
TidyOutput
Browser tools that clean up AI-generated text.
Some real numbers, since I find posts without them useless.
I launched tidyoutput.com 10 days ago — 16 browser-based tools for cleaning
up AI-generated text. Static Next.js export on Cloudflare Pages.
Google Search Console, first 10 days:
- 235 impressions, growing 12 → 54/day then flattening at ~45
- Average position 45, unchanged for 10 straight days
- 8 clicks total, but 5 were me checking my own rankings from Singapore.
Real organic clicks: 3.
What I read from that: Google finished its initial evaluation and parked the
site in a bucket. Impressions plateaued, rank hasn't moved in over a week.
That's not a content problem — the pages average 1,500+ words and load fast.
It's a zero-backlinks problem.
Two things I did find interesting in the query data:
1. One page is outperforming everything: a ChatGPT export viewer, position
35 → 34 with an actual click. Turns out almost nobody builds tools for
that. Meanwhile my JSON-to-CSV page sits at position 80 because I'm
competing with ten-year-old domains. Obvious in hindsight: pick queries
where the incumbents aren't.
2. A cluster around invisible/hidden characters showed up as 15 impressions
spread across 11 different queries. That fragmentation told me the topic
was deeper than a tool page could serve, so I wrote a long piece on it
instead.
Where I'm stuck: Show HN is currently restricted for new accounts, which was
my main distribution plan. So I'm looking at npm packages, awesome-list PRs,
and dev.to cross-posts as slower alternatives.
For those of you who've taken a tool site from zero — what actually moved
things? I'm most suspicious of my own instinct to just keep adding tools,
since 16 pages all ranking at 45 suggests page count isn't the constraint.
About
I built this because of a small, repeated annoyance. Every time I pasted ChatGPT or Claude output into a document, I'd spend a minute stripping em dashes, curly quotes, leftover Markdown.

2 Comments
Really interesting breakdown, especially the way you’re using query data instead of just adding more tools. Curious — when you hit this early stage where you’re deciding what to work on next, do you usually trust the data, user signals, or your own intuition most?
The interesting part is that you already have several different signals from the first 10 days, but they could support very different next moves.
Of the conclusions you've drawn so far — backlinks being the constraint, narrower queries being the opportunity, or simply needing more time — which one are you least confident the current evidence actually supports?