# Jason Staats⚡ (@jasononfirms) on x

- id: koinon:creator:x_jasononfirms
- url: https://koinonlink.com/kol/x/jasononfirms
- schema_version: 1.4

## Identity
- platform: x
- handle: jasononfirms
- platform_url: https://twitter.com/jasononfirms
- website: https://www.jasononfirms.com/apps
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 29347
- following: 280
- posts_total: 19251
- posts_observed: 2
- posts_per_day: 6.443
- account_age_days: 2988
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00201
- best_post_interactions: 59
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI automation in accounting firms, Client proposal generation with AI, Financial data accuracy and reconciliation, Standardized pricing models for accounting services, Legal document summarization using AI, AI tools for accounting workflows
- bio: Former $5M firm-runner, I've now helped over 3k accountants run better firms. Speaker & adviser to AI co's. Newsletter 👉 https://t.co/bm8IzSQBiT

## Audience (inferred)
- status: present
- description: Accountants and accounting firm owners, mainly mid-sized firm operators and practice managers focused on scaling through AI tools
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to automate repetitive tasks like proposal drafting and client onboarding, Facing inaccuracies in financial data tracking, especially crypto transactions, Lacking standardized pricing models that can be scaled across clients, Difficulty in extracting and summarizing complex legal documents like operating agreements
- posts_analysed: 8
- confidence: 0.4

## 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: 91
- authenticity_basis: engagement_observed
- credibility_score: 91
- 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_jasononfirms#1c70118b] 127 Ways Accounting Firms Are Using AI: (https://twitter.com/jasononfirms/status/2072709957212844497)
- [x_jasononfirms#63885bfc] Drafting proposals from meeting transcripts
- [x_jasononfirms#eecc89f1] We built a project proposal calculator
- [x_jasononfirms#cd81c401] Replacing Gruntworx
- [x_jasononfirms#8e310d35] Basis tracking of crypto from GL and CSV trades as Coinbase is often wrong
- [x_jasononfirms#744e2efd] Build a 3 tier pricing proposal artifact based on questionnaires from a client
- [x_jasononfirms#5219f439] Reading and summarizing operating agreements or trust documents
- [x_jasononfirms#3ffaca34] Taking pricing sheets from multi

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, 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=79, 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: 79
- audience_updated_days_ago: 21

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