Leonardo + Pluto - LinkedIn Outreach Duo

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?

2. 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?

3. 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)
  • LinkedIn profile: https://example.com/in/john-doe/ (primary source for role & posts)
• Company / product
  • Acme Corporation: https://website.com/ (company site, team & product positioning)
  • Tech Solutions Inc.: https://example.com/ (platform; John listed as Certified Expert/Partner on profile)
• Other public links
  • Substack: https://example.com/ (personal essays / creator content)
  • GitHub: https://example.com/ (front‑end profile)
  • Twitter handle (profile): https://example.com/ (low signal for AI work)
• 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?

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.