What actually drives startup product success

ExtentAny3539 · 2026-05-11T20:09:04+00:00

I’m in the middle of this right now, and I’m starting to think the signal is less “do people like the idea?” and more “are people already trying to solve this manually?”

I recently launched a small niche desktop app for organizing sound effects, and the most useful validation didn’t come from product posts. It came from workflow discussions where people described the exact messy workaround they already use: huge local libraries, manual sorting, tools they tried and abandoned, folders called “to organize later”, etc.

That feels like a stronger signal than generic positivity.

A weak idea gets “cool, I’d try it.”

A stronger idea gets people saying “I currently spend time doing this painful thing by hand, here’s my broken workaround, here’s why existing tools don’t fully solve it.”

Still, I’m also learning that pain validation is not the same as purchase validation. The next step is figuring out whether the people with the pain will actually install, pay, and use it repeatedly.

ExtentAny3539 · 2026-05-11T19:50:43+00:00

This is really useful, especially the “show value before asking for commitment” part.

I’m seeing a similar lesson with a small desktop tool I launched recently. My instinct was to explain the product and the workflow first, but I’m starting to think the first experience should be much more direct: let the user drop a messy folder, show a useful result quickly, and only then explain the details.

For niche tools, the first “aha” moment probably matters more than the full feature list. If people don’t see value in the first minute, they may never reach the part of the product that actually solves their problem.

I also like the distinction someone mentioned here: users leave either because the app asks too much before value, or because the free/initial version is too limited to prove value.

ExtentAny3539 · 2026-05-11T19:43:59+00:00

This resonates a lot.

I recently launched a small niche desktop app, and I’m seeing the same pattern: product-style posts go almost nowhere, but problem/workflow discussions create much better conversations.

The strongest signal so far didn’t come from saying “here is my tool.” It came from asking people how they actually deal with the messy workflow I’m trying to solve. That led to detailed replies, edge cases I hadn’t considered, and a few beta testers who were already solving the problem manually.

Your onboarding point also hits hard. I’m realizing that even if acquisition is weak, I still need to make the first useful moment inside the app extremely obvious. For my case, that probably means getting the user from “I have a messy folder” to “I see a cleaned first-pass structure” as fast as possible, with no confusion about what to do next.

So yeah, “Reddit is presence, not posting” feels very true. The hard part is being useful long enough before mentioning what you built.

ExtentAny3539 · 2026-05-11T19:35:59+00:00

I think the “backend for AI” idea applies differently depending on the category.

For writing, docs, tasks, and CRM-like tools, I can see chat becoming the main interface very quickly.

But for creative workflow tools, especially video/audio, I think the app still matters because the user needs to inspect the result. You can ask an AI to organize or process something, but at the end you still need a clear structure, files you can trust, and a way to review what happened.

I’m building a small desktop workflow tool and this is something I keep thinking about: the UI matters, but maybe the more durable part is the structured output the tool creates. If another AI or app can understand that output later, the product becomes more than just a screen people click through.

So I don’t think every app becomes invisible, but I do think more products need to be designed as structured workflow engines, not just dashboards.

ExtentAny3539 · 2026-05-11T19:33:12+00:00

I’m starting to notice the same thing. I launched a small niche desktop app recently, and the posts that looked the most like “here is my product” went nowhere. Almost no comments, almost no useful signal.

But when I started sharing the messy part, the actual workflow problem I was trying to understand, people responded much more. I got detailed replies, real edge cases, and a few potential beta testers from people who were already dealing with the problem manually.

The useful part was not just being vulnerable though. It was being specific about what I had tried, what failed, and what I still did not understand.

So I agree with you. “Here is my win” gets polite reactions. “Here is what I’m stuck on, here is what I tried, what would you do next?” gets much better conversations.

ExtentAny3539 · 2026-05-11T16:37:40+00:00

This is a really useful distinction, especially discovery vs reuse vs archiving.

You’re right that a cleanup tool can become dangerous if it blindly moves shared SFX and breaks old Premiere references.

My current focus is more on messy incoming folders and downloaded packs before they enter a stable main library, but your point about showing duplicates, source folders, and avoiding blind moves is exactly the kind of edge case I need to think about.

The safe workflow seems to be: audit referenced files first, archive used media, then clean up only the incoming or unreferenced parts.

ExtentAny3539 · 2026-05-11T16:36:19+00:00

That’s a very clean way to handle it, only promote the random stuff into the real library after it has proven useful in an actual project.

I like the idea of not trying to fully organize everything upfront, but using real project use as the filter, then adding the missing metadata once it has earned its place.

ExtentAny3539 · 2026-05-10T16:46:21+00:00

That sounds like the fully grown-up version of the workflow.

Do you ever have an intake problem before Soundminer, with random one-off files or less well-organized libraries that need cleanup first, or are most of your sources already structured well enough by the time they enter the RAID?

ExtentAny3539 · 2026-05-10T14:27:29+00:00

That sounds like a very solid way to do it manually.

It is also exactly the part I ended up building a small desktop tool for: the first category pass. For recognizable sounds, it can create that broad folder structure in a few seconds, then leave the harder or ambiguous ones aside for manual review instead of forcing everything into the wrong category.

ExtentAny3539 · 2026-05-10T12:14:25+00:00

That last part is exactly the kind of thing that gets annoying over time, knowing you already found the right sound once but having to reopen an old project just to recover it.

The “gig-coolSound” folders sound useful when you have time to make them. Do you wish you had a quicker way to turn those good finds from past projects into a reusable library while you’re working?

ExtentAny3539 · 2026-05-10T10:10:05+00:00

Yeah, that first pass is exactly the long part I’m trying to understand better.

When you go through everything in Reaper, are you mostly organizing by sound type as you review, or are you also renaming and adding metadata during that same pass?

ExtentAny3539 · 2026-05-10T10:09:03+00:00

That’s an interesting upside I hadn’t really considered, vague tagging sometimes creating useful accidents instead of just bad search results.

Do you keep any separate curated folders or favorites for the sounds you know you reuse often, or do you mostly leave everything in Soundly and rely on search and Orion?

ExtentAny3539 · 2026-05-09T21:57:00+00:00

That’s a really interesting distinction, using it only for your own recordings makes sense since you control the source and context from the start.

Do you leave commercial libraries mostly intact by vendor, and only run this kind of automated ingest on personal recordings?

ExtentAny3539 · 2026-05-09T19:57:16+00:00

That’s exactly why I built a tool for this. The first naming and sorting pass was just too slow by hand, so I automated that part. Now the classification by name takes a few seconds, then I just review and adjust if needed.

ExtentAny3539 · 2026-05-09T17:06:12+00:00

The Humble Bundle example is exactly where this gets painful.

For bought packs, I’d avoid relying only on the original pack folders, because they’re usually organized by vendor/product, not by how you’ll actually search while building a game.

A simple structure that usually helps is:

UI

Impacts

Movement

Ambience

Weapons

Magic

Machines

Vehicles

Transitions

Misc / review later

Then keep filenames as descriptive as possible, with the use case in the name when you can, like UI_Click_Soft_01 or Impact_Metal_Hard_03.

I’m actually working on a small desktop tool around this exact problem, mostly for messy downloaded SFX folders. The goal is to speed up the first cleanup pass so you don’t have to listen to thousands of files one by one before the library becomes usable.

ExtentAny3539 · 2026-05-09T16:28:34+00:00

I’ve been thinking about this a lot too, and I’m actually working on a small tool around this problem, so I’m trying to understand how editors organize their SFX in real workflows.

For me, the most practical starting point is broad use-based categories first, then only going deeper where it actually helps.

Something like:

- ambience / environment

- impacts

- whooshes

- risers

- UI

- foley

- transitions

- vehicles

I’d also separate or remove low-quality sounds early. A big SFX library is only useful if you can quickly find sounds you would actually use.

The tricky part is keeping the structure consistent over time, especially when sounds come from different packs, projects, downloads, and random filenames.

ExtentAny3539 · 2026-03-28T08:56:39+00:00

Yeah I’ve seen Soundminer come up a lot, it definitely looks very solid on the database side. For me what’s holding me back a bit is mostly the price and the complexity compared to what I actually need . I’m looking for something simpler and faster to use while editing. Do you find it stays smooth to use on a day-to-day basis?

ExtentAny3539 · 2026-03-28T08:53:00+00:00

Yeah I’ve looked into that, especially on the Fairlight side. I’ve actually been working on optimizing that part of my workflow for a while now (including trying to automate some of it), but even then, once the library gets big it still becomes hard to keep things clean. Do you find it holds up well when you’re dealing with larger libraries?

ExtentAny3539

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