A weird pattern we noticed after watching dozens of startup ideas.
We’ve been quietly observing public startup ideas over the past few days.
No judging.
No scoring.
Just watching how people react.
A pattern showed up faster than expected:
Some ideas get attention even when explained badly.
Others stay invisible even when explained perfectly.
That gap isn’t about storytelling.
It’s about signal.
So we built a small experiment.
A public billboard where ideas go live with:
minimal context
no pitch decks
no long explanations
Just the idea itself — exposed.
What surprised us wasn’t which ideas were “good”.
It was which ones people couldn’t ignore.
We’re opening more public slots today to keep observing the pattern.
If you’re working on something and you’re unsure whether:
it actually pulls attention
or just sounds good when explained
you can put it up and see what happens.
No promises.
No feedback loops.
Just visibility and real reactions.
--[ https://avenir.reym.tech/billboard
And if you’re curious about the patterns we’re tracking as this grows, there’s a waitlist on the site too.
This isn’t a launch.
It’s an observation tool.
This really resonates. What you’re describing feels like the difference between explanation and signal.
I’ve seen the same thing happen when founders over-optimize for being understood instead of being felt. Perfectly articulated ideas that go nowhere… and messy, incomplete ones that still pull attention because there’s a clear tension or outcome embedded in them.
It’s also interesting that removing decks and long explanations exposes whether an idea has an instinctive hook. If someone needs five minutes of context to care, that’s already a signal in itself.
Curious whether you’ve noticed patterns around what creates that “can’t ignore it” effect...outcome clarity, urgency, specificity, or something else entirely?
This is a really sharp observation. I’ve noticed a similar thing — the ideas that look “less exciting” on paper often win because they solve a pain people already feel weekly/daily, and the buyer already understands the value without education. The fastest indicator I’ve seen is: can the founder describe the problem + user + outcome in one sentence, and can a user say “I need that” immediately. When that’s true, distribution becomes 10x easier.
That’s a very clean way to put it and I think you’re pointing at the same underlying mechanism from a slightly different angle.
The “one-sentence test” is brutal in a good way. When the problem, user, and outcome collapse into something instantly legible, there’s almost no cognitive load on the buyer. They don’t need to be convinced, educated, or walked through a story they just recognize themselves in it.
What’s interesting is that this usually makes ideas look *boring* on the surface. Weekly/daily pain isn’t flashy, but it’s already priced into people’s attention. That’s probably why distribution gets easier: you’re not creating desire, you’re just giving it a name and a path.
A lot of what we’re trying to observe here is exactly that moment of recognition does someone say “that’s interesting,” or do they say “wait, I need this.” The gap between those two reactions is where most ideas quietly die.
that “navbar assumes guidance vs terminal assumes you know what you’re doing” line stuck with me a bit. i get the intent, especially if you’re targeting more technical founders, but i wonder how it plays out after the first visit.
like if someone just lands there cold, are they actually typing commands right away or still scanning around trying to “figure out how to use the thing”? i’ve seen similar patterns where it feels fast once you get it, but that first 30 seconds decides if people bounce.
also curious how often people actually use the command reference vs just defaulting to a couple repeated commands over time. feels like there’s a behavior shift there that’s hard to force
What I find interesting here is that this isn’t positioned as advice or mentorship. It’s closer to an environment where ideas are simply exposed and observed. That feels more aligned with reality than most startup communities, which tend to over-index on encouragement rather than signal.
Exactly — that’s what makes it valuable. When you shift from “encouragement” to observation, you start seeing patterns that actually predict outcomes (clarity of problem, urgency, distribution path) instead of just hype. Signal is way more useful than motivation when you’re deciding what to build.
Exactly. And that shift changes *who* the process is actually useful for.
Encouragement feels good, but it’s a lagging indicator — it mostly reflects social politeness or excitement about possibility. Observation, on the other hand, starts surfacing leading indicators: whether the problem is already felt, whether urgency exists without explanation, whether there’s an obvious path for the idea to travel through distribution.
Once you look at ideas through that lens, a lot of things become predictable in hindsight. You can often tell which ones will stall long before anything is built, not because they’re bad, but because the signal just isn’t there yet.
That’s the part we’re most interested in — not motivating people to build more, but helping surface which ideas are actually *ready* to be built now.
Minimal context is uncomfortable, but that discomfort might be useful. When explanations are long, it’s hard to tell whether people are responding to the idea or just the narrative around it. Stripping things back forces the idea to carry more of the weight on its own, which is probably closer to how markets behave.
The point about ideas being “hard to ignore” really stands out. I’ve built things that people said were interesting, but no one actually cared enough to engage with. In hindsight, that lack of pull was the real signal. This kind of experiment feels like a way to confront that earlier instead of months down the line.
I like the framing of this as observation rather than validation. Most early feedback loops are biased by politeness, context, or the founder’s ability to sell. Removing those layers might feel harsh, but it probably surfaces signals that are usually buried under “nice idea” responses. Curious how people will react once more ideas are visible.
This actually maps to something I’ve noticed over time but never articulated well. Some ideas generate curiosity even when they’re clumsily explained, while others sound great in theory yet don’t provoke any reaction. That difference feels less about presentation and more about whether the idea taps into a real tension people already feel. Interested to see what patterns emerge when explanation is stripped down this much.
But... it looks like AI slop, it sounds like AI slop, is it an AI slop??
Fair call.
It probably *does* read a bit too clean.
This wasn’t meant to be a polished “content post” it’s us trying to describe an observation without over-framing it. In hindsight, that can come off as synthetic instead of conversational.
The actual experiment behind it is messy and very human though. We’re still figuring out how to talk about it *without* sanding down the edges.
Appreciate you calling it out — that signal matters more to us than pretending it landed perfectly.