# C# Corner (@CsharpCorner) on x

- id: koinon:creator:x_csharpcorner
- url: https://koinonlink.com/kol/x/CsharpCorner
- schema_version: 1.4

## Identity
- platform: x
- handle: CsharpCorner
- platform_url: https://twitter.com/CsharpCorner
- website: https://www.c-sharpcorner.com/
- country: India
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 117510
- following: 59
- posts_total: 90635
- posts_observed: 4
- posts_per_day: 15.752
- account_age_days: 5754
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00001
- best_post_interactions: 1
- 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: devtools
- category_confidence: 0.94
- category_source: derived_from_recent_content
- topics: Weekly tech roundups and trends, Developer continuous learning, AI tools for developers, System design best practices
- bio: Global community of software professionals. Learn. Share. Inspire. Founder @mcbeniwal

## Audience (inferred)
- status: present
- description: Software developers and tech professionals, primarily C#/.NET engineers seeking ongoing skill updates
- roles: dev
- seniority: practitioner
- pain_points: Keeping pace with fast-changing tech trends and tools, Integrating AI into existing development workflows, Advancing system design and architecture skills, Maintaining continuous learning amid daily coding demands
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: engagement_observed
- credibility_score: 93
- flagged_for_review: false
- koinon_bd_grade: B — 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_csharpcorner#c53e4b8b] 𝐖𝐞𝐞𝐤𝐥𝐲 𝐓𝐞𝐜𝐡 𝐑𝐨𝐮𝐧𝐝𝐮𝐩: 𝐓𝐫𝐞𝐧𝐝𝐬 𝐄𝐯𝐞𝐫𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐒𝐡𝐨𝐮𝐥𝐝 𝐖𝐚𝐭𝐜𝐡 𝐓𝐡𝐢𝐬 𝐖𝐞𝐞𝐤 🚀 The pace of innovation isn't slowing down. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐬𝐨𝐟𝐭 (https://twitter.com/CsharpCorner/status/2072992049834741781)
- [x_csharpcorner#91f16c06] 💡 The tech industry evolves fast, but one thing never changes: developers who keep learning stay ahead. Whether it's mastering AI tools, improving system design skills, or becoming a better communicator, investing in yourself always pays off. Our latest article explores practica
- [x_csharpcorner#bb534e3f] 💡 The tech industry evolves fast, but one thing never changes: developers who keep l

## 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=111, 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=111, 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=111, 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: 111
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 11
- 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_csharpcorner
- Request removal: https://koinonlink.com/claim?k=x_csharpcorner
- Terms: https://koinonlink.com/for-ai