# BrandonMarshall.btc (@marshallmixing) on x

- id: koinon:creator:x_marshallmixing
- url: https://koinonlink.com/kol/x/marshallmixing
- schema_version: 1.4

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

## Reach
- followers: 2898
- following: 232
- posts_total: 6385
- posts_observed: 7
- posts_per_day: 1.167
- account_age_days: 5470
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00242
- best_post_interactions: 7
- 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: finance
- subcategory: crypto
- category_confidence: 0.88
- category_source: derived_from_recent_content
- topics: BTC security best practices, 3-2-1 backup rule for crypto, Cold storage vs. custodial exchange safety, AI workflow automation in crypto, Web3 community sentiment tracking
- bio: Building https://t.co/IPEQlmwxJD — Community sentiment intelligence for web3 teams.
 
Co-host of @goodforbtc. Prev: @stacks @trustmachinesco @blockfi

## Audience (inferred)
- status: present
- description: Web3 developers and crypto holders focused on secure asset management and decentralized infrastructure, especially Bitcoin custodianship and backup strategies
- roles: dev
- seniority: practitioner
- pain_points: Struggling to implement reliable, multi-layered backup systems for Bitcoin wallets, Lacking clear, actionable guidelines for securing crypto assets across different environments, Feeling uncertain about the safety of cold storage vs. custodial exchanges, Overwhelmed by the complexity of integrating AI tools into personal or team workflows
- posts_analysed: 5
- 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: 75
- authenticity_basis: engagement_observed
- credibility_score: 75
- 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_marshallmixing#fa6850f5] Nobody is ready to hear this but your BTC was safer on FTX than it was on a Coldcard. (https://twitter.com/marshallmixing)
- [x_marshallmixing#88b39783] https://t.co/U3v7lOoRWK
- [x_marshallmixing#d25ac695] Tech people have known about the 3-2-1 backup rule for years. That same rule should apply to securing your BTC. It's very simple: Three copies. Two different media types. One copy off-site. If you keep all of your BTC on a single hardware wallet (doesn't matter what type) then yo
- [x_marshallmixing#e6f51fd4] I think buzz by @jack may have finally helped me crack the whole "i hired a bunch of ai employees" type of workflow
- [x_marshallmixing#f6ab8dda] https://t

## 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=81, 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=81, 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=81, 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: 81
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 8
- 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_marshallmixing
- Request removal: https://koinonlink.com/claim?k=x_marshallmixing
- Terms: https://koinonlink.com/for-ai