n8n

n8n

Open-source, node-based workflow automation platform

Overview

n8n is an open-source workflow automation platform with a visual, node-based editor for building multi-step automations. It runs on Node.js and supports triggers and actions (webhooks, API calls, database queries, logic, loops, notifications) plus optional custom JavaScript or Python code. It offers self-hosted and cloud options, a fair-code license, 400+ native integrations, templates, and developer tools like version-controlled JSON exports and Git-based pipelines, plus native AI integrations (OpenAI, LangChain, Claude, Hugging Face). Its goal is to give teams flexible, controllable automation with data ownership and customizable AI-powered workflows.

About n8n

Simplify's Rating
Why n8n is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

1,001-5,000

Company Stage

Series C

Total Funding

$254M

Headquarters

Berlin, Germany

Founded

2019

People at n8n

People at n8n who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Vodafone saved £2.2M annually processing billions of security events with self-hosted n8n.
  • Over 35% of Fortune 500 companies adopted n8n following SAP’s $5.2B investment in 2026.
  • UK team tripling in 2026 supports 200 new hires by 2029 at Europe’s fastest-growing automation startup.

What critics are saying

  • SAP mandates German enterprises replace non-SAP tools with SAP Build, threatening n8n’s $40M revenue base.
  • CVE-2026-27493 RCE remains unpatched in 12% of self-hosted deployments, risking credential theft.
  • Zapier’s Agent Suite with 3,000+ integrations displaces technical teams due to simpler setup and no self-hosting.

What makes n8n unique

  • Open-source fair-code model enables self-hosted data sovereignty for compliant enterprises.
  • Node-based visual builder with 400+ native integrations and 600+ community nodes.
  • AI-first architecture with native LangChain, tool calling, and $fromAI contextual automation.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$254M

Above

Industry Average

Funded Over

4 Rounds

Notable Investors:
Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Above Average

Industry standards

$50M
$50M
Medium
$62M
SeatGeek
$100M
Oura
$180M
n8n

Benefits

Health Insurance

Competitive compensation

Ownership

Work/life balance

Career growth

Remote Work Options

Transparency

Giving back

Ambitious but kind culture

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-5%
Synta
Jul 2nd, 2026
n8n vs Kestra: which automation tool fits your workflow?

n8n vs Kestra: which automation tool fits your workflow? Quick summary. * - n8n fits app-heavy business workflows that need visible branching and fast iteration. * - Kestra fits code-defined orchestration, scheduled technical pipelines, and platform-owned jobs. * - Synta helps n8n builders turn a workflow goal into node structure, guardrails, and review paths. n8n and Kestra both help teams automate work, but they are built for different operating styles. n8n is strongest when a builder wants to connect apps, branch business logic, and ship automations quickly. Kestra is strongest when an engineering team wants code-defined orchestration, scheduled pipelines, and versioned workflows that look more like infrastructure. The practical choice depends less on which tool is more powerful and more on who owns the workflow after it goes live. If operations, growth, support, or an automation consultant needs to inspect and adjust the flow, n8n usually fits better. If platform engineering owns the job as a code-managed pipeline, Kestra starts to make more sense. Quick answer. Choose n8n when the workflow is app-heavy, business-facing, and likely to change as the process changes. Choose Kestra when the workflow is a technical pipeline with strong scheduling, deployment, and orchestration requirements. For Synta users, the n8n side is the relevant lane. Synta helps turn a plain-language automation goal into an n8n workflow shape with the right nodes, branches, credentials, and guardrails. It is not trying to replace a platform orchestrator. It helps n8n builders move faster without losing control. Where n8n fits best. n8n is a workflow automation tool for connecting services and moving data through visible steps. The canvas matters because teams can see what happens: trigger, transform, branch, call an API, update a CRM, send Slack, write to a sheet, and route exceptions. That visibility is useful for business automations. A missed-call recovery flow, quote follow-up sequence, inbound lead enrichment job, invoice routing workflow, or support triage process changes often. Someone needs to open the workflow, understand the branch, and adjust it without treating every change like a deployment. Best for app integrations, API glue, and operational workflows. Best when non-platform stakeholders need to inspect or discuss the workflow. Best when the workflow combines credentials, conditional logic, and manual review points. Best when a consultant or ops builder needs to ship client-facing automation quickly. Where Kestra fits best. Kestra is closer to an orchestration platform. Its strength is defining workflows as code, scheduling and running jobs, coordinating technical tasks, and giving engineering teams a durable way to manage pipelines. That makes it attractive when the workflow is infrastructure-like rather than business-process-like. A data platform team may prefer Kestra for scheduled ETL jobs, batch processes, long-running backend operations, or workflows that should live in version control with the rest of the stack. The tradeoff is that the operating model is more developer and platform oriented. Best for code-defined workflows and infrastructure-style orchestration. Best when version control, deployment discipline, and scheduled execution are central. Best when platform engineering, not operations, owns the workflow lifecycle. Best when the workflow is a pipeline more than a business automation canvas. The ownership test. The simplest way to choose is to ask who will own the workflow three months after launch. If the owner is an operations lead, growth operator, automation consultant, founder, or support manager, n8n is usually the better default. The workflow needs to be visible, editable, and close to the business process. If the owner is a platform team that already manages jobs through code review, environments, and deployment pipelines, Kestra may be the cleaner fit. In that case, the workflow is probably part of the technical substrate rather than the business operating layer. The integration test. n8n shines when the automation talks to many external tools. Gmail, Slack, HubSpot, Salesforce, Google Sheets, Postgres, webhooks, HTTP APIs, Airtable, Notion, and custom services can all sit in one visible flow. The value is not just running tasks. It is making the business logic explicit. Kestra can integrate with systems too, but its advantage is less about a visual catalog of app nodes and more about orchestrating technical work reliably. If most of the job is connecting business apps and shaping data between them, n8n usually feels more direct. The debugging test. In n8n, debugging often means opening an execution, inspecting item data at each node, and checking where the branch or credential failed. That is useful when a workflow handles messy real-world business inputs: partial forms, bad emails, missing CRM fields, inconsistent CSVs, or webhook payloads that change without warning. In Kestra, debugging fits a more engineering-oriented mental model. Logs, task runs, schedules, and definitions are central. That is good for teams already comfortable with pipeline operations, but it can be heavier for business teams trying to understand why one customer workflow stopped sending a follow-up. What about AI workflows? For AI workflows, n8n is often easier to apply close to the customer process. You can receive a lead, enrich it, call an LLM, validate the output, branch on confidence, ask for human review, then update the CRM. That is exactly the kind of workflow where Synta can help draft a useful first version. Kestra can orchestrate AI-related jobs too, especially if they are backend pipelines. But if the AI workflow is embedded in sales, support, hiring, reporting, or operations, n8n's app canvas and branching model are usually easier to iterate. Pricing and team fit. The pricing comparison changes over time, so do not pick based on a stale line item. Compare the real owner cost: setup time, hosting, maintenance, debugging, permission management, and how often the workflow will change. A tool that is cheaper on paper can cost more if every edit requires the wrong person. For consultants, n8n is usually easier to productize because the client can see and approve the automation shape. For internal platform teams, Kestra can be easier to standardize because workflows can be treated like technical assets. Decision matrix. Choose n8n for app-heavy workflows, fast iteration, visible business logic, and ops-owned automations. Choose Kestra for code-defined orchestration, scheduled technical pipelines, and platform-owned workflows. Choose n8n when the workflow includes human review, CRM updates, support triage, or messy third-party payloads. Choose Kestra when the workflow should be managed through engineering deployment habits. Choose Synta with n8n when you know the automation goal but want help shaping the node graph, branches, and guardrails. Where Synta fits. Synta is built for the n8n side of this comparison. It helps people who chose n8n because they want control, but do not want to spend an afternoon remembering which node option, credential pattern, or branch structure fits the job. Describe the workflow in plain language: the trigger, the apps involved, the happy path, the failure path, and what should never happen automatically. Synta can help turn that into an n8n workflow plan with the right shape before you start wiring every node by hand. Try the Synta MCP workflow builder. If you are choosing n8n because your automation lives close to real business operations, use the tracked Synta MCP path here: open Synta MCP. Describe the process, the apps, and the failure cases you need the workflow to handle. Faq. Is Kestra better than n8n? Not universally. Kestra is better for code-defined orchestration and technical pipelines. n8n is better for visible app automation and business workflows that need fast iteration. Is n8n only for non-developers? No. n8n is popular with technical operators and developers because it gives control without forcing every workflow into a full code project. Can n8n handle production workflows? Yes, if the workflow is designed with clear credentials, error handling, retry paths, and monitoring. The weak point is usually workflow design, not the existence of a visual canvas. Should I migrate from Kestra to n8n? Only if the workflow is really an app automation or business process that needs visible iteration. If it is a stable technical pipeline owned by engineering, Kestra may remain the better home.

Metodigit Academy
Jun 25th, 2026
N8N Automation for Shopify Stores: Streamlining E

N8N automation for Shopify stores: streamlining E. By Fidha / June 25, 2026 Running a successful Shopify store involves managing multiple tasks every day, from processing orders and updating inventory to engaging customers and monitoring sales performance. As your business grows, handling these activities manually becomes time-consuming and increases the risk of errors. This is where N8N automation can make a significant difference. N8N is a powerful open-source workflow automation platform that allows businesses to connect applications, automate repetitive tasks, and create customized workflows without extensive coding knowledge. For Shopify store owners, N8N provides a flexible and cost-effective way to improve efficiency, reduce manual work, and enhance customer experiences. What is N8N automation? N8N is a workflow automation tool that connects different applications, services, and databases through automated workflows. It enables businesses to create automated processes using visual workflow builders and hundreds of integrations. Unlike many traditional automation platforms, N8N offers greater flexibility through self-hosting options, custom workflows, and advanced automation capabilities. This makes it particularly attractive for e-commerce businesses that need tailored solutions. Benefits of using N8N for Shopify stores. Shopify store owners can benefit from N8N automation in several ways: Time savings. Automating repetitive tasks reduces manual workload and allows teams to focus on strategic business growth. Improved accuracy. Automation minimizes human errors in order processing, inventory management, and customer communications. Better customer experience. Customers receive faster responses, timely updates, and personalized interactions through automated workflows. Cost efficiency. N8N offers a budget-friendly alternative to many premium automation platforms, especially for growing businesses. Scalability. As order volume increases, automated workflows can handle larger workloads without requiring additional staff. How N8N integrates with Shopify. N8N connects directly with Shopify using API integrations and dedicated Shopify nodes. These nodes allow workflows to interact with store data, including: * Orders * Products * Customers * Inventory * Payments * Shipping information Store owners can create automated workflows that trigger actions whenever specific events occur in Shopify. For example, when a new order is placed, N8N can automatically: * Send confirmation emails * Update inventory records * Notify fulfillment teams * Generate invoices * Sync data with accounting software Automating order management with N8N. Order management is one of the most valuable areas for automation. Automated order confirmations. When customers place an order, N8N can instantly trigger confirmation emails containing purchase details and estimated delivery information. Fulfillment and Shipping notifications. Once an order is shipped, automated notifications can be sent to customers with tracking information and delivery updates. Managing order status updates. N8N workflows can synchronize order statuses across multiple systems, ensuring accurate information for both customers and staff. Refund and cancellation automation. When refunds or cancellations occur, N8N can automatically update records, notify customers, and adjust inventory levels. Inventory management. Automated inventory tracking helps prevent overselling and stock shortages by updating product quantities in real time. Enhancing customer engagement with N8N. Customer retention is essential for long-term e-commerce success. N8N helps automate customer engagement processes that improve satisfaction and loyalty. Email marketing automation. N8N can connect Shopify with email marketing platforms to automate campaigns based on customer behavior. Examples include: * Welcome emails * Post-purchase follow-ups * Product recommendations * Promotional campaigns Abandoned Cart recovery. Cart abandonment is a major challenge for online stores. N8N can automatically send reminder emails to customers who leave items in their carts without completing a purchase. These reminders often recover lost sales and improve conversion rates. Customer feedback requests. Automated review requests encourage customers to provide feedback after receiving their orders. Positive reviews improve credibility and support future sales growth. Loyalty programs. N8N can automate reward points, membership benefits, and special offers for repeat customers, helping increase retention rates. Streamlining product management. Managing product catalogs becomes increasingly complex as inventory grows. Product listing automation. N8N can automatically create, update, or remove product listings based on inventory changes or supplier data. Automated price adjustments. Businesses can create workflows that automatically update pricing based on predefined rules, promotions, or competitor pricing strategies. Product catalog organization. Automated workflows can categorize products, update tags, and maintain organized collections. Dropshipping integration. N8N can connect Shopify stores with dropshipping suppliers, ensuring seamless product synchronization and inventory updates. Product analytics. Automated reporting workflows provide valuable insights into product performance, sales trends, and customer preferences. N8N for omnichannel selling. N8N helps unify these channels through centralized automation. Inventory synchronization. Automated workflows keep inventory levels consistent across: * Shopify * Amazon * eBay * Social commerce platforms Order management across channels. N8N can consolidate orders from multiple sales channels into a single management system. Cross-Selling and upselling. Businesses can automate personalized recommendations based on customer purchase history and browsing behavior. Multi-Store management. Store owners managing multiple Shopify stores can use N8N to centralize operations and reduce administrative workload. Integrating N8N with third-party tools. One of N8N's greatest strengths is its ability to connect with hundreds of business applications. Accounting software. Integrations with accounting platforms automate bookkeeping, invoice generation, and financial reporting. CRM systems. Customer relationship management tools can automatically receive customer data and purchase information. Helpdesk platforms. Support tickets can be generated automatically based on customer requests and order issues. Custom integrations. Businesses with unique requirements can create customized workflows using APIs and webhooks. Advanced N8N automation techniques. As businesses grow, more advanced automation strategies become valuable. Real-Time triggers. Real-time workflows execute immediately when specific events occur, ensuring fast responses and accurate data synchronization. Webhook automation. Webhooks enable instant communication between Shopify and external applications, reducing delays and improving efficiency. Complex workflow logic. N8N supports conditional workflows that make decisions based on specific criteria, allowing highly personalized automation. AI-Powered automation. Businesses can integrate artificial intelligence tools with N8N to automate customer support, product recommendations, and predictive analytics. Security and data protection. Security is critical when handling customer and business data. Protecting customer information. Businesses should encrypt sensitive information and limit access to authorized personnel only. Secure credentials. API keys, login credentials, and authentication tokens should be stored securely within N8N environments. Regulatory compliance. Store owners must comply with regulations such as GDPR and other privacy laws when processing customer data. Backup and recovery. Regular backups help protect business data and ensure quick recovery in the event of technical failures. N8N automation provides Shopify store owners with a powerful solution for streamlining operations, improving efficiency, and enhancing customer experiences. From order processing and inventory management to email marketing and omnichannel selling, N8N can automate countless business processes. Its flexibility, affordability, and advanced customization options make it an excellent choice for e-commerce businesses of all sizes. By implementing N8N automation strategically, Shopify store owners can save time, reduce costs, and focus on growing their businesses while delivering exceptional customer experiences.

BizStack
Jun 9th, 2026
n8n plans 200 UK employees by 2029 at $5.2bn valuation.

n8n plans 200 UK employees by 2029 at $5.2bn valuation. n8n, the Berlin-founded AI workflow orchestration platform, announced during London Tech Week on 9 June 2026 that it is targeting 200 UK-based employees by 2029. The company's UK team has already tripled in size over the past year. Get Free Daily Insights to Stay Ahead in Your Entrepreneurial Journey. Table of Contents The numbers behind the announcement. n8n is currently valued at $5.2bn, making it Germany's most valuable AI startup. That valuation followed a strategic partnership and investment from SAP in May 2026. The platform reports more than 35% of the Fortune 500 have adopted it, alongside a community of 1.8 million monthly active developers and builders. The UK expansion is not purely aspirational. Vodafone used n8n to automate threat intelligence workflows across engineering and security operations in an environment processing billions of security events per month. The deployment saved Vodafone UK 5,000 person-days and avoided £2.2mn in costs, with savings running at approximately £300,000 per month. Other UK customers include government ministries on Whitehall. Why the UK specifically. CEO Jan Oberhauser framed the 200-person target as roughly one in five of n8n's entire projected workforce based in the UK by 2029. The platform's self-host model, built on a fair-code licence, means organizations retain full source code access and data never leaves their own infrastructure. That data sovereignty angle has driven adoption in GDPR-regulated and government environments, two categories where the UK market is particularly active. The operator angle. n8n is free to self-host. If you're evaluating AI workflow tools for a team or an enterprise client, the Vodafone case study is the most concrete benchmark publicly available from this announcement: billions of events processed monthly, manual work eliminated, and a cost avoidance figure you can put in a business case. Strategic partnerships with SAP, Accenture, and Deutsche Telekom round out the enterprise credibility picture. Cagri Sarigoz ( Founder) I'm founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs. With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I'm dedicated to sharing genuine, useful product insights and tips. At BizStack, I aim to cut through the digital noise to provide clear, actionable advice. And more than all else, I'm a father to a (always) little girl and a husband. Contact me at [email protected] for assistance.

AdoDesign
May 28th, 2026
Make vs. Zapier vs. n8n in 2026: which automation platform actually wins for small business?

Make vs. Zapier vs. n8n in 2026: which automation platform actually wins for small business? 28 may 2026 | Adodesign team | business automation. Make, Zapier, and n8n have all launched major AI upgrades in 2026 - and they've never been more different from each other. If you're a small business picking an automation platform right now, the wrong choice costs you hundreds per month and hours of rebuilding. Here's the honest comparison. The short version: Zapier is the easiest. Make is the best value. n8n is the most powerful - if you're willing to host it yourself. Each has a genuinely different strength, and the right answer depends on who you are. Zapier: the largest library, the steepest price. Zapier remains the most accessible automation tool for non-technical users. Its linear "trigger | action" interface is the simplest in the category, and its library of 8,000+ app integrations is unmatched. If you need to connect an obscure SaaS tool to your CRM, Zapier almost certainly has it. In 2026, Zapier launched Zapier Agents - AI-powered bots that can reason across steps, handle branching logic, and take autonomous actions inside connected apps. It's genuinely useful for things like triaging support emails or auto-qualifying leads. The catch: Zapier is expensive at scale. The free plan caps at 100 tasks/month. The Professional plan starts at $49.99/month for 2,000 tasks - and tasks add up fast when multi-step zaps each count separately. For SMBs running high-volume workflows, costs can reach $200-400/month before you know it. Best for: Non-technical business owners who need to connect popular tools quickly and aren't running high task volumes. Make (formerly Integromat) is the visual automation platform that actually rewards you for building complex workflows. Its drag-and-drop canvas handles branching, loops, filters, and error handling in a way Zapier's linear model can't match. And its pricing is dramatically better. Make charges by operations - every module execution in a scenario. Compared to Zapier's task pricing, Make delivers roughly 13x more operations per dollar at comparable plan tiers. A $29/month Core plan gives you 10,000 operations. That's real automation headroom for a small business. Make's 2026 addition is Maia, its AI assistant that helps you build scenarios from natural language, debug errors, and suggest optimizations. It's not magic, but it genuinely cuts build time for new automations. Best Value Pick If you're running more than 3-4 active automations and your workflows involve any conditional logic, Make is almost certainly the right choice. The learning curve over Zapier is real but modest - most users feel comfortable within a week. Best for: SMBs that need more complex logic, are cost-conscious, or are scaling automation across multiple workflows. n8n: the most powerful - with a catch. n8n is a different animal. It's open-source, self-hostable, and with its January 2026 2.0 launch, it added persistent agent memory, multi-agent orchestration, and native AI model integrations that Make and Zapier don't offer at any price tier. On n8n's cloud plan, pricing starts at $20/month for 2,500 executions. But the real value is self-hosting: run n8n on a $5-10/month VPS (DigitalOcean, Hetzner) and your only cost is the server. Unlimited workflows, unlimited executions, no per-task fees. For technically comfortable teams, this is an extraordinary deal. * n8n 2.0 agents can remember context across sessions - useful for customer-facing bots and multi-step research tasks. * Native integrations for OpenAI, Anthropic, Ollama (local LLMs), and vector databases like Pinecone. * Code nodes let you drop into JavaScript or Python when no-code isn't enough. The honest catch: n8n requires comfort with self-hosting, Docker, or at minimum basic server management. The UI is more complex than Make or Zapier. If "SSH into a server" sounds unfamiliar, start with Make instead and revisit n8n when you have a technical resource. Best for: Tech-comfortable SMBs, agencies, and developers who want maximum power, AI-native workflows, and zero per-task costs. The decision framework. Stop comparing features and answer these three questions: * How technical is your team? Non-technical | Zapier. Moderate | Make. Developer on staff | n8n. * How many tasks/month are you running? Under 1,000 | any platform. Over 5,000 | Make or n8n wins on cost. * Do you need AI agents with memory? Today, only n8n 2.0 delivers this natively at the SMB price point. One practical note: these platforms aren't mutually exclusive. Many SMBs use Zapier for simple consumer app connections (because the integration exists nowhere else) and Make for their core business workflows. That's a reasonable hybrid. At Adodesign, AdoDesign Digital help SMBs design and implement automation stacks that actually fit their team - not just whatever platform is easiest to demo. If you're not sure where to start, AdoDesign Digital can audit what you're doing manually and map the highest-ROI automations first.

BizStack
May 12th, 2026
Mercedes-Benz picks n8n as its global AI automation platform.

Mercedes-Benz picks n8n as its global AI automation platform. Mercedes-Benz has selected n8n as its global low-code automation platform and is deploying it across business units worldwide. For a 164,000-person organisation operating under GDPR and multiple regional data regulations, the self-hosted, cloud-agnostic deployment model was a key requirement: workflows run on Mercedes-Benz infrastructure, sensitive data stays internal, and the company keeps full control of its automation layer. Get Free Daily Insights to Stay Ahead in Your Entrepreneurial Journey. Table of Contents How the adoption model is structured. Mercedes-Benz frames AI adoption across three capability levels. Takers use AI in their daily work. Makers orchestrate AI-powered workflows. Builders develop advanced solutions that drive transformation across the company. n8n sits in the Makers layer, letting analysts, operations leads, and domain experts design and deploy production workflows without writing code from scratch. That distinction matters at scale. Getting meaningful AI adoption across an organisation this size requires more than a small engineering team building bespoke integrations. n8n's node-based canvas opens the automation layer to a much wider group of contributors while technical teams handle the deeper work. What is already running in production. Several workflows are live against real systems: * Customer support: AI workflows handle recurring issues autonomously using historical cases and knowledge bases, routing complex issues to humans while learning from each interaction. * Sales: n8n orchestrates multiple AI agents across pre-sales and advisory systems, with integrated evaluation pipelines monitoring agent performance continuously. * IT operations: Automated workflows collect and analyse system logs, detect anomalies, and pre-qualify incidents before they reach support teams. Future plans include extending n8n into R&D, software release management within MB.OS (Mercedes-Benz's proprietary operating system), and intelligent ticket routing in customer service. The hackathon-to-production pipeline. Mercedes-Benz ran a company-wide hackathon where employees across business units developed AI and automation ideas using n8n. Selected ideas are being moved from pitch stage into production. The platform handled both sides: accessible enough for non-specialists to prototype, robust enough to carry the output into live operations. The operator takeaway. Most enterprise automation stories stall at proof-of-concept. The Mercedes-Benz deployment is notable because the same platform that runs the hackathon also runs the production workflow. For solopreneurs and small teams evaluating n8n, this is a signal that the platform's self-hosted model and extensibility hold up at the extreme end of organisational complexity. Cagri Sarigoz ( Founder) I'm founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs. With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I'm dedicated to sharing genuine, useful product insights and tips. At BizStack, I aim to cut through the digital noise to provide clear, actionable advice. And more than all else, I'm a father to a (always) little girl and a husband. Contact me at [email protected] for assistance.

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