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Where are the vacancies in the NoCode Market?

NoCode Market Vacancies

These days I was taking some time to respond and help some people in the NoCode StartUp open WhatsApp groups and I came across the following comment:

“I thought this no-code was interesting, but I didn’t find any vacancies, so I gave up.”

WhatsApp community member – NoCode StartUp.

Then I was intrigued by this comment, I went to LinkedIn, and did a quick search for vacancies in nocode and to my surprise:

nocode market
Where are the vacancies in the NoCode Market? 3

Oh F*****.

Vacancies on the NoCode Market

So that's it folks, in my first search I already received 0 results found straight away, but is that a reason for all of us here to give up on nocode?

In truth? MAYBE YES.

Not all of us, but if you are entering the no-code market now, with the only mindset of wanting to join a company and get a traditional job, I'm sorry, perhaps this is in fact not your time and you are not ready for this market. , at least not now.

And before I get stoned from all sides here, I explain myself:

Firstly, of course, if you now go to LinkedIn and search for developer vacancies Bubble, FlutterFlow, you will find some vacancies, especially if you know how to speak English, as we have more opportunities abroad in the country.

And also the largest number of opportunities for vacancies in companies are in nocode groups, communities, networking, etc…

However, I didn't come here to talk about how to find nocode vacancies out there, that's not the purpose of this video.

Product Adoption Curve

Here, I want to talk about where the nocode market is right now and why people who are looking for a traditional nocode job can still be frustrated if they enter the market with just that mindset.

And for that, I want to present to you a concept widely used to understand market moments and product life cycles, called:

Product Adoption Curve created by Everett M. Rogers Ex-Pprofessor at Stanford University.

This curve illustrates all phases of the evolution of products and markets, and it consists of the following phases:

On the horizontal “x” axis, we have time and on the “y” axis we have the volume of adoption of this product by people.

nocode Product Adoption Curve
Where are the vacancies in the NoCode Market? 4

Being made up of some phases in which each one has a consumer profile:

Phase 1: Enthusiasts

The first phase is the enthusiast phase, they are the first people to use the product, they are curious consumers.

Phase 2: Visionaries

In the second phase we have the visionaries, just as enthusiasts are one of the first to use the product, but beyond curiosity they seek competitive advantages over others.

These two phases make up the “Initial Market” phase, here everything is still very new and consequently also very uncertain.

The gains from adopting a product or technology at these stages can be enormous, but they also contain risks, as the product is not yet validated.

death Valey

And that's why in the middle of this curve we have a valley, well known as the startups valley of death.

This is the moment for this product, this technology, this startup, to prove itself to the market and in fact finding what is well known in the world of Startups Product Market Fit (PMF), that is, finding the ideal product for that specific market in which it is operating. so that it can move on to the next stage and actually explode its growth.

Phase 3: Pragmatists

After this phase we have the pragmatists phase, people who take a little longer to use a product and enter when the technology is already validated and in full growth, but this is where the large amount of money lives, this is where the product actually generates cash.

Phase 3 and 5: Conservatives and Skeptics

Then we have the conservatives, people more resistant to change and finally the skeptics, people who adopt solutions only after everyone is already well adapted to that solution.

These last 3 phases make up the conventional market.

Again, this knowledge here is extremely important for all of you who work developing products and technologies. To learn how the life cycle and maturity of products works.

And what does this have to do with nocode?

The NoCode Market

When we seek to place no-code technology on this curve, in my view, no-code is well in the process of transitioning from visionaries to pragmatists, passing the valley of death.

Which means that until now and for a long time to come, no-code is something for entrepreneurs and innovators, people who are at the tip of the innovation spear, who see opportunities and have built businesses with that vision.

Who is NoCode for?

In the current scenario, no-code is for people who are not afraid to invest their time in this technology, as they truly believe that this is a huge competitive advantage over their competitors.

No-Code is for people who are creating projects and startups, entrepreneurship as freelancers and no-code agencies or intrapreneurship in innovative companies that already understand the gains that no-code generates.

On the other hand, today no-code is still not for people who are looking for a lot of vacancies in companies, it is not for people who think more about their CVs than they can actually create with their new skills.

No-code is still not the skill to learn if you just think about being an employee, basically.

Of course, we already have agencies, startups and companies hiring, but this is not yet on a large scale.

But I repeat, not yet... Let's not forget what we just learned about the adoption cycles of new technologies.

In 2022, FlutterFlow, Bubble, Xano, Webflow, Zapier, among other tools, received large amounts of investment and in 2023 it has grown exponentially.

No-code is increasingly known, entrepreneurs are already seeing no-code as the best solution for starting a business, and companies are seeing no-code as an excellent option for quick and cheap innovation.

And with this, the market becomes more and more mature and more job vacancies in small, medium and large companies appear.

Of course, at this time, competition between professionals and the level of training requirements also increase.

There is no such thing as a free lunch folks, people want to enter a new, emerging market with giant power, but they want the market to be mature with infinite vacancies at their disposal.

That's why the moment you enter a market makes all the difference.

Invitation to revolution

And here is my invitation, if you, like us here at NoCode StartUp, already understand the power that NoCode has and the size of the market that NoCode helps.

First of all, don't forget to follow NoCode StartUp on YouTube.

Second, the source of inspiration for this content here was our open groups on WhatsApp, so be sure to participate.

Third, for those of you who want to specialize and deepen your knowledge of the tools, NoCode StartUp today has the best teaching ecosystem on NoCode that you can find.

On a more personal note, it was worth the attention of everyone who stayed here and until next week!

org

Watch our Free MasterClass

Learn how to make money in the AI and NoCode market, creating AI Agents, AI Software and Applications, and AI Automations.

Neto Camarano

Neto specialized in Bubble due to the need to create technologies quickly and cheaply for his startup. Since then, he has been creating systems and automations with AI. At the Bubble Developer Summit 2023, he was listed as one of the greatest Bubble mentors in the world. In December, he was named the largest member of the global NoCode community at the NoCode Awards 2023 and first place in the best application competition organized by Bubble itself. Today, Neto focuses on creating AI Agent solutions and automations using N8N and Open AI.

Also visit our Youtube channel

Learn how to create AI Applications, Agents and Automations without having to code

More Articles from No-Code Start-Up:

Large Language Models (LLMs) have become one of the most talked-about technologies in recent years. Since the meteoric rise of ChatGPT, generative AI-based tools are being explored by entrepreneurs, freelancers, CLT professionals, and tech-curious individuals.

But why is understanding how LLMs work so important in 2025? Even if you don't know how to program, mastering this type of technology can open doors to automation, the creation of digital products, and innovative solutions in various areas.

In this article, we will explain in an accessible way the concept, operation and real applications of LLMs, focusing on those who want to use AI to generate value without relying on code.


What is an LLM

What is an LLM?

LLM stands for Large Language Model. It is a type of artificial intelligence model trained on huge volumes of textual data, capable of understanding, generating and interacting with human language in a natural way. Famous examples include:

  • GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Mistral
  • Perplexity IA

These models function as “artificial brains” capable of performing tasks such as:

  • Text generation
  • Automatic translation
  • Sentiment classification
  • Automatic summaries
  • Image generation
  • Automated service

How do LLMs work?

In simple terms, LLMs are built on Transformer neural networks. They are trained to predict the next word in a sentence, based on large contexts.

The more data and parameters (millions or billions), the more powerful and versatile the model becomes.

Read more: Transformers Explained – Hugging Face

Own LLMs vs. API usage: what do you really need?

Building your own LLM requires robust infrastructure, such as vector storage, high-performance GPUs, and data engineering. That's why most professionals opt for use ready-made LLMs via APIs, like those of OpenAI, Anthropic (Claude), Cohere or Google Gemini.

For those who don't program, tools like Make, Bubble, N8N and LangChain allow you to connect these models to workflows, databases, and visual interfaces, all without writing a line of code.

Additionally, technologies such as Weaviate and Pinecone help organize data into vector bases that improve LLM responses in projects that require memory or customization.

The secret is to combine the capabilities of LLMs with good practices in prompt design, automation and orchestration tools — something you learn step by step in AI Agent Manager Training.

Difference between LLM and Generative AI

Although they are related, not all generative AI is an LLM. Generative AI encompasses many different types of models, such as those that create images (e.g. DALL·E), sounds (e.g. OpenAI Jukebox), or code (e.g. GitHub Copilot).

LLMs are specialized in understanding and generating natural language.

For example, while DALL·E can create an image from a text command, such as “a cat surfing on Mars,” ChatGPT, an LLM — can write a story about that same scenario with coherence and creativity.

Examples of practical applications with NoCode

The real revolution in LLMs is the possibility of using them with visual tools, without the need for programming. Here are some examples:

Create a chatbot with Dify

As Dify Course, it is possible to set up an intelligent chatbot connected to an LLM for customer service or user onboarding.

Automate tasks with Make + OpenAI

Node Makeup Course You learn how to connect services like spreadsheets, email, and CRMs to an LLM, automating responses, data entry, and classifications.

Building AI Agents with N8N and OpenAI

O Agents with OpenAI Course teaches how to structure agents that make decisions based on prompts and context, without coding.

Advantages of LLMs for non-technical people

Advantages of LLMs for non-technical people

  • Access cutting-edge AI without having to code
  • Rapid testing of product ideas (MVPs)
  • Personalization of services with high perception of value
  • Optimization of internal processes with automations

LLMs and AI Agents: The Future of Interaction

The next evolutionary step is the combination of LLMs and AI agents. Agents are like “digital employees” that interpret contexts, talk to APIs and make decisions autonomously. If you want to learn how to build your agents with generative AI, the ideal path is AI Agent Manager Training.

We are living in an era where texts, images and videos can now be created by artificial intelligence. But there is one element that is gaining strength as a competitive advantage: the voice.

Whether in podcasts, institutional videos, tutorials or even automated service, the ability to create realistic artificial voice is changing how companies and creators communicate. And in this scenario, the ElevenLabs AI emerges as one of the global protagonists.

What is ElevenLabs
What is ElevenLabs AI? The AI-Powered Voice Revolution 8

What is ElevenLabs?

O ElevenLabs is one of the neural speech synthesizers most advanced on the market. With its technology AI voice cloning and AI-powered text to speech, allows you to create realistic voices in multiple languages, with natural intonation, dynamic pauses and surprising emotional nuances.

Key Features:

  • Human-quality Text to Speech
  • Conversational AI with support for interactive agents
  • Studio for longform audio editing
  • Speech to Text with high accuracy
  • Voice Cloning (Instant or Professional)
  • Sound Effects Generation (Text to Sound Effects)
  • Voice Design and Noise Isolation
  • Voice Library
  • Automatic dubbing in 29 languages
  • Robust API for automations with tools like N8N, Make, Zapier and custom integrations
ElevenLabs FAQ
What is ElevenLabs AI? The AI-Powered Voice Revolution 9

ElevenLabs FAQ

Find out more about the company and news from ElevenLabs directly at official website of ElevenLabs and see the API documentation.

Does ElevenLabs have an API?

Yes, ElevenLabs has a complete API that allows you to integrate speech generation with automated workflows.

With this, it is possible to create applications, service bots, or content tools with automated audio.

Discover the Make Course from NoCode Start Up to learn how to connect the ElevenLabs API with other tools.

Are ElevenLabs voices copyright free?

AI-generated voices can be used commercially, as long as you respect the platform's Terms of Use and do not violate third-party rights by cloning real voices without authorization.

Is it possible to use ElevenLabs for free?

Yes. ElevenLabs offers a free plan with 10,000 credits per month, which can be used to generate up to 10 minutes of premium quality audio or 15 minutes of conversation

This plan includes access to features like Text to Speech, Speech to Text, Studio, Automated Dubbing, API, and even Conversational AI with interactive agents.

Ideal for those who want to test the platform before investing in paid plans.

What is the best alternative to ElevenLabs?

Other options include Descript, Murf.ai and Play.ht. However, ElevenLabs has stood out for its natural voice, advanced audio editing features with AI, API integration and support for multiple languages.

Their paid plans start from US$ 5/month (Starter) with 30 thousand monthly credits, and go up to scalable corporate versions with multiple users and millions of credits.

See all available plans on the ElevenLabs website. However, ElevenLabs has stood out for the naturalness of its voice and the quality of its API.

How does ElevenLabs work?

You submit a text, choose a voice (or clone one), and AI converts that text into realistic audio in seconds. It can be used via the web dashboard or via API for automated workflows.

Examples of using ElevenLabs AI in practice

1. Video and podcast narration

Ideal for creators who want to save time or avoid the costs of professional voiceovers.

2. Automated service with human voice

Turn cold bots into realistic, empathetic voice assistants.

3. Generating tutorials and training with audio

Companies and CLT professionals can create more engaging internal materials.

4. Applications that “talk” to the user

With tools like Bubble, FlutterFlow or WebWeb, it is possible to integrate AI voice into apps.

How to integrate ElevenLabs with NoCode tools

NoCode tools
What is ElevenLabs AI? The AI-Powered Voice Revolution 10

N8N + ElevenLabs API

Allows you to automate voice generation based on dynamic data using visual workflows in N8N. It is ideal for creating processes such as audio customer service responses, automated voice updates, and more.

Discover the N8N Course from NoCode Start Up

OpenAI Agents + ElevenLabs

With the use of AI agents, it is possible to create voice-responsive systems, such as a virtual attendant that speaks to the customer based on a dynamic prompt.

See the Agents with OpenAI Course

Bubble/FlutterFlow + ElevenLabs

Use the API to insert audio into your apps with interaction triggers or dynamic events.

ElevenLabs and NoCode: Open the door to creating experiences with voice AI

AI-generated voice is already a powerful, accessible and potential-rich reality. ElevenLabs is not just a tool, but an engine for creating immersive, automated and more human experiences.

If you want to learn how to integrate these possibilities with NoCode and AI tools, NoCode Start Up has the ideal paths:

The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

NoCode AI Manager Course: What it is, Who it is for and What its Objectives are

THE AI Agent Manager Training It is aimed at anyone who wants to enter the field of artificial intelligence in a practical way, without needing to know how to program.

The main objective is to train professionals capable of delivering automation and real solutions for companies using NoCode tools.

It is ideal for both those who want to offer services and those who want to open their own AI agency.

The training proposal is clear: enable you to bill more than R$14,000 per month working with intelligent solutions — a market that is only growing.

Access the training here

What is Included in the AI Agent Manager Course?

The training is structured in complete knowledge trails, with content organized by theme and level of mastery:

Topics covered:

  • Fundamentals from Zero to Advanced
  • Mastering Automations with AI
  • Creating and Selling AI Agents to Companies
  • Applied Prompt Engineering
  • Using NoCode tools like n8n, Dify, Make, OpenAI and more
  • Integration with WhatsApp, CRMs and payment gateways
  • Ready-to-clone and apply templates

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
  • Access to exclusive community, active and with direct support from instructors;
  • 1 year full access, including the Make paid plan;
  • NoCode Match, a hub of real opportunities in the AI and automation market.

Differences between AI Manager Training and Other Courses

Unlike many generic courses, this training was designed as a complete ecosystem of learning and practical application, with total focus on generating results for the student.

  • 100% classes structured, edited and with step-by-step teaching methods
  • Mentors present, community engaged
  • Trail with beginning, middle and end, organized with teaching methodology
  • Real opportunities and networking with companies and devs
  • Masterclasses with experts who already apply AI in agencies and companies

Take advantage of the offer

What is the cost of the AI Manager Course and Access Conditions?

The promotional value of the training is R$ 1,497 in cash or in up to 12 installments of R$ 157.53 on the credit card.

  • Full access for 12 months
  • 7-day money-back guarantee
  • Updates included at no additional cost

FAQ: Main Questions About the AI Manager Course

Do you need prior knowledge?
No. All content is designed for absolute beginners in AI and NoCode.

How long do I have access?
You will have 1 year of access complete to the platform and updates.

Can I ask for a refund if I don't like it?
Yes. You have 7 days warranty to test and cancel without bureaucracy.

I'm a PRO student. Do I already have access?
Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

What are the extra costs for tools?
The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

How long will it take for me to see results?
In the first few days, you can create and test your first AI agent.

What do I get when I purchase?
Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

To become an AI manager, the ideal is to start with training that combines practice and theory in an accessible way.

The NoCodeStartUp course focuses exactly on that, teaching how to create automations with AI without requiring prior programming knowledge.

You'll learn everything from the fundamentals to delivering real solutions using platforms like n8n, Make, Dify, Zapier, and OpenAI.

How Much Does an AI Manager Earn?

According to the market itself and reports from students, an AI manager can earn above R$10 thousand per month, working with consultancies, creating personalized agents or recurring services via intelligent automation.

Which Course Should I Take to Work with AI?

If you are looking for a practical, up-to-date course, with a strong connection to the market and no programming requirements, AI Agent Manager Training is one of the most complete currently.

It combines technical content with real-world application so you can start working quickly.

Invest in Yourself: Become a Professional AI Manager

If you are looking for a way to stand out in the digital market, enter the technology area without having to program and act with something that is growing rapidly, this course is a smart shortcut.

The AI Agent Manager Training provides a clear path, real support and applicable tools for you to work with AI in a professional manner.

It is applied learning with a total focus on solving real problems using artificial intelligence.

Access the AI Manager training now and start building a new future with AI.

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