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3488 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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64 resources
RudderStack's free library of explainer articles on data engineering, data infrastructure and machine learning, covering topics such as generalization, deep learning and supplying customer data to LLM applications. RudderStack sells a customer data platform.
A State of AI page by Nathan Benaich of Air Street Capital, reviewed October 31, 2026, comparing separate estimates of AI adoption, spending and financial returns, and explaining who each source measured, when, and what it counted as adoption.
Developer documentation for Olostep's /v1/batches endpoint, which submits large lists of URLs for scraping in one job and returns page content such as Markdown or HTML, with request parameters, status polling and retrieval examples. Olostep is a paid web-data API; reading the documentation is free.
Ramp's data index tracking business AI adoption over time.
Resume Now's report comparing Bureau of Labor Statistics projected employment growth for 2025–2035 across 70 U.S. occupational groups with employee reviewers' outlook on their employers' futures.
Gallup's findings on the continued decline in global employee engagement.
NYCEDC's monthly economic snapshot for October 2026, tracking the strength of New York City's economy. It notes private-sector employment fell by 23,000 in September, and the inaugural Spotlight of the Month covers the immigrant workforce ahead of the Statue of Liberty's 140th anniversary.
An interactive tool that maps 1,920 degrees to 811 occupations across the 50 states and DC, comparing salary data, hiring volume and growth paths using BLS, O*NET and other public sources.
Pew fact sheet on which social media platforms U.S. adults use, with demographic breakdowns and trends; YouTube and Facebook are the most widely used.
CompTIA's monthly tech jobs report: September 2026 active tech postings above 625,000, rising AI-skill postings and roughly flat tech occupation employment near 7 million.
Findings from JetBrains' Developer Ecosystem Survey 2026 of more than 15,000 professional developers: 90% used AI coding agents at work at least weekly as of mid-2026, and 68% used them daily. The report tracks how agents are carving out a place in developers' toolkits.
Nonprofit building open-source tools that let people get insights from data they cannot directly access or share.
Organization working on people's control over their data and digital lives, with research, newsletters and the Frequency protocol for a more open internet.
Stanford Digital Economy Lab dashboard tracking employment for workers by age and AI exposure, updated as new payroll data arrives.
Free simulation platform that introduces quantitative finance research; users in approved countries can become paid research consultants.
U.S. Bureau of Labor Statistics monthly data on job openings, hires, quits and layoffs. The BLS site blocked the automated check, so this description is based on the page title.
The Governance Lab's research, publications and programs on how institutions can govern more effectively and legitimately through technology and data.
No-cost, self-paced and live courses, workshops and coaching on data, digital, AI and innovation skills for people working in government.
Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
Bespoke Labs' open-source toolkit for local typed decisions, contrastive data curation and model evaluation.
Why I recommend it: Free and open source, from a company that also sells services — the repo is usable on its own.
NYCEDC's monthly data briefing on the city's economy as of September 24, 2026: private-sector employment down 12,900 in August, unemployment at 4.8% after six straight monthly declines, labor force participation at 62.1%, median asking rent near $4,000, plus office visitation, tourism, and transit numbers.
Why I recommend it: The one-page-per-topic format makes this the fastest way to sound current on the NYC economy in an interview or a client meeting. Read the jobs and small-business pages; skip the real-estate detail unless it touches your field. It is a city agency's own read of its own economy, so pair it with the raw BLS numbers if you need the unspun version.
A roundup of 2026 hiring data — job openings, applications per role, skills-based hiring and time-to-hire — with the sources behind each figure.
Why I recommend it: Published by a university that sells degrees, so read the education-related claims with that in mind; check the linked original sources before quoting a number.
Hiring guides, salary context and role descriptions for data positions, published by a data-focused staffing firm.
From the site: As data science recruiters, we love share our insights on the process. Here's a collection of our best resources and tips for recruiters.
Why I recommend it: This is written for recruiters, not candidates — read it that way. It shows you how data roles get scoped and screened before you ever see the posting.
Current openings in data engineering, analytics and data science posted by Dataspace, a staffing firm that specialises in data roles.
From the site: Browse open data science contract jobs, including data science, engineering, and analytics roles at industry-leading companies nationwide.
Why I recommend it: A niche board rather than a big one. Worth a look precisely because far fewer people are applying through it than through the giant sites.
