# onsite (@onsiite) on x

- id: koinon:creator:x_onsiite
- url: https://koinonlink.com/kol/x/onsiite
- schema_version: 1.4

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

## Reach
- followers: 4219
- following: 322
- posts_total: 93
- posts_observed: 8
- posts_per_day: 0.053
- account_age_days: 1760
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00024
- 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: ecommerce
- subcategory: dtc_brand
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: ecom scaling and ad strategy, creative testing and volume, hiring and team building for founders, AI tools for store building and content, market timing and international expansion, growth mindset and execution
- bio: 40m+ generated | ecom | ig @onsite

## Audience (inferred)
- status: present
- description: Ecom founders and operators running or scaling DTC/online stores, primarily focused on ads, creative, and growth execution
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Over-hiring too early without being able to evaluate performance, Producing enough high-volume winning creatives to sustain scaling, Managing cashflow while rapidly increasing ad spend, Identifying market timing and winning products in competitive niches
- posts_analysed: 20
- confidence: 0.6

## 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: 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_onsiite#c18ea8e3] I talk to ecom founders all day. The new ones scaling hard early almost always over-hire early. I always give the same advice: Don’t hire until you can do the job yourself. •Write winning ads •Build systems •Retention •Funnels •Email / SMS •CRO •A/B testing •Scaling •Cashflow You (https://twitter.com/onsiite/status/2048948015449411930)
- [x_onsiite#992352fe] Pay attention to what is scaling right now. This store is in the most competitive niche in ecom. 1,100 active ads in a month. 200K+ sessions in the first 30 days. Nobody is testing at that volume. That’s their edge. The easiest way to break in a niche is by pushing velocity. More
- [x_onsiite#99bf73c9] Claude down for anyone else?
- [x_onsiite#1d1c20fd] My buddy totaled his 600LT First thing he did, doubled his budgets Absolute menace https://t.co/SovUvKF2JP
- [x_onsiite#60ed8cb1] We've talked to 20+ 8-figure founders over the past week All had one thing in common Not the product, niche, or spend Every single one was increasing their creative output with AI AI pulling winning ads, generating ads, assets, and pumping out more creative in a day than most tea
- [x_onsiite#225bc962] SVJ at 18 is the new bar
- [x_onsiite#faab241d] Crunch time https://t.co/IvAdQqn4QU
- [x_onsiite#d331707b] So you're telling me AI can now... - scan the market for winning products - build the entire store around it - write every description, email, and upsell - generate the ads and launch them - read the data and kill the losers - handle support and refunds - handle inventory managem

## 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=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=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=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: 76
- audience_updated_days_ago: 76

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