
What Brandon Thinks is an AI-powered conversation analysis tool designed to help you understand the bigger patterns hidden inside your WhatsApp and iMessage chats.
Instead of trying to "read someone's mind," the tool focuses on observable communication patterns such as interest, effort, consistency, tone changes, mixed signals, and follow-through .
What can it analyze?
Interest — How engaged does the other person appear across the conversation?
Effort — Who initiates conversations, asks questions, and keeps the interaction going?
Consistency — Does their communication stay steady or change significantly over time?
Mixed Signals — Do their words and actions appear to tell different stories?
Follow-through — When someone talks about plans or intentions, do they actually follow through?
Tone Changes — Identify noticeable shifts in warmth, engagement, or communication style.
How it works
Upload or paste a compatible WhatsApp or iMessage conversation, confirm who is who, and let the AI analyze the overall interaction.
Rather than judging a relationship from one isolated message, What Brandon Thinks looks across the broader conversation to identify recurring patterns that can be difficult to notice when you're personally involved.
For example, one slow reply may mean nothing. But repeatedly avoiding concrete plans, consistently relying on one person to initiate conversations, or showing a noticeable change in communication style can provide much more useful context.
Who is it for?
What Brandon Thinks can be useful for people trying to better understand:
Dating conversations
Situationships
Relationships
Mixed signals
Conversations with an ex
Friendships
Other important personal conversations
The goal is not to make relationship decisions for you or claim certainty about another person's private feelings. Instead, the tool helps organize the evidence already present in your conversations so you can see the interaction more clearly.
You can start with a free preview and explore your conversation from a different perspective.
Try What Brandon Thinks: https://whatbrandonthinks.net/
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