---
id: ins_each-prospect-gets-scored-based
operator: Prerona Basu
operator_role: 'Penguin-published ghostwriter. Now making B2B SaaS impossible to ignore on LinkedIn | Head of Social @SalesRobot'
source_url: https://www.linkedin.com/feed/update/urn:li:activity:7398765506142449664/
source_type: thread
source_title: 'Stalking is NOT ok'
source_date: 2026-04-10
captured_date: 2026-05-02
domain: [pmm, sales, gtm]
lifecycle: [sales-enablement, outbound]
maturity: frontier
artifact_class: workflow
score: { originality: 3, specificity: 5, evidence: 3, transferability: 4, source: 4 }
tier: A
related: []
raw_ref: raw/linkedin/reactions/linkedin-reactions-2026-04-10.md
---

# Each prospect gets scored 1-10 based on company fit, role relevance, how good their eng
## Claim
Then it's called competitive intelligence and apparently totally legal. We built this n8n workflow that basically monitors every single person who comments on our competitor's LinkedIn posts and it's Added $$$ in new ARR from people who were ALREADY engaging with our biggest rival(s). And I'm giving the whole thing away for free because most of you won't actually do anything with it anyway (prove me wrong 💅)

## Mechanism
And I'm giving the whole thing away for free because most of you won't actually do anything with it anyway (prove me wrong 💅)

## Conditions
Holds when: the operating context matches the post's stated frame (team shape, stage, tooling, buyer type).
Fails when: the practice is lifted into a different stage or buyer context without reworking the underlying mechanism.

## Evidence
> "Each prospect gets scored 1-10 based on company fit, role relevance, how good their engagement actually is."

· Prerona Basu, LinkedIn, 2026-04-10

## Signals
- It watches your competitor's LinkedIn like a hawk.
- Every time they post something
- n8n catches it through RSS feeds and webhooks.

## Counter-evidence
No opposing view in current corpus.

## Cross-references
- (none in current corpus)