Pluto, the Prospect Researcher

Executive Summary

John Doe is a City, Country–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 (Altari.ai), 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 City, Country. 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 Name (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 (artemnovitckii.substack.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 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 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 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 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)
  • LinkedIn profile: https://www.linkedin.com/in/artem-novitckii/ (primary source for role & posts)
• Company / product
  • Acme Corporation: https://altari.ai/ (company site, team & product positioning)
  • Tech Solutions Inc.: https://relevanceai.com/ (platform; John listed as Certified Expert/Partner on profile)
• Other public links
  • Substack: https://artemnovitckii.substack.com/ (personal essays / creator content)
  • GitHub: https://github.com/artemnovitckii (front‑end profile)
  • Twitter handle (profile): https://twitter.com/novitckii (low signal for AI work)
• Public contact info
  • No verified public email or phone discovered in open sources during this search. RocketReach / 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 — he’s familiar with marketplace/distribution flows.

Sources & References

(Information gathered Oct 16, 2025)

• LinkedIn — John Doe profile (primary): https://www.linkedin.com/in/artem-novitckii/ — (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://altari.ai/ — (product, case studies, team bios listing John as Co‑Founder & CTO) — confidence: medium–high (self‑reported company claims).
• Tech Solutions Inc. — main site: https://relevanceai.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://artemnovitckii.substack.com/ — (personal writing / creator content) — confidence: high.
• GitHub profile: https://github.com/artemnovitckii — (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 “Artem Novitckii”, “Artem Novitckii Altari”, “Artem Novitckii Relevance AI”. — 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 Name 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?