by occupation and metro area. Free, public.

Job boards (the ones actually worth time)

LinkedIn Jobs

The default. Broadest coverage. The catch: many postings are reposted, some are ghost jobs (companies fishing for resumes with no real role to fill). Filter by “Easy Apply” off — the apply-off-platform postings are more likely to be real.

Work at a Startup (Y Combinator)

The best place for YC-backed startups. Roles are real, the recruiting is fast, and the salary bands are usually visible. Heavily skewed toward eng / product / GTM at early-stage companies.

Wellfound (formerly AngelList Talent)

Best for finding non-YC startups. Salary and equity are visible on most listings, which is unusual. Works best for IC roles at Series A-C companies.

Otta (Welcome to the Jungle)

Best UX of any job board I've used. Filters by tech stack, company size, mission. Coverage is best in tech and product/design roles in US, UK, and EU.

4 Day Week

Niche but useful: companies offering 4-day workweeks. Smaller listings volume but high signal — if you've decided you want this benefit, it's the only place that filters for it.

Learning (when you need a new skill before the next role)

Coursera

Best for credentialed learning (university certificates) and dense technical content (Andrew Ng's ML courses, the Google data analytics cert). Worth paying for if you're using it as a credential; the audit tier is free.

Maven

Best for cohort-based courses on practical career topics (negotiation, sales, PM). Live sessions with the instructor, small cohort, 4-8 weeks. Expensive but the format produces actual behavior change.

Reading (still)

Books are still the highest-density learning format for most subjects. A book is ~10 hours of focused content for $15; a course is ~10 hours for $200+. For most career skills, the book first, then the course if the book isn't enough.

What I don't recommend

Most resume-builder SaaS tools

The output is usually worse than what ChatGPT + a refuse-to-invent prompt produces, and the monthly subscription is unjustified for a tool you use for 4 weeks. If you want a structured resume, use a template (free in Google Docs) and the resume prompt.

“AI cover letter generator” SaaS tools

Same issue. The generators produce the median ChatGPT cover letter, which is the one recruiters skip past. ChatGPT free + the free cover letter prompt with a specific reason field is materially better.

Career coaches who charge before they understand your situation

Good coaches exist and are worth the money. The red flag: any coach who quotes a price (especially a high one) before a free 20-30 minute call to understand your situation. If the pitch is the same for everyone, the coaching will be too.

LinkedIn premium for most job-seekers

The InMail credits and “applicant insights” aren't worth $30/month for most candidates. Where it's worth it: recruiters and active business-development professionals. For job-seeking, the free tier + getting the recruiter-search settings right (covered in the LinkedIn bundle module) does more.

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