Six months after launching Leado, here's what surprised me.

This hit home. The “sounding like AI” trap is so real—Reddit has a sixth sense for it. One whiff of GPT-ese (“Navigating the nuances of…” or “Thanks for sharing your thoughts!”) and you’re done. The community will eat you alive.

What you’ve landed on is the sweet spot: AI for the heavy lifting (finding the needle), human for the nuance (threading the needle).

I’ve noticed the same thing—a few genuinely helpful replies in a subreddit where my ICP actually hangs out will outperform 500 cold emails every time. It’s the difference between interrupting someone and helping them.

One small thing I’ve found helps with the “human” factor: I always try to include a tiny bit of personal friction or a specific detail I relate to in the reply. Instead of just saying “I help with X,” I’ll say, “Ugh, I remember fighting with [specific technical issue] for a week back in ‘22—what finally worked for me was Y.” It’s those little imperfections that make it feel like a person wrote it.

Out of curiosity, how are you handling the “review” step for users now? Is it a simple text editor, or do you give them alternative phrasings to choose from? That middle ground between automation and control feels like the future for these tools.

The "review and edit everything before posting" step is doing more of the real work here than the drafting model, in my experience. AI-drafted replies rarely fail by sounding robotic anymore, that part's mostly solved. They fail by saying something technically relevant but slightly off from what the person actually needs, and if you're reviewing forty of these a week, editing quality drifts because you're skimming instead of really reading each thread. Curious how you're getting users to actually slow down at that step instead of treating it as a rubber stamp, since that seems like the part most likely to erode as volume goes up.

On the actual question: Reddit's been more useful to me as a place to notice patterns in what people are frustrated by than as a direct lead channel. A handful of good replies here and there, sure, but the bigger value has been seeing the same specific complaint surface across different threads and treating that as signal for what to fix or build next, not just who to pitch.

That's an interesting reflection. I'm not even sure ifs mainly about AI. I mean, yes for sure, it's a big part of it. But I'm wondering if it's just an amplifier of an underlying issue, that would be still there without AI. That issue is, you want to make your product known. That's more then legitimate. That's the start of everything. Even if the product is shitty and nobody wants to spend a penny. Without nobody knowing about it, you obviously don't have a chance to find out - whether brilliant jackpot, or piece of shit.

But that brings a dilemma with it. It's usually not a natural way, and most of the time requires a marketing approach. It's a bit like a door-to-door vacuum salesman, getting the doors slammed to his face, because there is a reputation talking people into something (basically there is no substance behind it). The guy might hear the community is having a celebration, and that he will be better off going there and getting to know the people first. He might be a very humble and likeable guy with an interesting live story. Furthermore the vacuum might be a great deal after all and the guy is just trying to make money for his living (basically there is substance behind it).

But whether clumsily ringing doorbells, or going to the community celebration and elegantly rocking the dance floor, it's still driven by the same objective - selling/marketing. But I guess that's all fine, the difference is the process how to relate to people and if that's genuine or not.

Really enjoyed this one. The bit about AI replies sounding too "markety" and killing trust, that's such an honest thing to admit, and it's exactly why adding a review step before posting was the right call. Reddit users can smell a sales pitch a mile away, so slowing down to actually be helpful first makes total sense. "Discovery wasn't the bottleneck, trust was" is a great line, feels like it took real trial and error to land on that. Nice work, thanks for sharing the honest version of the journey instead of just the highlight reel.

To answer your question, mostly organic content and community posts for us, Reddit included. It's slow, but genuine replies still beat cold outreach every time.

I literally couldn't post any replies on a sub Reddit because of the bot that flags ai

Even when I wrote them myself

The "sounded like AI" problem is the whole game, and I live it daily building SocialPost.ai. What fixed it for us wasn't better prompts, it was feeding the model the user's actual voice and forcing a human review step, the same call you made. The counterintuitive part: adding friction with review-before-post increased usage, because people trust a tool more when it refuses to embarrass them.

I like the review first approach. That is probably why the replies feel more natural. One thing I would add is a short reason with every suggested reply. Show why the tool picked that Reddit post and what problem the person is trying to solve. That helps users learn instead of just copying AI text. I have found that the best Reddit comments are the ones that answer the question first. The product mention should come only if it really fits.

Congrats on the progress, Leado sounds like a solid pivot, moving from "generate instantly" to "review before posting" is exactly the right call. Reddit users can smell canned AI replies from a mile away, so building in that human-editing step probably did more for your conversion rate than any prompt engineering could.

To answer your question: Reddit has worked well for us too, but only when the reply adds value before mentioning the product, same lesson you landed on. What's worked better than cold outreach for me has been engaging in niche subreddit threads where someone's actively describing a problem, then following up with a soft mention only if it's relevant. Communities like IndieHackers and niche Discord/Slack groups have also surprised me, slower, but higher trust and better conversion than paid ads.

Curious how you're identifying "high-intent" threads, are you using keyword matching, or something more semantic (like intent classification)? That's usually the hardest part to get right without flooding yourself with false positives.

honest answer from doing this the manual way: finding the threads was never the bottleneck for me either.

two other things bite instead. the first is that a genuinely useful reply is usually one only you can write, and those threads are rarer than the intent signals suggest. any tool will surface more matches than you can answer well, and answering one badly is worse than staying quiet, because the sub remembers.

the second is account gates, and i think that one matters for your onboarding specifically. the subs actually worth replying in filter new and low-karma accounts, sometimes silently. so a new user can install leado, get a perfect match, write a genuinely good reply, and have it removed without ever being told. they will conclude the tool does not work.

if leado could surface that before they hit post (sub karma and account age minimums, whether their recent comments are still visible when logged out) it would be properly differentiated. it is the failure mode people cannot diagnose on their own, and it has nothing to do with the quality of the reply.

Nice that sounds a lot like what I been going through with trying to get started.

the useful test for a draft is: delete the product line. if it still deserves to be in that thread, then it might actually help. if not, it’s just a pitch with nicer grammar.

i’d also track follow-up questions from the OP, not reply count. someone asking ‘wait, how would i do that?’ is probably a better signal than 20 upvotes.

Your product sounds really interesting. In the AI era, where marketing is becoming more important than development itself, a product like this has a lot of potential.

The biggest insight here is that the bottleneck wasn't discovery, it was trust.

A lot of growth tools optimize for volume, but communities usually reward relevance and timing. The interesting question is whether this approach can extend beyond Reddit into other founder-led channels.

As someone who freshly launched I appreciate this post so much

Leado UI is interesting , Look forward to what you are building.

lol this hit close to home. I'm currently locked in a battle with Reddit's spam filter over a post that has literally zero marketing language in it. New account + outside link = instant "removed by filters," no trial, no jury, just gone. Meanwhile I'm sitting here like "but I said please 😭"

Kind of ironic that you built a tool to help people NOT sound like an ad, and the platform still treats you like one anyway just for being new. Reddit really said "guilty until proven innocent."

To answer your question — no idea yet if Reddit works for me, I haven't even made it past the bouncer. Ask me again once I'm allowed inside the club.

Really interesting — using Reddit conversations to find first users is smart. With Finsight AI, I’ve found that real community signals often reveal pain points faster than surveys. Curious, how do you filter noise from genuine demand?

I suffered Identify Theft, and there are so many debts, negatives and collections on my credit that need to be removed. Even taxes were filed in my name, so I couldn’t even do them myself. I have dealt with many credit repair agencies, most are dishonest and not helpful. DHL CREDIT SERVICES was the only agency to successfully repair my credit score. Frank of DHL CREDIT SERVICES is kind, honest and trustworthy my credit report was fixed shorter than I thought was possible. Looking for solution to your credit report? Contact DHL CREDIT SERVICES.

Email: DHLHACKS (at) GM,AIL (dot) C,OM

TikTok: dhlcreditservices

Telegram: dhlservices

How did you finally avoid it sounding like AI? Any key unlock?