# Legitt AI (@Legitthq) on x

- id: koinon:creator:x_legitthq
- url: https://koinonlink.com/kol/x/Legitthq
- schema_version: 1.4

## Identity
- platform: x
- handle: Legitthq
- platform_url: https://twitter.com/Legitthq
- website: https://legittai.com/
- country: United States
- entity_type: creator
- person_id: koinon:person:linkedin_harshdeeprapal

## Reach
- followers: 502
- following: 62
- posts_total: 819
- posts_observed: 1
- posts_per_day: 0.507
- account_age_days: 1614
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01594
- best_post_interactions: 8
- 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: saas
- category_confidence: 0.2
- category_source: derived_from_discovery_path
- topics: AI-powered contract management, Document automation, Business operations efficiency, Legal document tracking, AI-native business tools
- bio: Your Assistant for Creating, Signing, Automating & Tracking important business documents. 

Never miss a deadline. Never pay a fine. Never face a penalty.

## Audience (inferred)
- status: present
- description: Business professionals managing contracts and legal operations, especially in startups and small to mid-sized enterprises
- roles: ecom_ops
- seniority: practitioner
- pain_points: Missing contract deadlines leading to fines or penalties, Difficulty in tracking and managing multiple business documents across teams, Lack of automation in contract creation and signing workflows
- posts_analysed: 5
- 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: 65
- authenticity_basis: engagement_observed
- credibility_score: 65
- 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_legitthq#f3e2b300] Why Contracts? (https://twitter.com/Legitthq/status/2069282471716532336)
- [x_legitthq#6b38e80b] That's our founder-story!
- [x_legitthq#a9990d0f] Introducing Legitt AI 5.0 Beyond CLM. Welcome to the AI-Native Contract Operating System. 🏭 Industry Intelligence 🤖 Lana AI 2.0 ⚙️ AI Agents 🧾 Invoice Repository Analyzer ✍️ Context-Aware Drafting & Renewals 🔧 No-Code Workflows 📊 Executive Dashboards Contracts are no longer 
- [x_legitthq#d56b335f] Hey @nikitabier - It's clearly visible in the post that @coach_hannahrae has hacked Harshdeep's account. Why is she still active on the platform with 24K+ followers? It's been almost 24 hours that we raised a request to recover the account, why should it take so much time?
- [x_legitthq#e36f6b49] Hi All, The X account of our founder & CEO, Harshdeep Rapal has been compromised. If you get any DM from Harshdeep's account, ple

## 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=28, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=28, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=28, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=88, 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=88, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=127, 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=88, 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=127, 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=127, method=platform_profile

## Freshness
- profile_checked_days_ago: 127
- content_analysed_days_ago: 88
- audience_updated_days_ago: 28

## AI retrieval
- indexing_requests: 7
- 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_legitthq
- Request removal: https://koinonlink.com/claim?k=x_legitthq
- Terms: https://koinonlink.com/for-ai