Abdul Mir
Hey đ I'm Abdul. I build AI-powered systems for marketing agencies and consultants who want to move fast and automate the boring stuff. Think lead gen agents, proposal generators, and content creation systems. I specialize in growth-focused automations and share workflows that save time and land clients.
Templates by Abdul Mir
Lead gen agent (Telegram)
Overview Use your voice or text to command a Telegram-based AI agent that scrapes leads or generates detailed research reportsâinstantly. This workflow turns your Telegram bot into a full-blown outbound machine. Just tell it what type of leads you need, and itâll use Apollo to find and save them into a spreadsheet. Or drop in a LinkedIn profile, and itâll generate a personalized research dossier with info like job title, company summary, industry insights, and more. It handles voice messages tooâjust speak your request and get the results sent back like magic. Whoâs it for Cold emailers and growth marketers Solo founders running outbound SDRs doing daily prospecting Agencies building high-quality lead lists or custom research for clients How it works Triggered by a message (text or voice) in Telegram If itâs voice, it transcribes using OpenAI Whisper Uses an AI agent to interpret intent: scrape leads or research a person For lead scraping: Gathers criteria (e.g., location, job title) via Telegram Calls the Apollo API to return fresh leads Saves the leads to Google Sheets For research reports: Takes a LinkedIn profile link Uses AI and lead data tools to create a 1-page professional research report Sends it back to the user via email Example outputs Lead scraping: Populates a spreadsheet with names, roles, LinkedIn links, company info, emails, and more Research report: A formatted PDF-style brief with summary of the person, company, and key facts How to set up Connect your Telegram bot to n8n Add your OpenAI credentials (for Whisper + Chat agent) Plug in your Apollo API key or scraping tool Replace the example spreadsheet with your own Customize the prompts for tone or data depth (Optional) Add PDF generation or CRM sync Requirements Telegram Bot Token OpenAI API Key Apollo (or other scraping API) credentials LinkedIn URLs for research functionality How to customize Replace Apollo with Clay, People Data Labs, or another scraping tool Add a CRM push step (e.g. Airtable, HubSpot, Notion) Add scheduling to auto-scrape daily Reformat the research report as a downloadable PDF Change the agentâs tone or role (e.g. âOutreach Assistant,â âInvestor Scout,â etc.)
By Abdul MirLead research report emails
Overview This workflow auto-generates a personalized research report on any prospect who books a call with youâusing their LinkedIn profile and advanced web research. When a call is booked in your calendar, the system looks up the leadâs LinkedIn URL from a Google Sheets database. That profile is then scraped using Relevance AI to extract posts, experiences, and education. It also runs a deep-dive query on the person using Perplexity to uncover relevant news, insights, and context. This structured data is passed to an AI model that produces a clean profile summary, suggested pain points, and solution ideas. Finally, the system builds and sends you a fully formatted HTML report via emailâready to review before your meeting. Whoâs it for Founders taking high-stakes sales calls SDRs/BDRs booking back-to-back meetings Agencies and consultants who want to personalize discovery calls Teams doing high-touch enterprise sales or B2B outreach How it works Triggered when a new call is booked via Cal.com Finds matching LinkedIn URL from a local database (Google Sheets) Scrapes public LinkedIn data via Relevance AI Runs a Perplexity query on the prospect for deeper context Formats the scraped data using Code nodes Sends structured info to AI to generate: A company + person profile Suggested pain points and solutions Formats everything into a clean HTML report Emails you the final summary to prep for the call Example use case > Someone books a call. You receive a report 2 minutes later in your inbox with: > - Their role, company, and latest posts > - What their business does > - Recent news and context from Perplexity > - Predicted pain points and how you might help > > You show up to the call prepped and ready How to set up Connect your Cal.com trigger (or replace with any booking tool) Set up your Google Sheet(s) with contact info + LinkedIn profiles Add Relevance AI API key and configure LinkedIn scraping (they have free credits) Link Perplexity API for web research Customize the AI prompts and report formatting Connect Gmail or preferred email provider to send reports Requirements Cal.com or other booking platform Google Sheets for lead storage Relevance AI account and API access Perplexity API key OpenAI or similar LLM for summarization Email integration (e.g. Gmail) How to customize Replace Cal.com with Calendly, SavvyCal, etc. Change AI prompt tone and structure of the report Add CRM push (e.g. log into HubSpot, Notion, or Airtable) Add Slack or Telegram notifications for call alerts Format reports as PDF instead of HTML for download
By Abdul MirInbox manager (GPT, Google Calendar & Supabase)
Overview Turn your cluttered inbox into a smart, autonomous assistant that categorizes emails, replies to leads, checks your calendar, and notifies you on Telegramâall without lifting a finger. This workflow is designed for a marketing agency, but can be adapted for any business. It classifies incoming emails into categories like Sales, Client Communication, Reports, Billing, and Other. If it detects a new lead or priority message, it routes the email to one of two agents: The Calendar Agent checks your availability in Google Calendar and drafts a consultation reply The Knowledge Agent answers FAQs using your business knowledge base (with Supabase embeddings) Both agents create draft email responses and send a Telegram alert so you're always in the loop. Whoâs it for Founders and agency owners buried in emails Marketing teams handling lots of inbound leads Customer support managers automating Tier 1 replies Anyone who wants a cleaner, smarter inbox without hiring a VA How it works Gmail trigger watches for incoming emails Email content is passed to an AI classifier to apply a label (Sales, Client, Billing, etc.) If the message is a new inquiry or lead, itâs routed to: Calendar Agent â checks Google Calendar and drafts a reply with available slots Knowledge Agent â searches vector DB and drafts a helpful reply from documentation Both agents create a Gmail draft response and send a Telegram notification with summary Example use case > A lead emails you asking for a discovery call. > > â Email is labeled "Sales" > â AI Calendar Agent checks your Google Calendar > â A reply is drafted offering free time slots > â You get a Telegram ping: > "New lead: Abdul Mir. I checked your calendar and drafted a reply. Check your email!" How to set up Connect your Gmail and set up a trigger for new messages Train the AI classifier with example categories and emails Connect Google Calendar API for availability checks Upload your internal docs and sync to Supabase vector store Connect Telegram for alerts Customize AI prompts and escalation logic as needed Requirements Gmail integration OpenAI or Claude API (for classification + chat agents) Google Calendar API Supabase (or Pinecone, Weaviate) for RAG vector DB Telegram bot API key How to customize Add custom labels like âRecruiting,â âInvestor,â or âSupportâ Replace Telegram with Slack or SMS alerts Add CRM sync to update lead status Escalate complicated replies to a human via task creation Add auto-send (instead of drafts) after review or based on confidence score
By Abdul MirPersonalized thank-you emails with website scraping, GPT-4o, and Gmail
Overview Impress your leads with ultra-personalized âthank youâ emails that look hand-written â sent automatically seconds after they submit your intake form. This workflow instantly scrapes the prospect's website, extracts meaningful copy, and uses AI to write a custom thank-you message referencing something specific from their site. It gives the impression you immediately reviewed their business and crafted a thoughtful reply â without lifting a finger. Whoâs it for Agencies and consultants using intake forms Freelancers booking discovery calls B2B businesses that want high-touch first impressions Sales teams automating initial follow-ups How it works Triggered when a form (e.g. Tally, Typeform) is submitted Scrapes the website URL provided in the form Converts HTML to Markdown and extracts plain copy Uses AI to write a personalized thank-you message referencing the site Waits briefly to simulate real typing delay Sends the message via Gmail (or any email provider) Example use case > Prospect submits a form with their website: coolstartup.ai > > 30 seconds later, they receive: > > âThanks for reaching out! I just checked out Cool Startupâs homepage â love the clean UX and mission around AI for teams. Looking forward to diving into how we might collaborate!â How to set up Connect your form tool (e.g. Tally or Typeform) Connect Gmail or another email provider Customize the AI prompt to match your tone Set the wait time (e.g. 30 seconds) for a realistic delay Update your website scraping logic if needed Requirements Form tool with webhook support OpenAI (or other LLM) credentials Email sending integration (Gmail, Mailgun, Postmark, etc.) How to customize Edit the email tone (casual, formal, funny, etc.) Add CRM integration to log form submission and response Trigger additional workflows like lead scoring or Slack alerts Add fallback logic if the website doesnât scrape cleanly
By Abdul Mir