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Your product didn't fail at launch. It failed the day you decided to build it.

You launched.

Crickets.

Maybe a few polite upvotes. A handful of signups that never came back. Now you're stuck wondering:

– Was it the landing page?
– The pricing?
– The timing?

It wasn’t.

The product was already dead before you wrote the first line of code.

And here’s the uncomfortable truth: no amount of execution could have saved it.


The Real Problem: You Solved the Wrong Thing

Most founders think they have an execution problem.

They don’t.

They have an idea problem they never examined.

You didn’t pick your idea because there was clear, urgent demand.

You picked it because:

– It felt interesting
– You could build it
– You experienced the problem once or twice

And then you assumed others cared just as much.

That assumption is where the failure starts.

There’s a massive gap between:
“This annoys me” and “People will pay to fix this.”

Conviction fills that gap.

But conviction is not demand.


Execution Makes It Worse (Not Better)

Here’s the trap most people fall into:

The more you build, the harder it becomes to quit.

Every feature shipped = more emotional investment
Every small signal = false validation
Every hour spent = pressure to continue

You start telling yourself:

– “Maybe it just needs better marketing”
– “Maybe the market isn’t aware yet”
– “Maybe I need to push harder”

But you avoid the only question that matters:

Is this a real, painful, frequent problem?

Sunk cost doesn’t just waste time.

It blinds you.


The Only Question That Actually Matters

Most advice says:

– Validate
– Talk to users
– Build an MVP

That’s surface-level.

The real question is:

Are people already trying to solve this problem — badly?

Look for:

– Spreadsheets
– Workarounds
– Manual hacks
– Paying for imperfect solutions

If none of that exists:

👉 The problem probably isn’t painful enough.

And if it’s not painful, it won’t convert.


A Simple Rule (That Saves Months)

Before you build anything, ask:

“What are people doing right now to solve this?”

If the answer is:

– “Nothing”
– “They don’t really care”

Kill the idea.

If the answer is:

– “They’re hacking together ugly solutions”
– “They’re paying for something flawed”

Now you have something real.


Where I’m Building This

I’m working on a system that helps founders get a clear build / kill verdict before wasting months:

https://syra.up.railway.app

And here’s my work / projects:

https://yogyagoyal.up.railway.app


If You’re Building Right Now

Drop your idea and answer just one thing:

Is your user already solving this problem badly?

That answer will tell you more than:

– 100 surveys
– 10 landing pages
– 6 months of building

No fluff. Just signal.

on May 1, 2026
  1. 1

    The workaround test is one of the most reliable signals available and massively underused. If someone built a spreadsheet to solve it, that's a product waiting to happen.
    The one blind spot I'd flag: absence of workarounds doesn't always mean absence of pain. Some problems are so embedded in daily life that people stopped noticing them, or gave up looking for a fix. The workaround test works best when combined with one more question: have people actively searched for a solution and found nothing good enough? That search behavior, even when it ends in failure, is as strong a signal as the ugly workaround.

    1. 1

      Yeah true, that’s a good addition.

      A lot of problems don’t have visible workarounds because people just accept them as “how things are.”

      I think repeated search behavior is a strong signal too. If people keep looking for a solution, trying different tools, asking around, and still not finding anything good enough, there’s probably real demand underneath.

  2. 1

    This reframe is right. The launch is just a forcing function to get feedback—not the actual make-or-break moment.

    The failure I see most often is people measuring launch success by upvotes/installs in week 1 instead of whether they talked to 10 real users that week.

    I launched a Firefox extension quietly on AMO and got the first installs from people who searched for the exact problem—not from any launch event. The subreddit and blog push later is secondary to whether the thing works for someone and they can find it.

    So the question I now ask before building: can I find 3 people who need this badly enough to describe the problem unprompted? If yes, build. If not, more discovery first.

  3. 1

    This reframe is right. The launch is just a forcing function to get feedback—not the actual make-or-break moment.

    The failure I see most often is people measuring launch success by upvotes/installs in week 1 instead of by whether they talked to 10 real users that week.

    I launched a Firefox extension quietly on AMO and got the first installs from people who searched for the exact problem it solves—not from any launch event. The 'launch' later on subreddits and blogs is secondary to whether the thing works for someone and they can find it.

    So the question I now ask before building anything: can I find 3 people who need this badly enough to describe the problem unprompted? If yes, build. If not, do more problem discovery.

  4. 1

    Identifying users who rely on manual hacks or messy spreadsheets is the most reliable way to confirm that a problem is actually worth solving.
    Your tool at syra.up.railway.app helps founders avoid the "sunk cost" trap by providing a build or kill verdict before code becomes an emotional liability.
    This approach prioritizes documented market urgency over simple conviction or interesting ideas.

    What was the most surprising manual workaround you have seen a user implement to solve a problem?

  5. 1

    This post should be required reading before anyone writes code. I learned this the hard way – built a product nobody wanted, wasted 6 months. That's literally why I built TrendyRevenue (AI that validates startup ideas in seconds) – to stop myself from making that mistake again.

    Your point about 'are people already solving this badly?' is the real signal. Spreadsheets, manual hacks, paying for broken solutions – that's demand.

    Question: How do you differentiate between 'painful enough to pay' vs 'annoying but not worth $20/month'? That's where I still struggle.

    1. 1

      Honestly the difference shows up in behavior, not what they say.

      If it’s real pain, they’ve already bent their workflow around it — like they’re doing the same annoying thing every day because they can’t avoid it. If you took it away, something actually breaks for them.

      If it’s just annoying, they’ll complain about it but they’re inconsistent. They skip it, forget it, nothing really happens.

      One thing that helped me: ask what happens if they stop doing it for a week.
      If the answer is “things get messy / I lose track / I miss stuff” → that’s pay-level pain.
      If it’s “nothing major” → not worth $20/month.

      Took me a while (and a wasted build) to see that clearly 😅

  6. 1

    Sharp filter — adding one nuance from our actual experience: the texture of the ugly workaround tells you willingness-to-pay, not just its existence.

    Pre-MVP for TokRepo (skill marketplace for AI agents, ~9 months back), we found ~30 founders maintaining Notion pages of "skills/prompts I keep copy-pasting between Cursor/Claude/Codex." Workaround clearly existed. But within that group, the founders with a messy 200-line dump converted at 4-5x the rate of the ones with a tidy system — the tidy ones had already paid the cognitive cost and didn't feel pain anymore.

    Counter from Molt (our quit-smoking side app): 4M+ on r/stopsmoking exchange tips daily, big workaround. We almost built into that → realized free + community = good enough → low WTP. Same Yogya rule, opposite verdict.

    Heuristic we now use: messy spreadsheet workaround = high WTP, free subreddit workaround = low, paid-but-stale (Gumroad course unchanged since 2021, still selling) = medium-with-a-moat.

    "Are people solving it badly?" gets you the binary. The texture of how badly tells you the price tier.

    1. 1

      Good nuance — agreed that the texture of the workaround matters.

      I’d frame it slightly differently:

      It’s not just messy vs tidy, it’s whether the problem is still unresolved despite repetition.

      • Messy + repeated use → pain is active → high WTP
      • Tidy system → pain already absorbed → harder sell
      • Free community → good enough baseline → low WTP unless you 10x outcomes
      • Paid but stale → validated demand + weak alternatives → interesting spot

      So yeah — “are they solving it badly?” gives you the binary.

      But the real signal is:
      are they still paying the cost every time the problem shows up?
      That’s where conversion lives.

      1. 1

        That re-frame is sharper. The active/absorbed split nails what we miss in TokRepo's data. Concrete validation: of our paying users, 91% described their workaround in present tense ("I'm still copy-pasting prompts every day") vs only 12% of free-tier signups. Tidy-system founders kept saying past tense ("I built a Notion thing once and it works fine"). The verb tense literally predicts WTP — we now flag any sales-call transcript with majority past-tense workaround language as a do-not-pursue.

        Going to steal "are they still paying the cost every time the problem shows up?" as our internal qualifier. Cleaner than what we were using.

        1. 1

          That’s actually a clean signal.

          Feels like you can almost hear it on calls now — the moment someone slips into “I still do this every day” vs “I set something up once”.

          One thing I’d be curious about: do words like “every day / constantly” vs “sometimes” show a similar gap?

          Tense tells you if the pain is active, but frequency might tell you how intense it is.

  7. 1

    The failure usually starts earlier than launch, but not at “the idea.”

    It starts when the founder mistakes personal interest for market urgency.

    That’s the real trap:
    “interesting to build” gets treated like “painful enough to buy.”

    Most products don’t die because execution was bad.
    They die because the buyer never had enough pain to change behavior in the first place.

    The cleanest signal is exactly what you pointed at:

    Are people already solving this badly enough to tolerate friction, hacks, or ugly substitutes?

    That’s usually the line between:
    mild annoyance
    and real buying behavior

    Because buyers rarely pay for “interesting.”

    They pay to remove cost, risk, delay, or repeated pain.

    That’s usually the real build / kill filter.

    1. 1

      Yeah I agree with this.

      Most people don’t mess up at execution, they mess up way earlier by confusing “this is interesting” with “someone actually needs this solved now.”

      One thing I’ve noticed though — even if people are solving something badly, it only really matters if it keeps coming back.

      If it’s a one-time annoyance, they ignore it.
      If they’ve already figured out a clean system, they live with it.

      But when it’s messy and they’re dealing with it again and again… that’s where they’ll actually pay.

      That’s usually the difference.

      1. 1

        Exactly.

        Repeated pain is the real filter.

        One-time pain gets ignored.
        Clean workaround gets tolerated.
        Repeated messy workaround creates buying urgency.

        That’s why I usually look for:
        are people already spending time, money, or reputation to avoid this?

        If yes, there’s probably a real product.
        If not, it’s usually just an interesting problem.

        Are you using this filter for something you’re building right now, or more as a general product lens?

        1. 1

          Mostly as a lens right now.
          I look for cases where people are already using hacks repeatedly — like juggling spreadsheets, reminders, or manual follow-ups instead of a proper system.
          If it’s recurring and messy, that’s usually where I pay attention.

          1. 1

            You’re right. The “clear owner” filter is the part most people skip.

            I’m applying this more seriously now to early products where the founder already has something built, but the positioning/name/category is still blurry.

            The pattern I keep seeing is similar: founders build around an interesting pain, but the landing page or name does not make the buyer urgency obvious enough. That is where the product gets misread as “nice to have” even when there may be a real repeated pain underneath.

            Are you currently applying this to a specific product or startup idea, or mostly thinking through the validation lens generally?

            1. 1

              I mostly use this as a validation lens whenever I search for product ideas to build.

              1. 1

                Makes sense. Then I’d keep using that filter before committing to any build.

                The strongest opportunities are usually where three things overlap: repeated messy workaround, clear owner of the pain, and some existing cost in time, money, or reputation.

                If one of your ideas reaches that point and you want to pressure-test the positioning or first-user angle, that would be the stage where an outside read becomes useful.

          2. 1

            That’s the right place to look.

            Recurring messy hacks usually reveal more truth than surveys.

            If someone keeps duct-taping spreadsheets, reminders, and manual follow-ups together, that usually means the workflow is painful enough to keep solving badly.

            The next filter is whether the pain has a clear owner.

            If nobody clearly owns the problem, it becomes “annoying” but hard to sell.

            Are you applying this to a specific product idea, or just using it to filter opportunities?

        2. 1

          This comment was deleted 3 months ago.

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