Skills Get You Qualified – Placement Gets You Hired

01 /The Concept

NextWork is an educational platform with a clear pitch: "Build AI projects. Create your portfolio."

The name signals the real goal – this isn't just skills training. It's about landing a new job, specifically one that requires AI proficiency. Which, in the near future, means almost any job that isn't fully manual.

The platform currently offers around 50 projects, organized in two ways: by specific AI tool (Cursor, Ollama, etc.) or by role (ML engineer, cybersecurity specialist, and so on).

Each project is substantive. Learners don't just follow tutorials – they build working products. One example is a mini Spotify clone developed entirely in Cursor.

The advantage of project-based learning is obvious: the finished product becomes tangible proof of what a learner can do.

But any product needs to be presented well – how it works, what it does, what technologies are under the hood. Every project needs to become a persuasive pitch that "sells" the learner to a future employer.

Most people are terrible at this. That's where NextWork's real value comes in. The platform's AI engine automatically documents the build process and generates a polished presentation at the end – purpose-built to help learners impress employers.

In other words, NextWork delivers three things in one package.

First, learners acquire the skills that actually matter for getting hired.

Second, they join a community of peers working through the same projects – which means there's always someone to discuss a problem with, ask for help, or help in return. (And teaching something is, of course, the most effective way to learn it)

Third, a compelling portfolio gets built automatically in the course of all this activity – no extra time, no separate effort, and no need to be skilled at portfolio-building in the first place.

NextWork was founded in New Zealand in 2024 and immediately raised $2.3M in pre-seed funding.

Growth has been strong: over 180,000 users have registered on the platform. In the past week alone, hundreds of users across different regions were actively building projects – from India and Africa to Europe and the US. Americans already account for 22% of all projects on the platform.

NextWork is now moving its headquarters to the US to push harder into that market – and just raised an additional $4.5M to fund the expansion.

02 /Why It Matters

To get a good job, you have to be good at selling yourself. Anyone who's ever hired someone has experienced the other side of this: the candidate who nailed the interview and described their work brilliantly – but turned out not to deliver in practice.

The frustrating truth is that people who are genuinely good at doing things are often bad at talking about them. And this tends to be a category-level problem, not an individual one – especially among developers and technical professionals.

Platforms like NextWork that target this audience are going after a systemic fix to a systemic problem.

Interestingly, the same gap shows up on the job too – not just during hiring. Employees who can't present their work effectively are just as common as job candidates who can't sell themselves. And this includes technical founders, not just individual contributors.

One startup that tackled a variation of this problem is Waldium ([related review](/review/vot-kak-nuzhno-delat-mashinki)) – a Y Combinator alum that launched what it called an "autonomous blogging platform." The idea: the AI engine watches commits in a GitHub repo and automatically writes developer blog posts about changes, new features, and use cases. These posts help both with product marketing and with maintaining the product's visibility in AI assistants like ChatGPT.

Waldium has since evolved into what it calls an "AI-native CMS," adding features like user interview calls, support channel analysis, and web-based market research. But all of that functionality still serves the same core goal: helping developers promote themselves and their work more effectively.

At the level of the problem they're solving, NextWork and Waldium are working on the same thing: the self-presentation gap that plagues technical people. Whether it's a portfolio of learning projects or a developer blog for a live product, the challenge is identical.

03 /Opportunities

From a high level, there are two ideologically different ways to apply AI:

- First: help people do what they consider important.

- Second: automate what they consider unimportant – but what actually matters to everyone else.

Strangely, the second category is the more promising one. Because the things people consider important, they want to do themselves – they believe they'll do it better, and they're picky about the tools they use for it.

The things they consider unimportant, they'll happily hand off to an AI platform. And the bar for selection is much lower – they just need it to work.

So the broad opportunity here is: build AI platforms that automate the tasks people consider unimportant – but that are actually important. Portfolio creation, project documentation, developer blogs – all of these fall into that category.

Zooming in: the ability to generate compelling learner portfolios will likely become a baseline requirement for all educational platforms. And the selection criterion will shift from "how well do they teach?" to "how persuasive are the portfolios they produce?"

Because in most cases, the primary goal of education is to sell the outcome to an employer – as with NextWork. Generalizing further: founders sell outcomes to their audience (as with Waldium). Employees sell outcomes to their managers. Freelancers sell outcomes to clients.

For the last two cases, there's no clear platform solution that comes to mind right away. And there are probably even more categories beyond what's listed here – which suggests the concept still has plenty of open space in the market. Where could you apply it?