Cards by Tiny Gods
Turn plain text into social carousels and videos
What it does
Cards turns a quote, thread, essay, or article into social slides. Paste your text, choose a format, adjust the design, and export images or render the deck as an MP4. The core editor is free, with no account or watermark required. Cards keeps your wording intact and uses rule-based splitting instead of AI rewriting.
Create social media carousels from plain text. Paste a quote, thread, essay, or article link, then export images for Instagram, LinkedIn, X, and Stories, or render the same deck as a video for Reels and TikTok.
Paste a quote, thread, essay, or article link. Cards turns it into polished slides with smart splitting and social presets, then exports them as images or renders the whole deck as a video. Core editor, image export, and the motion preview are free. No AI rewriting. The export matches the preview. Turn a rough note into a calm, readable carousel. Keep the point clear, then let the design carry the rhythm. Paste a thread or mini-essay, choose automatic splitting, then fine-tune any slide break before export. Add a header, author, date, or slide numbers. Every exported image follows the same layout. Three simple steps to turn long text into a complete social carousel. Add a quote, thread,…from cards.tinygods.dev
Does the same job
all alternatives →More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com