Signal Snapshot – Generate visualizations of your Signal message data

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This summer I decided to create an analytics dashboard of my Signal data. For those unfamiliar, Signal is a messenger app, similar to WhatsApp, but heavily focused on privacy with their end-to-end encryption. This was initially meant to just be a bespoke dashboard to share with some Signal friends. But as I continued to build it out, I decided to make it into a web app in case others wanted to play around with it too. So here's what I have so far: signalsnapshot.com It's still pretty raw, but maybe some of you will find it fun. Important things to note: This only supports Signal Desktop at the moment In order to use the tool, you need to first decrypt your Signal database. I also wrote a program to handle that, and the app has the necessary documentation on how to use it The app is purely client-side, meaning that your uploaded data never leaves your browser. There is no server, this is a static web page. Nobody but you can see your data. If you're a Signal user and interested in this stuff, check it out! If there's enough demand, I'll build out the analytics a little more, and maybe add support for Signal Android. There’s a ton of meat left on this bone, chat analytics is a cool world. Here's the GitHub if you want to check out the code. https://github.com/ahstewart/signal-snapshot

Visit product View on Hacker NewsSep 23, 2025

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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