# Redact.dev - Wipe your digital footprint (@redactdev) on x

- id: koinon:creator:x_redactdev
- url: https://koinonlink.com/kol/x/redactdev
- schema_version: 1.4

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

## Reach
- followers: 7290
- following: 291
- posts_total: 3473
- posts_observed: 11
- posts_per_day: 1.651
- account_age_days: 2104
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00069
- best_post_interactions: 5
- 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: security
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Mass deletion of social media content, Digital privacy and footprint cleanup, Platform data breaches, Social media data exposure risks
- bio: Mass delete your Tweets, Posts, Messages & more from Twitter, Reddit, Instagram, Facebook, Discord & more for FREE with https://t.co/weug5lKesy

## Audience (inferred)
- status: present
- description: Privacy-conscious individuals and social media users who want to mass-delete old posts and clean their digital footprint across platforms like Twitter, Reddit, Discord
- roles: consumer
- seniority: consumer
- pain_points: Manually deleting thousands of old posts is tedious and time-consuming, Past online activity risks being exposed or used against them, Data breaches on platforms like Discord can leak personal IDs and info
- 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: 64
- authenticity_basis: engagement_observed
- credibility_score: 79
- 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_redactdev#4eadd049] How to delete all your tweets using Redact https://t.co/U5HRj1yIm2 (https://twitter.com/redactdev/status/2023448366957420609)
- [x_redactdev#d7ea7837] last year 70,000+ IDs were exposed because Discord outsourced age verification appeals to a third-party vendor that got breached
- [x_redactdev#d06074d2] https://t.co/Qhx87fNb4K
- [x_redactdev#d807c9e8] What is that... 👀 https://t.co/D45ycVIAcu
- [x_redactdev#6c786f40] Former IDF operative Aaron Cohen went on Fox News claiming he built “the first AI-powered threat detection system.” called "Gideon" It scans the web for “pre-attack” behavior. But what he didn’t say? The tool doesn’t exist. There’s no product. Just a brand, fundraising efforts, a
- [x_redactdev#02961f21] Automat

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, 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=109, 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=109, 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=109, method=platform_profile

## Freshness
- profile_checked_days_ago: 109
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

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