Last week I posted here about a weird outcome: my niche site flopped,
but the translation engine inside it turned out to be the real thing.
I didn't expect much. This community did what it does:
- Several genuinely useful comments. The best one reframed my whole
problem: "measurement quality > distribution."
- And one real inbound — a SaaS company reached out and asked to test
the engine on their own site. They already run EN / DE / FR, so the
test is extending their content into Spanish and Portuguese.
What I did next:
- Ran their homepage through the engine (standard version first, as
they asked).
- Kept their branding intact — original logo, theme, and layout; only
the text is translated.
- Sent them a small package: localized pages, a hreflang snippet, a
meta comparison, and QA notes.
Where I'm at now: waiting on their review. If the structure and quality
hold up, the next step is a production-quality version.
Two things I learned this week:
- The product was the easy part. Finding someone who actually wants
it is the hard part. I spent months building; the real progress came
from one honest post.
- Real feedback beats vanity metrics. Most of my "impressions" were
bots. Three real comments changed how I think about the whole thing.
If you run a site that should sell in other languages but is still
English-only — reply or DM. I'll make a free 10-page localized version
of yours. No strings.
The contrast between impressions and one real inbound is telling. I’d use the next few conversations to learn the exact trigger that made this company reach out, then repeat that path deliberately.
This is the point where I’d write down the conversion path before their review lands: what they’re evaluating, who approves production, what result counts as success, and what paid scope follows. Which event turns this from a useful free test into a purchase?
This is a great reminder that a “failed” product can still reveal a valuable wedge. The translation engine becoming the real signal is a useful lesson in watching for repeated user pull instead of defending the original thesis. I’d keep documenting which use cases convert that inbound curiosity into a concrete next step.
Appreciate this. Agreed — the "wedge" framing is the useful part: the engine was never the thesis, it was the thing users kept pulling on. The specific pull I'm documenting is companies that already run multiple languages wanting to extend into more markets. That's the use case I'm tracking to see if it converts.
The inbound is a much stronger signal than the original site metrics, but the important evidence may come from what they do after reviewing the output. What would you need to see from this test to conclude there’s real production demand rather than just curiosity?
Great question — "they liked it" isn't the signal. Here's the bar I'm watching for:
My bar is simple: they ask to ship it, and what it costs. Anything short of that is a friendly demo.