https://autovirality.com

Amos Bastian  • Peerlist

Short-form content works, but creating it consistently is painful.Most businesses know they should be posting on TikTok, Instagram Reels, YouTube Shorts, and LinkedIn. The hard part is not understanding that content matters. The hard part is finding ideas, turning them into posts, editing them, adapting them for each platform, and doing it again every day.That is why I built Autovirality.Autovirality is a platform for creating, editing, automating, and scheduling short-form content. It combines a large inspiration library, reusable templates, a slideshow editor, a video editor, social media scheduling, and workflow automation in one place.Think of it a bit like Zapier or n8n for short-form content, but with tools built specifically for creators, founders, marketers, agencies, and small teams.Instead of starting from scratch every time, you can find proven content ideas, adapt them to your brand, generate slideshows or videos, edit the result, and schedule it across platforms.The goal is not just to make content creation easier. The goal is to make it repeatable.With Autovirality, you can build workflows for things like:<ul><li>finding content inspiration</li><li>generating viral-style slideshow posts</li><li>creating short videos</li><li>reusing branded templates</li><li>editing content visually</li><li>scheduling posts across platforms</li><li>turning one content idea into multiple platform-specific posts</li></ul>Short-form content should not feel like a chaotic daily chore. It should feel like a system.That is what I’m building with Autovirality: one place to turn content ideas into finished posts, videos, and scheduled campaigns without manually rebuilding the same process every day.

Autovirality

A Python package for https://understat.com/. Technologies used: - Python (aiohttp, asyncio, json, re etc.).

Understat

A Python wrapper around the Fantasy Premier League API. Technologies used: - Python (aiohttp, asyncio, click etc.).

Utopian.rocks was a Flask application that showed submissions made by Utopian's users to open-source projects, and reviews made by Utopian's moderators. It also included a REST API. Technologies used: - Python, Flask, JavaScript, HTML, SASS / CSS, REST API, MongoDB