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Leonardo + Pluto - LinkedIn Outreach Duo

Leonardo + Pluto - LinkedIn Outreach Duo

workforce Workforce

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Get Personal Profile from LinkedIn
Google search
🗃️
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Get Recent Posts from LinkedIn
🔭
Get All Messages from Chat
Send Follow-Up Message (new)
Send First LI Message

Integrations

Google search
Extract content from website
LinkedIn

Description

Pluto, the Prospect Pilot performs in-depth research on a prospect and produces a detailed report. Leonardo, the LinkedIn Luminary sends hyper-personalised LinkedIn DMs to those prospects. --- Want to see how this fits into a complete outbound system? Check us out 👉 https://www.altari.ai/ Or grab a quick call here 📆 https://cal.com/altari/30min 👾 --- P.S join our free community for more templates, resources and guides 📚 https://www.skool.com/altari

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Example Task

Leonardo + Pluto - LinkedIn Outreach Duo
Add conversation metadata
Get Personal Profile from LinkedIn
Get Recent Posts from LinkedIn
Google search
Google search
Google search
🌐
🌐
🌐
🌐
🌐
🌐
Add conversation metadata
Leonardo + Pluto - LinkedIn Outreach Duo

Leonardo + Pluto - LinkedIn Outreach Duo

provided an update

Executive Summary

John Doe is a 123 Main Street, City, State 12345–based AI systems builder and co‑founder / CTO of Acme Corporation, focused on practical AI agents for outbound sales and lead generation. He is also a Tech Solutions Inc. Certified Expert & Partner and publishes frequent “build in public” LinkedIn threads showing agent templates, demos, and playbooks. Key engagement signals: (1) active LinkedIn thought leadership around AI agents (recently ran a “7 agents in 7 days” series), (2) product-first mindset (website.com), and (3) public willingness to share templates and DM for help — all strong triggers for a short, productized outreach offering either technical integration help, a marketplace collaboration, or a targeted use-case conversation.


Prospect Overview

  • Full name and current role/title

    • John Doe — Co‑Founder & CTO at Acme Corporation; Tech Solutions Inc. Certified Expert & Partner (self‑employed partner role).
  • Current company and division

    • Acme Corporation (co‑founder / CTO) — product focus: AI agents for outbound sales systems.
    • Tech Solutions Inc. — Certified Expert & Partner (partner/implementer for Tech Solutions Inc. platform).
  • Professional summary and areas of expertise

    • Builds multi‑agent AI systems for practical business outcomes: lead sourcing, enrichment, personalized outreach, CRM syncs, and integrations (n8n, Tech Solutions Inc., Google Sheets, etc.). Strong practical focus: turning AI prototypes into reliable production workflows for outbound sales and growth operations.
  • Location and background highlights

    • Based in 123 Main Street, City, State 12345. Background: software engineering → growth & ops → AI agent/product engineering and founder roles. Public content shows hands‑on building, client work, and community/marketplace contributions.
  • Education and credentials

    • Linked sources indicate ties to the University of Example (LinkedIn search snippet). Tech Solutions Inc. Certified Expert & official partner credential (listed on LinkedIn and Acme Corporation materials). Confidence: medium for formal education (public references not central in profile); high for Tech Solutions Inc. certification (explicitly listed).
  • Brief career trajectory (high‑level)

    • Started as a software/front‑end developer, moved into growth/operations and automation, then to AI agent engineering. Recent roles: Tech Solutions Inc. (partner/certified expert, Apr 2025 – present) and co‑founder/CTO at Acme Corporation (Aug 2025 – present). Openly builds and publishes AI agent templates and implementations.

Public Presence & Activity

  • Recent LinkedIn posts, articles, and public commentary (highlights from last 6 months)

    • Very active: multiple detailed posts showing agent builds, demos, and product lessons (sample posts):
      • “OpenAI Agent Builder launched — why it won’t replace n8n” (Agent Builder vs n8n analysis) — 2025‑10‑06
      • Demo: agent scraping Google Maps → research → outreach (“Belfort”) — 2025‑10‑02
      • “7 AI Agents in 7 Days” series (many agent drops + templates) — Summer/Fall 2025 (June–Sep 2025)
      • Repeatedly shares agent templates (Artemis, Gatsby, Midas, Hormozi, etc.) and offers them to followers who comment or DM.
    • Tone: pragmatic, engineering + GTM focus, and “build in public” transparent (successes + lessons).
  • Other public social activity (Twitter, Substack, GitHub, Instagram, Dribbble)

    • Substack (example.com): personal essays & creator/fitness reflections (older content; 2024 timestamps). Focused more on personal development and creator journey.
    • GitHub: profile exists (front‑end dev, small follower base), but no major public AI repos discovered.
    • Twitter / Instagram / Dribbble: present but lower signal for professional AI work compared to LinkedIn.
  • Public speaking engagements or panels

    • No explicit recent conference or panel listings found in the scraped sources. Primary format appears to be LinkedIn posts, demos, and Tech Solutions Inc. community content.
  • Published work, patents, or notable contributions

    • No patents located. Major contributions are practical: agent templates published/shared (e.g., Tech Solutions Inc. marketplace mentions) and community demos rather than formal academic publications.

Sources for activity: recent LinkedIn post stream pulled (multiple posts dated Jun–Oct 2025). See Sources & References below for links.


Role, Influence, and Networks

  • Scope of responsibility in current role

    • As Co‑Founder & CTO at Acme Corporation, John Doe appears to own technical architecture, agent design, product engineering, and delivery for clients. As a Tech Solutions Inc. Certified Expert, he implements and builds solutions on that platform for clients.
  • Reporting lines (manager, direct reports, peers)

    • Co‑founder relationship: Jane Smith listed as Co‑Founder & CEO (Acme Corporation). As CTO, John Doe likely reports to/partners with Jane — typical co‑founder structure. No public org chart but small founding team implied.
  • Decision‑making influence (budget, projects, initiatives)

    • High technical decision influence (tools, agent design, integrations). Likely influences technical vendor choices (e.g., Tech Solutions Inc., n8n), product prioritization, and client delivery contracts for Acme Corporation.
  • Professional network highlights (notable connections, partnerships)

    • Active within Tech Solutions Inc. community (templates + marketplace). Engagement with n8n and other automation tooling is frequent. Collaborations: co‑founder Jane Smith; Tech Solutions Inc. product/marketplace exposure.
  • Board or advisory positions

    • No formal board/advisory positions discovered in public sources.

Company Context (as relevant)

  • Company overview (Acme Corporation)

    • Acme Corporation builds AI outbound sales systems and prebuilt agent playbooks that source leads, conduct deep research, personalize outreach (email + LinkedIn), and sync results into CRMs. Positioning: pragmatic agent implementations that produce outcomes rather than prototypes.
  • Key company metrics (public / self‑reported)

    • Website claims (self‑reported): 600+ businesses engaged, 10,000+ trained, case studies with client outcomes (e.g., $180K pipeline for one client, 500+ qualified leads for another). These are company claims (use with caution).
  • How the prospect fits into broader company strategy

    • John Doe drives the technical capability that delivers Acme Corporation’s core product (agents + playbooks). His Tech Solutions Inc. partnership strengthens Acme Corporation’s ability to deploy multi‑agent systems quickly.
  • Company’s recent news relevant to the prospect’s role

    • Public launch messaging about Acme Corporation and several recent demos (June–Oct 2025) announcing new agent builds and public “build in public” campaigns, which John authored.

Opportunities & Strategic Insights

  • Personalised engagement opportunities (interests, pain points, triggers)

    • Interests: practical AI agents (lead gen, outreach automation), Tech Solutions Inc. tooling, n8n integrations, reusable templates that non‑engineers can adopt, marketplace distribution.
    • Pain points he’s publicly called out: agents that sit idle because of setup friction, fragile integrations, and the gap between AI prototypes and reliable execution.
    • Engagement triggers: new agent drops, “build in public” series, Tech Solutions Inc. marketplace features, or Acme Corporation launch announcements. He explicitly encourages DMs for comparisons and demos — good opening.
  • Key motivations and challenges identified

    • Motivations: build tools that reliably save time and produce revenue; scale agent playbooks to non‑technical users; grow Acme Corporation as a productized service.
    • Challenges: onboarding and execution friction (getting agents to produce real outcomes), integration reliability, and ensuring non‑technical teams can use agents.
  • Potential alignment with your objectives (partnership, sale, etc.)

    • If you sell tooling or services that improve agent reliability (observability, integration connectors, CRM syncs), or can help Acme Corporation scale templates into a marketplace/partner channel, there’s strong alignment. John Doe is likely receptive to partner offers, co‑building marketplace listings, or short product trials that reduce setup friction.
  • Strategic recommendations for approaching the prospect

    • Short, specific outreach that references a recent agent or post (e.g., Belfort Google Maps agent, Agent Builder analysis, or the 7‑agent series). Do not open with a generic pitch.
    • Offer one clear piece of value in the first message: a short technical improvement suggestion, marketplace distribution help, or an invite to a brief demo showing how your product reduces the specific friction he calls out (e.g., secure connectors, easier onboarding, monitoring).
    • Use social proof: reference his Tech Solutions Inc. involvement and any relevant mutual tools (n8n, Google Sheets, Tech Solutions Invent).
    • If asking for a meeting, propose a single short outcome-driven agenda: “15 minutes to show a way to reduce agent setup time by X% / avoid common integration breaks.”

Suggested short LinkedIn message examples (tailor before sending)

  1. Connection request (cold, 1 line + mention a recent post)
  • Hi John — I loved your Agent Builder vs n8n breakdown (Oct 6). I build [short description: connector/monitoring tool or partner program] that speeds up agent onboarding — would love to share one idea in a 10‑minute call. Interested?
  1. Follow up after connection (value + specific ask)
  • Thanks for connecting, John — the Belfort Google Maps agent was awesome. I sketched a small tweak that could improve contact enrichment accuracy by ~15% (quick win for scaling). Can I DM the sketch or book 10 minutes to walk through it?
  1. Offer to collaborate / marketplace angle
  • Hey John — congrats on Acme Corporation’s launch. We work with partners to turn templates into one‑click deployables on partner marketplaces (reduces setup time for non‑technical users). If you’re exploring distribution, I can share how we did this for [client] — 15 minutes?

(Each message references specific posts/agents and leads with a single, low‑effort CTA.)


Key Facts & Contacts

  • Public profile links (primary)
  • Company / product
  • Other public links
  • Public contact info
    • No verified public email or phone discovered in open sources during this search. DataBroker Inc. / other data brokers list contact records but were not used to extract direct emails here — use caution and follow data/privacy best practices before contacting via harvested addresses.
  • Additional noteworthy facts
    • Publishes and distributes agent templates publicly and often offers them through comments/DMs, meaning a direct message referencing a template/demo has a high chance of engagement.
    • Tech Solutions Inc. marketplace entries mention artifacts authored by John Doe — he’s familiar with marketplace/distribution flows.

Sources & References

(Information gathered Oct 16, 2025)

  • LinkedIn — John Doe profile (primary): https://example.com/in/john-doe/ — (profile details, roles, public post stream) — confidence: high for role & posts. Data pulled from LinkedIn profile and recent posts (June–Oct 2025).
  • Acme Corporation website (company & team): https://website.com/ — (product, case studies, team bios listing John Doe as Co‑Founder & CTO) — confidence: medium–high (self‑reported company claims).
  • Tech Solutions Inc. — main site: https://example.com/ — (platform referenced; John lists Tech Solutions Inc. Certified Expert & Partner on LinkedIn) — confidence: high for partnership claim via LinkedIn; site had limited scraping content.
  • Recent public LinkedIn posts (sample posts compiled from profile activity): posts dated 2025‑06‑16 through 2025‑10‑06 (multiple agent demos and commentary). Sources: LinkedIn activity stream pulled during profile scraping (posts include agent demos like “Artemis”, “Gatsby”, “Belfort”, “Midas”, and analysis like Agent Builder vs n8n). — confidence: high.
  • Substack: https://example.com/ — (personal writing / creator content) — confidence: high.
  • GitHub profile: https://example.com/ — (front‑end dev profile; limited public AI repos) — confidence: medium.
  • Google search snapshots & marketplace references (various search results pointing to agent marketplace & community posts around Tech Solutions Inc. / Acme Corporation): sample results obtained via queries for “John Doe”, “John Doe Acme Corporation”, “John Doe Tech Solutions Inc.”. — confidence: medium.

Dates & Confidence Summary

  • Date of information gathering: Oct 16, 2025.
  • High confidence findings: current roles (Co‑Founder & CTO, Acme Corporation; Tech Solutions Inc. Certified Expert & Partner); active LinkedIn post stream and themes (agent building, templates, outbound automation); Acme Corporation product positioning.
  • Medium confidence findings: specific education (University of Example appears in search snippets but not fully scraped in detailed profile fields here); company metric claims (self‑reported on Acme Corporation site).
  • Low confidence findings: private contact info, undisclosed org structure or exact headcount at Acme Corporation (not publicly detailed beyond product claims).

If you’d like, I can:

  • Draft 3–5 optimized LinkedIn message variants tailored to different outreach goals (connect, demo ask, partner pitch) and length constraints.
  • Produce a 30–60 second intro script you can use in a voice message or an outreach video.
  • Try to locate verified email addresses or company registration filings (requires permission to query paid data‑broker sources).

Which of the above would be most useful next?

Leonardo + Pluto - LinkedIn Outreach Duo
Add conversation metadata
Send First LI Message
Create scheduled trigger
Leonardo + Pluto - LinkedIn Outreach Duo

Leonardo + Pluto - LinkedIn Outreach Duo

provided an update

I've sent the first LinkedIn message to John Doe and scheduled a check in 20 minutes to see if he has replied. Here's a summary of what I've done:

  1. Researched John Doe thoroughly, learning that he's:

    • Co-Founder & CTO at Acme Corporation
    • Tech Solutions Inc. Certified Expert & Partner
    • Active in building and sharing AI agent templates
    • Recently ran a "7 AI Agents in 7 Days" series
  2. Created a personalized 3-touch message sequence focusing on:

    • His recent content (7 AI Agents series)
    • His expertise with Tech Solutions Inc.
    • His focus on practical AI implementation
  3. Sent the first message that:

    • Acknowledges his work
    • Establishes common ground (Tech Solutions Inc.)
    • Asks an open-ended question about his challenges
  4. Scheduled a follow-up check in 20 minutes to:

    • Check for his reply
    • Send the second message if needed

I'll return in 20 minutes to check for a response and take appropriate next steps based on whether he has replied.

Pluto, the Prospect Pilot performs in-depth research on a prospect and produces a detailed report.

Leonardo, the LinkedIn Luminary sends hyper-personalised LinkedIn DMs to those prospects.


Want to see how this fits into a complete outbound system?

Check us out 👉 https://www.altari.ai/

Or grab a quick call here 📆 https://cal.com/altari/30min 👾


P.S join our free community for more templates, resources and guides 📚 https://www.skool.com/altari

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