Welcome to an online platform designed to encourage meaningful connection and engagement. It eliminates distractions and clutter, allowing users to focus on meaningful conversations and content sharing.
💬 Subreply aims to reduce the impact that social apps have on your time, relationships and self-esteem, while enhancing the positive aspects of connecting with others online. The overall goal is to foster a more meaningful and intentional digital experience that encourages communication and connection.
🏒 Lucian Marin created Subreply for people who enjoy reading and writing, who value creativity and originality over visual, who want to express themselves freely without censorship or filters, and who want to connect with like-mined people from around the world.
Web app install
- Install on Android by adding it to home screen from Chrome
- Install on iPhone or iPad by adding it to home screen from Safari
- Similarly can be installed on Windows, Linux and macOS
Tech stack and donations
- High frequency Vultr VPS running on Ubuntu 24.04 LTS
- Coded in Python 3.12 using Falcon and Django ORM
- Speed up by Gunicorn in front of Nginx, PgBouncer in front of PostgreSQL
- Icons provided by Heroicons, Route 159 font by Sora Sagano
- Donate with PayPal to keep it ad-free and running indefinitely
Features and limitations
- Reverse-chronological order for all feeds
- Unique name handles like 🐢 Keb
- Unique conversation view similar to a chat interface
- Light and dark themes based on OS preference
- Supports links, mentions, hashrefs and hashtags
- Limited to ASCII characters and emojis
- Limited to 640 characters per reply
- Limited to one link, mention, hashref or hashtag per reply
- No support for paragraphs, keeps conversation tidy
- No popularity counters or instant gratification
Keeping things private
- Edit or delete your replies before they are replied to
- Delete received replies before they are replied to
- No redistribution of any data, private or public based on GDPR
- Straightforward and complete account deletion
- Data export in a human readable format