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SlideViber
Vibe-code your slides with any agent
Equips your agent with the skill to design 1920×1080 SVG slides and preview them in the browser. You iterate with the agent until you are satisfied and then export to a native fully editable PowerPoint file. Why SVG, not OOXML directly? It's roughly an order of magnitude more token-efficient, it's the vector format LLMs know best from web training data, and it lets the agent draw anything - not just preset shapes. A built-in converter handles the final PPTX export.
Hey Product Hunt,
I built SlideViber because every AI deck I'd seen looked the same - like someone had just filled in a template. I wanted slides where the agent actually designs from scratch.
My first attempt was to have the agent write OOXML directly (the XML inside a .pptx). It was slow, expensive, and the output still didn't look good. That's when I pivoted to SVG. LLMs know SVG far better than OOXML — it's everywhere in training data — it's flexible enough that the agent can invent entirely new slide components instead of recombining presets, and a slide is roughly an order of magnitude fewer tokens than the OOXML equivalent.
So now the flow is: your agent authors each slide as a 1920×1080 SVG, you preview the deck in the browser, you iterate, and only when you say "ship it" does it convert to a native PPTX. Shapes stay shapes, text stays editable, fonts come through. PowerPoint opens it without complaining.
It ships as a Skill: drop the repo into your agent's skills directory, ask for "a 6-slide pitch on X," and go. Twenty-one built-in themes, plus a flow for matching your brand palette.
Two things I'd love feedback on:
- How does the quality of the decks feel — does the output land where you'd want it?
- What else would you want from the Skill?
Code is on GitHub, MIT-licensed. Issues and PRs welcome.
Thanks for taking a look.
About SlideViber on Product Hunt
“Vibe-code your slides with any agent”
SlideViber was submitted on Product Hunt and earned 1 upvotes and 0 comments, placing #94 on the daily leaderboard. Equips your agent with the skill to design 1920×1080 SVG slides and preview them in the browser. You iterate with the agent until you are satisfied and then export to a native fully editable PowerPoint file. Why SVG, not OOXML directly? It's roughly an order of magnitude more token-efficient, it's the vector format LLMs know best from web training data, and it lets the agent draw anything - not just preset shapes. A built-in converter handles the final PPTX export.
On the analytics side, SlideViber competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SlideViber performed against the three products that launched closest to it on the same day.
Who hunted SlideViber?
SlideViber was hunted by Thomas Frei. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SlideViber including community comment highlights and product details, visit the product overview.
Thomas Frei