You design a great-looking visual in one tool, and you're still several steps from getting it in front of anyone. Download the file, open your scheduler, upload it again, write a caption, adjust it for each platform, then post. That stretch between finishing a design and going live is where a lot of creative momentum gets lost.
It's the gap Daniel Futerman and his co-founder set out to close when they built a Buffer integration into Hiding Elephant, an AI design workspace for creative teams. This is the story of what they built, why they built it on Buffer's API, and what it changes for the designers, agencies, and social teams who use it.
Meet Hiding Elephant
Hiding Elephant is an AI design workspace built by designers, for designers. It brings AI image and video generation together with professional editing, vector tools, automation workflows, live collaboration, shared assets, and a brand intelligence layer, so e-commerce brands, agencies, and social teams can produce on-brand content faster without giving up control of the details.
Daniel came to it from a creative background. Before Hiding Elephant, he ran a motion design studio called Amigo Motion, where control over the creative process was everything. When AI generation arrived, he was amazed by how fast it was, then frustrated by how little control it gave him.
Take a simple example. Trying to create one specific shirt design, he could describe the general idea in a prompt but never land the exact shapes, layout, and details he had in mind. AI was great for exploration and ideation, but designers still needed a way to use it without losing their craft. So he and his co-founder built Hiding Elephant around that idea: pairing AI's speed with the editing tools and precision designers actually expect.
Why they built a Buffer integration
Daniel is refreshingly blunt about why they built it: content creation only gets you halfway. Hiding Elephant is strong at helping teams make content, but once a visual existed, users still had to get it out into the world, and that meant leaving the platform.
For the teams Hiding Elephant serves, publishing to social media isn't a nice-to-have. A large share of its users are managing brands and posting across channels. For agencies, e-commerce brands, and social teams, sharing on social is how they build awareness, keep products visible, and stay in front of an audience. It bubbled up as friction in the workflow: create in one place, then leave to publish somewhere else.
What the integration does
With the integration connected, a user can generate on-brand images and videos in Hiding Elephant, reframe them for different aspect ratios, and publish to their social accounts through Buffer in a single click.
The brand intelligence layer does more than move files around – it writes the captions too. Hiding Elephant analyzes the image, combines it with what it already knows about the brand's voice, tone, and visual style, and generates platform-specific posts: shorter for X, longer for LinkedIn, and so on.
That's important for teams juggling more than one client. A design agency managing five brands can set up brand intelligence for each one, create on-brand visuals, generate captions in each brand's voice, adapt the content per platform, and send it all straight to the Buffer queue or save it as drafts for review.
Building on Buffer's API
The core integration took less than a week to build. Daniel's team is deep in AI development, so implementation moved fast. Most of the time after that went into testing, QA, and polishing the experience before launch.
The build itself was smooth.
"Buffer's API and documentation are clear, so getting everything up and running was straightforward." says Daniel.
The edge cases took more work. Every platform has its own character limits, supported media types, and publishing rules, so the team built those validations into their workflow to keep publishing simple for users.
Daniel is clear on why they went through Buffer rather than connecting to each platform themselves:
"With Buffer, one integration gives our users access to all their connected social accounts. Going directly to each platform would've meant maintaining separate OAuth flows, rate limits, media specifications, and platform-specific APIs. Buffer abstracts all of that behind a single integration, allowing us to focus on what makes Hiding Elephant unique."
Maintaining publishing across every social platform is an ongoing cost, and it's not where a product like Hiding Elephant wants its engineers to spend time. Buffer takes that off their plate.
How this plays out in practice
The result is a much shorter path from creating something to getting it out. The old flow was create in Hiding Elephant, download, re-upload to Buffer, write the post, then do it all again for the next asset. Now it's create, generate ready-to-share posts, and publish across channels in one continuous flow.
Time saved is the easy one to point to. The bigger one, for Daniel, is consistency. Because the brand intelligence layer is already doing the work, the posts match the brand's voice, visual style, and campaign context, not just the picture attached to them.
What's next
The near-term focus for Hiding Elephant is video. It's one of the strongest formats for getting attention and telling a story, so the team is building out its video capabilities and the workflows around creating higher-quality video.
For the Buffer integration specifically, Daniel sees room to make the workflow smarter over time: syncing with past Buffer posts, tapping into hashtag and performance data, and feeding those insights back into future captions, brand messaging, and the content itself. The goal he describes is closing the loop between creative production and performance, so teams can create faster and make sharper creative calls based on what actually works.
The elephant in the room
There's a reason for the name. When AI first arrived in the creative world, the elephant in the room was the worry that it would replace the people doing the work. Daniel's team took a different position.
"AI should enhance creativity, not replace the creative process. We believe the best results happen when humans stay in control, and AI helps them explore ideas, iterate faster, and bring their creative vision to life."
The Buffer integration fits that view. It leaves the creative decisions alone and takes care of the tedious stretch between finishing a design and getting it in front of an audience. And on a personal note, Daniel has been a Buffer user for years, so this was a partnership he was glad to be part of.
Building on Buffer
Hiding Elephant is one of a growing number of products built on the Buffer API. If you're building a tool and want to give your users social publishing without maintaining a separate integration for every platform, that's what the API is for. You can dig into the docs here: https://developers.buffer.com/
And if you just want a simpler way to publish your own content across channels, Buffer has a free plan built for exactly that.
from Buffer Resources https://ift.tt/FQKwlIO
You design a great-looking visual in one tool, and you're still several steps from getting it in front of anyone. Download the file, open your scheduler, upload it again, write a caption, adjust it for each platform, then post. That stretch between finishing a design and going live is where a lot of creative momentum gets lost.
It's the gap Daniel Futerman and his co-founder set out to close when they built a Buffer integration into Hiding Elephant, an AI design workspace for creative teams. This is the story of what they built, why they built it on Buffer's API, and what it changes for the designers, agencies, and social teams who use it.
Meet Hiding Elephant
Hiding Elephant is an AI design workspace built by designers, for designers. It brings AI image and video generation together with professional editing, vector tools, automation workflows, live collaboration, shared assets, and a brand intelligence layer, so e-commerce brands, agencies, and social teams can produce on-brand content faster without giving up control of the details.
Daniel came to it from a creative background. Before Hiding Elephant, he ran a motion design studio called Amigo Motion, where control over the creative process was everything. When AI generation arrived, he was amazed by how fast it was, then frustrated by how little control it gave him.
Take a simple example. Trying to create one specific shirt design, he could describe the general idea in a prompt but never land the exact shapes, layout, and details he had in mind. AI was great for exploration and ideation, but designers still needed a way to use it without losing their craft. So he and his co-founder built Hiding Elephant around that idea: pairing AI's speed with the editing tools and precision designers actually expect.
Why they built a Buffer integration
Daniel is refreshingly blunt about why they built it: content creation only gets you halfway. Hiding Elephant is strong at helping teams make content, but once a visual existed, users still had to get it out into the world, and that meant leaving the platform.
For the teams Hiding Elephant serves, publishing to social media isn't a nice-to-have. A large share of its users are managing brands and posting across channels. For agencies, e-commerce brands, and social teams, sharing on social is how they build awareness, keep products visible, and stay in front of an audience. It bubbled up as friction in the workflow: create in one place, then leave to publish somewhere else.
What the integration does
With the integration connected, a user can generate on-brand images and videos in Hiding Elephant, reframe them for different aspect ratios, and publish to their social accounts through Buffer in a single click.
The brand intelligence layer does more than move files around – it writes the captions too. Hiding Elephant analyzes the image, combines it with what it already knows about the brand's voice, tone, and visual style, and generates platform-specific posts: shorter for X, longer for LinkedIn, and so on.
That's important for teams juggling more than one client. A design agency managing five brands can set up brand intelligence for each one, create on-brand visuals, generate captions in each brand's voice, adapt the content per platform, and send it all straight to the Buffer queue or save it as drafts for review.
Building on Buffer's API
The core integration took less than a week to build. Daniel's team is deep in AI development, so implementation moved fast. Most of the time after that went into testing, QA, and polishing the experience before launch.
The build itself was smooth.
"Buffer's API and documentation are clear, so getting everything up and running was straightforward." says Daniel.
The edge cases took more work. Every platform has its own character limits, supported media types, and publishing rules, so the team built those validations into their workflow to keep publishing simple for users.
Daniel is clear on why they went through Buffer rather than connecting to each platform themselves:
"With Buffer, one integration gives our users access to all their connected social accounts. Going directly to each platform would've meant maintaining separate OAuth flows, rate limits, media specifications, and platform-specific APIs. Buffer abstracts all of that behind a single integration, allowing us to focus on what makes Hiding Elephant unique."
Maintaining publishing across every social platform is an ongoing cost, and it's not where a product like Hiding Elephant wants its engineers to spend time. Buffer takes that off their plate.
How this plays out in practice
The result is a much shorter path from creating something to getting it out. The old flow was create in Hiding Elephant, download, re-upload to Buffer, write the post, then do it all again for the next asset. Now it's create, generate ready-to-share posts, and publish across channels in one continuous flow.
Time saved is the easy one to point to. The bigger one, for Daniel, is consistency. Because the brand intelligence layer is already doing the work, the posts match the brand's voice, visual style, and campaign context, not just the picture attached to them.
What's next
The near-term focus for Hiding Elephant is video. It's one of the strongest formats for getting attention and telling a story, so the team is building out its video capabilities and the workflows around creating higher-quality video.
For the Buffer integration specifically, Daniel sees room to make the workflow smarter over time: syncing with past Buffer posts, tapping into hashtag and performance data, and feeding those insights back into future captions, brand messaging, and the content itself. The goal he describes is closing the loop between creative production and performance, so teams can create faster and make sharper creative calls based on what actually works.
The elephant in the room
There's a reason for the name. When AI first arrived in the creative world, the elephant in the room was the worry that it would replace the people doing the work. Daniel's team took a different position.
"AI should enhance creativity, not replace the creative process. We believe the best results happen when humans stay in control, and AI helps them explore ideas, iterate faster, and bring their creative vision to life."
The Buffer integration fits that view. It leaves the creative decisions alone and takes care of the tedious stretch between finishing a design and getting it in front of an audience. And on a personal note, Daniel has been a Buffer user for years, so this was a partnership he was glad to be part of.
Building on Buffer
Hiding Elephant is one of a growing number of products built on the Buffer API. If you're building a tool and want to give your users social publishing without maintaining a separate integration for every platform, that's what the API is for. You can dig into the docs here: https://developers.buffer.com/
And if you just want a simpler way to publish your own content across channels, Buffer has a free plan built for exactly that.
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