Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.

Re-enable YouTube Miniplayer on COPPA-flagged (supposedly kids) videos.

Free privacy policy, terms of service, and cookie policy templates. GDPR, CCPA, COPPA, LGPD compliant. 9 ready-to-use templates for websites, apps, SaaS, and ecommerce.

Repository for files used in the development of "Beyond COPPA: Analysing Data Safety Across All Age Groups in Mobile Apps"

LucianoTheWindowsFan's website

K-12 safe AI tutoring platform — privacy-first, fully offline, backend-enforced content filtering with parental oversight

Hash-chained event schema + reference verifier for AI tool reads of student records. Bridges CEDS + Ed-Fi semantics to the Kinetic Gain audit-stream. Enforces tokenization, FERPA §99.32 logging consistency, COPPA school-as-agent invariants, Decision Card refs. EdTech-readiness scaffolding, not certification.

TidyQuest — family chore-gamification for iPhone & iPad. Ledger-based economy, co-parent-aware, ages 5–14. SwiftUI + Supabase.

Hash-chained per-state lifecycle record + reference verifier for EdTech AI products navigating 50 state student-data-privacy + state-AI-policy regimes (IL SOPPA, CA AB 1584+AB 2876, TX HB 18, NY ED Law 2-d, VA ChAIPA, CO SB 196, etc.). EdTech-readiness scaffolding, not certification.

MCP server for AI Tutor Card disclosures. Six tools for procurement review, curriculum matching, and FERPA / COPPA compliance auditing of AI tutors. EdTech-flavored extension of the Kinetic Gain Protocol Suite.

AI Tutor Cards v0.1 draft. Disclosure spec for AI agents in an educational role: audience (age, grade, subjects), pedagogy (Socratic / homework_policy / assessment_policy), safety & privacy (FERPA / COPPA / mandated-reporter). Sixth spec in the Kinetic Gain Protocol Suite.

Türkiye + uluslararası hukuki uyumluluk MCP sunucusu (KVKK/GDPR/FSEK/PCI-DSS/COPPA/İYS) — Claude Desktop & Cursor için

[BETA] Unity package for Google Play Age Signals — privacy-safe age restriction flags for Android

Kinetic Gain Protocol Suite — eight open JSON specs for the answer-engine and agent era. Five core (AEO, Prompt Provenance, Agent Cards, AI Evidence, MCP Tool Cards) plus the EdTech trio (Tutor Cards, Student AI Disclosure, Classroom AI AUP). One MCP server, one visualizer, three live properties.

Claude Code skill for integrating the Tuteliq child safety API — SDK setup, endpoint selection, code examples, error handling, and best practices

EdTech-specific profile of the AI Procurement Decision Card v0.3 vault contract. Names FERPA's 7 PII categories (34 CFR §99.3) + COPPA's 10 PI categories (16 CFR §312.2, 2025 refresh) as concrete data_vault_targets exemplars + per-category retention rules. Four-doctrine consent_basis_taxonomy. EdTech-readiness scaffolding, not certification.

AGPL-3.0 reference impl of student-data-access-audit-stream. Lincoln USD × VendorT MathBuddy v3.x trajectory. 2 invariants: FERPA basis enumeration (34 CFR Part 99) + COPPA verifiable parental consent must-precede-event for under-13 (16 CFR §312.4). Kinetic Gain Protocol Suite.

EdTech-specific profile of the AI Incident Card. Maps severity/type fields onto FERPA (34 CFR Part 99), COPPA (16 CFR §312 2025), IDEA+Section 504, Title VI/IX/504 civil-rights, per-state breach-notification, and a 5-grade instructional-impact severity scale. EdTech-readiness scaffolding, not certification.