Anatoly
Driving revenue growth for Mid-sized and Enterprise companies through scalable Lead Gen & Data Management systems | AI enthusiast | Working across US, UK, LATAM & Japan
Templates by Anatoly
Generate personalized cold email icebreakers with Perplexity Research & Claude Sonnet
AI-Powered Lead Generation: Personalized Icebreakers with Perplexity Research & Claude Sonnet 4.5 This production-ready workflow transforms your lead generation by automatically researching prospects and generating genuinely personalized icebreakers that feel human-written. What normally takes 10-15 minutes per lead now happens in under a minute, at scale. π― What It Does: Pulls lead data from Google Sheets, conducts real-time AI research on each prospect, and generates custom cold email opening lines that reference actual company achievements and recent news. The workflow processes leads in batches, updates your spreadsheet automatically, and maintains context throughout the entire process. Automated Research: Perplexity Sonar searches the web for current information about each prospect and their company Company Name Standardization: GPT-4o-mini cleans up corporate names to sound natural ("Sharp Guys Web Design Agency" becomes "Sharp Guys") Personalized Icebreakers: Claude Sonnet 4 crafts opening lines that reference real achievements in a casual, bar-conversation tone Smart Processing: Filters already-processed leads, handles batches of 25, and safely updates your spreadsheet Cost Effective: Approximately $0.02 per lead with typical 2-3x response rate improvement π‘ Use Cases & Results: Perfect for: B2B sales teams, marketing agencies, business development, recruiters, freelancers, startup founders doing cold outreach. Expected results: 2-3x response rate improvement ~$0.02 per lead cost 10-15 min β 30-60 sec per lead Why it works: Icebreakers reference real, current information vs generic templates. Prospects notice the personalization. π§ How It Works: The workflow follows a six-step process. First, it retrieves lead data from your Google Sheets and filters out any leads that already have icebreakers to avoid reprocessing. Then it processes leads in manageable batches of 25 to respect API rate limits while maintaining efficiency. For each lead, the system standardizes the company name by removing corporate suffixes like "Agency," "Inc.," or "Group" to make icebreakers sound more natural. Next, Perplexity Sonar conducts real-time web research on the prospect, finding recent company news, achievements, funding rounds, and relevant background information. Claude Sonnet 4 then analyzes this research and generates a personalized icebreaker that sounds genuinely human-written. The prompt instructs Claude to use a casual, spartan tone and to look for plausible connections without stretching the truth. Each icebreaker follows a proven format: "Hey [FirstName], [specific observation about their company], I wanted to share something that could be relevant for [Company]." Finally, the workflow updates your spreadsheet with both the cleaned company name and the personalized icebreaker, then loops back to process the next batch until all unprocessed leads are complete. β¨ Key Features: Real-time research: Perplexity Sonar accesses current web data for the most relevant, up-to-date information Natural language: Icebreakers reference real achievements in conversational tone, not corporate speak Batch processing: Handles 25 leads at a time with automatic looping for any volume Smart filtering: Skips leads that already have icebreakers, enabling easy reruns with new data JSON output: Structured format ready for integration with cold email tools Resume capability: Can stop and restart anytime without losing progress Quality assurance: AI models are specifically chosen for their strengths (speed, research, writing) π Requirements: Google Sheets with lead data (columns: id, firstname, lastname, title, organizationname, Icebreaker, companyname_cleanup) OpenAI API key (for GPT-4o-mini company name cleanup) OpenRouter account with credits (for Perplexity Sonar and Claude Sonnet 4 access) n8n Cloud or self-hosted instance β‘ Quick Setup: Prepare your Google Sheets spreadsheet with the required columns and fill in your lead data. Connect your Google Sheets, OpenAI, and OpenRouter credentials to n8n. Configure the "Get Leads" and "Update Icebreaker" nodes to point to your spreadsheet. Test with a couple of leads first to ensure everything works, then run the full workflow. The workflow includes comprehensive documentation via sticky notes covering data structure, AI model selection rationale, customization options, cost analysis. π What You Get: Complete end-to-end automation with detailed sticky note documentation explaining each step, customizable prompts for adjusting tone and style, batch processing logic that respects API limits, error handling and retry mechanisms, cost optimization using the right AI model for each task (GPT-4o-mini for simple transformations, Perplexity for research, Claude for writing), and security best practices for handling lead data responsibly. π° Expected Results: At approximately $0.02 per lead, this workflow typically delivers response rate improvements of 2-3x compared to generic templates. For a hundred leads, you invest about $2 and save over fifteen hours of manual research and writing time. The icebreakers sound genuinely human because they reference real, current information rather than generic templates. Many users report that prospects often respond positively to the personalized opening, commenting that it doesn't feel like a mass email. π Integration Ready: The output format is designed to integrate seamlessly with popular cold email tools like Instantly, Lemlist, Smartlead, and others. Simply export your updated spreadsheet and import the icebreakers into your outreach sequences. The casual tone and specific details make these icebreakers perfect for relationship-building campaigns where authenticity matters. Icebreaker Examples: https://docs.google.com/spreadsheets/d/1oxNW4l54fVjxq6Y62xRyqqQK6O3gCsmqmBhO2ei1Y/edit?usp=sharing
Daily Solana news tracker with GPT-4.1-mini weekly summaries in Google Sheets
Automated Solana News Tracker with AI-Powered Weekly Summaries Never miss important Solana ecosystem updates again. This production-ready workflow automatically scrapes crypto news daily, intelligently filters duplicates, stores everything in Google Sheets, and generates AI-powered weekly summaries every Mondayβcompletely hands-free. π― What It Does: This intelligent automation runs on autopilot to keep you informed about Solana developments without manual monitoring. Every day at 8 AM PT, it fetches the latest Solana news from CryptoPanic, checks for duplicates against your existing database, and stores only new articles in Google Sheets. On Mondays, it takes an extra step: reading all accumulated articles from the past week and using GPT-4.1-mini to generate a concise, factual summary of key developments and investor takeaways. Daily News Collection: Automatically fetches latest Solana articles from CryptoPanic API Smart Duplicate Detection: Compares incoming articles against existing database to prevent redundancy Data Validation: Filters out incomplete articles to ensure data quality Organized Storage: Maintains clean Google Sheets database with timestamps and descriptions Weekly AI Summaries: Analyzes accumulated news every Monday and generates 2-3 sentence insights Historical Archive: Builds searchable database of both raw articles and weekly summaries πΌ Perfect For: Crypto traders tracking market-moving news β’ SOL investors monitoring ecosystem growth β’ Blockchain researchers building historical datasets β’ Content creators sourcing newsletter material β’ Portfolio managers needing daily briefings β’ Anyone wanting Solana updates without information overload π§ How It Works: The workflow operates in two distinct modes based on the day of the week. During the daily collection phase (Tuesday-Sunday), it runs at 8 AM PT, fetches the latest Solana news from CryptoPanic, formats the data to extract titles, descriptions, and timestamps, checks each article against your Google Sheets database to identify duplicates, filters out any articles that already exist or have missing data, and appends only valid new articles to your "Raw Data" sheet. On Mondays, the workflow performs all daily tasks plus an additional summarization step. After storing new articles, it retrieves all accumulated news from the "Raw Data" sheet, aggregates all article descriptions into a single text block, sends this consolidated information to GPT-4.1-mini with instructions to create a factual, spartan-toned summary highlighting key investor takeaways, and saves the AI-generated summary with a timestamp to the "Weekly Summary" sheet for historical reference. β¨ Key Features: Schedule-based execution: Runs automatically at 8 AM PT every day without manual intervention Intelligent deduplication: Title-based matching prevents storing the same article multiple times Data quality control: Validates required fields before storage to maintain clean dataset Dual-sheet architecture: Separate sheets for raw articles and weekly summaries for easy access Cost-effective AI: Uses GPT-4.1-mini (~$0.001 per summary) for extremely low operating costs Scalable storage: Google Sheets handles thousands of articles with free tier Customizable cryptocurrency: Easily adapt to track Bitcoin, Ethereum, or any supported coin Flexible scheduling: Modify trigger time and summary frequency to match your needs π Requirements: CryptoPanic account with free API key (register at cryptopanic.com) Google Sheets with two sheets: "Raw Data" (columns: date, title, descripton, summary) and "Weekly Summary" (columns: Date, Summary) OpenAI API key for GPT-4.1-mini access (~$0.05/month cost) n8n Cloud or self-hosted instance with schedule trigger enabled β‘ Quick Setup: Register for a free CryptoPanic API key and replace [your token] in the "Get Solana News" HTTP Request node URL. Create a new Google Spreadsheet with two sheets: one named "Raw Data" with columns for date, title, descripton (note the typo in template), and summary; another named "Weekly Summary" with columns for Date and Summary. Connect your Google Sheets OAuth2 credential to all Google Sheets nodes in the workflow. Add your OpenAI API credential to the "Summarize News" node. Test the workflow manually to ensure it fetches news and stores it correctly. Activate the workflow to enable daily automatic execution. π¨ Please note, that you're not able to get news in real-time with a FREE CryptoPanic API. Consider their pro plan or another platform for real-time news scraping You'll get new that's up to date as of yesterday. π What You Get: Complete end-to-end automation with concise sticky note documentation at each workflow stage, pre-configured duplicate detection logic, AI summarization with investor-focused prompts optimized for factual analysis without hype, dual-sheet Google Sheets structure for raw data and summaries, flexible schedule trigger you can adjust to any timezone, example data in pinned format showing expected API responses, customization guides for different cryptocurrencies and summary frequencies, and troubleshooting checklist for common setup issues. π° Expected Costs & Performance: CryptoPanic API is free with reasonable rate limits for personal use. OpenAI GPT-4.1-mini costs approximately $0.001 per summary, totaling about $0.05 per month for weekly summaries. The workflow typically processes 20-50 articles daily and generates one summary weekly from 140-350 accumulated articles. Daily executions complete in 5-10 seconds, while Monday runs with AI summarization take 15-20 seconds. Google Sheets provides free storage for up to 5 million cells, easily handling years of news data. π Customization Ideas: Track different cryptocurrencies by changing the currencies parameter (btc, eth, ada, doge, etc.). Adjust the schedule trigger to run at different times matching your timezone. Modify the Monday check condition to generate summaries on different days or multiple times per week. Connect Slack, Discord, or Email nodes to receive instant notifications when summaries are generated. Edit the AI prompt to change tone, detail level, or focus on specific aspects like price action, development updates, or partnerships. Add conditional logic to send alerts only when certain keywords appear in news (like "hack," "partnership," or "upgrade").