# Shantanu Kulkarni (@_ShantanuKul) on x

- id: koinon:creator:x__shantanukul
- url: https://koinonlink.com/kol/x/_ShantanuKul
- schema_version: 1.4

## Identity
- platform: x
- handle: _ShantanuKul
- platform_url: https://twitter.com/_ShantanuKul
- website: https://pipelinepost.substack.com
- country: India
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1321
- following: 446
- posts_total: 2030
- posts_observed: 1
- posts_per_day: 0.485
- account_age_days: 4184
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00151
- best_post_interactions: 2
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: saas
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: B2B sales discovery mistakes, Product-led growth testing, Revenue team realities
- bio: CMO @SecurityB0at
A decade in B2B revenue teams. Writing what I see!

## Audience (inferred)
- status: present
- description: B2B sales and revenue professionals in SaaS/tech, mainly mid-level sales reps and revenue ops focused on discovery and product-led growth
- roles: sales
- seniority: practitioner
- pain_points: Prospects taking meetings out of curiosity rather than buying intent, Wasted effort from poor discovery assumptions, Inability to complete core product jobs in own starter tier
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: engagement_observed
- credibility_score: 60
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x__shantanukul#5620242a] The biggest discovery mistake isn't bad questions. It's assuming that because someone took the meeting, they want to buy something. They don't. They're curious, or being polite, or benchmarking their current vendor's renewal. Status quo is your real competitor in roughly 60% of " (https://twitter.com/_ShantanuKul/status/2070167634402746545)
- [x__shantanukul#a60cac73] Sign up for your own starter tier. Try to accomplish the single most important job your product exists to do. If you can't complete that job without hitting a paywall or running into a limit, your starter tier is broken. Not because it's too generous. Because it's too stingy to c

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=81, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=81, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=119, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=81, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=119, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=119, method=platform_profile

## Freshness
- profile_checked_days_ago: 119
- content_analysed_days_ago: 81
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 12
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x__shantanukul
- Request removal: https://koinonlink.com/claim?k=x__shantanukul
- Terms: https://koinonlink.com/for-ai