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Max Sveshnikov
Max Sveshnikov

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Building Genious.name: How We're Using AI to Transform Domain Name Discovery 🚀

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Hey DEV Community! 👋 Today I want to share our journey building Genious.name, an AI-powered domain name generator that's changing how developers and entrepreneurs find their perfect domain. Let me take you behind the scenes of our tech stack, challenges, and lessons learned.

The Problem We're Solving 🎯

Every developer knows the pain of finding a good domain name. You spend hours:

  • Brainstorming names manually
  • Checking availability across different registrars
  • Getting frustrated when your perfect name is taken
  • Compromising on subpar alternatives

I experienced this frustration firsthand while launching several side projects. That's when I thought: "Why isn't there an AI solution for this?"

Tech Stack Deep Dive 🛠️

Frontend Architecture

// Example of our domain suggestion component
interface DomainSuggestion {
  name: string;
  score: number;
  availability: {
    domain: boolean;
    social: {
      twitter: boolean;
      instagram: boolean;
    }
  };
  prices: Record<string, number>;
}

const DomainCard: React.FC<{ suggestion: DomainSuggestion }> = ({ suggestion }) => {
  const [isLoading, setIsLoading] = useState(false);

  const handleAnalyze = async () => {
    setIsLoading(true);
    // Domain analysis logic
    setIsLoading(false);
  };

  return (
    <Card>
      <motion.div
        whileHover={{ scale: 1.02 }}
        transition={{ type: "spring", stiffness: 300 }}
      >
        {/* Card content */}
      </motion.div>
    </Card>
  );
};
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We're using:

  • React + Vite for blazing-fast development
  • Framer Motion for those sweet, smooth animations
  • Chakra UI for a responsive dark mode interface
  • TypeScript for type safety and better developer experience

Backend Magic

// Domain generation service example
class DomainGenerationService {
  async generateSuggestions(description: string): Promise<DomainSuggestion[]> {
    const geminiResponse = await this.geminiClient.generateText({
      prompt: `Generate domain names for: ${description}`,
      maxTokens: 1000,
    });

    const suggestions = await this.processSuggestions(geminiResponse);
    return this.rankSuggestions(suggestions);
  }

  private rankSuggestions(suggestions: DomainSuggestion[]): DomainSuggestion[] {
    return suggestions.sort((a, b) => {
      // Complex ranking algorithm considering:
      // - Memorability score
      // - Length
      // - Brandability
      // - Available TLDs
      // - Social media availability
    });
  }
}
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The backend is powered by:

  • Node.js with Express for API endpoints
  • MongoDB for flexible data storage
  • Google Gemini AI for advanced language processing
  • Custom ranking algorithms for domain scoring

AI Integration Deep Dive 🧠

The most interesting part of our stack is how we leverage AI. Here's how our domain generation pipeline works:

  1. Input Processing:
async function processUserInput(input: string) {
  // Clean and enhance user input
  const enhancedPrompt = await this.contextEnhancer.process(input);

  // Extract key business attributes
  const attributes = await this.attributeExtractor.analyze(enhancedPrompt);

  return { enhancedPrompt, attributes };
}
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  1. Name Generation:
async function generateNames(context: GenerationContext) {
  const names = await this.geminiClient.generate({
    context: context.enhancedPrompt,
    attributes: context.attributes,
    constraints: {
      maxLength: 15,
      preferredPatterns: ['CVC', 'CVCV', 'CVVC'],
      avoidNumbers: true
    }
  });

  return names;
}
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  1. Availability Checking:
async function checkAvailability(names: string[]) {
  const results = await Promise.all(names.map(async (name) => {
    const domainStatus = await this.domainChecker.check(name);
    const socialStatus = await this.socialChecker.check(name);

    return {
      name,
      available: domainStatus.available,
      social: socialStatus,
      prices: domainStatus.prices
    };
  }));

  return results;
}
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Deployment & DevOps 🚀

We're using Docker for containerization:

# Example Dockerfile
FROM node:18-alpine

WORKDIR /app

COPY package*.json ./
RUN npm install

COPY . .

RUN npm run build

EXPOSE 3000

CMD ["npm", "start"]
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Our GitHub Actions workflow:

name: CI/CD Pipeline

on:
  push:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Setup Node.js
        uses: actions/setup-node@v2
        with:
          node-version: '18'
      - name: Install dependencies
        run: npm install
      - name: Run tests
        run: npm test
      - name: Build
        run: npm run build
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Upcoming Features 🔮

We're working on some exciting additions:

  1. AI Brand Identity Generator:
interface BrandIdentity {
  colors: {
    primary: string;
    secondary: string;
    accent: string;
  };
  typography: {
    headingFont: string;
    bodyFont: string;
  };
  logoSuggestions: string[];
  brandGuidelines: string;
}

async function generateBrandIdentity(domainName: string): Promise<BrandIdentity> {
  // AI-powered brand identity generation
}
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  1. Trademark Conflict Detection:
interface TrademarkCheck {
  conflicts: TrademarkConflict[];
  riskScore: number;
  recommendations: string[];
}

async function checkTrademarks(name: string): Promise<TrademarkCheck> {
  // Implementation coming soon
}
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Lessons Learned 📚

  1. Performance Optimization: Initial API response times were slow. We implemented:

    • Redis caching for domain availability checks
    • Batch processing for social media checks
    • Parallel processing for name generation
  2. Rate Limiting: We learned to handle API limits gracefully:

class RateLimiter {
  private queue: Array<() => Promise<any>> = [];
  private processing = false;

  async add<T>(task: () => Promise<T>): Promise<T> {
    return new Promise((resolve, reject) => {
      this.queue.push(async () => {
        try {
          const result = await task();
          resolve(result);
        } catch (error) {
          reject(error);
        }
      });

      if (!this.processing) {
        this.processQueue();
      }
    });
  }

  private async processQueue() {
    this.processing = true;
    while (this.queue.length > 0) {
      const task = this.queue.shift();
      await task();
      await new Promise(resolve => setTimeout(resolve, 100)); // Rate limit
    }
    this.processing = false;
  }
}
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What's Next? 🎯

We're focusing on:

  1. Implementing user authentication and profiles
  2. Building the premium features dashboard
  3. Enhancing AI capabilities with more context awareness
  4. Adding domain portfolio management tools

Get Involved! 🤝

We're open to contributions! Check out our GitHub repo (link coming soon) and join our Discord community to discuss features and improvements.

Would love to hear your thoughts and suggestions in the comments! What features would you like to see in a domain name generator? How do you currently handle domain name search?

Happy coding! 🚀

webdev #ai #javascript #react #nodejs

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