Launched this week
Senior Designers shouldn't be manually-resizing assets ready to run or being aware of TikTok safe zones. PixFit turns 1 key visual into every ad format — brand-perfect, platform-specific, ready to ship.
Forum Threads
We built PixFit originally as an internal tool because seasonal campaigns were killing our capacity
Quick story on why PixFit exists.
We run creative for a lot of brands, and every seasonal moment - Christmas, Easter, any big event where every brand floods the feed with promos, turned into the same bottleneck. Not the ideas. Not the design. The re-adaptation.
Here's the math that broke us: each campaign needs at least 8 pieces (one per placement), and every brand runs at least 4 campaigns at once, different offers, different promos, all live at the same time. So a task that is purely repetitive got multiplied over and over.
The painful part: once you had the creative asset approved (what we call master asset) and ready to run, making the 8 adaptations took roughly as long as making the original. Multiply that across every campaign, across every client, and the effort scales exponentially - for work that adds zero creative value.
PixFit
@luki_notlowkey Great question! In practice, only around -5% of creatives end up needing a human designer, the AI handles the vast majority on its own. And when an escalation does happen, we turn it around within 24 hours, so it never becomes a real blocker. The goal is that you get the speed of automation with the safety net of a professional eye when it truly matters.
Went from watching senior designers burn hours on safe-zone resizing to actually shipping a fallback SLA when the AI can't get it right — that's the part of this I trust. Most tools stop at 'AI does it' and hope for the best. What's the most common reason an output ends up needing the manual pass?
PixFit
@dattesh_dangui It's actually when an output is repositioned in the optimal place according to the overlays, but the user does not like where it ended up!
Tried the tool, works clean!
What about videos? that would be great ;)
PixFit
@timurr_l Love that, thanks for actually trying PixFit it Timur!
Great question on video resizing, we launched as fast as we could and left that feature on the backlog because it was not polished yet, we wanted images to feel bulletproof first.
But video adaptation is 100% where this is heading, it's the most requested thing already.
Want me to ping you when it drops? Your ;) is now officially motivation 😄
Hi Marco! Having a tool to turn 1 idea into multiple ad formats is life saving. I have one question. Do multiple formats have any negative impact in pixel quality? Congrats on the launch!
PixFit
@konstant_gk Absolutely none!
Swytchcode
This tool is amazing. Does it only support TikTok today?
PixFit
@chilaIt supports Meta, Tik Tok and Google and we'll keep enabling more formats!
How does it handle brand fonts and custom typography when generating all those platform variants?
PixFit
@alparslanvfgl Great question! Under the hood, PixFit has a layer that vectorizes the typography from your master creative — so the font is preserved pixel-perfect across every platform variant. At most, text might reflow or reorder to fit a different aspect ratio, but the typeface itself is never substituted or lost. No more 'fallback font' surprises!
PixFit
I lead the creative operations side at Winclap Studio — the team that actually produces the assets.
Before PixFit existed, we had great designers, solid processes, and still spent an embarrassing amount of time on mechanical adaptation work. The kind where a talented person is manually resizing the same creative into 12 formats at 11pm. Not because they lacked tools — because none of the tools truly understood the workflow behind the creative, not just the creative itself.
That frustration is where PixFit started. We built it first for ourselves, tested it with our own production load, and broke it enough times to know what actually had to work.
What I'm most proud of: we didn't ship a tool that promises 100% automation and quietly fails. We designed for the real number — the 70% you can automate confidently — and built a proper human review layer for the rest. That honesty in the product design is what makes it trustworthy at scale.
If your team is producing performance creatives across formats for multiple brands, you'll feel this immediately. Happy to share how we've been running it internally if anyone wants to dig in 🙏