Last month I launched a Stripe app. Four posts in a week across two channels, the usual sequence. Then I did the part almost nobody does, which is check whether anybody clicked.
I'd put a beacon on the landing page first. First-party, about forty lines, logs the path and the referrer and a timestamp. No vendor, no dashboard.
Nothing arrived. Not "low", not "a trickle". Zero non-bot rows across the launch window, and none in the four months before it either.
The first version of my classifier actually told me I had six human visits and I nearly believed it. Then I read the rows. Two shared an identical microsecond timestamp. One claimed a Chrome build that has never existed. One was running Windows NT 11.0, which also does not exist. I rewrote the classifier. The real number is zero, or at best one.
That number is boring on its own. Plenty of launches get no traction. What kept me going was realizing I had no idea whether the venues themselves work, and as far as I can tell neither does anyone handing out the advice.
So I measured one.
I pulled 600 recent r/microsaas posts through a public archive mirror and classified them.
Of the 183 that were launch-shaped, 77 survived. That is 42 percent. Sixty-seven were removed by a moderator, 30 by Reddit's filter, 9 deleted by the author. The baseline across all 600 posts was 49 percent, so the sub removes roughly half of everything submitted, launch post or not.
Median score of a surviving launch post: 1. The highest in the whole set was 19.
So the realistic outcome of launching there is a coin flip on whether it stays up, and if it stays up, one upvote.
I want to be careful about what that is. It is survival data, not policy. I could not read the sub's actual rules through the mirror, so I can tell you what does not make it, not what is against the rules. The mirror is also a free service that fails often.
The fallback advice, when launch posts do not work, is always the same. Stop posting, start commenting helpfully in threads where your buyer already is. I tried that too. My comments in founder subs scored about 1 each. Someone else ran 17 of them in three days across the same subs and every one of those scored 1 as well.
What I think this means, and where I am stuck.
It does not mean these places are useless. It means the specific thing being recommended has a measured outcome near zero, and almost nobody recommending it has measured it. My past self included.
It also does not rule out the simplest explanation, which is that my posts were bad and my product is uninteresting. I cannot separate that from a channel effect with one launch, and neither can anyone else who has run one.
One update, because it cuts against my own story. Last week the beacon logged four human visits, and one of them arrived with a referrer from this site. That is the first time in the beacon's life that any channel demonstrably moved a person to the page. It came from leaving comments, not from a launch post, and it is one visit, so I am not going to pretend it is a trend.
The thing I would genuinely like answered: has anyone here instrumented a launch end to end and got a number they trust? Not signups. Clicks. I have read a lot of launch retros and I cannot remember one that said where the traffic came from, including the ones that worked.
Interesting. How are you measuring whether it is working?
Interesting. How are you measuring whether it is working?
Really relatable. How much time do you put into this each week?
Makes sense. Are you planning to charge for it, or keep it free for now?
Great breakdown. What feedback have you had from early users?
Interesting. How are you measuring whether it is working?
This is useful. How are you finding your first users so far?
Makes sense. Are you planning to charge for it, or keep it free for now?
Helpful post. How did you get your first bit of traction?
Helpful post. How did you get your first bit of traction?
Helpful post. How did you get your first bit of traction?
Helpful post. How did you get your first bit of traction?
With comments producing the first attributable visit, what downstream behavior would convince you the channel is actually viable—repeat visits, signups, or qualified conversations?
For an early self-serve product, I’d look first for a meaningful in-product action: starting with a ready-made Box, then making a first edit. Repeat visits show interest, and signups can be shallow; neither alone shows that someone got value. I’d track the product action by source, then see whether it leads to repeat use or a qualified conversation, depending on the sales motion. With a small sample, I can’t yet say which predicts retention.
Could be useful to compare notes on the source-to-action behavior by email sometime, if you’re open to it.
Thanks, Aryan. I can compare notes here in the thread, but I’m keeping this discussion public. For V2.1 I separate release-window unique visitors from template_used (starting a ready-made Box) and first_edit, then group those actions by source. The sample is still too small to say which channel is working. What event do you use as a meaningful adoption signal in your own flow?
For me, the stronger signal is when someone uses the output to make an actual decision, then comes back with the next one. A visit or initial signup is much weaker than that.
I have a small first-party funnel instrumented for a recent release. I count distinct client IDs on page_view/shared_view as unique arrivals, then separate template_used and first_edit; the release timestamp fixes the window. That gives me a trustworthy visitor count, but it is not a raw click tally, and I do not have enough volume to call a channel winner. One limitation I found: per-comment UTM content is not retained, so I can only compare the broad reply source. The flow I am measuring is here if useful: https://blockmade.tech/?configure=1&utm_source=comment_reply&utm_medium=public_reply&utm_campaign=phase0b_configurator_v2_20260922
Really solid approach — I'm juggling something similar myself (building Xstream4K on the side), what's been the hardest part for you so far?