23 days of distributing a SaaS. Here's exactly what happened.

This is exactly the distinction I’m trying to make for myself right now.

distribution feels productive because there’s always something to publish, but early on I’m increasingly convinced that 10 real conversations are worth more than 100 posts into an empty room.

I’m building a SaaS too, and for the next few months I’m deliberately prioritising usage + feedback over MRR.

Did you notice any common pattern among the people who actually signed up versus the ones who only showed interest?

It sounds like you're in that tricky phase where the effort doesn’t seem to yield immediate results, which is something I've faced too. When I first launched my SaaS, I also leaned heavily on content creation, only to realize that building traction takes more than just consistent blogging.

One thing that helped me was focusing not just on content, but also on actively engaging within niche communities where my target audience hangs out. I found that participating in discussions, sharing knowledge, and subtly showcasing the benefits of my product led to more meaningful connections than simply pushing my content.

Another strategy I adopted was creating a lead magnet something like an eBook or a checklist that addresses a specific pain point for my audience. This gave me something to offer in exchange for emails, which later helped me nurture leads more effectively.

I also experimented with direct outreach to potential beta testers, and that proved rewarding. When you reach out, don't just sell your product; ask for feedback on your ideas or even on a draft version. This makes prospects feel valued and part of the process, which can lead to organic word-of-mouth promotion.

Finally, don't underestimate the power of iterative improvements based on user feedback. After launching, I utilized analytics to observe which content was driving engagement and adjusted my strategy accordingly. This resulted in a notable increase in both traffic and user sign-ups over time.

Keep pushing through finding that right balance between content and community engagement takes time, but it can lead to significant results!

Awesome information that applies directly to my launch I am running right now, thank you! I am starting with no existing following so this hits home and right now that I have it on the internet am beginning the focus on the warm outreach, and meeting my customers where they are actively engaging already.

The hidden variable here that nobody has named yet is that you ran this as a deliberate experiment from day one — and you still almost got fooled by measurement bias. You went in knowing distribution channels have different time horizons, and by day 23 you were still ready to call directories dead and Quora useless. That's not a mistake, that's a data point about how strong the pull toward short-horizon measurement is, even when you're consciously trying to resist it.

JacobPark's per-channel clock framing is the right fix, but I think the bigger lesson is upstream of that: the only reliable counterweight to measurement bias is a written experiment design you commit to before you start. Without it, every founder will eventually optimize toward whatever produces a number this week — and that's almost never the channel that wins.

This is really useful to read, especially the distinction between “distribution” and actually having conversations with potential users.

I'm building my own SaaS right now, Postlefy, and I've been thinking a lot about the same problem. It's very easy as a developer to keep improving the product because building features feels productive, while talking to potential customers is much more uncomfortable.

Your point about broadcast distribution being difficult without an existing audience really stood out to me. I think I need to spend more time talking directly to people who actually have the problem I'm trying to solve.

Thanks for sharing the numbers honestly. 8 real signups and knowing exactly where they came from is probably more valuable than thousands of impressions with no idea what converted.

This really highlights how much distribution changes when you don't already have an audience. I've seen a similar pattern with GeekyAnts projects direct conversations and genuine community participation often create more useful product feedback than simply publishing everywhere.

Interested to try it

This mirrors what i'm seeing in pre-launch. Spent time on research instead content and got real signal, genuine responses from target market. Zero from posting broadly. The direct conversation point hits hard. Going to double down on that instead of chasing channels.

The directories line matches what I measured, and I think there is a mechanism worth naming behind it.

I screened fourteen directories from a list that advertised free listings with followed links. Eight had a pricing page I could read. All eight gate the followed link behind one of three things: a paid tier, their badge installed on your own site, or finishing in the top three of a weekly vote. Free listing yes, link equity no, in every single case I could verify.

That reframes what a free directory listing actually is. It is not a search asset, it is a page that may or may not send you a human. You measured the human part and got zero, which is the honest end of the story for that channel.

The one thing I would push back on gently is "zero signups I can trace". I have the same gap and it took me a while to admit it is a gap rather than a result. My store gives me an installed count, not a source. So a channel producing nothing traceable and a channel producing nothing are indistinguishable in my setup, and I stopped letting the first stand in for the second.

I build a Gmail extension and run its distribution myself, so the directory numbers above are mine, measured this week.

I want to pick at one sentence: "Directories, Reels, Quora, and Twitter produced zero signups I can trace."

"Can't trace" and "didn't work" are different things, and on day 23 you have no way to tell them apart. I'm not saying build attribution. At eight signups that's a waste of your time. I'm saying don't let the current traceable numbers decide which channels you kill.

The product of mine that actually makes money grew on search. The directory submissions I did in its first three to six months showed up as zero in any "signups I can trace" column at the time. Their value wasn't in the clicks, it was in the rankings six months later. If I'd allocated my time on day 23 by counting signups per channel, I'd have cut the only channel that ended up working.

The reverse is also true and more common. When I finally did wire up first-touch attribution, more than a year in, the section I'd poured the most time into turned out to contribute almost nothing. The thing I was confident about was the thing that was dead.

So you're in the worst version of this: not short on data, but short on data that supports a conclusion in either direction. The one thing I'd do now is write down, per channel, the earliest date it could possibly show a result. Direct conversations: same day. Directories and SEO: three to six months. Then only compare channels against others on the same clock. Judging a six-month channel by a same-day standard always ends in cutting it, and on day 23 that verdict can't be right yet.

Also, your exchange with Ozzie is the most valuable thing in this thread. You admitted you led with what you could prove instead of what actually matters. That mistake costs more than picking the wrong channel, and not many people catch it in themselves.

One thing I’m curious about — have you considered trying paid advertising, like Google Ads, to acquire users? I’d be interested to hear whether you’ve tested it or decided against it for a particular reason.

So, is it still more suitable to directly connect with major clients than social platforms? So how did you find these big bosses?

Finding the right and effective promotion channels is very important, and I’m also still searching for them.

the "8% on AI detectors" framing might actually be working against you. it positions the product around evasion rather than quality, and the people most likely to pay for cold outreach tools care about reply rates, not detector scores. if the output genuinely converts better than ChatGPT-written sequences, that's your headline — not the detection angle.

your 1:1 insight is the real gold here though. almost every early-stage B2B tool I've seen gets its first 10 customers from conversations, not content.

Relying solely on content creation to market a SaaS can be tough, especially when starting without an existing audience. It's disheartening to be consistent and see little traction, which is a hurdle many founders face. Reaching out directly to prospective beta testers in dedicated communities like Skool feels like a much more proactive and practical strategy. Appreciate the insights.

This is one of the hardest lessons for founders, direct conversations can bring immediate revenue, while consistently posting in communities often won't. But those posts build your reputation, strengthen your discipline, and create opportunities that compound over time. The returns may be delayed, but they're rarely wasted.

This is the most useful thing I've read here this week, and the timing is uncomfortable — I'm roughly one day into distributing my own thing, with more or less the plan you just described as a mistake.

One thing I'd push back on gently, though. You frame the lesson as broadcast vs. direct conversation. But the thing that produced your biggest spike — the beta tester post you ran across every Skool and Discord community — was broadcast. Same content, same one-to-many shape as the Reels and the directory submissions. It just landed in rooms that were already assembled around a shared problem.

So maybe the variable isn't broadcast vs. 1:1. It's whether the room had a reason to exist before you showed up. A directory listing and a Quora answer have no shared context holding them together. A Skool community does.

Which makes me curious about one detail: in those Skool and Discord communities, were you already a participant, or did you drop the post in cold? That seems like the thing that decides whether the tactic is repeatable for someone starting from zero — and it's the part I'd most like to get right before I burn three weeks the same way you did.

This is honestly one of the more useful breakdowns I've read on here. I'm 6-7 days into something similar (organic, zero-budget) and have mostly been doing broadcast-style stuff — Reddit, blog posts, directories — which lines up with what you're describing as low-signal.

Curious about the direct conversations part specifically — how did you find the first few people to actually talk to? Cold DMs, people already in your network, communities you were already in? And did it feel as awkward starting out as it sounds, or did it get easier once you had a couple of real conversations under your belt?

This matches almost exactly what I saw building Henson Group out of a one-bedroom apartment: the first real customers came from sitting across from one person and solving their actual problem, not from any channel. I tell the founders I back at Henson Venture Partners the same thing you just learned the hard way: kill the content calendar until you have 10 real conversations lined up, then let content amplify what's already working instead of trying to create pull from nothing.

Your distinction between distribution effort and distribution effectiveness is the useful part here. I’m seeing a similar pattern while building a short, high-pressure assessment-prep product: broad posting can create activity, but the clearest signal comes from conversations where someone can describe the exact moment of uncertainty and what they would trust before a deadline. I’m now treating each channel as a hypothesis: did the right people see it, understand the problem, and take the next step? The 24,000-member community sounds more promising than another directory listing, but I’d still validate the audience before counting it as reach. How will you verify that the members actively run outbound campaigns rather than simply sit adjacent to that market?

This really resonated with me. I’ve just launched my own product too, and I’m finding it much harder than I expected to get it in front of the right users. It’s easy to spend a lot of time on distribution because it feels like progress, even when it doesn’t lead to real conversations.

The part about focusing on a few genuine one-on-one conversations instead really stuck with me. Thanks for sharing the numbers and your experience so openly.

Just wrapped up building my own SaaS and honestly, distribution feels way harder than the actual build. Did one channel clearly outperform the others for you, or was it more about doing a bit of everything consistently?

This is timely for me because I’ve just finished setting up a measurable funnel for a consumer product I’m validating: landing → product detail → buyer intent → lead form → submit.
What I’m trying to avoid now is confusing “traffic” with “signal.” Your breakdown reinforces that distinction really well.
I’m curious about one thing: if you were starting again with zero audience, would you still spend any time on directories at all for the indexed presence, or would you skip them entirely until you had a clearer ICP and a few direct conversations first?

Really valuable breakdown, Muhammad. Congrats on sticking with it, and thanks for sharing the numbers so openly.

The biggest takeaway for me is that early-stage distribution is less about being everywhere and more about getting close enough to users to learn why they would actually pay. The agency owner giving feedback and seeing the feature shipped the same day is probably more valuable right now than thousands of low-intent impressions.

I’d keep leaning into those 1:1 conversations until the same pain and buying trigger starts repeating.

This is a strong post-mortem because it separates motion from signal.

A lot of early distribution feels productive because it creates artifacts: posts, directory listings, reels, threads, newsletters. But the only thing that changed your product direction was a conversation with someone close enough to the problem to create evidence.

The way I’d frame the next 7 days:

• Don’t ask “which channel gets impressions?”
• Ask “which channel creates a conversation with someone who can describe the pain in their own words?”
• Then ask “which of those conversations changes what I build, sell, or stop doing?”

For a tool like ColdCraft, I’d probably measure fewer things at first: number of real sequences generated for a real business, whether the person uses/edits/sends them, and whether they ask for the next batch.

That tells you more than traffic because it tests the job-to-be-done, not just curiosity.

This is also the reason I’m building around validation: founders need a way to distinguish activity, feedback, evidence, and actual decision-changing signal. They look similar during the grind, but they are very different.

This matches what I hit this week trying to post about a small $19 guide I put together — the post just disappeared into a subreddit where I had zero history, no traction at all. Your line about broadcast only working once you already have an audience is the part that stings but is obviously true. Going to try your approach and actually talk to a handful of people instead of spraying it across more places.

The focus on AI detection scores is a unique value prop, but it might be worth reconsidering if that's the primary pain point your target users are willing to pay for. It proves the tool works, but does it solve the core business problem of booking more meetings or closing more deals? I suggest picking 5 leads, manually generating sequences for them using your tool, and offering them the output for free in exchange for a quick call. It's much easier to convert someone when you've already delivered the value and can prove it directly impacts their bottom line, rather than just showing them a lower detection percentage.

This is one of the more useful launch post-mortems I've seen because you separated activity from actual distribution.

The biggest takeaway for me is the distinction between broadcast distribution and relationship-driven distribution. Posting everywhere can create the illusion of momentum because you're constantly shipping content, but if the people seeing it aren't your ICP or don't have enough context to trust you, it rarely converts.

The 24,000-member community conversation is particularly interesting. One person with genuine access to your target users can be worth more than hundreds of directory submissions.

I also think there's a second lesson here: when someone gives you feedback and you ship it immediately, the conversation changes from try my SaaS to let's solve this problem together. That seems much more valuable at this stage.

So much respect for insights and sharing the raw numbers. It’s a great reminder that distribution without targeting or an existing audience is just noise. Focus on those direct conversations - that’s where the real signal is

Your directory line is the one I can put a number against, because I ran that experiment this week on one of the platforms you listed.

Launched a dev tool on Peerlist's weekly board on Monday. Over the full week it drew 34 views, 10 upvotes and zero comments, ending around rank 150. Not a single signup I can attribute, and worth being precise about why: the project's website field was the bare domain with no campaign parameters, set weeks before I thought about tracking, so if anyone had converted it would have landed in direct anyway. "Zero I can trace" and "zero" are different claims, and on directories most people only ever have the first one.

Which I think supports rather than softens your conclusion. A directory row is a permanent, indexed page that costs an hour once. It's a decent artifact and a bad channel, and the mistake is budgeting it as distribution. Your beta-tester post landing 12 people on the site at once did more in a day than 22 listings did in three weeks, and that ratio is the actual finding here.

sadly the link is 404: NOT_FOUND, but you can make a redirect or edit the link on this post.

The line that stuck: posting daily gives you something to do, it does not give you customers. Without an audience, broadcast channels mostly measure activity, and your own numbers already show where the signal was (same day community push, then real 1:1 demos). If I were planning the next 23 days I would cut the channel list hard and only keep experiments that can answer one question: how many people in the actual ICP saw this, and of those, how many tried it.

The core lesson is right: broadcast only amplifies existing reach. Without an existing audience, content is a slow drip into a dry channel. That observation is worth writing larger.

But I'd push back slightly on the framing. "Find 10 people to have real conversations with" is correct but incomplete. The better version is: find 10 people who each know 50 of your exact customers. The community admin with 24,000 members in your target market isn't a warm conversation — that's the whole distribution strategy. If you close that person, not as a customer but as a partner, you've unlocked what 6 months of content couldn't. That's not a sale, it's a multiplier.

The irony I'd flag: you built a product that improves cold outreach, and the data you just shared proves that warm relationships outperform cold sequences for early-stage distribution. That's not a contradiction — that's your entire case study and it belongs in your marketing.

"We tested 22 channels including the product we built. Direct warm conversations won. Here's why that changes how we think about sequences." That post would drive exactly the audience that needs what you've built.

Building Genie 007, I hit the same wall at day 30. The turn came when I stopped posting content and started having conversations with the people who already had the audience I needed. How close is the agency owner to becoming a channel partner rather than just a customer?

The "zero traction across 22 channels" number tells a specific story - it's not a distribution problem, it's a targeting clarity problem that distribution just made visible.

When you post a product that solves "cold outreach at scale" on Instagram Reels and Threads, you're reaching people who aren't building companies, aren't hiring, aren't running sales teams. They see it, know it's not for them in 3 seconds, keep scrolling. That's not a funnel leak - that's correct filtering.

The real question isn't "which channel works." It's "of the people who actually raise, hire, and run sales processes, how many saw this?" That's your real denominator. If you reached 50k founders and got zero signups, that's a product clarity problem. If you reached 2k people who run sales (even across 22 channels), and got zero signups, that's a targeting problem revealing a product problem.

The measurement system you built (channels tried, daily posts, directories submitted to) is measuring distribution effort, not distribution effectiveness. What you need to measure is: "How many people in my actual ICP saw this, and of those, how many tried it?" That number would tell you whether the problem is reach, targeting, or product.

You’ve collected a lot of signal across different channels in only 23 days.

What made you decide that the direct conversations were the signal to follow rather than just another early distribution experiment?

The direct conversations are not just a channel result; they are evidence that the product needs a tighter sales-assisted loop. Define one target buyer, use one real prospect to generate the sequence together, then ask for payment before leaving the call. Track conversation to completed workflow to paid use. The AI-detector score may attract attention, but the buying outcome is more replies or meetings, not sounding statistically less synthetic.

This maps almost exactly to my last three weeks — I'm ~25 days into distributing a summarizer extension. Same shape: directories and broadcast posts produced views but ~zero signups I can trace; what moved anything was comments in threads where people were already describing the problem, and one community post that landed the same day people were active. Two things I'd add from my side of the same trench: (1) tag every link with a per-post ref — "what actually produced signups" stops being a guess, and it's how I found out my best-performing channel was one I almost dropped; (2) the drop-off after signup taught me more than the signup count — half my activation problem turned out to be a literal bug, not motivation. Your "10 real conversations" conclusion matches my data too. Curious what the community admin conversation turns into — that 24k group is worth more than every directory combined.

This is a good reminder that distribution volume and real customer conversations are two very different things.

Especially early on, I think 10 honest conversations with the right people can teach you more than posting across 20 different channels.

The fact that direct outreach and live demos created the strongest signal here says a lot.