I wasted 6 months building a failed startup. Built TrendyRevenue to validate ideas in 10 seconds.

The "10 seconds" framing is provocative but I think it's the wrong lens for most ideas. What can be validated in 10 seconds is whether the idea has obvious search demand and whether competitors exist. What CAN'T be validated in 10 seconds: whether you can build it economically, whether the market has unit economics that work for an indie operator, whether you'll still want to be working on it 18 months in.

I had a similar "wasted 6 months" experience and the lesson I took was different: validation isn't about avoiding building the wrong thing — it's about reducing the cost of being wrong. Spend 2 weeks on a landing page + manual fulfillment of the value, get 5-10 users, see if they actually keep using it. That's the fastest way to test the parts that don't show up in 10-second tools (retention, willingness to pay, your own motivation to keep showing up).

That said — the speed-to-feedback your tool gives is real value. Probably best framed as the first filter before deeper validation, not as the validation itself.

This resonates a lot — especially the part about realizing too late that validation should have come first.

I’m currently in the opposite phase (trying to validate after building), and it’s interesting how different the mindset is once you start talking to real users instead of just thinking through ideas.

Curious — how accurate have the results been compared to actual user feedback or real-world outcomes so far?

Also wondering if people trust the output immediately, or if they still need some level of manual validation before acting on it.

The irony is that the excitement of building feels like progress. That's what makes skipping validation so easy to justify.

I'm building an AI interior design platform no tech background, just deep domain knowledge. My version of validation was spending time understanding the gap in the market before touching anything technical. Turns out knowing your problem really well is its own form of market research.

Tools like this are useful though I'd say the hardest part isn't getting the data, it's being honest with yourself about what it's telling you.

Built TokRepo (skill marketplace for AI agents) and ran into a counter-pattern worth flagging in TrendyRevenue's rubric.

We had 3 features that hit the validation checklist beautifully — 8K-22K monthly search volume, 2-3 competitors (low saturation), $35/mo × estimated TAM = ~$140K MRR ceiling.

Shipped them. All three flopped at <2% conversion.

The cause: search volume measures curiosity, not intent. "Agent skills marketplace" had high curiosity volume, but searchers were "thinking about getting into AI" people, not builders. Different cohort, looks identical in keyword tools.

Two columns I'd add to TrendyRevenue:

1. SERP intent type — top 10 ranking pages tutorials, comparisons, or product pages? Tutorial-heavy = curiosity. Product-heavy = buying intent.

2. Reverse-search top-3 competitor backlinks — coming from review sites or how-to blogs? Review = converters. How-to = lookers.

The "validated idea that flops" is more painful than the unvalidated one because you've already burned 6 months on something that "should have worked." +1 to BruceBruce805's manual 10-15 conversations as the second filter — search data tells you the cohort exists; conversations tell you the cohort can pay.

Great post, Usman. The pre-validation lesson is one of the hardest to learn as a founder, and sharing your failure story takes guts. My own experience mirrors yours — I spent 4 months building a project management tool for remote teams before realizing there was zero search demand. The validation approach you're describing with TrendyRevenue (checking search volume, competitor gaps, and revenue potential before writing code) is exactly the mindset more founders need. One thing I'd add: even before using a validation tool, try manually reaching out to 10-15 people in your target audience and ask if they'd pay for your solution. Real conversations beat data sometimes. Keep iterating — the tool concept is solid.

The "6 months building before validating" mistake is universal — I made the exact same one early in my career. Validation tools that surface real demand signals (not just "cool idea bro" feedback) are genuinely useful.

Quick suggestion on the landing page: lead with the differentiator ("real search data + competitor intel, not a ChatGPT wrapper") above the fold. Most validation tools have collapsed into the same generic AI-score positioning, and your moat is exactly that you're not that.

Also curious — what data sources does the search-volume side pull from? That's usually where these tools either become indispensable or break trust.

Converting a six-month "unvalidated build" error into a ten-second automated audit is like having a linter for business logic. By pulling real search trends and competitor gaps instead of just guessing, you help founders catch the most expensive bug before they write code.
Which specific metric in your report usually gives founders the biggest "reality check" about their idea?

I just read another company doing this proof of concept idea. Mind as well wait until one rises to the top from all these AI with the same idea.

TrendyRevenue” explains one output, but the product is already broader than that.
You’re not really selling trend data.
You’re selling faster conviction on whether something should exist at all.
That likely gets harder to hold under a descriptive name, especially once this moves beyond “idea validation” into founder decision infrastructure.
Beryxa.com fits that direction better.
Cleaner, broader, easier to trust if this expands into the system founders use before they commit time, money, or headcount.
Xevoa.com and Exirra.com also fit if you push more toward execution / operator tooling later.

Six months is a long time to spend on something that doesn't take off, but it’s a classic founder lesson. A tool that validates ideas in seconds sounds like a perfect way to fail fast.