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Startup: what is it and how does no-code boost these companies?

commercial startup 1

Estimated reading time: 8 minutes

Have you ever wondered what defines a startup? Are you curious to know how this type of company works? Have you ever stopped to think that the programming in code can positively impact this business model? 

The startups are the talk of the town. However, even with the popularization of the term, understanding is not always clear. It is still common to restrict the concept only to modern offices, with innovative ideas. But what really is a startup? 

The same is true for the no-code. The approach is gaining more and more space in the world of programming and in the corporate world, but Does everyone understand what it means in practice?

These and other questions will be answered throughout this content, which will show how the two subjects are related and can bring many benefits to business. So, if you are interested and want to know more about startups and understand how no-code can boost these companies, you are in the right place. 

Good reading! 

What is a startup?

The term “startup” means “emerging company”, in a literal translation, and became popular during the internet bubble, between 1996 and 2001. At first, it was associated with the idea of young people working in garages. The emergence of Apple and Microsoft exemplify this imaginary well. 

However, the concept has evolved. Today, it represents innovative companies with low costs and ability to grow quickly. startups's mission is to create products or services that make a significant impact on the market. Among the most famous in the world are:

  • Uber;
  • Netflix;
  • Airbnb;
  • Tesla;
  • SpaceX;
  • Stripe;
  • Zoom.

These companies represent dynamism and innovation associated with the term “startup”. The concept went beyond the initial idea of young people working in garages and began to encompass revolutionary businesses in various sectors

Entrepreneurship and the ability to adapt to new market demands are essential characteristics of this business model.

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Startup: what is it and how does no-code drive these companies? 2

What are the characteristics of a startup?

Have you already understood the concept of a startup, but are still unsure about the characteristics of the business model? Rest assured! Let's delve deeper into each of them below. Continue reading! 

Innovative in solutions

When we talk about startups, the first feature that comes to mind is innovation. Indeed, this type of company always looks for new ways to solve problems and meet market demands. To have agility in creating innovative solutions is essential

Uber, for example, innovated by transforming the way people get around, creating a transportation service connected to smartphones. The innovation was so impactful that it created a new form of urban mobility. 

It is a scalable business

THE Scalability is a core feature of startups, which seek significant growth, with minimal resources. The objective is to efficiently reach a large number of users.

Dropbox is a platform that started as a small startup, offering cloud storage services. The scalability of the business has allowed the tool to become essential for many users around the world. 

Repeatable and with quality standards

To be able to scale the business it is necessary have repeatable solutions. In practice, this means delivering consistent products or services, maintaining a high standard of quality even on a large scale.

Netflix, for example, has established a repeatable business model, offering high-quality streaming content on a global scale. Even though it is available in most countries, the platform's standard remains consistent. 

Employ dynamic teams

Having dynamic teams is another fundamental aspect of startups, which depends on multidisciplinary professionals, capable of adapting quickly to changes and uncertainties in the business model. Ter agility and flexibility are mandatory requirements

O Airbnb is a startup that quickly adapted to the changes observed in the tourism and hospitality market, expanding its offer to meet users' needs. The ability to adapt quickly is made possible by dynamic and agile teams.

It has risks

If you are thinking about starting a startup, you need to know that there is a risk that it will not work out. This is because the process of transforming innovative ideas into successful products or services involves uncertainty and the possibility of failure. Therefore, effective and detailed planning is essential.

What are the types of startups?

Now that you understand exactly the concept and main characteristics of the startups, let's look at the most common types that exist. 

Small business startup

Small business startups they are small businesses, often aimed at a local audience. They are generally founded by beginning entrepreneurs or people looking for more specific businesses. 

Shall we look at a practical example? Imagine a small bakery on the corner of your house… 

It could be a simple local store, but they use no-code tools to create a delivery app, making it easier for customers to access products. Innovation makes it a small business startup

Large company startup

On the other hand, the large company startups arise when Large, established companies seek more dynamic and innovative business models to remain competitive in the market. 

A good example of this type of startup is Google X, research laboratory of Alphabet, (parent company of Google). Despite being part of a large technology company, the Google X operates independently, focusing on innovative and ambitious projects. 

Buyable startup

Already the buyable startups are those companies created with the aim of being sold. They generally arise from a promising idea or attractive prototype for investors. 

Instagram is an example. Initially launched as an independent photo-sharing platform, it quickly caught the attention of Facebook. Until, in 2012, it was purchased for US$ 1 billion. 

Startup lifestyle

These are companies whose objective is generate knowledge about a given subject, with a specific purpose. Educational startups fall into the category.

O Headspace, an app that offers guided meditation services and mindfulness, it is an example. 

social startup

To conclude, the social startups they are focused on social actions and seek to transform local reality or contribute to positive changes in the world. In this way, they have a clear social mission in their approach. 

TOMS, a shoe store, is a social startup. Although it has grown, the company began as a startup with a clear social mission: for every pair of shoes sold, another would be donated to a child in need. 

How does codeless programming drive startups?

THE popularization of no-code platforms has driven many startups. Through them, it is possible for programmers and people without advanced programming knowledge to easily create products and services, such as:

  • Software;
  • Applications; 
  • Games;
  • Websites.

no-code development is done through visual interfaces and configurations, minimizing or eliminating the need to write extensive code snippets. 

In practice, the low-code platforms and no-code allow the development of digital products with faster and less involvement of IT teams

Some of the benefits of employing the no-code in startups are:

  • Agility in development;
  • Reduced dependence on IT; 
  • Reduced development costs;
  • Fast iterations and greater flexibility;
  • Greater business autonomy;
  • Efficient prototyping and validation. 

Start programming now with no-code

Interested in learning no-code to boost your startup? You can start now with No-code Start-up!

As FlutterFlow course, you learn how to create apps for iOS and Android without the need to use code. 

If your interest is to develop softwares and web applications, do the bubble course. No prior knowledge is required and classes are also free.

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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 6

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 7

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 8

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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