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Whatory – What a story – your WhatsApp story!
Group chat analytics in real time
Upload your WhatsApp group chats, uncover trends, response times, emoji habits and tell your shared story – secure, local and data-driven.
100% in the browser
No cloud · No servers
Rename participants
Names appear as soon as a chat is loaded.
Participants
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Longest streak (days)
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Avg. messages per day
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Best choice
Video + HTML story – bundle
Your group Wrapped as an animated video.
Plus the HTML story for all charts and details.
Video: 1 year / HTML: all years
By purchasing, I get instant access and waive my right of withdrawal.
Wrapped
One year as a video – sneak peek
Preview ended
Purchase Wrapped to watch the full video.
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Upload a group chat & choose participants for the preview.
Highlights
Automatically generated insights
Personality badges
Six awards around mood, love for facts and pace
Playback Timeline
Experience each month as a mini story
No playback data yet. Upload a chat first.
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Basics
Message volumes, emojis, words and timeline
Messages over months
Messages per person
Word cloud
Top words
Avg. message length
Emotion trend over months
Emoji radar
Top emoji per month
Emoji heatmap
Emoji racing chart
Most used emojis
Top emoji per emotion
Communication
Response times, questions, text-to-emoji ratio, mentions
Response times
Question frequency
Answering questions
Share of voice over time
Text vs. emoji
Rhythm & activity
Times of day, weekdays, ghosting and heatmaps
Time-of-day heatmap
Weekday comparison
Ghosting (questions >2 days)
Day starters & reply rate
Weekday pattern
Reply style
How short, impulsive or fragmented are the replies?
One-word rate
Fragment index
Message bursts
Language characteristics
Hedges, intensifiers and typical sentence starters in comparison.
Hedges vs. intensifiers
Sentence starter diversity
Top sentence starters
Interaction analysis
How strongly do both sides engage with each other in content and timing?
Follow-up question rate
Median response time (min)
Mirroring rate
Emotional dynamics
Who calms things down, who escalates – and how often do moods change?
Smoothing rate
Downturn rate
Mood transition density
Persona profile
Directness, elaboration and spontaneity at a glance.
Persona radar
Directness & elaboration
Spontaneity
Topics
Keyword clusters per category and topic
Top-level categories
Top-level radar
Categories
Category radar
Top-level categories over months
Chat History
Browse the chat timeline and filter by mood in seconds.
Exports & Wraps
Get your results as PDF, video or mini website – everything stays on your device.
PDF download
Clean PDF export of your results. Perfect for sharing, saving and printing.
Includes all years/months.
Wrapped Video
Animated presentation of your personal year in chat form – built for sharing.
1 year per export
Interactive HTML story
Fully interactive export to share or keep. Works like a mini website.
Includes all years/months but remains filterable.
By purchasing, I get instant access and waive my right of withdrawal.
Notes
- Emoji analysis is only possible for chats exported after the WhatsApp update in mid-2014 because older exports contain platform emojis that cannot be parsed.
- Ghosting (questions) counts questions that did not receive a reply within 48 hours (or only afterwards) and shows the share per person. Day starters show how often someone opens a day and whether the other person replies on the same day.
- One-word replies: share of messages that contain exactly one word.
- Fragment index: share of messages containing “...”, “-”/“—” or similar indicators of unfinished thoughts.
- Burstiness: share of own messages sent less than five minutes after the previous message.
- Follow-up rate / mirroring rate: share of replies that end with another “?” or mirror key terms from the other person.
- Median response time: median (in minutes) of response times measured when someone reacts to a direct question from the other person.
- Smoothing rate: share of replies that turn negative emotions into neutral or positive ones.
- Downturn rate: share of replies that flip positive moods into negative emotions.
- Mood transition density: number of detected mood changes per 100 messages.
- Hedge rate: share of messages with modifiers such as “maybe”, “I think” or similar softenings.
- Intensifier rate: share of messages with amplifiers like “super”, “really good” or “totally”.
- Sentence starter diversity: number of distinct sentence starters (without filler words) a person uses.
- Message bursts: share of cases where someone writes again within five minutes.
- Top sentence starters: the five most frequent meaningful starting words per person.
- Transition density: number of detected emotion switches per 100 messages – the higher, the more dynamic the mood.