133 Interest Score
20 Discussions
0.15 Engagement
Aug 2025 Launched

Transform your SMS conversations into actionable insights with AI analysis. Import your Android SMS backup, get sentiment analysis, topic identification, and smart reply suggestions. All data stays local for privacy. Built with React + TypeScript.

What the Community Said

I wanted to analyze my own text messages and get insights over the entire history with an LLM. I couldn't find any tool out there that did anything similar and got tired of waiting. This is still an early prototype. It only works for messages exported from Android from SMS Backup & Restore. But I plan to get it working for Whatsapp messages next since you can easily export chats from there. Drop your suggestions for anything you'd like in here.

— [REDACTED]

Neat turning raw chats into actionable insights is super useful. Curious how you capture context across threads and surface signals without adding noise. We’re on Product Hunt today as well feel free to swing by.

— [REDACTED]

Just tried Convo, and I'm impressed! It's like having a personal assistant for your text messages. The sentiment analysis and topic identification are spot on, and I love that all the data stays local privacy matters. Can't wait to see it support WhatsApp next. Great work, team!

— [REDACTED]

Interesting product. I can definitely see a use case here, businesses running on WhatsApp could find this handy. Congrats on the launch!

— [REDACTED]

I know this is totally random but I just want to say I love the logo lol - it is very satisfying to look at 🤣 Congrats on the launch and cool idea!

— [REDACTED]

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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