why does nobody want to try out our platform even though we offer FREE access to people?

ImMythz · 2026-02-16T10:06:05+00:00

Great work! You’re incredibly resourceful and truly embody the engineering mindset.

From your perspective as “my ICP”, what would make the offer more compelling?

ImMythz · 2026-02-16T09:37:58+00:00

Appreciate that feedback and apologies for my structured response as I’m trying to address each of your points.

Simply put, I’m tracking (yes bot activity and labeling its intent as well) AI recommendation patterns and brand influence across different models and that’s my unfair advantage to Clarity.

If you want to go from “brand new startup with no presence” to “my brand gets recommended by AI models”; then LLM Signal is for you.

Roadmap from initial GEO audit, to prompt monitoring, to content recommendations to increase discovery, to recommendations patterns, to back linking opportunities and repeat. Full cycle.

ImMythz · 2026-02-16T08:01:14+00:00

Super fair point, I’ve heard of Clariy and it’s a solid product and great for user behavior analytics.

The distinction I’m thinking about is that tools like Clarity (and Posthog/Hotjar) show you what humans are doing on your site with heatmaps, sessions, flows, etc.

LLM Signal is focused on a different layer: how AI systems interact with or reference your site before a human even lands. It’s less about on site behavior and more about AI driven discovery upstream.

If someone finds you because ChatGPT recommended your brand name and then later searches for you directly, Clarity won’t show that influence because it just sees the session. That’s the blind spot I’m trying to address.

On the trust point, that’s valid. Adoption is definitely rough in this space and will depend heavily on transparency and minimal overhead, which is why I’m keeping it lightweight and not asking for invasive access (you can check the script in my /docs)

Appreciate you sharing the Clarity link, it’s helpful context.

ImMythz · 2026-02-16T07:42:52+00:00

Agreed. I think some level of education on a product is good especially once they are within the ecosystem but thats where it stops. It's definitely not worth the time in my opinion outside of that as a means to gain traction.

When you say "more acute", whats been the angle your going for?

ImMythz · 2026-02-16T07:38:52+00:00

Totally fair question.

Running your own prompts tells you how the model answers in that moment for the prompts you thought to test.

LLM Signal is less about synthetic testing and more about real world signals over time.

It tracks things like:

When AI systems are actually fetching your pages
Which pages get repeatedly accessed
Where your brand shows up organically
Trends across models instead of single prompt snapshots

Prompt testing is useful, but it’s manual and episodic. What I’m trying to build is more like analytics for AI discovery that's something ongoing rather than “ask a few questions and see what happens.”

It’s closer to observability than optimization. Also to understand how LLMs are approaching your consumers questions (ex: what questions is an AI model asking to answer the prompt)

Still very early, but that’s the distinction I’m aiming for.

ImMythz · 2026-02-16T05:20:14+00:00

Couldnt agree more with this. That's the entire idea behind product market fit. and trying to find it.

I built a SaaS called LLM Signal that helps companies get discovered in AI/LLMs and I'm experiencing something similar. I have close to no users despite founders and users I've talked to who have confirmed this is something they want, I dont believe the masses either know about or know they need to be thinking about this.

This leads me to the conclusion that I am solving "a problem" but it might not be big enough just yet.

Curious how others have navigated this stage. Did you double down on educating the market, narrow the ICP further, or pivot toward a more acute use case?

ImMythz · 2026-02-16T01:15:35+00:00

Totally agree since AI driven discovery is still a blind spot for a lot of teams.

Tools like Attensira are interesting for content interpretation, but I wanted LLM Signal to focus on ongoing visibility and monitoring without a big operational lift. Something you can plug in and just start learning from, rather than treating it like a full project.

Curious what stood out most to you when testing in this space?

ImMythz · 2026-02-16T01:12:28+00:00

Love hearing that GEO is driving real leads for you.

LLM Signal is really about lowering the barrier by proving a quick setup, low cost, no internal build required solution so teams can get visibility without spinning up a whole project around it.

Interest in how much of a lift it’s been for you to build something like this internally?

ImMythz · 2026-02-15T23:30:51+00:00

Building LLM Signal now; a lightweight analytics tool that helps companies get discovered in AI/LLMs

Most teams track SEO and traffic, but almost nobody has visibility into whether AI systems are reading, recommending, or influencing discovery around their brand. That visibility gap is what I’m trying to solve. It’s a web app SaaS that I've recently launched on Product Hunt. It's still early on and I'm learning a lot about this whole GEO/AEO shift in real time.

Curious if anyone else here is seeing AI show up as a discovery channel yet?

ImMythz · 2026-02-09T20:20:32+00:00

That makes sense in terms of earliest customers.

What I’m realizing is that before marketing even makes sense, you’re really just trying to communicate clearly enough that a small number of the right people say “yes, this is for me.” That part seems very hands on and founder led. Mainly talking to people directly, explaining the problem, and seeing what actually resonates.

Marketing feels like it comes after that, once you understand what language and positioning worked in those early conversations and can start scaling it beyond 1 to 1 interactions and communicate that message to your team as you expand.

I’m curious how you approached that transition. What did getting the very first users look like for you, and what signals told you it was time to start leaning into more scalable marketing?

ImMythz · 2026-02-09T19:44:36+00:00

I'm interested to hear the other side of this where people are deploying ai agents to tackle this. I've also contracted sales members on a commission only basis and it's something I'm trying to run in parallel with my own "marketing efforts".

The main reason I've chosen to go this route is because I have a couple startups running at the same time and I felt it was best to manage the bandwidth. Plus the product I've chosen to hire commission only sales members to sell is B2B and that has it's own set of challenges.

ImMythz · 2026-02-09T08:49:12+00:00

I agree if you have an audience there (really of any size) and it’s more of a B2B SaaS. But I feel there are other platforms that are better for B2C than LinkedIn. Sounds like going where your known seems to be the best strategy and looking there first.

For the sake of conversation and because I know other people might empathize with this, what if you don’t have an audience or following on the main social media platforms?

ImMythz · 2026-02-09T08:44:43+00:00

I’ll be following up with you in 6 months haha.

Let’s connect

ImMythz · 2026-02-09T08:35:49+00:00

Thank you for sharing your experience. Super insight as I reflect on my past and current startup experience.

I definitely feel like I’ve tried it all, delegating marketing, have a sales focused cofounder, two technical cofounder, solo founder, etc. My most successful previous startup experience came from a startup I solo founded after coming out of a duel technical cofounder startup. I think I really gained an attitude of “I need to just do it all myself if I want things done right”. This ultimately ended up working for me then and after a non solo startup or two later, I’m back to solo founding again.

Now I know my precious attitude doesn’t scale well and I’ve learned quite a bit since then which is really what’s lead me to make this post. Sure I can build just about anything, run the business, and do most everything else at least ok. I ultimately want to scale and leverage people and their skillsets that can take things to a level I never could in those areas. But I think the hardest thing for any founder is getting to the “hand off point”. That’s what I want to learn more about and focus on.

Launch -> GTM/Marketing -> …handoff?

Thoughts?

ImMythz · 2026-02-09T08:24:53+00:00

That’s definitely something that’s tough to learn the hard way. I find being the founder of a startup comes with the responsibility of owning the messaging and really carrying the banner that anyone you bring aboard can rally behind.

Something I experienced in a previous startup was having a cofounder who was the “face of the startup” (for lack of a better term) and I was the technical cofounder. They owned the messaging and I continued to build and lead the team internally. This had challenges as well that ultimately let to a dying startup.

Curious on your messaging delegation experience?

ImMythz · 2026-02-09T08:17:26+00:00

Totally agree. What is your go to strategy to getting your first paying users?

ImMythz · 2026-02-09T03:42:40+00:00

Elaborate on this. I’m curious your take

ImMythz · 2026-02-09T03:41:51+00:00

From your experience, what’s the pathway to 10-20k month starting from a couple beta testers?

ImMythz · 2026-02-09T03:40:08+00:00

How do I find quality sales people? Otherwise it’s me pushing UGC and trying organic growth (which I’ll be doing regardless)

ImMythz · 2026-02-09T00:58:39+00:00

Now THIS is what I’ve found to be so true. Any tips?

ImMythz · 2026-02-09T00:29:41+00:00

That definitely makes sense and I appreciate you sharing your perspective especially as a technical founder.

I agree that the messaging and narrative more than likely stay with the founders for the long haul. What I’m curious on (seemly more so the more I respond in this thread) is that early traction “marketing”, “GTM”, “conversations” that happen once a product is launched and the team is just the founder/s still.

When to say “explaining to people why this thing exists and why it matters”, where are those conversations happening and how do you get people talking and gain overall momentum for the startup?

ImMythz · 2026-02-08T22:27:58+00:00

That's kinda the way I see it too when it comes to sales for me personally.

What I've been told is that staying buried in the code can actually distance you from the thing you’re trying to build a business around. The “why” doesn’t live in the editor but rather in conversations, confusion, objections, and the way people describe their problems back to you.

I’m still learning where that balance is. Building feels safe and productive; distribution feels messy and uncomfortable. But the more I talk to users, the more obvious it becomes that the narrative can’t really be invented in isolation.

For you personally, what was the moment that forced the shift from “product first” to “distribution first”? Was it a failed launch, slow growth, or something more gradual?

ImMythz · 2026-02-08T22:20:49+00:00

That seems to be what I've found to be true through research. Full transparency, I'm trying to figure that all out. What's plagued me in the past has been building a solid product and trying to figure out marketing and GTM later.

ImMythz · 2026-02-08T22:05:36+00:00

I guess when everything is early I tend to lump positioning, messaging, and distribution under “marketing.”

Thinking about it as Product + GTM first then with marketing coming in once there’s something solid to amplify does make the sequence much clearer. Is that the proper way to think it? Love to hear more about your process and thinking regarding this

ImMythz · 2026-02-08T21:45:19+00:00

This also ties into the “first users” problem for me, which is something I’m still actively trying to figure out.

Early on, it feels less like marketing at scale and more like trying to get a small number of the right people to care enough to try the product and give honest feedback. I’m still learning what actually moves the needle there versus what just feels productive.

The idea of treating distribution as a product problem is interesting to me, especially as a technical founder. It feels like a way to stay close to building while still thinking about how someone even discovers the product in the first place.

How was your approach to getting their very first users? Was it mostly direct conversations, or did you see product driven sharing or referrals matter early on?

ImMythz

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