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More leads won't fix bad outreach
Last week, a new client came to me — runs a podcast that just hit #1 on Spotify. Great brand, great credibility. Zero outbound system. Here's what we did: We didn't blast 10,000 emails hoping something sticks. We built a targeted lead list around his exact ICP — the specific type of people who would genuinely benefit from being on his show (and who could open doors for his business). Then we set up his mailboxes properly, warmed them, and launched the campaign. That night, I went to sleep. Next morning, I woke up to this message from him: "Rishabh my calendar is full for the whole day just cause of you." Here's what the numbers looked like: 350 prospects contacted 2.5% reply rate 100% positive reply rate — every single reply was interested No spray and pray. No chasing unqualified leads. Just a clean system talking to the right people. Here's the lesson: Cold outreach isn't broken. Most people are just doing it wrong — bad lists, generic copy, wrong audience. When you fix those three things, even a small campaign can fill your calendar. The framework is simple: Get hyper-specific on WHO you're reaching out to Make the email feel like it was written just for them Let the system run while you sleep That's it. That's the whole thing. If you're doing outbound right now and it's not converting — or you're not doing it at all because it feels overwhelming — DM me. I'll take a look at what you're working with and tell you exactly where the gap is. No pitch, just a real answer.
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More leads won't fix bad outreach
🏆 n8n Community Challenge Winner (April '26)
Excited to share that out of all April submissions, my NPM Package Intelligence Agent was selected as a spotlight winner! 🚀 Built an AI-powered agent that analyzes any npm package and delivers data-driven recommendations using: — GitHub & npm APIs for real-time metrics — Firecrawl for web intelligence — Gemini for structured insights Helps you avoid risky dependencies before they hit production. Huge thanks to the n8n team for running such an incredible challenge — this community pushes builders to go deeper and build smarter. 🙌 Free template available — link in comments 👇
🏆 n8n Community Challenge Winner (April '26)
My attempt at building the AI AGENT using tech platforms I am familiar with.
Meet Laila. The jewellery concierge that listens. A fully deployed AI sales assistant for Astraea Fine Jewellery — built from scratch in weeks, live in production, and capable of selling in various languages through text, voice, and image. WHAT WAS BUILT Not a chatbot. A concierge. Laila is an AI-powered sales assistant embedded directly into Astraea Fine Jewellery's website. She understands what a customer is looking for — by reading what they type, listening to their voice, or analysing a photo they share — and responds the way a trained in-store stylist would: with curated product recommendations, elegant replies, and a genuine sense of the brand. FOR BUSINESS OWNERS Your best salesperson. Available always. Laila answers customer questions at 2 am in Arabic, recommends a pearl necklace to someone browsing in Hindi, and helps a French speaker find the perfect anniversary gift — all without a single human agent involved. She knows your entire catalogue, never pushes too hard, speaks the customer's language naturally, and sends them directly to checkout with one tap. Think of her as your most consistent, most patient, most knowledgeable team member — who never calls in sick. Updating the catalogue is as simple as editing a spreadsheet. No developers, no deployments. FOR TECHNICAL EVALUATORS Production-grade. Auditable. Extensible. A single-file HTML shell loads two external JS modules (config.js, catalog.js) and communicates exclusively with a Deno Deploy edge proxy. No API keys, prompts, or webhook URLs are exposed in page source. The proxy abstracts four backend layers: Make.com automation (8-route GPT-4o scenario), ElevenLabs TTS, Airtable catalog, and OpenAI Whisper transcription. The catalog provider is hot-swappable via a single env var — Airtable today, Cloudflare D1 or KV tomorrow. Conversation history persists in a Make datastore keyed by sessionId. The architecture is fully stateless on the client — drop-in replaceable at every layer.
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Skills ready to Hermes
Hi everyone, There is a new Apify Actor that converts Apify Actors, API docs, GitHub repos, and OpenAPI specs into Hermes-ready skill packages. https://apify.com/solutionssmart/hermes-skill-builder-for-apify-apis It generates SKILL.md, manifest.json, input_schema.json, tool_call_contract.json, examples, test prompts, integration notes, and an optional ZIP package. For Apify Actor URLs, it also extracts verified schemas, run endpoints, conditional requirements, agent-safe field guidance, and cost-safety profiles. The goal is to make external tool integration more structured than loose markdown prompts.
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n8n Template Just Got Approved — AI That Reads Legal Contracts For You
It's officially live on the n8n template hub! 🎉 For those who missed my earlier post — this workflow reads any PDF contract and flags every risky clause. Upload PDF → risk report in 5 minutes. No legal background needed. Grab it free 👇 https://n8n.io/workflows/15307
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Brendan's AI Community
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A free community for AI Voice Agents, Claude Code & n8n.
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