allcoding1_official
📈 Analytical overview of Telegram channel allcoding1_official
Channel allcoding1_official (@allcoding1_official) in the English language segment is an active participant. Currently, the community unites 78 794 subscribers, ranking 1 627 in the Technologies & Applications category and 3 772 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 78 794 subscribers.
According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 610 over the last 30 days and by -51 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.18%. Within the first 24 hours after publication, content typically collects 0.61% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 718 views. Within the first day, a publication typically gains 478 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as dsa, stack, namaste, javascript, dev.
📝 Description and content policy
Channel description not provided.
Thanks to the high frequency of updates (latest data received on 30 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
if not intervals:
return 0
intervals.sort(key=lambda x: x[0]) # Sort intervals based on start points
merged_intervals = [intervals[0]] # Initialize merged intervals with the first interval
for interval in intervals[1:]:
prev_interval = merged_intervals[-1]
if interval[0] <= prev_interval[1]: # If overlapping with previous interval
prev_interval[1] = max(prev_interval[1], interval[1]) # Merge intervals
else:
merged_intervals.append(interval) # Add non-overlapping interval
total_length = sum(end - start for start, end in merged_intervals)
return total_length
# Example usage:
intervals = [(1, 3), (2, 6), (8, 10), (15, 18)]
total_length_covered = merge_intervals(intervals)
print("Total length covered after merging overlapping intervals:", total_length_covered)