Shipped my AI tool 3 weeks ago. 0 paying users. Here's what I'm doing wrong.

The gap between a working prototype and a paying user is almost always a gap in the 'pain threshold.' You built a tool that provides insight, but you need to determine if that insight is a 'nice to have' or a 'must have' for job seekers right now. If your users are still manually applying or using free templates, they don't yet feel the pain of rejection enough to pay for your analysis.

Try this: don't look for users, look for people currently deep in the interview process. Go to platforms like LinkedIn or niche developer communities where people are actively sharing their frustration with recent interview rejections. Instead of offering the tool, offer a 'manual audit.' Tell them you'll run their resume and one job description through your tool and give them a summary of the risks for free. If they find it valuable enough to ask 'how do I do this for my next interview?', then you have a product-market fit. If they ignore the summary, the problem you're solving isn't high enough on their priority list.

The thing that stands out to me after reading this thread is how quickly everyone (including your own replies) moved to tactics — pricing, channels, funnel metrics. But the actual bottleneck you described is upstream of all of that: the report sometimes works and sometimes doesn't, and you don't know the ratio.

One thing I'd suggest before any distribution push: run your own resume against 5 different job postings at 3 different seniority levels, and score each report yourself on a 1-5 "specificity" scale. If the score swings wildly, the problem isn't marketing — it's that your core product has inconsistent output quality, and driving traffic to inconsistent quality is just burning leads. Once you can reliably hit 4+ across postings, then every channel the other comments suggested will actually convert at a rate worth measuring.

I've run into this exact issue building AI features - no matter what you tell the model, it keeps falling back on the same boilerplate language. Telling it to "not be generic" doesn't really work.

What actually helped was checking the output after it's generated, not just the prompt. We look for stock phrases and structural patterns, like the same reasoning getting reused for different people, and if we catch one, we regenerate. Not perfect, but it's caught a lot of generic output before it reached anyone.

Might be worth doing something similar here, a quick pass over your own report output for the phrases you're trying to avoid, so you catch it before a stranger does.

The self-knowledge here is the useful part: “I can ship, but I don’t naturally think about distribution.” Most people never get that honest. One pattern I’ve seen with tools like yours: the fit report only converts if the reader immediately sees themselves in it. If the first screen still reads like a generic prep tool, the substance underneath doesn’t get a chance. Try showing the report against a real, messy resume on the landing page, not behind signup, and watch where people stop reading. And your question to them is the right one, just ask it where they’ll answer, not only in the post. The messy middle is the product, not a phase you survive.

The measurement you're tracking is "0 paying users," but the measurement that matters is whether the fit report actually shows something an interviewer will probe that's specific to this person's background.

You know what makes it click - the interview map switching from the hiring manager's view to cross-team and watching the same gap get probed differently. That's the insight. But if a stranger loads your demo, can they see that insight working on their actual resume and job posting? Or are they reading your description of what it does?

Right now everyone in the comments is solving for distribution, pricing, funnel. But the real question you asked is buried: when they see the fit report, does it feel generic or does it name something concrete about how this specific interviewer would approach their experience?

That's your measurement system. Not "would they pay." Not "is the UI clean." Can they load a real fit report and name one specific thing they learned about how an interviewer would probe their background - something that wouldn't apply to someone else's resume?

Once that measurement system is working - once strangers see the actual report and can articulate the insight - distribution stops being a blocker. You'll have something visibly differentiated to distribute, and every channel works better because it's showing something people can evaluate instead of imagine.

I can't give you success advice because I'm in the same spot. I teach non-programmers to solve real problems with Claude Code (kambolab), the paid course went live this summer, and my sales count is also zero. Same self-diagnosis too: shipping feels natural, distribution feels like a chore I keep deferring.
The thing that unstuck me mentally was writing a plan for the first 10 customers specifically instead of "doing marketing." Ten customers is a set of individual people you could almost name. So my plan is boring on purpose: give five copies away for honest feedback, then spend 30 minutes a day answering questions in places where my audience already hangs out. The only number I track is real conversations per week, because at zero revenue every other metric is decoration.
One question. Have you sat next to an actual job seeker while they read their fit report? At our stage one hour of watching someone's face probably beats any launch channel. It's also the next item on my own list, so I'm partly asking to force myself to do it.

Your demo page is the distribution channel - it already sells without a signup wall. Drop it where your exact users already hang out (interview-prep subs, Blind, LinkedIn) and the answer to your real question - 'does it feel generic?' - will come faster than any pricing debate. Let a few hundred strangers run the demo before you touch the $9/mo.

The distribution problem may be real, but I'd test one other thing before trying to send more traffic: whether the subscription model matches the job-hunting job-to-be-done. Interview prep is episodic. Someone can get a genuinely useful report and still not want another monthly subscription.

I'd run a 10-person manual cohort before scaling distribution: pick one narrow role, ask each person for a resume plus an actual job posting, deliver the report, then measure three things: did they open the interview map, can they name one concrete insight that changed how they'll prepare, and would they pay again for another application/report? If most get value but balk at S$9/mo, test one-time report credits or bundles before changing the product. If they can't name a specific useful insight, pricing is a distraction and the report/map still needs work.

I'd also instrument landing -> sample -> upload -> report opened -> map used -> return within 48h. Since you said the map is what makes the differentiation click, I'd make map interaction the activation event rather than signup. Then “0 paying users” becomes a debuggable funnel instead of one number.

You asked whether the fit report reads as useful or as the same generic feedback every prep tool gives. Your landing page already answers that, and the answer is not the one you want.

Your words: "when you see the fit report, does it tell you something useful, or does it feel like the same generic feedback every prep tool gives?"

The headline promises "not a generic question bank", then the proof underneath is strengths, risks, deal-breakers, likely questions and follow-ups — the exact nouns every competitor uses. The claim is differentiation; the evidence is a category description. Worse, the sample report does not contain a report. That page is 504 characters and lists what the sample shows rather than showing it, while saying No signup required. So a visitor cannot judge the one thing you are asking strangers to judge. And S$9 appears nowhere on the site — you are asking whether the price is right, but nobody who lands has seen it.

I read the page as nine sections, mark where a visitor stops believing, and rewrite the copy for those sections. Diagnosis and replacement English copy only — no design, no code, no pricing decision made for you.

The section-by-section map and the rewritten copy come after we start. The three above are free.

No client case study to show — my before-and-after demos are my own samples and I label them that way. What I can point at is this reply: I opened your site and your sample page and named three specific things instead of saying the copy looks clean.

Paste one real fit report into the sample page, redacted, and repost the same question here — if strangers still call it generic after seeing an actual report, the problem is the report and not the page, and that is worth knowing before you touch pricing.

The interesting part is that you already have a much sharper problem than “AI interview prep.” Showing where someone’s actual experience is likely to get challenged feels substantially more useful than generic advice. I’d be curious whether people understand that distinction immediately from the fit report, or only after seeing the demo.