A missed call at 4:58 PM can cost you the whole job. Automate follow-up. Capture every lead fast and turn missed calls into booked jobs. Book a Revenue Audit and stop losing revenue now. #CRMautomation #Pipedrive #CRMsetup #Apolloio #SmallBusinessGrowth

A messy pipeline looks busy, but it can kill deals. When nothing moves forward, revenue leaks every day. Fix your CRM setup to get clear next steps and faster follow-up. Book a Revenue Audit today. #CRMautomation #Pipedrive #CRMsetup #Apolloio #SmallBusinessGrowth

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🇬🇧Heads up: London is the European capital of AI. And I’m putting together the London AI list x.com/i/lists/20321175807904… a) Subscribe b) Drop your Twitter/X handle and I’ll add you if you’re active in the field c) Do both <--- preferred Pretty much every major AI company is building here: @OpenAI, @AnthropicAI, @GoogleDeepMind, @Google, @MicrosoftAI , @cohere, @wayve_ai, @perplexity_ai, @databricks, @cursor_ai, @ElevenLabs, @nebiusai, @meetgranola, @WeAreLegora, @Meta, @IsomorphicLabs, @runwayml, @IneffableLabs, @xai, @polyaivoice, @apolloio

A clean pipeline should show where deals stand and what’s next — not hide stalled deals or missed follow-ups. If your pipeline feels like a black box, you’re losing revenue now. Book a Revenue Audit to fix it fast! #CRMautomation #Pipedrive #CRMsetup #Apolloio

🖥️ Massive 49 Million Record Leak Claim Shakes Global Sales Intelligence Ecosystem: Apolloio Dataset Allegedly Circulating on Underground Forum Video -Fact Checker: ✅: 2 ❌: 1 || 2/3 → Score: 66% ⚖️ -Prediction: 📈 2 Positive | 📉 1 Negative undercodenews.com/massive-49…

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A lead gen agency charges you to do 3 things: build the list, write the copy, run the campaign. Here's how to do all 3 yourself inside Claude Code end to end. > Start with the folder structure. The agent is really just a folder: one MD file that acts as the brain (your directions), plus separate files for your scoring criteria, copy frameworks, output templates, and API keys. Get this right first or you'll rebuild it later (we did). > Feed it the docs once. Grab any tool's API docs page (@apolloio, @InstantlyAI, your ad platforms), paste the link, tell Claude to read it and write its own reference file. Now it never relearns the integration. > Build your scoring from your own customers. Export your closed-won and current clients, have Claude find what they share: headcount, revenue, industry. That's your tier 1. Score them with a Python script instead of an AI prompt, so 10,000 companies get tiered on the raw numbers with nothing for the model to hallucinate. > Pull and enrich the contacts. Point it at @apolloio (or Blitz, Crest, RKI) and ask in plain English for the sales leaders at your tier 1 and 2 accounts. 150 contacts in under two minutes, then one more prompt enriches the work emails. No filters, no formulas. > Write copy off what already converts. Drop in the email frameworks working for you right now. Claude writes the sequence from those and maps the names and signatures itself. The trick we use: prospect one person by hand, write the perfect email, then have Claude reverse-engineer it across the whole list. > Push the campaign to your sequencer. It builds the campaign in @InstantlyAI or Smartlead, loads every lead, drops in the copy. You never open the tool. > Close the loop weekly. Let it run, then ask for the analytics. Claude pulls which copy and job titles actually replied, saves the winners, reuses them next time. Put it on Railway and it does this on its own, 24/7. The same approach runs our LinkedIn, Meta and Google ad campaigns, and a separate agent pulls everyone who engages with our posts straight into outbound. The $300 a month we used to spend on scraping tools is gone. You need a data provider, a sequencer, and Claude Code. The Claude part runs on the $20 plan, Max if you're pushing real volume. That's the whole stack. I sat down with our head of GTM and our head of growth and recorded the full breakdown, every build, live, start to finish. (full video in replies)

Anatomy of a $7M ARR lead generation agency. Every team, every tool, every traffic source. Here's how Marketing → Lead Capture → Sales → Delivery actually wires together: 1. Marketing (that powers 55,000 visits/mo): LinkedIn (~15,000) > 20 teammates with ~300K combined followers publish 150 posts/mo on outbound, AI, GTM > Internal design team handles creative for us and our clients > Stack: Taplio, Scripe SEO (~10,000) > Long-form blog content programmatic landing pages via @AirOps > Free micro-tools built with @claudeai Code > Stack: AirOps, Ahrefs, Claude Code, @webflow Paid Ads (~6,000) > ~$10K/mo across LinkedIn, Meta, Google to test channels > Stack: Claude Code, Fibbler, Usermaven Cold Outreach (~4,000) > Angles we deploy: value-driven lead magnet plays, lookalike account targeting, social engagement plays, inbound-led outbound > Every campaign sits on tight lists of <5,000 deeply enriched contacts > Stack: @clay, @claudeai Code, @apolloio, CompanyEnrich, @InstantlyAI, @lemlist, @prospeo_io, FullEnrich, PredictLeads Others (~11,000) > @beehiiv newsletter > Webinars > Now testing TikTok, Instagram, X for organic share 2. Lead Capture To turn traffic into pipeline, we layer: > Midbound Vector to surface anonymous traffic > Lifecycle emails through @customerio > Micro-tools that collect emails > Pop-up lead magnet e-books Everything routes through @n8nio and gets scored by Clay @OpenAI PredictLeads. 3. Sales Mostly sales led motion with two closers running our sales, and a *healthy* rivalry between them that pushes the numbers up. 2-3 Google Meet calls and $5-10K/mo retainers. Workflow: > Pre-call: case studies, VSL, free content route prospects to discovery > Discovery: AE meets prospect, fires off a LinkedIn connect > Enrichment: account research in Clay (funding, headcount, tech, tenure, reports) > Proposal → follow-up → closed won Stack: @attio (CRM), Attention (AI notes), Hyperline (CPQ), Qwilr (proposals), @stripe (payments) 4. Client Delivery We sometimes welcome 30 new accounts in a single quarter. To keep up, we: > Automated kickoff workflows via n8n > Synced GSuite ↔ @supabase ↔ Stripe ↔ Slack > Offloaded admin (Slack invites, onboarding links, secondary domain provisioning) Our GTM Engineers spend their hours only on the work that wins clients deals: custom ICP matrix, creative campaign concepts, copy. Stack: @airtable, n8n, @SlackHQ, Google Suite, @supabase The infographic below maps every connection visually 👇

Best AI Sales Tools 🤖 We've analyzed the leading #AI sales tools to help you supercharge your prospecting, outreach & CRM workflows. AI Sales Tools: @salesforce, @outreach_io, @replyio, @SeamlessAI, @clay, @SalesCloserAi, @apolloio, @Pipedrive, @JoinNooks, @amplemarket, @instantly_ai, @GetArtisanAI, @RelevanceAI_, @otter_ai, @origamichat, @franksondors. Why this matters: AI is transforming sales - from prospecting to closing. The right tools help you reduce manual work, scale outreach, qualify leads faster, and close more deals. Explore the full guide and find the tools that fit your sales process: cryptototem.com/best-ai-sale… Special thanks to all the platforms building the future of AI-powered sales.

The way I operate my agency wouldn’t have been possible 1 year ago. But we predicted this... And made a big bet on AI-Native Services. Claude Code is now our most used interface. We uniquely blend software and human expertise. We call it “AI-Native Services”. Here’s how it works operationally: 1️⃣ Company OS in git Our entire company dataset lives in one GitHub repo called Company OS. What's inside: • company/ - team, voice guide, design system, industry intel • wiki/ - SOPs, playbooks, campaign guides • clients/ - per-client context files • raw/ - client calls, market research, competitor data • plugin/ - 26 agents, 23 commands, hooks • skills/ - 79 Claude skills Data is constantly flowing in to keep it up-to-date. 2️⃣ Client repos Every client gets their own private repo. Same engineering pattern as the Company OS, just personalized to their account. What's inside: • Their ICP, voice guide, brand assets • Historical campaigns and what worked • Onboarding form data and deep research • Slack threads, call transcripts, GDrive changes • API/MCP connections to their revenue stack Result: every team member has full client company in every session. 3️⃣ Human interaction layer We still log into some SaaS UIs, but Claude is slowly taking over. Across 20 team members, the efficiency gain has been massive. We try to automate as much of the admin as possible: • Client onboarding • Content research and ideation • Skill tuning from team feedback • Reply triage sentiment routing • Campaign launch pre-flight checks So AI does the legwork, but humans ship. So we can spend more time on strategy creative GTM. 4️⃣ MCP CLI engine MCPs CLIs let Claude act across our stack vs. just advise. Some of our favorite MCPs/CLIs: • GitHub - Company OS client repos • Findymail - email verification waterfall • Google Workspace - client docs • Airtable - automation backend • InstantlyAI - email campaigns • Slack - team client comms • Apolloio - list enrichment • Notion - internal wiki PJM • HeyReach - DM sequences Plus HubSpot, Browserbase, Supabase, Vercel, Figma, Stripe, Pinecone, Clay, Apify, Firecrawl, and more. We're also migrating a ton of workflows to custom code. 5️⃣ Operationalize As an AI-native services company, we're constantly optimizing how we work with AI and software. Built into the system: • Guardrails: safety hooks gate 94 risky operations. • PR-based governance: anyone on the team can propose a new skill, agent, or tweak as a branch. • Workflows-engineering plugin: 26 agents, 79 skills, 23 commands auto-propagated. Agent swarms split tasks into 5-20 sub-agents. • Self-improvement loop: n8n syncs tech stack data back into the Company OS. Pinecone stores past content performance metrics for skills to query. Human corrections feed back in. There isn't ever going to be a finish line, so we're building like it's a marathon.

Hey, you! Still losing leads to slow follow-up? Hidden sales bottlenecks are killing your SMB's growth. Fix them fast with smart automation and clear workflows. Stop missing revenue and start closing more deals today. #CRMautomation #Pipedrive #CRMsetup #Apolloio

Andrea Mavilla, esperto di cybersecurity e della tutela dei dati personali, è entrato su alcune piattaforme come Lusha, Contact Kasper Apolloio, Uplead e altre situate negli Usa in Russia e Israele – infosannio.com/2025/11/29/ch…

I am selling high quality fresh B2B lead generation. (10k, 20k, 50k & 100k) Telegram: @digital_work_pro Apollo leads LinkedIn leads Zoominfo leads B2B lead generation Targeted email leads #apollo #apolloleads #apolloexport #apolloio #zoominfo #linkedinlead #b2b #LeadGen #USA

Meet Tim Zheng, the visionary CEO & Founder of Apollo.io! 🌟 A leading sales intelligence and engagement platform, tycoonstory.com/ #apolloio #b2bsales #salestech #seriesdfunding #techinnovation @apolloioindia

Learn how to build an AI system for deeply personalized cold emails at scale: 1️⃣ Setting up Apolloio searches for targeted leads 2️⃣ Using Apify to scrape website content 3️⃣ Processing data with NADN workflow automation 4️⃣ Generating personalized multi-line icebreakers with AI 5️⃣ Creating emails that achieve high response rates A practical walkthrough for cold emails that appear genuinely human-researched. (link in comment 👇)

[7/14] TruVi ver.2 (w/ @psycoder_s ) * DONE: Interviewee side frontend * Modify the DB schemas * Out-bound Sales: Sending emails, LinkedIn DMs by using @InstantlyAI, @apolloio * In-bound Sales: LinkedIn, X, thread posting