B2B RESEARCH / GTM INTELLIGENCE

OPERATING ASSET FOR SALE · USD 1,200

Build your
research offering.

AI-Assisted B2B Prospect Research
& GTM Intelligence

For independent B2B consultants and small outbound agencies: acquire a documented process, prompts, templates, and historical workbooks to adapt to your service.

Pre-revenue. No software platform, paying customers, or recurring revenue included.

Historical working materials · Revalidation required before reuse

Concept illustration of methodology, historical workbooks, AI prompts, outreach templates, QA and handover documents
Illustration of the material categories. Actual files are available for agreed pre-purchase review.
For B2B consultants & small outbound agenciesMethodology + research archive + handoverPre-revenue operating asset

01 / WHAT YOU CAN BUILD ON

Know what you’re
buying into.

Best suited to an operator who can sell B2B services, evaluate sources, and adapt the material to a chosen niche. You provide the tools, current research, and client delivery.

01 / OPERATING KNOWLEDGE

Methodology & qualification

Use the documented workflow and qualification framework to structure your own research engagements.

02 / WORKING MATERIALS

Historical research archive

Inspect prior working structures and research decisions. Historical records require deduplication and revalidation.

03 / REUSABLE TOOLS

Prompts & outreach templates

Adapt the AI prompts and email/LinkedIn templates to your product, segment, and voice.

04 / CONTINUITY

QA & handover

Use the QA, deduplication, and handover documents to define a consistent operator review process.

Final file inventory, transfer scope, and any transition support should be agreed with the seller before purchase.

02 / HOW YOU WOULD USE IT

From product context
to a reason to talk.

A structured research sequence. AI helps prepare and compare; the operator checks sources, challenges assumptions, and makes the final call.

  1. 01

    Product analysis

    Understand the product, use cases, and value proposition.

  2. 02

    ICP hypotheses

    Define who might benefit and what would support that fit.

  3. 03

    Account discovery

    Find companies worth a closer look.

  4. 04

    Multi-factor qualification

    Assess positive signals, conflicts, and negative evidence.

  5. 05

    Decision-maker research

    Identify relevant roles and plausible routes to a conversation.

  6. 06

    Proof before pitch

    Present 1–3 researched accounts to demonstrate the approach.

  7. 07

    Outreach & paid engagement

    Personalize the pitch and propose a broader research scope.

03 / THE QUALIFICATION LENS

A company name
is only the beginning.

Generic lists tell you who exists. This workflow asks why an account deserves attention—and what could rule it out.

FIT

Does the use case hold up?

Product and use-case fit, company profile, and economic fit.

TIMING

Is there a reason to act?

Funding and growth, hiring patterns, and strategic changes.

CONTEXT

Can the product belong here?

Technology environment, buyer accessibility, and existing customer or partner conflicts.

COUNTER-EVIDENCE

What would change the decision?

Negative signals, disqualifying evidence, and unresolved assumptions.

View the research logic
Product context informs both supporting signals and reasons to pause; both feed a research brief for human review
Concept illustration: supporting signals and counter-evidence both inform the decision. Sources, dates, and human review remain necessary.

Public overview only. Full prompts and detailed qualification logic are part of the proposed transfer, not published here.

04 / PROOF BEFORE PITCH

Lead with
the work.

Research a small set of relevant accounts before asking a prospective client to commit. Give them something concrete to evaluate: the fit, the evidence, and the reasoning.

Then propose a broader paid research engagement. This is a service model the buyer can operate—not a claim of existing sales or guaranteed conversion.

1–3

researched accounts

The future operator may offer this sample free to a prospective service client. It is not a deliverable included in this asset sale and does not represent proven sales.

Show relevanceExplain the evidencePropose the scope

05 / REAL WORK FROM THE ARCHIVE

From a company
to a specific target.

Three dated examples show account selection, an outreach record, and decisions to pause. Company names identify research subjects—not paying customers or endorsements.

25 AUG 2026 / FEATURED CASE

BernardHQ & FAST Appliance Repair

Outreach recorded as sent

Who was approached: BernardHQ. Who was identified for its market: FAST Appliance Repair. These are different roles; this record does not say the researcher contacted FAST.

BernardHQ and FAST case card. A readable text summary and source follow below.

What the archive records

50+ trucks, operations across five states, scheduling, and technician tracking. Fleet scale and field-service operations supported examining FAST against BernardHQ’s target profile.

What happened next

The handoff notes explicitly record outreach to BernardHQ using FAST as the concrete account example. The original message and delivery were not independently inspected; no reply or conversion is claimed.

Source: 25 August 2026 conservation workbook, “Master Status” and “New Chat Brief”. This is an archive-based summary; the company signals have not been freshly revalidated.

Karumi & Hevo Data25 Aug 2026 · Reserve target

Company approached: Karumi. Target considered: Hevo Data.

Karumi and Hevo Data: recorded signals balanced against reasons to pause. Readable summary follows.

Signals and reservations

The archive records active sales hiring and a customized-demo / sales-engineering motion. It also describes a mature sales operation, making Hevo a weaker fit than earlier-stage GTM targets.

Recorded decision

Hevo remained a reserve target. LinkedIn outreach to Karumi is marked SENT in the register. The message body was not inspected, so this page does not claim that the sent message included Hevo.

Source: 27 August 2026 CandidatePool v2 workbook, “Master Status”, entry dated 25 August. Historical research judgments are not current verified facts. No conversion or endorsement is claimed.

Resend & Blink Co Technologies27 Aug 2026 · Target validation pending

Company researched: Resend. Target candidate: Blink Co Technologies.

Resend and Blink: a fit hypothesis awaiting independent target validation. Readable summary follows.

Recorded context and hypothesis

Notes describe POS, ordering, apps, delivery products, and an existing email-provider footprint. These suggested a plausible email-infrastructure use case; demand to switch was not established.

What remained to check

The next gate was independent target validation and a check for an existing Resend relationship. This dated excerpt establishes neither outreach nor a sale, and does not describe any later status.

Source: 27 August 2026 CandidatePool v2 workbook, “27-08 Verified Research”. The sheet’s title is an archive label; the entry itself is target-pending. Current facts have not been revalidated. No endorsement is implied.

Cards are visual summaries created from historical records, not screenshots of correspondence. These selected examples do not establish that every company in the archive received a complete research-and-target package.

Ask to review representative source materials

06 / ARCHIVE EVIDENCE

Historical files.
Defined counts.

The working collection spans August–September 2026. Counts were checked on 1 October 2026; this verifies archive size, not the present accuracy or commercial quality of the records.

115
Distinct company names31 Aug 2026 · “Unified Prospect Data”

One consolidated register. Names counted, not current qualified leads.

82
Outreach records30 Aug 2026 · “Unified Outreach Ledger”

Historical records in the outreach master workbook.

80
Company records30 Aug 2026 · “Unique Prospect Master”

A second sheet in that same workbook; overlaps with the 82 records above.

136
Spreadsheet sheets28 workbooks · Aug–Sep 2026 collection

Includes overlapping historical versions, not 136 independent datasets.

42
Core files: prior audit scopeReported in the September 2026 buyer demo

Local inventory reconciles to 42. A full content audit was not repeated.

Read these figures in context. Historical versions overlap; these counts must not be summed. They are archive indicators, not current qualified leads, customers, or commercial results. Historical prospect data must be revalidated before reuse.

07 / YOUR FIRST APPLICATION

Start with a narrow scope.

A possible first use: choose one B2B product and segment, adapt the qualification framework, and revalidate a small account sample. Review the result before deciding how to price and deliver a broader service.

Future options include a productized service, niche consultancy, small agency, selective automation, or recurring research. These require your own commercial validation. Software development would be a separate project.

08 / BUYER QUESTIONS

Clear scope.
Clear expectations.

Why buy this instead of building my own process?

You can build a research process independently. The proposed value here is the existing collection of working structures, prompts, templates, and documented decisions. Compare representative materials with what you already use before deciding whether the asking price is worthwhile. No quantified time savings or superior results are claimed.

Is this a SaaS product?

No. This is an AI-assisted research operating asset: methodology, documents, prompts, templates, and historical working materials. A finished software platform is not included.

Does it include customers or recurring revenue?

No paying customer base, recurring revenue, established profit, or guaranteed conversions are claimed. The asset is pre-revenue.

Can one person operate the workflow?

The process is designed for a solo operator or small team. AI assists with preparation; research judgment, source verification, and outreach decisions remain human responsibilities.

Can the historical data be used immediately?

It should be revalidated first. Company information, personnel, funding, technology, and strategic priorities may have changed. Overlapping historical versions also require deduplication.

What is included in the handover?

Handover documentation is part of the proposed package. Confirm the final inventory, transfer arrangements, and any walkthrough or follow-up support directly with the seller.

Are AI subscriptions or a domain included?

No AI subscription, API credit, hosting account, or domain is represented as included in this offer. The buyer should plan their own operating tools.

Can I inspect the materials before buying?

Ask the seller for the English Premium Buyer Demo and a file inventory, then agree any further inspection access. No review period or full-archive access is promised by this page. Full prompts and qualification logic remain private.

What terms still need agreement?

Exclusivity, retained copies, permitted use, handling of any personal contact data, and the duration of any transition support must be agreed before purchase. None is promised by this page.

What languages and markets do the materials cover?

The archive contains English and Russian working materials; the Premium Buyer Demo is in English. Historical records are not presented as complete coverage of any geography, sector, or client base. Ask to inspect the inventory and representative files for your intended market.

09 / AVAILABLE FOR ACQUISITION

Inspect the materials.
Decide on the fit.

The asking price covers the proposed transfer of the methodology, August–September 2026 workbooks, prompt library, outreach templates, QA rules, and handover documents. Review the inventory and agree the final scope before buying.

Ask for the English demo, file inventory, and an agreed representative sample. Mention your service or niche so the discussion can focus on relevance.

Request buyer package

Opens the SideProjectors listing. Contact the seller there;
an account may be required. No request is sent by this page.

ASKING PRICEUSD 1,200

Reasonable offers considered


Pre-revenue operating asset.
No recurring revenue or paying
customer base claimed.

Contact seller on SideProjectors