# Dimitar Angelov (@dimitarangg) on x

- id: koinon:creator:x_dimitarangg
- url: https://koinonlink.com/kol/x/dimitarangg
- schema_version: 1.4

## Identity
- platform: x
- handle: dimitarangg
- platform_url: https://twitter.com/dimitarangg
- website: http://synergyscale.co
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 6107
- following: 443
- posts_total: 4429
- posts_observed: 20
- posts_per_day: 4.742
- account_age_days: 934
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00295
- best_post_interactions: 18
- 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 outbound systems on email/LinkedIn/X, turning cold leads into booked sales calls, AI omnichannel outbound automation, why cold outreach fails at the infrastructure level
- bio: running b2b outbound systems on x/email/linkedin

## Audience (inferred)
- status: present
- description: B2B sales professionals, founders and outbound teams running cold outreach on email, LinkedIn and X
- roles: sales
- seniority: practitioner
- pain_points: cold outreach infrastructure failing before any email is sent, inability to scale lists to 1M+ leads and book consistent sales calls, lack of working omnichannel AI systems that deliver 30+ calls per week
- posts_analysed: 5
- confidence: 0.4

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

## Quality signals
- authenticity_score: 73
- authenticity_basis: engagement_observed
- credibility_score: 73
- 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_dimitarangg#211a9af6] how to manipulate 1,000,000+ cold leads into booking a sales call with you https://t.co/nUBFd9thFI (https://twitter.com/dimitarangg)
- [x_dimitarangg#afe9ee9b] https://t.co/vPN0RWWmPQ
- [x_dimitarangg#f0908b76] the new AI outbound omnichannel system booking us 30 calls/week: https://t.co/zt5V7wAGOi
- [x_dimitarangg#22070aac] https://t.co/9o5rDvbF5j
- [x_dimitarangg#0b8285a7] 90% of cold outreach fails before a single email gets sent. let me explain why: the copy was never the problem. the list was never the problem. the sending infrastructure was never the problem. the offer was the problem. most B2B agency offers were stress-tested against warm traf

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, 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=77, 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: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 8
- 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_dimitarangg
- Request removal: https://koinonlink.com/claim?k=x_dimitarangg
- Terms: https://koinonlink.com/for-ai