# Harshil Tomar (@Hartdrawss) on x

- id: koinon:creator:x_hartdrawss
- url: https://koinonlink.com/kol/x/Hartdrawss
- schema_version: 1.4

## Identity
- platform: x
- handle: Hartdrawss
- platform_url: https://twitter.com/Hartdrawss
- website: http://cal.com/hartdraws/30
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 20374
- following: 974
- posts_total: 8315
- posts_observed: 14
- posts_per_day: 3.72
- account_age_days: 2235
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01232
- best_post_interactions: 251
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Apple Search Ads strategy, Paid user acquisition for apps, Predictable app store traffic, MVP growth for startups, App store optimization (ASO) with paid ads, Founder-led product growth
- bio: Founder https://t.co/WsMmQdHtuT ⊹ we build AI powered MVPs & products for founders and startups

## Audience (inferred)
- status: present
- description: Startup founders and early-stage product builders who need predictable user acquisition via Apple Search Ads
- roles: ads
- seniority: practitioner
- pain_points: Struggling to get consistent app store visibility without relying on organic ranking, Frustrated by unpredictable algorithmic changes in app store discoverability, Wasting budget on ad platforms that don't guarantee search intent alignment, Not knowing how to effectively use Apple Search Ads to capture high-intent users
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 90
- authenticity_basis: engagement_observed
- credibility_score: 90
- 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_hartdrawss#149b5ec3] $3,800,000,000,000 (https://twitter.com/Hartdrawss/status/2073731188477325758)
- [x_hartdrawss#50f82a02] That's Apple's valuation.
- [x_hartdrawss#50082b04] They built a tool that guarantees your app shows up when someone searches for exactly what your app does.
- [x_hartdrawss#d36cf2f3] Apple Search Ads.
- [x_hartdrawss#5d20a70a] You don't need to rank organically.
- [x_hartdrawss#73189be9] You don't need to hunt for keywords.
- [x_hartdrawss#7132363a] Apple Search Ads is the only traffic source on the App Store where you pay exactly when someone searches for what your app does.
- [x_hartdrawss#3c04d2b2] No algorithm luck. No v

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=79, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 79
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 14
- 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_hartdrawss
- Request removal: https://koinonlink.com/claim?k=x_hartdrawss
- Terms: https://koinonlink.com/for-ai