captivate
leftonread
captivate | leftonread | |
---|---|---|
6 | 13 | |
76 | 160 | |
- | 0.6% | |
6.9 | 3.5 | |
about 1 month ago | 2 months ago | |
TypeScript | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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captivate
- Side Project Turned Into Incredible Visual & Lighting App
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New Lighting & Visuals App - Free & Open Source
Ahh I'm sorry! Feel free to open an issue on github and add the logs. I want to remove any friction that might get in the way of contributions!
leftonread
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Show HN: Year in Text (open-source Spotify-Wrapped for iMessage)
Left on Read is an open-source iMessage analyzer for Mac Desktop that I helped build. Learn your top words, emojis, group chats, contacts, and relive your funniest messages. We also built a "Your Year in Texts" experience (think 'Spotify Wrapped' for iMessage). No data ever leaves your computer and we are proudly open-source: https://github.com/Left-on-Read/leftonread
The app is free to try, but in order to keep the lights on, we charge $2.99/month for premium features (such as filtering and sentiment analysis charts).
Left on Read works by copying the chat.db sqlite file on your Mac found at ~/Library/Messages. This is why we need request full disk access. We then run queries on it and display graphs with react chart.js.
We've happily seen a lot of people entertained by our app thanks to some viral Reddit and Tik Tok posts that we've done.
We built this project for fun, so thanks for your support and any feedback is welcome.
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Message frequency by daytime for some of my chats [OC]
I get your concern. We take privacy and security super super seriously, which is why the app is entirely open-source. In other words, you can see all the code that the app uses. Let me know if any more questions: https://github.com/Left-on-Read/leftonread
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I built an open-source text message analyzer - AMA!
The short answer: the electron app itself took about 1.5 months with two people working on it full-time to get to a “minimum awesome product” state. Our Github contribution graph would probably tell the most accurate story.
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[OC] Texting Habits with my Girlfriend Post-Long Distance
Ah, so I filter out traditional stop words - all the code for this is open-source and can be downloaded as a Desktop app found here.
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Texting Habits with my Girlfriend Post-Long Distance
To visualize this data, I used my own app, Left on Read. My friend and I ended up reworking the original web-based platform into an open-sourced desktop app that runs offline - security & privacy first! You can check out the code here on Github
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I built an open-source Spotify Wrapped for Text Messages
This project is a ton of fun, so wanted to share! Using Electron, React, Typescript, and sqlite, I built an open-source Desktop app that analyzes iMessages and curates a Spotify wrapped-like experience. You can download it here or check us out on github. Let me know if any qs. It’s entirely open-source and we do not store your data. The beauty of a Desktop app: the data never leaves your computer!
What are some alternatives?
deskreen - Deskreen turns any device with a web browser into a secondary screen for your computer. ⭐️ Star to support our work!
electron-react-boilerplate - A Foundation for Scalable Cross-Platform Apps
bluebubbles-server - Server for forwarding iMessages to clients within the BlueBubbles App ecosystem
midishare - Simple peer-to-peer audio and midi streaming for experienced and aspiring musicians
electron-react-webpack-typescript-2024 - Electron React Webpack Typescript Boilerplate with Custom Window and Titlebar Menus.