# Vivo (@vivoplt) on x

- id: koinon:creator:x_vivoplt
- url: https://koinonlink.com/kol/x/vivoplt
- schema_version: 1.4

## Identity
- platform: x
- handle: vivoplt
- platform_url: https://twitter.com/vivoplt
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 12986
- following: 1596
- posts_total: 22038
- posts_observed: 14
- posts_per_day: 61.217
- account_age_days: 360
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00855
- best_post_interactions: 111
- 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: developer career struggles, software engineering interview challenges, toxic tech workplace culture, coding best practices and comments, LLM and AI in programming contexts
- bio: programmer. Sharing my progress, projects, and mistakes.

## Audience (inferred)
- status: present
- description: junior to mid-level software developers, mainly struggling with career growth, imposter syndrome, and toxic work environments
- roles: dev
- seniority: practitioner
- pain_points: Feeling undervalued and overwhelmed as a junior developer, Struggling with poor company culture and outsourcing of hiring processes, Frustration with unrealistic expectations and lack of support in technical interviews, Difficulty in gaining recognition or financial stability early in their dev career
- 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: 74
- authenticity_basis: engagement_observed
- credibility_score: 74
- 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_vivoplt#4b46c10f] is this accurate https://t.co/KOJ53ByIDU (https://twitter.com/vivoplt/status/2063273860754231748)
- [x_vivoplt#cb683908] Started vibe Authoring https://t.co/zhjh5Qq6qr
- [x_vivoplt#1ae4dffb] backend interview question: You deleted the data. You deleted the backups. You deleted the logs. A court order says produce the records. They still find them. Where?
- [x_vivoplt#fb54a517] programmers writing comments 🫡 https://t.co/SWd6Eo6HZH
- [x_vivoplt#9494cb83] The overlap between old Reddit comments and modern LLM responses is hard to unsee https://t.co/fxgxfI7ZW0
- [x_vivoplt#1a920599] junior devs are fucked.
- [x_vivoplt#a019edcd] you know a company is fucked when they outsource hiring
- [x_vivoplt#a681181c] First income as a developer 😭 https://t.co/MrHDms4xob

## 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 77
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 9
- 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_vivoplt
- Request removal: https://koinonlink.com/claim?k=x_vivoplt
- Terms: https://koinonlink.com/for-ai