I

I created a 2025 Wrapped for WhatsApp Conversations

Hacker News

I created a 2025 Wrapped for WhatsApp Conversations

Hey HN! As I sat to write my 2025 reflection, I realized one thing I was missing was a ‘year wrapped’ for my relationships — I got my music, got my photos, got my fitness wraps — but what about my relationships? Specifically, I wanted to figure out what my text conversations say about my relationships and myself, and if there’s been evolution throughout the year. Who reaches out more? What’s our tone and conflict resolution? What were our month by month successes and conflicts? So I built an app that analyzes WhatsApp conversations (.txt files) and surfaces the patterns — using Anthropic’s API for the AI-generated analysis and Instant as my database. It’s called Text Unwrapped. You sign up, and upload a conversation from WhatsApp. That’s sent to Anthropic's Claude AI with a bunch of different prompts. Here are some of the things you get: - Relationship score & synopsis on overall communication - Personality Profiles (Myers Briggs, tone analysis, top themes & emojis) - A month-by month timeline, outlining key texts and themes for that month - Actionable insights for each person - A deep dive on a topic of your choice (say you want to dive into defensiveness or avoidance) - POVs from different schools of psychology, like CBT and Jungian You can try this yourself. I made it so each sign up gets 1 free credit (1 credit = 1 conversation analysis). I am not a technical person: I vibe-coded this. I used Claude Code (Opus 4.5), and Instant as the backend. I’ve been playing around with making apps for the last few years, but it was always hard to make a leap. As of this March, I was able to start turning a lot of my passion projects into real ideas. I’ve made a few personal apps, but this is the first one I wanted to share on HN. It took me about 3 days to build this. Once I had a strong spec in place, I needed to make very little changes to Claude (mainly upgraded the design and double checked permissions). Outside of that, Instant was a big help: Claude was able to use it and add auth in less than 2 minutes. The hardest part was adding Stripe - but mainly because I hadn’t done this before. Claude Code guided me through the Webhook setup, and the main challenge was listening to the ‘checkout complete’ to validate payment and add credits to the user. I know privacy is a big concern here. For what it’s worth, I don’t store the actual conversation file — it’s deleted as soon as the conversation analysis is completed. I only store the analysis in the database. Hope you enjoy it!

Share card

Actual performance

7points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, apps, user · Missing: mac, agents, macos
93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, apps, month · Missing: mobile apps, ios, entrepreneurs
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ne
NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NewsFreak: A newsreader I initially created for myself

Hacker News1
I
I created a toothbrush that docks and charges without wires42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I created a toothbrush that docks and charges without wires

Hacker News2
I'
I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm tired of corrupt US politicians, so I created this

Hacker News334
Cr
Created Gapsly, Now What?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Created Gapsly, Now What?

Hacker News2
St
Stumpy – StumbleUpon Re-Created45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stumpy – StumbleUpon Re-Created

Hacker News3
My
My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My grandfather died so I created RIP

Hacker News1
Wh
Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why I created Picket

Hacker News1
GitHub Wrapped 2025
GitHub Wrapped 202546%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Year in Code 2025

Product Hunt+310Open Source
In
Integer Factors Wrapped on a Sphere46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Integer Factors Wrapped on a Sphere

Hacker News19
Ne
Netflix Wrapped60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Netflix Wrapped

Hacker News1