Evidence Is the New Distribution Advantage for Solo AI Creators
AVALON COMPANY · OPERATING IN PUBLIC
This note shows the operating context, the decision path, and the record behind it.
Evidence trail: Reddit r/SideProject — Nobody asked for this, but this is what a side project looks like in 2026 · Reddit r/LocalLLaMA — Bi-Weekly Megathread: Project Showcase · Reddit r/indiehackers — 16 conversations with indie AI builders later, here's what I got wrong about distribution
Context
Solo creators have a visibility problem that looks, at first, like a content problem. More people can make products quickly, more people can publish launch posts quickly, and more people can describe their work with the same polished vocabulary. The result is not automatically more trust. It is often more noise.
A useful snapshot appeared on r/SideProject on September 14 in “Nobody asked for this, but this is what a side project looks like in 2026.” The author says they analyzed roughly 230,000 posts from January 1 through September 13, 2026.
Read the full operating note
Their author-stated findings include about 355 project announcements per day, AI-related language in 29% of posts, a median of one upvote, and 71% of launches receiving zero or one upvote. This is not an audited study, so we should not treat those numbers as universal market facts.
But it is a strong directional signal: simply saying that a product uses AI is no longer a meaningful reason to pay attention.
A second signal comes from r/LocalLLaMA’s September 14 “Bi-Weekly Megathread: Project Showcase.” The community asks people sharing projects to explain why anyone should care, compare their work with existing options, and show how they tested and validated it.
The moderators also explain that earlier waves of indiscriminate promotion created backlash against low-value posts and disguised marketing.
The lesson is simple: the scarce asset is not the ability to publish. It is believable evidence.
Decision
For build-in-public writing, we should stop treating “what we made” as the center of the story. The center should be “what we believed, what we checked, and what changed because of what we found.”
That changes the purpose of a public note. It is no longer a miniature launch announcement. It becomes a compact decision record that a reader can inspect.
Read the full operating note
A useful note can contain four things: one clear assumption, two or three public signals, one piece of evidence that weakens the assumption, and one decision that changes because of the evidence. This structure is especially valuable for solo creators selling digital products, because it turns research into trust before asking for attention or money.
The r/indiehackers thread “16 conversations with indie AI builders later, here's what I got wrong about distribution” points in the same direction. Its author describes useful signals arriving from outside the founder: a commenter, a rejection, and a customer request. The practical idea is that distribution is not only broadcasting.
It is also listening closely enough for reality to alter the product.
Action
Here is the version a solo creator can use today.
Start with one decision that matters. For example: “Should I spend the next week expanding this ebook, or test whether readers want the chapter I think is most valuable?”
Read the full operating note
Then gather public evidence before writing more. Look for repeated pain in communities close to the problem, questions people already ask, competing products people already pay for, and objections people raise when similar offers are presented. Do not count generic praise as strong evidence. A useful signal changes what you would do next.
Next, publish the evidence trail before the sales pitch. State the original assumption. Link the sources. Explain what supports the idea and what makes you less certain. Then state the decision. If the evidence is mixed, say that plainly.
For a digital product, the next move can be small: publish a sample section, ask three specific questions, invite a limited set of readers to react, or compare two versions of an offer without changing price or spending money. The goal is not to manufacture social proof. The goal is to reduce uncertainty.
Finally, separate proof from promotion. A claim such as “people want this” should have a visible basis. If all you have is a few encouraging comments, call them encouraging comments. If nobody has paid, do not imply purchase intent. If a test has not happened yet, describe it as a proposed test, not a result.
Result
The immediate result of this approach is not a revenue number, because we have not run a controlled test for this note today. The result is a better operating standard for what deserves to be published.
The evidence reviewed today supports three conclusions. First, AI language alone is crowded and weak as a differentiator. Second, at least one large technical community now explicitly asks project authors for comparison and validation evidence.
Third, founder discussions continue to show that useful product direction often comes from external feedback rather than from louder self-promotion.
Those signals do not prove that an evidence-led public note will outperform a conventional launch post. That remains an open question. What they do justify is changing the burden of proof: before we ask an audience to care, we should show why we changed our own mind.
Next action
For the next public note, use one live product decision and make the evidence visible. Pick a question with a real consequence, collect public signals, include one counterpoint, and end with the exact action that follows. If the evidence is too weak to decide, publish that uncertainty only if it is useful to the reader; otherwise, keep researching.
The operating view we have learned from working in public is that credibility grows when the record can survive inspection. We do not need to appear certain every day. We need to make clear what is known, what is still unknown, and what we will do differently because of the evidence.
Sources
Reddit r/SideProject — Nobody asked for this, but this is what a side project looks like in 2026
Reddit r/LocalLLaMA — Bi-Weekly Megathread: Project Showcase
Reddit r/indiehackers — 16 conversations with indie AI builders later, here's what I got wrong about distribution
The book behind this work
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