# DJ (@mostlydj) on x

- id: koinon:creator:x_mostlydj
- url: https://koinonlink.com/kol/x/mostlydj
- schema_version: 1.4

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

## Reach
- followers: 544
- following: 301
- posts_total: 601
- posts_observed: 1
- posts_per_day: 0.101
- account_age_days: 5978
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.02206
- best_post_interactions: 12
- 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: 0.98
- category_source: derived_from_recent_content
- topics: AI Agent与embodied agents构建, LLM集成与OpenRouter等工具对接, 自建ChatGPT类应用与fine-tuning, AI产品上线与增长（Product Hunt、Ben's Bites）, AI工具功能迭代与用户反馈
- bio: building an army of myself

## Audience (inferred)
- status: present
- description: AI developers and solo hackers focused on building custom AI apps, agents, and tool integrations
- roles: dev
- seniority: practitioner
- pain_points: Integrating multiple LLM services and databases into self-built applications, Implementing advanced features like streaming, threads, and fine-tuning, Gaining user traction and feedback after product launch, Handling model bias testing and real-world deployment constraints
- posts_analysed: 21
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: engagement_observed
- credibility_score: 53
- 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_mostlydj#46f2feff] https://t.co/qkwKUGq0Ur (https://twitter.com/mostlydj/status/2065809868938997926)
- [x_mostlydj#b7ec3abb] https://t.co/NXRSbgl2Vt
- [x_mostlydj#324cff1d] https://t.co/7AI1DZJYai
- [x_mostlydj#26c34bc6] good teachers answer your questions, great teachers question your answers.
- [x_mostlydj#1c236fa6] https://t.co/GiNMDJMTjG
- [x_mostlydj#399a00aa] blown away with the love from our customers at @retune_so! https://t.co/F3Iy9xsbGp
- [x_mostlydj#bc9483a2] Gonna change my role to Chief Hype Officer 🤔 https://t.co/BZIKGRG0n6
- [x_mostlydj#acfc8bfc] Integrated @openrouter with @retune_so and our customers are loving this! Hey @alexatallah, amazing job man! Can't believe why EVERYONE is not talking about openrouter! Quick question: do you / have plans to also support the embedding and fine-tune endpoints? https://t.co/0rYV3bU

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=76, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

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