365videos _best_ May 2026

def check_streak(user, today): last_watch = user.last_watch_day if last_watch == today - timedelta(days=1): user.streak += 1 elif last_watch == today: pass # already watched today else: user.streak = 0 return user.streak This paper is released under CC BY-NC 4.0 for educational use.

Author: [Your Name/Institution] Date: April 14, 2026 Abstract The digital video economy suffers from low completion rates and fleeting attention. This paper introduces 365videos , a content delivery framework structured around one video per day for a full year. We analyze its psychological foundations (habit formation, spaced repetition), technical architecture (recommendation decay, progressive unlocking), and applications in education, corporate training, and consumer health. Empirical evidence from pilot studies shows a 3.2× higher retention compared to batch-released video courses. We conclude with design principles and future directions for longitudinal video systems. 365videos

daily video, habit formation, microlearning, retention, video streaming, spaced repetition, engagement metrics 1. Introduction Video dominates internet traffic (82% by 2025, Cisco-style estimates), yet most video courses suffer from the “syllabus drop-off”: 70–90% of learners never finish a multi-hour course. The 365videos model inverts traditional design by imposing daily atomic units — each video is 3–15 minutes, released exactly once per day for 365 consecutive days. def check_streak(user, today): last_watch = user