# Ram Singh Verma (@RamSingh_369) on x

- id: koinon:creator:x_ramsingh_369
- url: https://koinonlink.com/kol/x/RamSingh_369
- schema_version: 1.4

## Identity
- platform: x
- handle: RamSingh_369
- platform_url: https://twitter.com/RamSingh_369
- website: https://www.linkedin.com/in/ram-singh-verma369/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4856
- following: 64
- posts_total: 1193
- posts_observed: 9
- posts_per_day: 0.348
- account_age_days: 3428
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.02368
- best_post_interactions: 115
- 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: ai_tools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Prompt engineering for Claude, Building and automating with AI, LLM development from scratch, AI agent orchestration
- bio: Helping AI tools grow through content and marketing 🚀
Driving user acquisition and visibility 🤖
Save time with AI ⚡
50K+ audience | 📩 Open to collaborations

## Audience (inferred)
- status: present
- description: People learning to use AI tools effectively, especially prompt engineering and agent orchestration, with a focus on practical skills for non-experts
- roles: general_ai
- seniority: learner
- pain_points: Struggling to understand how to write effective prompts for advanced AI models like Claude, Overwhelmed by the complexity of building or understanding LLMs from scratch, Frustrated by the lack of free, high-quality educational resources that are easy to follow, Not knowing how to integrate AI agents into real workflows without deep technical knowledge
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 1
- open_to_collaboration: true
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 82
- authenticity_basis: engagement_observed
- credibility_score: 82
- 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_ramsingh_369#cf9265b7] Anthropic just uploaded a 27-minute video on how to really craft prompts for Claude. Subtitled in Spanish) made by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and save it now. (https://twitter.com/RamSingh_369)
- [x_ramsingh_369#e725b3f2] Claude FULL COURSE 1 HOUR (Build &amp; Automate Anything) https://t.co/UKSuX2KU1L
- [x_ramsingh_369#36712d00] Don't waste 2 years learning to build LLMs like Claude & ChatGPT. Stanford just dropped a 2 hour 34 min course on how to build LLMs from scratch. • 00:00 - LLM tokenization • 25:44 - how LLMs decode user prompts • 35:40 - training pipeline of LLMs • 1:16:47 - LLM architecture fro
- [x_ramsingh_369#3d578508] GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=112, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 77
- audience_updated_days_ago: 20

## 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_ramsingh_369
- Request removal: https://koinonlink.com/claim?k=x_ramsingh_369
- Terms: https://koinonlink.com/for-ai