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Why AI Company Logos Look Like Buttholes (And How To Not)

The viral 'AI logos look like buttholes' meme is back on Hacker News. Here's a hands-on tutorial for founders who want to avoid the sphincter swirl.

7 min readBeginner

The #1 mistake founders make with an AI logo right now: they open Midjourney, type “minimalist tech logo for AI startup, gradient, geometric, futuristic”, and act surprised when the output looks like something a proctologist would recognize on sight.

The “why do AI company logos look like buttholes” discourse resurfaced on Hacker News this month, and every designer group chat is passing around the VelvetShark collage again. Funny meme. But if you’re a founder about to spend $500 on a brand identity, it’s also a warning. Here’s how to reverse-engineer your way out of the sphincter swirl.

Quick context: how the AI logo look happened

Hexagons are 4.6 times more likely to appear in AI logos than in logos generally – nearly matching the 5.4x figure for crypto logos (Fast Company / Emblemetric USPTO analysis, 2023). Fast Company flagged the pattern in 2023, tracing it to OpenAI’s own mark: a “stylized hexagon” with an implied rotation around a central point. One company sets the template. The rest copy it. Repeat for three years.

22 AI startups sharing the same hexagon-swirl-gradient-sans-serif pattern – that’s ebaqdesign’s count from under 10 minutes of searching (as of 2023). The real number is almost certainly higher now. Only DeepSeek and Midjourney escaped the pattern, and both anchor to sea imagery (whale, boat) instead of geometric abstractions. That one clue is what this entire tutorial is built around – hold onto it.

Worth pausing here for a second. Nobody planned for every AI logo to converge on the same shape. It just happened – through imitation, through AI tools trained on the same corpus of logos, through the very human instinct to signal legitimacy by looking like the category leader. The logos aren’t bad design decisions. They’re rational ones. That’s what makes escaping the pattern harder than it looks.

Why AI logo generators default to a swirl (this is the real gotcha)

Prompt Midjourney or DALL-E for an “AI startup logo” in 2026 and you’ll get a circular gradient with a central void. Not because the model is lazy. Because it was trained on the 2022-2024 wave of AI startup logos – which all looked like that. The trend is now self-reinforcing through training data. Every generator has learned that “AI logo” means “puckered swirl.”

Turns out Midjourney has a strong prior here. Superside’s Gen AI Design Specialist noted that Midjourney logo outputs often have a “generic vector logo stock” look and feel, and that generating anything but the default was genuinely difficult. That’s the polite version. The real version: vague prompts collapse straight into the prior, every time.

The hands-on tutorial: 6 steps to a non-swirl AI logo

Step 1 – Ban the words that trigger the swirl

Before you even open a generator, write a blacklist. In your prompt, explicitly exclude:

  • hexagon, circle, swirl, vortex, radial, orbit
  • gradient (or cap it to two flat colors)
  • neural network, node, synapse, brain
  • futuristic, tech – these words map directly to the trained cliché

Every one of these is a train ticket to Sphincter Station.

Step 2 – Anchor to a concrete non-tech metaphor

DeepSeek and Midjourney escaped the pattern by anchoring to something non-abstract – the ocean. Do the same. Pick a real-world object your product resembles: a compass, a wrench, a scaffold, a stitch, a knot. Non-abstract metaphors give the generator something to render that isn’t in the swirl-training-corpus.

Step 3 – Prompt with the metaphor, not the industry

Prompt template:

"Logo mark for [company name], depicting a [concrete object]
rendered in [two flat colors, no gradient].
Flat vector, single weight line, no shading, no 3D.
Style reference: [historical design movement, NOT another tech logo].
Negative: no hexagon, no circle, no swirl, no gradient, no glow."

The docs say add uniqueness cues – AskYourPDF recommends “unique interpretation, avoid cliché symbols, distinctive memorable design, unexpected visual approach” as prompt boosters. It helps a little. Reference a design movement – Bauhaus, Swiss International, Memphis, mid-century American – and it helps more.

Step 4 – Generate 40, throw away 38

Batch generate. Do not fall in love with the first result. The first 30 outputs will still drift toward circles because the prior is that strong. Iterate the negative prompt each round.

Step 5 – Do the trademark check BEFORE the design check

This step is what most founders skip and later regret. If your logo is a hexagon with a swirl, USPTO’s AI-industry class is already saturated with visually confusable marks – the 4.6x hexagon overrepresentation means your “unique” swirl is statistically likely to collide with something already filed. Run a free search on USPTO TESS under your Nice classification (usually class 9 or 42 for software) before you get attached. A distinctive mark is easier to register. A generic swirl is a legal migraine.

Step 6 – The teenager test

Pro tip: Show the draft to a group of teenagers. If they giggle and say it looks like a butthole, believe them. Your board won’t tell you. Your designer’s ego won’t let them tell you. Teenagers will absolutely tell you. (This recommendation comes from Matthew Walthall’s writeup on the trend – it’s included in his Medium piece.)

Common pitfalls (specific to AI-generated logos)

Pitfall 1: Trusting Midjourney’s “logo” style modifier. It was trained on stock logo repositories, which are themselves saturated with the trend. Use “vector illustration” or “woodblock print” instead – you’ll get weirder outputs that are easier to refine into something original.

Pitfall 2: Adding more “AI” cues to look more legitimate. Every particle effect pushes the design deeper into the echo chamber. Subtract, don’t add.

Pitfall 3: Assuming raster output is enough. AI generators produce PNGs. A real logo needs SVG. Trace it, redraw it in Figma or Illustrator, rebuild every curve by hand. Anything less will fail at favicon size.

What actually works right now (as of mid-2026)

Approach Example Why it works
Wordmark only Runway No mark = no swirl
Mascot Hugging Face (🤗) Impossible to confuse for a radial gradient
Concrete object Perplexity (compass-style mark, author’s observation) Metaphor over abstraction
Letterform Slack (#), Netflix (N) Instantly recognizable, registerable

None of these look like anything you’d see in a hemorrhoid cream ad. That’s the whole point.

When NOT to use this approach

If your product is a white-label API and your entire distribution is through developer docs and Discord, the logo genuinely doesn’t matter that much. Ship a wordmark. Move on. Spend the design budget on your docs site.

The anti-cliché approach also costs time. Launching in two weeks? A generic swirl beats nothing. Just plan to rebrand within 12 months – and budget for it now.

FAQ

Is the butthole logo trend actually hurting AI companies?

At the margins, no – users pick tools based on capability. But at the trademark filing stage, visual sameness costs you. USPTO examiners reject confusable marks, and the hexagon class is crowded.

Can I just hire a designer instead of doing this myself?

Yes, and you probably should if the budget exists. The catch: brief the designer with the same ban list and the concrete metaphor from Step 1-2. A designer working from a lazy brief produces the same swirl for $8,000 instead of free. The brief is where the use is, regardless of who holds the mouse.

What AI logo generators are worth using?

Honestly, none of them are great for original marks. They’re best for exploration – generating 40 rough directions fast. Pick the two least-default-looking ones. Hand those to a human designer (or your own Figma skills) to redraw as clean vectors. Think of the generator as a sketch pad, not a production tool. What you’re buying is speed of iteration, not quality of output – and that distinction matters a lot when you’re on attempt 35 of a negative-prompt loop.


Do this next: Open a new doc. Write down three concrete real-world objects your product resembles – not “AI,” not “intelligence,” actual physical things. Feed those into your generator with the Step 3 template. If the first batch still looks anatomical, add another item to the ban list and go again.