6 Best AI Marketing Tools That Will Skyrocket Your Business Growth

Paulina Lewandowska

31 Mar 2023
6 Best AI Marketing Tools That Will Skyrocket Your Business Growth

AI marketing tools have revolutionized the approach businesses take to promote their products and services. By utilizing these cutting-edge, AI-driven marketing instruments, marketers can optimize their efforts while effectively targeting potential customers. These advanced tools empower companies to study customer behavior, customize promotional campaigns, and deliver the proper message at the ideal moment to the appropriate target audience.

Our analysis will focus on the distinctive features, capabilities, and pricing structures of each tool to support your quest for a suitable choice that is both budget-friendly and aligned with your objectives. Ranging from chatbots and predictive analytics to machine learning algorithms, we will explore an array of AI tools that contribute to enhancing your marketing ROI and keeping growth.

So, if you're prepared to innovate your marketing strategies and outpace your competition, don't miss our blog post discussing part of the top AI marketing tools available. Harness the full potential of artificial intelligence today and elevate your business to unprecedented heights!

Benefits of Using AI Marketing Tools

AI marketing tools offer a multitude of advantages to businesses aiming to enhance their marketing initiatives. Some of the primary benefits are:

  • Efficiency Enhancement: AI-driven marketing tools can automate monotonous marketing activities, such as email campaigns, social media updates, and content production, allowing marketers to concentrate on other aspects like strategy and inventive content development.
  • Customization: By examining customer information and behaviors, AI marketing tools can create tailored marketing communications for each individual. This enables businesses to forge stronger connections with their customers and elevate the overall customer experience.
  • Real-time Adjustments: AI marketing tools are capable of assessing customer behavior in real-time, modifying marketing messaging as needed. This results in increased conversion rates and ultimately, higher sales figures.
  • Budget-friendly: Automating various marketing responsibilities permits businesses to save both time and financial resources on recruiting extra personnel to manage their marketing campaigns.

Top AI Marketing Tools

Now, let's dive into the tools that will help you to automate your processes and make your work easier and faster!

Hyperwrite

Hyperwrite, one of the best AI marketing tools, harnesses the power of GPT-3 to deliver tailored feedback and recommendations for writer's works. With features aimed at aiding research, organization, and editing, it's a valuable asset for those striving to enhance their writing skills.

By examining the user's writing style, Hyperwrite's AI supplies customized feedback and guidance. The application offers a suite of utilities to support the writing process, including a Chrome extension compatible with multiple platforms such as Google Docs, Gmail, Outlook, LinkedIn, Medium, Notion, and Confluence. Additionally, users can generate documents directly from the Hyperwrite dashboard and utilize its plagiarism checker to guarantee original content.

Hyperwrite Key Features Boasting over 50 templates designed for various use cases like Facebook and LinkedIn posts, Hyperwrite is perfect for generating diverse content. Its "personal database" feature pairs with the Chrome extension to help tailor the AI to individual writing styles. Furthermore, it offers suggestions for shorter content forms, making it an ideal asset for social media creators.

Hyperwrite - Pricing

Featuring a free plan with 100 daily typeaheads shown, 10 paragraphs per month, and 10 rewrites per month; Hyperwrite caters to various budgets. The Premium plan for $19.99 USD monthly grants unlimited access to typeaheads, paragraphs, and rewrites per month. For enhanced AI precision and advanced suggestions, the Ultra plan begins at $44.99 USD per month with unrestricted advanced typeaheads, paragraphs and rewrites per month.

Jasper

Jasper AI, a groundbreaking artificial intelligence writing software, is among the best tools for content creators, marketers, copywriters, bloggers, and students. It enables users to generate high-quality and optimized content at incredible speed. The advanced AI technology integrated into Jasper AI allows the production of content five times faster than a traditional human copywriter, enhancing efficiency for those in need of rapid content creation.

A significant advantage of using Jasper AI is its provision of 100% original content without any plagiarism concerns. You can rely on the accuracy, quality, and uniqueness of Jasper AI-generated content. Moreover, the software offers pre-written templates in specific categories, simplifying the process of crafting customized content.

This revolutionary AI-powered software also creates SEO-friendly content optimized for search engines. The material generated by Jasper AI is not only top-notch but it also allows you tailored to capture sales and pitches effectively. Leveraging Jasper AI can propel you to the top of Google rankings, attracting vast numbers of visitors and fostering dedicated web traffic for future monetization.

Jasper AI showcases a user-friendly interface accompanied by accessible shortcut tools that contribute to its reliability and ease of use. With support for over 25 global languages, it serves those requiring multilingual content generation Jasper AI team to enable swift and efficient high-quality content creation. These templates encompass text summarizers, blog post outlines, feature-to-benefit converters, blog post conclusions, creative stories, sentence expanders, PAS frameworks, content improvers, AIDA structures, blog post topic ideas, video descriptions, and persuasive bullet points.

Jasper AI - Pricing

In terms of pricing, Jasper AI offers affordable options with two plans. The Starter plan costs $29 per month and includes 20,000 words alongside 50+ AI copywriting skills suitable for unlimited projects. This plan encompasses access to Jasper AI Bootcamp as well as auto-save and support for 25+ languages. The Premium (Boss Mode) plan, at price $59 per month provides access to all artificial intelligence-powered tools in Jasper AI, including long-form content, SEO mode, 5x faster content generation etc.

Tome.app

Developing engaging and successful presentations can be a challenging endeavor for many companies and individuals. Considering various aspects such as weaving an enthralling story and fashioning visually attractive slides adds complexity to the task. Moreover, conventional presentation software can be tedious and awkward, making it tough to produce a refined final result promptly. This is where Tome.app, one of the best AI marketing tools, steps in.

Tome.app, a is an AI-driven presentation creation tool, streamlines the process and amplifies storytelling. Utilizing a user-friendly drag-and-drop platform, users can effortlessly transform any speech into an alluring narrative. The app boasts automatic formatting features, pre-made templates, and AI-assisted slide construction, conserving time and energy for users.

Employing AI technology, Tome.app recommends design components, layouts, and images that correspond with the presentation's context. It also harnesses DALL-E, a is an AI powered-generated image creator by OpenAI, to create professional-grade images in sync with the user's message. Furthermore, the app enables live and interactive incorporation of internet-based content, simplifying the embedding process for diverse content from the web in one location. This makes it a valuable tool for content marketing.

Tome.app - Pricing

Tome.app employs a credit-based pricing method wherein each credit represents a single slide. Users have access to various credit packages that range from 50 to 1000 credits. The pricing structure is cost-effective and competitive; users pay only for what they need, rendering it an affordable and adaptable solution for businesses and individuals alike.

GrowthBar SEO

GrowthBar SEO is a powerful SEO tool that provides businesses with a comprehensive suite of features to help them optimize their search engine rankings and grow their online presence. This tool is designed to provide users with a streamlined and intuitive experience, making it easy for both beginners and experienced SEO professionals to use.

One of the standout features of GrowthBar SEO is its ability to provide users with valuable insights into their competitors' SEO strategies. With GrowthBar SEO, users can view their competitors' top organic keywords, backlinks, and traffic sources, allowing them to identify new opportunities to improve their own SEO performance.

In addition to competitor analysis, GrowthBar SEO also offers keyword research and analysis, backlink tracking, on-page SEO optimization, and website analysis tools. These features provide businesses with a holistic view of their website's SEO performance, allowing them to make data-driven decisions and take actionable steps to improve their search engine rankings.

Growthbar - Pricing

Priced at $29/month or $290/year, GrowthBar Basic is the first plan which encompasses features such as keyword research, competitor analysis, backlink insights, and on-page SEO analysis. This plan is most suitable for individuals or small businesses new to SEO who require a comprehensive toolset to get started.

The second plan, GrowthBar Pro, comes at a cost of $79/month or $790/year and incorporates all the features of the GrowthBar Basic plan along with additional features like advanced keyword research, SERP tracking, and custom reporting. This plan is tailored for advanced SEO professionals and agencies seeking more sophisticated features to bolster their campaigns.

Both plans offer a 5-day free trial to help you gauge if the tool aligns with your business needs.

Beacons

Beacons has emerged as an essential link aggregator, making it a versatile and innovative tool for content creators, social media marketing influencers, online marketers, and those aiming to manage their online presence effectively. As one of the prominent AI marketing tools, it empowers users to generate custom landing pages, displaying their social media and website links in an organized and appealing fashion. This allows followers, subscribers, and customers to locate them more easily across various platforms.

A recent notable advancement in Beacons is the expansion of its mobile website builder now incorporating monetization through Beacons blocks. This feature especially benefits content creators and influencers who wish to showcase their products and services more effectively. For example, users can integrate a TikTok shopping block to display their products, connect a TikTok reel reviewing each item, and include a "buy" button for seamless purchases directly within Beacons.

Distinct from other ai tools, Beacons' appearance is a critical aspect that differentiates it from other link aggregators. In creating entire landing pages with ease utilizing the drag-and-drop and layering capabilities of Beacons, users have the option to insert tabs and select from over 1,000 fonts. With no restriction on link quantity and nearly endless background customization options, users can achieve striking visuals by adding color gradients, GIFs, and videos.

Embedding various social media posts types like YouTube or TikTok videos, tweets from Twitter, and music on the landing page is another essential feature provided by Beacons. Users can thus present their most recent uploads intricately and attractively so that followers can effortlessly stay updated.

Beacons offers a digital store block enabling users to establish a miniature digital store directly on their landing pages. While sales made through the blocks have a 9% commission for free users' accounts, entrepreneur plan members don't pay any commission for this service.

Beacons - Pricing

Featuring three pricing plans, Beacons.ai provides options suitable for your varying needs. The Free plan is designed for those just starting out who only need a basic landing page and link addition to their social media bios. This plan offers one landing page, one link in bio, and elementary analytics. For individuals or businesses that require expanded online presence capabilities, the Pro plan costs $8/month or $96/year (saving of $24) and includes unlimited landing pages, unlimited links in bio, as well as advanced analytics.

Lastly, marketing agencies or larger businesses can opt for the Agency plan which caters to collaboration and branding needs when managing multiple clients or brands at $25/month or $300/year (saving of $60), offering all Pro plan features plus team collaboration, custom branding, and white-labeling. A 14-day free trial is available for all plans and yo can resign whenever you want.

Seventh Sense

Seventh Sense serves as a potent an AI powered a marketing tool in the realm of digital marketing, dramatically improving your email marketing campaign's efficiency. This software boasts a variety of features designed to enhance your emails' deliverability and open rates, ultimately leading to higher engagement and increased revenue for your enterprise.

A primary advantage of Seventh Sense lies in its capacity to determine the ideal moment to deliver an email to every individual recipient. The tool scrutinizes data on when each subscriber usually checks their email, allowing for personalized message delivery at the most probable time for engagement and opening. Such customization can substantially boost the likelihood of your emails being noticed and acted upon.

Moreover, Seventh Sense employs throttling to regulate email distribution, decreasing the chances of your messages being flagged as spam. Instead of dispatching thousands of emails simultaneously, the software staggers delivery over several hours, enhancing your email's probability of landing in the recipient's primary inbox.

Seventh Sense also excels in its comprehensive automation capabilities. Adopting a "hands-off" approach, the tool allows if you want to concentrate on other facets of your digital marketing strategy while it autonomously sends out emails at the perfect times. Nevertheless, you maintain the ability to intervene and adjust automation as needed, enabling quick corrections or campaign updates on the go.

Seventh Sense - Pricing

It's crucial to bear in mind that The Seventh Sense enables you to integrate with the HubSpot CRM, and its cost depends on the number of contacts in your HubSpot CRM. With pricing plans starting at the Starter level, this plan is tailored for businesses with up to 1,000 contacts and costs $50 per month. It grants access to the Seventh Sense platform, email open rate enhancement, and click-through rate optimization. For businesses hosting up to 10,000 HubSpot CRM contacts, the Growth plan costs $150 per month and delivers all features of the Starter plan plus A/B testing, email send-time improvement, and send-time heatmaps.

If your business has up to 50,000 contacts, the Pro plan is available at $400 per month, featuring all attributes of the Growth plan along with advanced analytics, email domain reputation tracking, and send-time prediction. Designed for businesses exceeding 50,000 contacts, Enterprise plan pricing is personalized based on individual needs and encompasses all facets of the Pro plan in addition to dedicated support and onboarding. Remember that these fees complement your existing HubSpot subscription. Also, it enables you a 14-day free trial opportunity for you to sample the tool before investing in a paid program.

How to effectively incorporate AI marketing tools into your strategy

Seamlessly integrating the best AI marketing tools into your content marketing strategy may appear challenging, but with these guidelines, you can efficiently utilize these tools and reach your desired outcomes:

  • Determine your marketing objectives: Before implementing anything, it's crucial to establish your marketing targets. What do you want to accomplish through your marketing campaigns? Is it growing website traffic, generating more leads, or enhancing customer interaction? Once you've defined your objectives, selecting the appropriate tools to help reach those goals becomes easier.
  • Select suitable AI tool: Numerous AI marketing solutions exist, but not all might be right for your business. Identify those that correspond with your marketing objectives and are user-friendly. Opt for AI marketing tools that can easily integrate with your existing marketing software, simplifying your workflow.
  • Educate your staff: The effectiveness of a concrete tool depends on the users' proficiency. Ensure that your team is well-versed in utilizing these tools and understands their role in achieving marketing objectives. Equip them with necessary resources and support for maximizing the benefits.
  • Review and evaluate outcomes: Leveraging AI marketing tools can offer invaluable insights into the effectiveness of your content marketing strategies. Regularly monitor results and make adjustments as required to optimize your approach. Utilize data, provided by the tool you use, for well-informed decision-making and the continuous improvement of your strategies.

Embracing these guidelines allows you to successfully implement the best solution for your content marketing strategy and reach desired goals.

Conclusion

In conclusion, the use of an ai marketing tool can significantly enhance a business's marketing efforts by providing increased efficiency, personalization, real-time optimization, and cost-effectiveness. These tools can automate repetitive marketing tasks, generate personalized marketing messages based on customer data, analyze customer behavior in real-time, and ultimately lead to more sales. Some AI marketing tools offer unique features such as AI-powered writing and SEO-friendly content generation, making it easier for businesses to create high-quality content quickly and efficiently. By implementing these tools into their marketing strategy, businesses can improve their ROI and stay ahead of the competition.

Also, if you want to know 7 best ai tools for your everyday use, be sure to check it out!

Tagi

Most viewed


Never miss a story

Stay updated about Nextrope news as it happens.

You are subscribed

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

The Ultimate Web3 Backend Guide: Supercharge dApps with APIs

Tomasz Dybowski

04 Mar 2025
The Ultimate Web3 Backend Guide: Supercharge dApps with APIs

Introduction

Web3 backend development is essential for building scalable, efficient and decentralized applications (dApps) on EVM-compatible blockchains like Ethereum, Polygon, and Base. A robust Web3 backend enables off-chain computations, efficient data management and better security, ensuring seamless interaction between smart contracts, databases and frontend applications.

Unlike traditional Web2 applications that rely entirely on centralized servers, Web3 applications aim to minimize reliance on centralized entities. However, full decentralization isn't always possible or practical, especially when it comes to high-performance requirements, user authentication or storing large datasets. A well-structured backend in Web3 ensures that these limitations are addressed, allowing for a seamless user experience while maintaining decentralization where it matters most.

Furthermore, dApps require efficient backend solutions to handle real-time data processing, reduce latency, and provide smooth user interactions. Without a well-integrated backend, users may experience delays in transactions, inconsistencies in data retrieval, and inefficiencies in accessing decentralized services. Consequently, Web3 backend development is a crucial component in ensuring a balance between decentralization, security, and functionality.

This article explores:

  • When and why Web3 dApps need a backend
  • Why not all applications should be fully on-chain
  • Architecture examples of hybrid dApps
  • A comparison between APIs and blockchain-based logic

This post kicks off a Web3 backend development series, where we focus on the technical aspects of implementing Web3 backend solutions for decentralized applications.

Why Do Some Web3 Projects Need a Backend?

Web3 applications seek to achieve decentralization, but real-world constraints often necessitate hybrid architectures that include both on-chain and off-chain components. While decentralized smart contracts provide trustless execution, they come with significant limitations, such as high gas fees, slow transaction finality, and the inability to store large amounts of data. A backend helps address these challenges by handling logic and data management more efficiently while still ensuring that core transactions remain secure and verifiable on-chain.

Moreover, Web3 applications must consider user experience. Fully decentralized applications often struggle with slow transaction speeds, which can negatively impact usability. A hybrid backend allows for pre-processing operations off-chain while committing final results to the blockchain. This ensures that users experience fast and responsive interactions without compromising security and transparency.

While decentralization is a core principle of blockchain technology, many dApps still rely on a Web2-style backend for practical reasons:

1. Performance & Scalability in Web3 Backend Development

  • Smart contracts are expensive to execute and require gas fees for every interaction.
  • Offloading non-essential computations to a backend reduces costs and improves performance.
  • Caching and load balancing mechanisms in traditional backends ensure smooth dApp performance and improve response times for dApp users.
  • Event-driven architectures using tools like Redis or Kafka can help manage asynchronous data processing efficiently.

2. Web3 APIs for Data Storage and Off-Chain Access

  • Storing large amounts of data on-chain is impractical due to high costs.
  • APIs allow dApps to store & fetch off-chain data (e.g. user profiles, transaction history).
  • Decentralized storage solutions like IPFS, Arweave and Filecoin can be used for storing immutable data (e.g. NFT metadata), but a Web2 backend helps with indexing and querying structured data efficiently.

3. Advanced Logic & Data Aggregation in Web3 Backend

  • Some dApps need complex business logic that is inefficient or impossible to implement in a smart contract.
  • Backend APIs allow for data aggregation from multiple sources, including oracles (e.g. Chainlink) and off-chain databases.
  • Middleware solutions like The Graph help in indexing blockchain data efficiently, reducing the need for on-chain computation.

4. User Authentication & Role Management in Web3 dApps

  • Many applications require user logins, permissions or KYC compliance.
  • Blockchain does not natively support session-based authentication, requiring a backend for handling this logic.
  • Tools like Firebase Auth, Auth0 or Web3Auth can be used to integrate seamless authentication for Web3 applications.

5. Cost Optimization with Web3 APIs

  • Every change in a smart contract requires a new audit, costing tens of thousands of dollars.
  • By handling logic off-chain where possible, projects can minimize expensive redeployments.
  • Using layer 2 solutions like Optimism, Arbitrum and zkSync can significantly reduce gas costs.

Web3 Backend Development: Tools and Technologies

A modern Web3 backend integrates multiple tools to handle smart contract interactions, data storage, and security. Understanding these tools is crucial to developing a scalable and efficient backend for dApps. Without the right stack, developers may face inefficiencies, security risks, and scaling challenges that limit the adoption of their Web3 applications.

Unlike traditional backend development, Web3 requires additional considerations, such as decentralized authentication, smart contract integration, and secure data management across both on-chain and off-chain environments.

Here’s an overview of the essential Web3 backend tech stack:

1. API Development for Web3 Backend Services

  • Node.js is the go-to backend runtime good for Web3 applications due to its asynchronous event-driven architecture.
  • NestJS is a framework built on top of Node.js, providing modular architecture and TypeScript support for structured backend development.

2. Smart Contract Interaction Libraries for Web3 Backend

  • Ethers.js and Web3.js are TypeScript/JavaScript libraries used for interacting with Ethereum-compatible blockchains.

3. Database Solutions for Web3 Backend

  • PostgreSQL: Structured database used for storing off-chain transactional data.
  • MongoDB: NoSQL database for flexible schema data storage.
  • Firebase: A set of tools used, among other things, for user authentication.
  • The Graph: Decentralized indexing protocol used to query blockchain data efficiently.

4. Cloud Services and Hosting for Web3 APIs

When It Doesn't Make Sense to Go Fully On-Chain

Decentralization is valuable, but it comes at a cost. Fully on-chain applications suffer from performance limitations, high costs and slow execution speeds. For many use cases, a hybrid Web3 architecture that utilizes a mix of blockchain-based and off-chain components provides a more scalable and cost-effective solution.

In some cases, forcing full decentralization is unnecessary and inefficient. A hybrid Web3 architecture balances decentralization and practicality by allowing non-essential logic and data storage to be handled off-chain while maintaining trustless and verifiable interactions on-chain.

The key challenge when designing a hybrid Web3 backend is ensuring that off-chain computations remain auditable and transparent. This can be achieved through cryptographic proofs, hash commitments and off-chain data attestations that anchor trust into the blockchain while improving efficiency.

For example, Optimistic Rollups and ZK-Rollups allow computations to happen off-chain while only submitting finalized data to Ethereum, reducing fees and increasing throughput. Similarly, state channels enable fast, low-cost transactions that only require occasional settlement on-chain.

A well-balanced Web3 backend architecture ensures that critical dApp functionalities remain decentralized while offloading resource-intensive tasks to off-chain systems. This makes applications cheaper, faster and more user-friendly while still adhering to blockchain's principles of transparency and security.

Example: NFT-based Game with Off-Chain Logic

Imagine a Web3 game where users buy, trade and battle NFT-based characters. While asset ownership should be on-chain, other elements like:

  • Game logic (e.g., matchmaking, leaderboard calculations)
  • User profiles & stats
  • Off-chain notifications

can be handled off-chain to improve speed and cost-effectiveness.

Architecture Diagram

Below is an example diagram showing how a hybrid Web3 application splits responsibilities between backend and blockchain components.

Hybrid Web3 Architecture

Comparing Web3 Backend APIs vs. Blockchain-Based Logic

FeatureWeb3 Backend (API)Blockchain (Smart Contracts)
Change ManagementCan be updated easilyEvery change requires a new contract deployment
CostTraditional hosting feesHigh gas fees + costly audits
Data StorageCan store large datasetsLimited and expensive storage
SecuritySecure but relies on centralized infrastructureFully decentralized & trustless
PerformanceFast response timesLimited by blockchain throughput

Reducing Web3 Costs with AI Smart Contract Audit

One of the biggest pain points in Web3 development is the cost of smart contract audits. Each change to the contract code requires a new audit, often costing tens of thousands of dollars.

To address this issue, Nextrope is developing an AI-powered smart contract auditing tool, which:

  • Reduces audit costs by automating code analysis.
  • Speeds up development cycles by catching vulnerabilities early.
  • Improves security by providing quick feedback.

This AI-powered solution will be a game-changer for the industry, making smart contract development more cost-effective and accessible.

Conclusion

Web3 backend development plays a crucial role in scalable and efficient dApps. While full decentralization is ideal in some cases, many projects benefit from a hybrid architecture, where off-chain components optimize performance, reduce costs and improve user experience.

In future posts in this Web3 backend series, we’ll explore specific implementation details, including:

  • How to design a Web3 API for dApps
  • Best practices for integrating backend services
  • Security challenges and solutions

Stay tuned for the next article in this series!