Engineers ask 
Reddit.
Be in the answer.
We put developer tools inside the threads engineers read and the answers ChatGPT gives.
A comment nobody can tell was paid for
Written by someone who has actually run the thing being discussed. It answers the question first and names your product only if it belongs.
We were at 38 min on a Go monorepo, now sitting around 11. Three things did basically all of it:
Remote caching was the big one, probably 60% of the win on its own. Then splitting the test job by package instead of running the whole suite on every push. Last thing was dropping our own Docker layer caching and letting the runner handle it, which felt wrong but measured better.
We looked at Buildkite and Earthly before landing on[your product], mostly because the caching config didn’t need a pipeline rewrite. Buildkite is genuinely better if you want full control, it was just more than we needed.
Competitors named honestly
A comment that only says good things about one tool reads as an ad. So ours don’t.
Specific enough to be checked
Real numbers, real tradeoffs, and the thing that didn’t work. Vagueness is what gets spotted.
You approve it first
Every draft lands in a shared doc before it goes live. Nothing technical goes out unread.
Then it outranks every blog post about it
Google puts Reddit threads over marketing content for questions like this. A thread we seed keeps ranking for years.
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The percentage of your buyers’ questions where your product gets named. Measured, not estimated.
It compounds
Nothing happens in month one. The curve bends around month three, once threads start ranking.
18 months of tail
A ranked thread keeps sending buyers long after the work stops. Ads stop the day you do.
And ChatGPT starts naming your tool
Models lean on Reddit when someone asks which tool to pick. Once the threads rank, your product shows up in the answer. No click, no form fill.
Same prompts, every week
The questions your buyers actually ask, across ChatGPT, Perplexity and Google AI.
Answers quoted in full
Including the weeks you’re not in them. A metric you can’t read in raw form isn’t a metric.
Sentiment, not just mentions
Being named as the expensive one is not the same win as being named as the obvious one.
Your problem.
Our solution.
How we get there
Detailed enough that you could run it yourself. Most teams read it and decide they’d rather not.
We learn your product
Docs, changelog, open issues, competitor threads. Nothing gets posted this week.
We map the rooms
Every sub, its real rules, and which threads already rank for your buyers’ queries.
Threads picked by intent
Nine comments from people choosing a tool beats four hundred upvotes from people who won’t.
Written by people who know it
Writers with real background in the area. If a draft only works because it mentions you, it gets cut.
You see it first
Every draft in a shared doc. Read all of it, or approve month one and stop looking.
Threads, not a dashboard
Every link, where it ranks, and what the models answer, quoted in full.
Pricing
Nearly everyone in this space makes you book a call to find out. Decide without one.
One month. Nothing after it unless you want it.
Where you land depends on how many subs need covering, how much we publish, and whether AMAs and reputation work are in scope.
You can buy Reddit work for $1,900 a month. If what you need is comment volume, take it. The higher number buys someone who can tell a thread worth entering from one that gets your product mocked in front of the people you sell to.
People with a background in the area being discussed: someone who has run the kind of infrastructure the thread is about. Every draft is read line by line before it goes out, and anything that only makes sense as marketing gets cut rather than softened.
We look for buying language, not upvotes. A thread where three people are comparing two tools this week is worth more than a popular one full of people who will never buy. Recency matters too, since a thread's first day determines whether it ever ranks.
A thread gets indexed in days, ranks over weeks, and starts appearing in model answers after a couple of months. The curve usually bends around month three. Faster than SEO, slower than ads.
Every thread we published, its current Google position and the query it ranks for, and the full text of what ChatGPT, Perplexity and Google AI answer for your buyers' questions, including the weeks your product isn't mentioned.
It happens, and you'll see it in the report rather than having it quietly omitted. We rewrite and place it again. If a sub turns out to be hostile to the topic entirely, we tell you and move the effort where it works.
Your docs, your changelog, and someone technical we can ask questions for about an hour in week one. No CMS access, no analytics access, nothing that touches your infrastructure.
Because writing convincingly about a flaky test suite or what a build minute costs at scale takes context you can't pick up per assignment. In technical subs, guessing is obvious in one reply, and the reply is public.
Yes, and the method on this page is the real one. Copy it. Most teams start, get busy in week three, and stop. If you have someone who will genuinely own it every week, keep your money.
Ready to be the answer?
Tell us what you build and where you think the conversation is happening.
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