I built a SaaS in 10 days. 3 weeks live. 0 paying customers. Here's the data.

the meta-irony of writing linkedin posts about a tool that writes linkedin posts is genuinely your best hook and you're burying it. that one observation is more scroll-stopping than any feature description. also 10 dms is nowhere near enough sample size to learn anything — that's just variance. the premium trial targeting people who literally said "i haven't been posting" is the right move though, that's the closest thing to real intent you can find. what does the free demo drop-off look like — are people actually trying it or bouncing before they even get there?

3 weeks isnt panic, its noise — but cold dms to ppl who never asked isnt validation either way imo. the harder q is whether 'sounds less like ai' is something ppl actually pay for, or just a feature they nod at. bootstrapped hosting for 18 yrs and the lesson was always: ppl pay for outcomes (more replies, booked calls), not for craft. could u reframe postdew around 'posts that get replies' and measure that on ur own page first? the ai-tell strip-list is table stakes, not the buying reason.

Following up on my earlier comment with the brutal feedback you asked for. I ran an audit of your landing page and here are five specific fixes, free.

1. Headline contrast. "Protect your LinkedIn credibility" is dark gray on near-black. It's barely visible above the fold and most visitors will scroll past the value prop without reading it. Bump the headline to white at 92% opacity and you'll instantly raise the percentage who actually engage with the message.

2. Two competing value props. The page title says "Ship LinkedIn posts without thinking about LinkedIn." The hero headline says "Protect your LinkedIn credibility. Post in your voice, not ChatGPT's." Two different promises (convenience vs. reputation defence). Pick one and commit. The credibility framing is sharper because the fear of looking AI-generated is more visceral than the desire for convenience.

3. The "Now in private beta" badge above the headline is killing conversion. It tells the visitor "this might not work for you right now." Same length, opposite signal: "First 100 founders get 50 percent off" or "127 founders posted this week." Either signals momentum instead of friction.

4. No CTA in the hero. "Get started" is hidden in the top-right nav, which mobile visitors don't see at all. Add a primary button directly under the headline (something like "Try free for 7 days") with a secondary "See a sample post" link below it. Right now your hero is asking visitors to scroll to find out how to convert — a 30 to 50 percent drop-off.

5. No social proof above the fold. Even ONE pull-quote ("My CMO finally said this finally sounds like me" — @realname) would beat your entire "How it works" section. If you don't have a quote yet: offer 3 free seats in exchange for one. People in your DMs will say yes within the day.

On the wider "0 customers in 3 weeks" issue: the IH comments here have already nailed it (warm DMs beat cold DMs, build in public on X for compound visibility). I won't pile on. The landing-page fixes above are the leverage on the small percentage of visitors you ARE getting.

Good luck Manish — the meta-pitch ("my product fights the cadence ChatGPT trained you to use") is genuinely good, and the fixes above are about making sure visitors can actually read it.

Manish, 3 weeks with 0 sales usually means your outreach isn't targeted enough. I specialize in building Python automation for high-intent lead generation. Instead of manual hunting, I build systems that scrape and filter leads based on real-time signals. I've seen this 10x the conversion rate for new SaaS products. If you're tired of manual outreach, I can show you how I automated this for other B2B startups.

The 10-day build is the easy part — nice hustle. Curious what your data shows on trial signups vs. just visitors? Understanding where the drop-off happens might be the more useful number at this stage.

I know how tough it is when the build is done but the customers aren't there yet. I actually know a few founders of content creation tools who'd probably be happy to answer your questions, I could ask them for you.

That's exactly what I need

Honestly 3 weeks is way too early to
panic. Most content tools find their
first paying users between week 5 and 8
when someone shares it without being
asked.

That paragraph about
dog fooding a LinkedIn tool with zero
customers is the best copy on your whole
page. Post that exact paragraph on
LinkedIn this week and see what happens.

This is painfully relatable.
I'm at the very beginning of my journey (just launched my first small digital product) and the “building vs distribution” lesson hit me immediately.

3 weeks honestly feels like pure statistical noise to me, especially in the content/creator tools space where trust and habit take time to build.

One thought: instead of cold DMs pitching the tool, have you tried turning the DMs into customer interviews first? Something like “I’m researching how people struggle with LinkedIn posting” rather than offering the product right away.

Feels like the first 10 users in this niche might come more from conversations than promotion. Curious to see how the LinkedIn Premium experiment goes.

The 30-40 HN visitors with 0 signups is telling you something important—but you can't act on it without knowing where they dropped off. Before burning a LinkedIn Premium trial on 50 DMs, I'd instrument your demo flow properly: did users reach the generator, run it once, actually copy the output, come back a second time? For content tools, the gap is almost always between 'tried it' and 'saw the value on their specific use case'—not the outreach script. You're already using Supabase Postgres which means the data is there; a few event-tracking queries can surface exactly where the funnel breaks. I work with SaaS founders on this kind of data analysis regularly—also have a free SQL diagnostic scripts pack that covers funnel and event tracking queries → https://growthwithshehroz.gumroad.com/l/psmqnx

"The 0 signups from 30-40 HN visitors tells you everything — it's not a traffic problem yet, it's a messaging problem. People landed and couldn't immediately understand why PostDew beats just editing the AI output themselves. The value prop needs to hit in 5 seconds. Keep going though — shipping and sharing this openly is already ahead of 99% of builders."

Building an AI product in a month with zero CS background and real financial pressure. The “building and selling are different sports” hit exactly right. What I’m learning: the product being genuinely different matters less than finding the 10 people who feel the pain viscerally. For us that’s continuity in AI — people who feel how broken it is that every conversation resets. Still hunting those 10.

You are running a content tool playbook with no content tool distribution. 10 DMs is not a marketing test, it is barely a warm-up.

Pick 5 founders or operators with 5K to 50K LinkedIn followers who post inconsistently. DM them with a polished post YOU wrote about THEM using PostDew, free, no ask attached. If two of them post it, you will get more inbound from one good post than from a hundred cold DMs. I run SocialPost.ai so I have run a lot of variations of this loop.

On the panic question: 0 customers in 21 days is statistical noise if you are doing real distribution. The signal worth tracking is whether people who try the demo come back. That number tells you whether the product is sticky.

The meta-irony you flagged is your best marketing asset. 'I built an anti-AI LinkedIn tool and I am bad at LinkedIn' is more interesting than the product itself. Lean on that, that is your wedge.

the meta-irony you mentioned is actually the strongest signal you have. for a product whose whole pitch is 'strips the AI cadence,' your launch post IS the public claim. if your IH post / launch tweets sound human, that's louder than any feature page. flip 'marketing as afterthought' to 'marketing copy is the live demo.' write your own LinkedIn posts the way you want yours to read, watch where they land vs ones generated by the tool. that's both your acquisition channel and your training signal in one.

0 paying customers is just a phase. Hopefully it will improve, you are on a good road

same problem for me ha - The realisation of standing in the middle of the desert with a shiny new website is a bit of a downer when it hits in. But! The show must go on and I must stick with it until all the bricks are in place. SEO is a big part of it and then if all that fails advertising. I have an affiliate program as well just to try and give the site a little more juice :)

Is that all the marketing you have done so far? Can you let us know what else you have done for 3 weeks?

Built mine in similar time and saw the same shape. The interesting data isn't 0 customers it's the trust delta between someone clicking signup and someone reaching for their card. I track conversion not from impression to install but from third visit to actual paid use, because the first two visits are noise either way. Distribution didn't fail; the trust ramp didn't have a step where the tool earned the next minute of attention. Cheaper to fix than the funnel above it.

Building Fenly, an AI translation extension, similar phase (single-digit users, 3 weeks in). My main learning from a parallel thread last week: the real competitor isn't ChatGPT or another tool. It's the user's existing habit of pasting into ChatGPT and manually editing in 30 seconds, which is mentally free.

That reframe was the hardest part of my pitch to fix. Saying my product is faster doesn't beat the fact that their habit is already in their head. For PostDew the implication might be the same: the wedge isn't whether you strip AI cadence well, it's whether using PostDew feels less like a workflow break than the manual edit they already do without thinking.

Your new hero is already moving that direction. Anchor it harder to the specific moment when someone just generated something and realizes it sounds like AI, and you're solving friction they actually feel.

The day-job probation lock on your personal LinkedIn is probably your biggest distribution constraint right now, bigger than the DM volume or pricing. Content tools convert mostly through founders demonstrating their own output buyers see your posts written with your tool, like the natural cadence, then connect "what are they using". Company page and Twitter are distant 2nd best because the proof loop breaks- a LinkedIn buyer wants to see LinkedIn output from a real person account.

Soft fix while probation holds: find someone in your ICP (fractional CMO posting weekly) and trade free pro for them being the public face of the dogfooding loop. Their account becomes the case study you cant make with yours. One credible user posting visibly probably converts more than 50 cold DMs from a side account.

I'm working on some tools and websites as well. Development is moving fast, but promotion is slow. It feels like user adoption is low, or the products just aren't getting enough visibility.

I agree with everyone here saying that it is too early to post, I genuinely think your idea is good, it just needs to meet better your audience. I didn't dive deeply but two things stand out to me:
(1) Amazing design and good idea
(2) No free trial - not sure if it is worth it.
My recomendation would be to give a 7 day free trial.
Best of the luck :)

Waaay to early to panic. You need 10X this much effort in 10x more channels before you start to worry.

Very inspiring, all the best. Keep posting.

3 months live.0 paying customers

You said it perfectly - Building and selling are completely different things, and just cause you're not selling doesn't mean you should abandon what you've built...
I'm not saying there's no connection between the two, and it's always good to evaluate if your product is actually validated or just sounds cool, but I'd suggest to work on your distribution and get some actual customer feedback just to confront the question of whether you built something people want.
Anyhow, maybe instead of generic cold outreach, rewrite someone's post with PostDew and send them the before / after... If it's a good product I'm sure it'll grab their attention
Much luck man!

Zero customers in 3 weeks isn't failure — it's data. The fact that you shipped a full SaaS in 10 days while working a job puts you ahead of 90% of people still 'planning.' The AI content detection angle is actually timely. People are tired of ChatGPT cadence. Question: have you tried selling it to LinkedIn ghostwriters directly? They're the ones who need an 'undetectable' tool most.

The agency/ghostwriter pivot in your replies is the right call, individuals can paste into ChatGPT themselves, agencies running 50 accounts can't audit every post manually. That's where the volume and the willingness to pay actually lives.
One thing nobody's mentioned yet: the distribution channel that works fastest for tools like yours isn't cold DMs or Show HN, it's getting the right creator to demo the before/after moment visually. Someone pastes an AI-sounding post, PostDew strips the rhythm, result is instant and obvious. That's extremely watchable content.
We run exactly this kind of distribution. Helped a SaaS app hit 200M+ views across TikTok and YouTube, top-tier countries, $40k investment, 10x+ ROI. For PostDew the visual payoff is perfect. Happy to show you what that looked like.

Respect for the honesty, Manish! 3 weeks is definitely just noise—don't panic yet.

I'm also building an AI Math Solver for macOS and faced the same realization: building the tech was the easy part, but finding the first users is the real challenge. Like you, I’m using my own tool daily to verify logic, so I know the value is there—it’s just a matter of getting it in front of the right eyes.

Good luck with the LinkedIn Premium trial, that volume should give you some real data!

Believe me, you didn't build a SaaS in 10 days. You did something else

The "building and selling are different sports" realisation in week 3 means you're ahead of most people. 10 DMs is noise, not failure — the LinkedIn Premium trial targeting self-identified pain is the right next move.

0 customers in 3 weeks is noise, not signal. But 10 cold DMs is also not a sample size. I'm 6 months in with a DeFi support tool, 80+ cold outreach messages sent, 0 paying customers. The pattern I noticed: cold DMs to people who aren't actively feeling the pain get you "cool product, thanks" at best. The 2 polite replies you got are the B2B equivalent of "let's stay friends."

The unlock for me hasn't happened yet, but the closest I've gotten was showing up in a Discord during a live crisis and answering a real user's question with my tool. That one interaction did more for my conviction than 80 cold messages. The person wasn't evaluating my product. They had a problem, I solved it, and the tool was invisible. That's a different motion than "hey, check out my thing."

For your case: you're DMing people who said "trying to post more." Those people have mild intent. The higher-signal target is people who just started posting and their posts are getting zero engagement because the AI cadence is obvious. Find the post, reply with value ("your hook is getting buried by the parallel structure in paragraph 2"), and then mention the tool. You're solving a problem they can see in their own analytics, not a problem you told them they have.

Your $5/month infra on Hetzner is smart. Same setup I run. Django + Celery + Redis is overkill for an MVP but it means you won't hit scaling problems when customers do show up. The build isn't the bottleneck. The 50 DMs this week will tell you more than the last 10 days of code did.

Since three weeks is too short for a definitive verdict, you should view this period as a necessary phase of signal hunting. Focusing on fractional CMOs is smart because they prioritize professional reputation above all else. Keep pushing forward as the entire trajectory of your SaaS will shift once you secure that first ideal user.

The 10 cold DMs and a flagged Show HN is what most indie founders try first because it feels like distribution. It isn't. It's broadcasting at strangers. Running SocialPost.ai (similar space) the only thing that worked early was finding 30 people on LinkedIn I had any thread of connection with, watching what they posted that week, and replying with something useful before ever pitching. Five of my first ten paying customers came from comment threads, not DMs. Your dog-fooding angle is your actual asset. Post your real numbers to your own LinkedIn weekly, zeros and all. Other founders will follow that journey faster than they'll click a cold DM.

The 'LinkedIn AI' space is incredibly crowded right now—everyone and their mom has a GPT wrapper for this. If you have 0 customers after 3 weeks, it’s likely because 'humanizing content' feels like a luxury, not a necessity for most people.

Have you tried pivoting the marketing toward ghostwriters or agencies? Those are the people who actually have the 'AI Slop' problem at scale. Individual founders usually just edit the text themselves, but an agency managing 50 accounts needs an automated way to make sure their output doesn't look like a bot.

Also, just curious on the tech side—how's the Hetzner/Supabase combo treating you? I'm building a marketplace on Bubble right now and always looking at how others are handling their backend scaling.

This is way more normal than people admit.
3 weeks is barely enough time for the market to even notice you exist — especially for a tool solving a “soft pain” problem like content writing quality.

One thing that stood out: you’re selling better AI writing, but your current distribution is still “cold outbound to strangers.” The people who buy these tools usually convert after repeatedly seeing good content from the founder.

You might get more signal by:

• posting daily transformations (“AI-ish post” → “humanized post”)
• breaking down cringe LinkedIn patterns publicly
• building a recognizable POV around authentic writing
• turning the product into content itself

Also, getting flagged on HN is basically an indie hacker rite of passage 😅

Wouldn’t panic at 0 customers yet. I’d panic only if:

• nobody resonates with the pain after 50–100 conversations
• or users try it once and never come back.

You’re still in the data collection phase, not the verdict phase.

Why not broadening your target audience, humanizing AI sounding content is not just a LinkedIn issue, I've seen people comment about users submitting content to Reddit for product launches that sounded like Ai generated sales pitches. Anyone that uploads content, e.g. on Medium, Twitter, blogposts, Reddit could be a potential customer, make it something that can be plugged into a workflow or into existing apps, like a humanize plugin for wordpress...etc. Just some ideas.

Tbh I'm at this point as well with my app a visual regexbuilder, named RegexPilot, I had so fun building it but now comes the hardest part getting customers, it's not that easy I'm finding out myself.

The dog-fooding line landed — "writing LinkedIn posts about not having customers for the tool that helps you write LinkedIn posts" is genuinely funny and also the most useful framing in the post. From my own solo indie work on a tiny iOS memo app (a Captio replacement), 30–40 visitors in week 3 felt like the funnel was haunted, but my first paying users came from replying to specific complaints in subreddits, not from any "announcement" channel. Show HN and one-shot DMs almost never converted; presence over weeks did. On your panic question: at 30–40 visitors the signal-to-noise is just too low to draw a conclusion — convertibility usually only shows around a few hundred right-fit visitors. What does your DM reply ratio look like when you reply to a post that already names the pain, vs. cold opening?

3 weeks is still very early — 0 customers at this stage is not unusual at all.

What stands out here is you already did the hardest part most people avoid: you shipped and started talking to real users instead of just building.

The gap you’re feeling right now isn’t product quality — it’s distribution.

Also, 10 DMs + 1 Show HN is still very small sample size. You’re not in “it doesn’t work” territory yet, you’re in “not enough signals yet” territory.

Respect for sharing the raw numbers — this is the part most people skip 👏

Solid honesty. Two things from my own week (just shipped 3 BaaS auditors, sitting at ~0 customers too):

Volume — 10 cold DMs is statistical noise. The first replies usually show up around 50-100 with personalized openers. Burn the Premium trial on 100, not 50, and lead with a one-liner that quotes their actual recent post. Generic "noticed you're a LinkedIn operator" gets archived.

Positioning — "strips AI rhythm" is a feature, not an ICP. The ICP is something like "founders posting on LinkedIn weekly who got called out for AI cadence in comments." That's a tiny slice and it's the only slice that'll pay $19. Anyone else can paste ChatGPT raw and not care.

3-week 0-customer signal: noise. The HN flag hurt more than the 0 conversions — HN is brutal to new accounts and basically rejects URL submits without karma. Try Show IH here once you have 1 sale (gives you the hook).

What does the first paid user look like in your head? Role, why they care, what made them try yours over the 30 alternatives?

Thanks for sharing this. 0 paying customers after 3 weeks — what's your main hypothesis? Is it a product issue or a reach issue?

Thanks for sharing your raw data, Manish! Building an MVP in 10 days is a huge achievement in itself.

When we were setting up the architecture for Zappnod (our AI automation platform), we focused heavily on user friction. A major barrier we saw in existing tools was the complexity of connecting custom AI models securely without leaking keys.

To solve this, we built a compiler that turns simple, Natural English prompts directly into executable backend scripts. To guarantee absolute code privacy, the compiler never hardcodes database credentials or tokens. It isolates everything into environment variables using a clean .env template, so the exported scripts are 100% clean and safe to host.

Building lean with Vanilla JS also kept our initial load extremely light. Best of luck on the search for your first paying users, keep pushing!

About to launch a finance app myself, so the HN flag detail caught my eye. Did you ever figure out what triggered it (thin profile, link-in-title pattern, account age)? The Show HN guidance feels like a moving target right now and I'd rather not learn it the hard way. The infra split also lands for me: I'm on Vercel, DynamoDB and Stripe targeting under £5/month, and I've come round to the view that the lean stack stops being a flex once you realise distribution is the actual bottleneck, not hosting cost.

3 weeks, 0 paying customers — that's noise, not signal. The clock starts when you have real distribution, not deploy day.

On the AI tell question, the ones that make me close the tab immediately: the "one sentence. per line. for. dramatic. effect." formatting, any post that opens with "I almost quit.", "Here's what nobody tells you:" (everyone tells you this), and the rhetorical question as hook / answer as punchline / CTA as closer — same structure, every post, every account.

The rhythm problem is actually structural, not lexical. The words can be fine but the sentence-length pattern gives it away every time.

On distribution: cold DMs to strangers who haven't felt the pain recently won't convert. Your best channel is probably the comment section of posts where someone is actively complaining about sounding like AI. Inbound intent beats cold push every time.

The product problem is real.

But I honestly think “PostDew” is quietly hurting you before the output even gets judged.

You’re building for operators and founders who are already hyper-sensitive to AI slop, generic tone, and low-trust tooling.

Then they land on a name that sounds lightweight, temporary, and very close to another “AI post helper.”

That mismatch matters more in this category than most people think.

Especially because your actual angle is stronger than “LinkedIn post generator.”

You’re really selling:
→ de-AI-fication
→ natural rhythm restoration
→ believable writing
→ protecting credibility online

That’s a much more serious positioning layer than the current name communicates.

Honestly, something like Beryxa.com, Xevoa.com, or Exirra.com would frame the product closer to an operator-grade writing system instead of another content utility.

The painful part is:
you may actually be solving a real problem already — but the brand currently feels easier to ignore than the problem itself.

I love your meta-irony of writing LinkedIn posts about not having customers for the tool that helps you write LinkedIn posts :)

I think that a big group of indiehackers enjoy the creation process, the "making", but struggle a lot with the "marketing" process, which is a complete different topic.

The reality is that even if you build a superb product, if you don't market it like crazy, no people will notice, because the competition in wild and huge. You don't have a store in the middle of the most crowded street in the city, your product is just a fish in the middle of the vast ocean. Your 10 cold DMs might feel like a whale splash, but it's nothing in there, you need to generate a Tsunami to get noticed.

Keep doing with the marketing. Be consistent until you reach numbers than can give you real meaning (g.e. 0/10 is not representative, 0/100... you need some changes)

The "0 customers in 3 weeks" might be the wrong thing to obsess over right now. The number that actually matters is: of the 30-40 people who landed from HN, how many tried the demo and came back a second time? A content tool lives or dies on whether people feel the output and think "I couldn't have written that myself."

One thing the thread hasn't touched on yet - "strips AI cadence" is hard to sell to someone who doesn't know their writing sounds like AI. Most people can't hear it in their own output. They only feel it when someone else calls it out publicly. So your sharpest ICP isn't someone searching for a LinkedIn tool, it's someone who just got a comment saying "this sounds like ChatGPT." That moment is findable and the window is short. Search for posts where that happened, reach out within 24 hours while it still stings.

The meta-irony angle is your strongest asset. Keep pulling on it.

3 weeks and 0 paying customers is statistical noise, not panic mode. You haven't even found the channel that works yet, 10 cold DMs is basically nothing, it's not a sample size.

The unlock for first 10 paying users in a content tool is almost always finding where your exact customer is already complaining about the problem. Not cold outreach to random LinkedIn operators, but finding someone who just posted 'ugh I hate how AI content sounds' and sliding in with 'I built something for exactly that.' Way warmer than a cold DM.

The HN flag hurts but it's common for early tools, HN is brutal for anything that reads as self-promotional without a strong technical angle.

Building and selling being different sports is real. I'm 4 weeks into building in public with Trakly and distribution is genuinely a full-time job on top of the build. Nobody warns you.

Overall, I wish you the best of luck as you get through this :)

Dang, nice job, this is genuinely impressive.

The "building and selling are different sports" line hit hard. I'm 6 months into my own solo build and only recently realized I was spending 80% of my time on the part I enjoyed (building) and treating distribution like a task to delegate to "later."

Your 0 customers in 3 weeks isn't failure — it's the honest data most people never share. The fact that you shipped in 10 days while working full-time already puts you ahead of 95% of builders who never ship at all.

One thing I'd test: instead of 50 Premium DMs asking people to try PostDew, find 5 people who posted "I haven't been posting" this week and rewrite ONE of their recent posts with PostDew — no pitch, just "saw your post, tried something, thought you might find it useful." If the transformation is genuinely better, they'll ask how you did it.

Also: the HN flag was probably triggered by "LinkedIn + AI" in the title. Their automod is aggressive on that combo right now. Try r/SideProject or r/Entrepreneur's weekly threads instead — friendlier to early-stage tools.

Keep posting the real numbers. That's the content that actually builds trust.

Three weeks at zero is genuinely not a signal yet — the thing to look at is the shape of the funnel, not the bottom number. If you've got traffic but nobody hits the pricing page, it's positioning. If they hit pricing and bounce, it's price/packaging or trust. If they sign up for a trial and never come back, it's onboarding/activation. Each of those has a completely different fix and they're indistinguishable from "0 customers."

Honest question that usually helps: of everyone who's seen it, how many took any action (signup, demo, even a "tell me more" email)? If that number is also ~0, the problem is upstream of the product — you're not in front of people with the pain. If it's non-zero but they don't convert, now you've got something to debug.

Same boat. 33 days post-launch, 9 free users, 0 paying.

What surprised me most: distribution is way harder than building. I assumed if I built something useful people would find it. They don't. You have to actively go where they are — Reddit, IH, LinkedIn, TikTok — and earn attention one post at a time.

One thing I'd add to your "data" piece: I priced my Pro tier at $19 assuming Anthropic API would cost ~$0.03/gen. Three weeks in I checked the actual console — real cost was $0.0977/gen. 3x off. Had to ship an emergency price increase before any real customers signed up. If you're building on LLM APIs, measure real spend in week one of pricing, not week five.

What's your distribution plan for the next 30 days?

To your "0 customers in 3 weeks — panic or noise?" question: noise. I'm at 0 signups too, on Day 1 of sharing publicly, and the pattern I keep seeing from other IH founders is that the unlock almost never comes from the product itself — it comes from finding the one distribution channel that fits. You tried cold DMs and HN, and both bounced. That doesn't mean the product is wrong, it means those channels don't match this specific audience.
One thing that stood out: you said you use PostDew daily to post on your own company LinkedIn page. That's the angle. If the tool is genuinely improving your own output, your own LinkedIn posts are the marketing. Every time you post something and it performs well, that's a live case study. The meta play — "I used my own AI tool to write this post, here's the before/after" — is exactly the kind of content that LinkedIn's algorithm rewards because it has a built-in narrative arc.
The DM approach might work better if you flip the framing. Instead of reaching out to people who haven't been posting (cold), find people who post regularly but whose content has that exact ChatGPT cadence you described — arrow bullets, parallel structures, "let's dive in" openers. They already care about LinkedIn content. They're just doing it badly. That's a warmer starting point than someone who hasn't posted in months.

The data you are sharing is honest but the diagnostic frame matters: "0 paying customers" is the output variable, not the input. Before the marketing changes take effect, you need a funnel that tells you where you are losing people - visitor to free signup rate, free to trial rate, trial to paid conversion. Right now you are optimizing without knowing which stage is broken.

Quick win on measurement: add UTM parameters to every DM link so you know exactly which outreach converts to visits. Even 0-conversion data is signal - if people click but do not sign up, the problem is the landing page; if they do not click, the problem is the DM. Most indie hackers skip this and spend weeks pulling the wrong lever.

The "0 signups from 30-40 HN visitors" stat is actually your most useful number right now - that is a 0% landing page conversion on warm traffic who bothered to click through. That is where the diagnostic starts, not the DM volume. I work through how to instrument this kind of early-stage funnel with SQL and basic analytics in my BI handbook if it is useful: https://gum.co/gwiow

Three weeks is not the window you think it is. I have seen this pattern with three different founder friends over the past year: ship fast, post on social, get 80 signups in week 1, then watch the curve flatten. The lesson nobody likes is that 80 signups from launch traffic look identical to 0 product-market-fit. What changes the trajectory is talking to people who use the thing every single day for 30 minutes and asking what they almost-paid-for and walked away from. The data point worth chasing is not visitors, it is the precise sentence someone says out loud right before they decide it is not worth their money.

Your information is very interesting. Thanks you very much.

My Thoughts: the Show HN flag plus crickets on a company-page post is a brutally common pattern, but I don't think it's a product signal — it's a surface signal. HN is technical founders writing their own copy, and a fresh company page with no audience is closer to a soundboard than distribution. If the ghostwriter angle from earlier comments is the real ICP, that crowd lives in private LinkedIn ghostwriter Slacks and small Twitter circles, not on IH or HN. The test worth running: get one ghostwriter to share a Loom with another ghostwriter unprompted. That's the signal anything before that is testing surfaces, not the product.

Honest post, respect the transparency on 0 customers. I've been building in the same space and the hardest part isn't the product, it's distribution. Curious, are you targeting a specific niche of LinkedIn users or going broad? I found that 'founders' and 'job seekers' have very different needs when it comes to post tone and goals.

10 cold DMs is basically no signal. had the same issue building my tools on the side - distribution did not click until I stopped broadcasting and just showed up in one community. where do you think your buyers actually are?

Losing 10 days in building and leaning a lesson is not really wasted time!
Many people build silently for 6 or 12 months to realize nobody needs what they built.
You need to be very clear what is your ICP and where they stay and what they say. That way you can naturally engage into the conversations, learn what the real pains are, create the content that suits them, gain trust.
It's not easy, especially for someone with tech focused experience but that's the way. Be patient, not need to panic! Make it fun and enjoy it.
This is also something I'm not experienced in - now defining an ICP for an idea I have, validating it and finding the early adopters. It's challenging but on every step I learn something valuable... no shortcut.

Appreciate you sharing the actual numbers — most people only post when things are working. The HN flagging is frustrating but almost a rite of passage; their algorithm punishes direct promotion and the community is allergic to anything that reads like a launch announcement without a story. At this stage the more useful channel is probably the exact 10 people you'd most want as customers — LinkedIn connections who post frequently and might privately hate how their content sounds. One DM to someone whose recent post you actually read will outperform 50 cold ones. The fact that you use it daily yourself is your most underrated asset right now — your own posting history is your best demo.

I have always been someone who wanted to not go to different apps and be able to do all my tasks by visiting just one website or app..Keeping this problem in mind I built autom8ai that basically throws a prompt box on the screen for you and let you type in whatever you want to automate be it Timely linkedin post ( say every sunday) or be it payment reminders to clients It helped me a lot .

I am currently in talk with 4 companies that would be using our product and giving some honest industry feedbacks .. it would be great if you guys do that too the website is autom8ai with io as domain I can't use the website link here as am still new to IH

cheers!

Did you reach to a solution after getting ghosted is the problem from the offer you are giving them ?

That’s an interesting idea : a post generator that strips away the obvious AI rhythm is something I honestly haven’t seen before.

I also think you should focus heavily on collecting user behavior data early on so you can better understand the exact pain points users are experiencing. Sometimes the biggest insights come from seeing where people hesitate, drop off, or rewrite the generated content themselves.

Overall, though, this is a really cool project and I respect how transparent you’re being about the journey so far.

Interesting project, but I have one critical concern: why build a SaaS app today when we have agents that can do this job better than any app, while still giving you full control over your data and context?

The AI tell that makes me stop reading fastest is when the post has structure but no proof: a bold claim, three neat bullets, and a lesson, but no numbers, constraint, failed attempt, or tradeoff. Your post works because it has the opposite: 10 DMs, 2 replies, one flagged HN post, 30-40 visitors, and $5 infra.

For PostDew I would test a "diagnose first, rewrite second" flow. Show a user which sentences sound generic, explain why, then show the cleaned version. If they agree with the diagnosis, the sales conversation is much warmer than "try my generator."

I would treat 3 weeks as noise until you have 30-50 conversations inside one segment. The interesting test is not "will people generate LinkedIn posts?" but "will ghostwriters or founders pay to protect their voice from sounding templated?"

Respect for sharing the real numbers — most people only post when things are going well.

10 DMs in 3 weeks is just too small a sample to draw any conclusions. The product idea is solid (AI-generated LinkedIn posts are painfully obvious), but distribution is a completely different muscle.

One thing I'd try: instead of cold DMs, find LinkedIn posts that people are already calling out as "obviously AI-written" and comment with a before/after transformation. That's free, public social proof and it targets exactly the people who care about this problem. The before/after format is the most shareable content format for tools like this.

Also agree with others on narrowing the ICP — "anyone who posts on LinkedIn" is too broad. LinkedIn ghostwriters would pay for this because their reputation literally depends on it.

Show HN flag is a brutal first-month rite of passage. I posted to Ask HN "What are you working on" yesterday from a new account — also flagged within an hour. Reddit r/SideProject worked better for me; the audience is friendlier to "I built X" posts and the gating isn't as aggressive.

On the "What I'm doing this week" list — the 50 self-identified DMs is the highest-EV item. The cold 10 had a 20% reply rate, which is actually decent for cold; the issue was the n (and segment fit). 50 to people who literally said "I haven't been posting" is a different conversion class — that's a warm list disguised as cold.

The "vulnerable post → crickets" outcome — I'd guess the post got buried by LinkedIn's algo, not that nobody cared. Vulnerable founder posts tend to get reach IF you tag 2-3 people who'd reshare, or push them in a "founders helping founders" group. Did either happen?

This is a great reality check. Building has become so accessible thanks to AI, but the 'distribution hurdle' is higher than ever. Respect for sharing the raw data - it's much more helpful for the community than the usual 'survivorship bias' stories. Have you tried experimenting with niche-specific communities outside of the major platforms?

Respect for sharing the real numbers NGL

The “building vs distribution” point is painfully real.

Feels like AI made the actual building part dramatically faster, which means way more products are reaching the market — but attention didn’t scale with it. So now distribution, trust, and positioning matter even more than the product itself.

Also think the “0 customers in 3 weeks” framing is misleading when the real distribution sample is:

~10 DMs
one flagged HN post
a few dozen visitors

That’s not really enough data to conclude much yet.

One thing that stood out to me:
you’re not really selling “AI LinkedIn posts.”
You’re selling protection against credibility loss.

That’s a much sharper emotional problem than “write faster.”

The people who’ll probably feel this hardest are the ones whose pipeline/reputation already depends on LinkedIn:

ghostwriters
consultants
operators
agency teams
founders posting consistently

Feels like the strongest distribution loop is probably public before/after transformations rather than cold outreach.

The product itself becoming the content.

This is very relatable. Building the product feels clear because you can control the work, but getting the first real users is a completely different game.

I like that you shared the numbers honestly instead of only showing a polished success story. It’s a good reminder that launching is not the finish line — it’s the start of learning what people actually care about.

I’m also working on a small tools/plugins brand, and I’m trying to think about distribution earlier instead of waiting until everything feels “perfect.”

The useful signal here probably is not “0 customers in 3 weeks”, it is that the sample is still too small and the outreach artifact may be doing too much pitching.

For a tool like this, I would test a very concrete before/after loop instead of a normal DM:

1. Pick someone who already posts on LinkedIn.
2. Rewrite one of their recent posts in a way that removes the AI rhythm.
3. Send only the before/after and ask: “Is this closer to your voice?”
4. If they say yes, then ask whether this is worth paying for or whether it is only nice-to-have.

That separates three questions that usually get mixed together: do they feel the pain, do they trust your transformation, and is the pain expensive enough to pay for.

Also, 10 DMs is far too early to judge demand. I would not rebuild yet. I would run 30-50 very narrow conversations with one ICP first, maybe LinkedIn ghostwriters or founders who post several times a week. The product may be fine; the segment and proof loop probably need tightening.

Hey Manish! Your SaaS product sounds good. No one likes to submit LinkedIn post manually. Meanwhile check VARStreet, our SaaS product popular among resellers in the IT & office supplies industry.

I like what @srjson was saying regarding not using sign up as metrics but measuring other metrics. That I had to learn the hard way. When I first created one of my products, we were not measuring simple actions but after we've made a change to measuring micro interactions, we found so many ways to improve and keep our customers.

The "3 weeks / 0 customers" number feels less useful than the channel-specific conversion data.

What I would separate next:

1. people who already complain about the problem publicly
2. people who post often but sound generic
3. people who sell LinkedIn/content as a service

Those are three different ICPs. A landing page and DM script that tries to speak to all three will probably underperform.

For a tool like this, I would also avoid measuring only signups. A better first signal might be: "will someone paste one of their own posts, see the cleaned version, and say this is closer to my voice?" If yes, then the next bottleneck is packaging/pricing. If no, the issue is probably positioning or the transformation itself.

0 customers in 3 weeks sounds like noise to me if the distribution sample is ~10 DMs + one flagged HN post. I would not rewrite the product yet. I would run 20 very specific conversations with one narrow segment first.

The brutal honesty here is refreshing. Your observation about "building and selling are different sports" is the core insight most indie devs miss. Even brilliant technical execution dies without positioning. Your tool solves a real problem (AI voice in content is becoming a liability)—the unlock might be finding the specific pain point holders: agency owners, LinkedIn coaches, personal brand consultants. Target vertical > broad cold DMs.

That inversion (AI to fight AI) plus the distribution shift you’re making (moving away from cold DMs and toward public proof and comment-thread value) feels like the real experiment here, more than the 3‑week MRR number.

This resonates a lot — I'm in a very similar situation right now.
Built InvestIQ (AI property investment analyzer) in about 5 days with Emergent. The product is live, the tech works, PayPal is integrated, everything functions perfectly. But converting free users to paying customers is a completely different skill set than building the product.
What I've learned so far: the hardest part isn't the build — it's finding the first 10 people who actually have the problem you're solving and are willing to pay to solve it. Reddit and niche communities seem to be the most direct path for B2B tools like ours.
What channels have worked best for you so far? Curious whether you've tried any niche forums or communities specific to your target user.

The fantastic world of AI often has its share of pitfalls; real life often throws us curveballs. It's up to each of us to get up and continue on our path, but it's also wise to at least know which path to choose... Good luck on your journey...

the meta-irony thing is real. doing ios apps and it's the same pattern — build is measurable and satisfying, marketing is just ambient dread with no clear feedback loop.

first customer usually comes from a completely unexpected place. not the channel you set up, but some random thread where someone was complaining about the exact problem and you answered. hard to replicate but that's usually where the signal is.

the "AI smell" problem you're describing is interesting — you built specifically to strip that out and are now fighting it in your own copy. the distribution problem is always the same as the product problem, just one layer up.

what's your plan past linkedin? curious whether you've tried niche communities where the actual ICP hangs out.

Honestly, 0 customers in 3 weeks for a new SaaS isn’t failure; it’s just the beginning of distribution reality. Respect for shipping fast and sharing the real numbers instead of fake “MRR in 7 days” stories.

Solid transparency, Manish. I’m in a similar boat—3 weeks live with a hyper-local weather engine WFY24.

Like you, I’m struggling with the 'marketing vs. building' balance. I’m currently pushing 40+ automated insights a day to test SEO, and the 'AI smell' is my biggest fear. I actually checked your tool (postdew) because I need to strip that ChatGPT cadence from my automated weather reports.

My 'dog-fooding' moment was seeing organic installs from niche tech blogs in Asia and Germany. It’s a wild ride. Keep pushing, the 0 to 1 is always a grind.

If you want to see how I'm integrating data-heavy content without the bloat, you can check it in wordpress org plugins/wfy24

tbh 3 weeks is just statistical noise, dont let the silence get to u yet man. i'm also running stuff on a $5 hetzner box and honestly the "dev trap" of focusing on the stack instead of sales is like a rite of passage for all of us.

marketing is just a way harder boss fight than the code ever was. for the "ai tell" list—pls kill the word "tapestry" or "delve" and anything starting with "in today's fast-paced world." literally nobody talks like that lol. keep pushing those DMs, 10 is way too small of a sample size to judge the product yet.

The meta-irony you described is actually your best marketing angle. You're living proof the product works because your LinkedIn posts about PostDew don't sound like AI wrote them.

Real talk on the "0 customers in 3 weeks" question: it's noise, not signal. 10 DMs is not a distribution experiment, it's a warm-up. Most content tools that eventually found traction didn't get their first 10 paying users from cold outreach. They got them from people who saw the founder using the tool publicly and thought "I want that."

Two things I'd try:

1. Post your actual before/after comparisons publicly. Take a generic ChatGPT LinkedIn post, run it through PostDew, show the difference side by side. That's your demo, not a landing page.

2. Find the LinkedIn creators who complain about AI-sounding content (there are tons). Don't DM them about PostDew. Comment on their posts with actual insight about what makes AI content detectable. Let them come to you.

I'm building aisa.to (AI skills assessment) and the pattern is the same everywhere: showing the work beats describing the product. Your $5/month infra is a flex, by the way. That's discipline most builders don't have at this stage.

I would say that the 0 customers in 3 weeks is statistical noise given you've only sent 10 DMs. In marketing terms, that is pretty much a sample. you're right, paying for premium and pushing to 50 DMs is right. One thing worth looking since you're running gpt-4.1-mini with Anthropic as fall back, do you have any visibility into which requests are hitting which provider, and what each is costing you per post generated? It doesn't matter now because of the low volume, but it when PostDew starts getting traction, that becomes your margin. Content tools are notorious for this because the unit economics can look fine during testing and then a viral week breaks the P & L. It's worth knowing now before you bump into the problem at scale.

I am on day 4 of a similar experiment in a different vertical (B2B vertical
AI bundles for real estate). 0 sales so far. The pattern I am noticing in
your data and mine: the build is never the bottleneck, but most of us spend
80 percent of our energy there because it is the part we control.

Two questions that helped me reframe my last 48 hours:

1. If you removed your product entirely and just had a landing page with a
   "join waitlist" form, how many of your current visitors would still sign up?
   That tells you whether the messaging works or the product is just decoration.

2. Where do your target customers spend their day before they are looking
   for a solution? Most B2B audiences live in Slack groups, Discord servers, or
   trade-specific Facebook groups that you would never find through SEO. Going
   there as a participant (not a marketer) for 30 days before pitching anything
   tends to outperform any cold outreach.

Distribution is a humbling teacher.

Same situation here — launched Vokio 2 weeks ago, a voice AI agent that answers phone calls for small businesses (€99 template). Views coming in, 0 sales so far. What I've realized: the people who would buy it (barbers, dentists, small shops) don't hang out on IH or Reddit. They need to see it in action and have someone explain it to them in plain language. Still figuring out how to reach them. How's your distribution working?

Hi Manish,

This is a sad reality I also encountered after running 6 apps last year and failed in all of them. Until I went to the drawing board and understood one thing.

People will never buy something from you if they don't know you, heart about you or even having not received anything valuable from you.

So this is what I recommend you to do.
Look for creators who frequently post and you can smell their generic chatgpt-generated content, I bet there are a lot, 😂
Then try commenting and liking their posts. Honest feedback. No selling. Remember this first. Then after a week or few weeks, then you can rewrite one of their posts or a couple of them and send it to their dm after a casual convo. If it's good then now come in with your products,

Because the brutal truth is that if you go direct DM cold-outreach at first I guarantee you a 99% rejection rate and you might be spammed at some point and this will truly hurt more than anything.

This is my honest feedback. Hope this helps

// Nick.

This is so true, and I also faced the same issue on my previous venture. But this time, I am prepared for it and going to start marketing early on.

3 weeks with no customers usually means a distribution problem not a product problem. Reddit is one of the fastest ways to get your first paying users the right subreddit puts you directly in front of people who need exactly what you built.

Same boat, different shape — 8 products live on Gumroad (briefs/templates for Indian SMBs), all built and launched in the last week, 0 paying customers as of this hour. So genuinely empathising rather than dispensing.

On your three questions, honest takes from sitting in the same spot:

1. Unlock: based on every "first 10 customers" post I've actually trusted, the answer is almost always "warm DMs to 30-50 people you already know, not cold DMs to strangers." Cold LinkedIn DMs convert at ~0.5% even when the product is great; warm DMs to people who'd actually use it convert at 5-15%. The unlock isn't a channel — it's leveraging existing trust before chasing new attention. For a LinkedIn AI-strip tool specifically, your 100 best-targeted users are probably people in your immediate network who already post on LinkedIn weekly and have complained about "ChatGPT cadence" — there are maybe 200 of them within 2 degrees of you.

2. 0 customers in 3 weeks: statistical noise, not panic mode — IF you've done <500 unique product-page visits. The reason most founders panic at this stage is they're treating conversion-rate as the metric when the metric is actually traffic. Below a few hundred visits, you can't even tell whether the product is broken or the funnel is empty. Above ~2000 visits with zero conversion, then the panic is legitimate. (I'm currently at ~the same place — catalog is conversion-ready, traffic is the bottleneck.)

3. AI tells that make my skin crawl: "In today's fast-paced world", "Let's unpack this", "Here's the thing", em-dashes used like commas, sentences that begin with "And" three lines in a row, the fake-humility "I know this might be controversial but…" opener, the parallel structure of "Not X. Not Y. But Z.", and any post that ends with "What's your experience? Drop a comment ↓". The last one is the most LinkedIn-coded because no human in a real conversation has ever said "drop a comment".

Good luck — watching with interest because we're solving the same distribution problem from different ends. If it helps to compare notes on what worked / didn't, I'm @souravvmahapatra here and on HN.

I’m starting to feel the exact same thing.
Building became dramatically faster with AI tools, but distribution feels harder than ever because there’s just so much noise now.

Also feels like early traffic from IndieHackers / Reddit is mostly other builders, not actual buyers.

Same boat here with Vokio (week 2 live, €99, voice AI for phone calls). What I've found: IndieHackers and Reddit r/SideProject bring curious devs but not buyers. The buyers are small business owners who don't hang out here — they need to see a demo video and have someone explain it to them. Still figuring out how to bridge that gap. What's your target customer?

Hmm interesting concept, I will check it out

3 weeks is noise, not signal — but only if you're talking to people. If you've sent 10 cold DMs and shown the product to maybe 15-20 people, that's not a big enough sample to conclude anything either way.

On the DM approach: targeting people who said "trying to post more" is smart because the pain is stated and fresh. But the message probably needs to lead with their frustration, not the product. Something like "saw your post about trying to post more consistently — what's getting in the way?" before ever mentioning PostDew.

The AI-tell question: for me it's the opening line that starts with "In today's..." or "As a [role]..." Those feel copy-pasted from a prompt. Real posts tend to start mid-thought, like something happened and the person is processing it out loud.

amazing, i got a nice idea from this

It's not about product only. The hack of success is how to make more users/customers on your product.

The line that stood out to me was “building and selling are completely different sports.” I’m realizing the same thing with my own product.

One thing I’d challenge though: I don’t think your problem is “0 customers in 3 weeks.” I think it’s that you’re still talking to founders/builders instead of people who already feel the pain strongly enough to search for a solution.

A lot of indie hackers hate writing LinkedIn posts, but they also don’t post consistently enough to pay for a tool. The people who might pay are probably operators, agencies, recruiters, consultants, ghostwriters, or founders already treating LinkedIn as distribution infrastructure rather than self-expression.

Also, the “remove AI cadence” angle feels real. The AI tell that personally kills trust for me is when every sentence sounds emotionally over-engineered. Perfect pacing. Perfect hooks. Perfect contrast structures. Real humans ramble slightly, repeat themselves, and sound uneven sometimes.

Your post also accidentally highlights something deeper: shipping publicly creates feedback loops you can’t get while building alone. Some of the best positioning ideas only appear after launch.

3 weeks honestly feels more like statistical noise than failure. Especially in a crowded category where distribution matters more than the actual MVP quality early on.

Respect for posting the numbers openly instead of pretending traction exists.

Honestly, 3 weeks feels too early to call it a failure.

From what you shared, it sounds more like a distribution/trust problem than a product problem. People already know they can use ChatGPT for LinkedIn posts, so the hard part is probably showing why PostDew is easier or better within a few seconds.

Maybe try reaching out with a real example instead of just pitching. Like take someone’s recent LinkedIn post and show a quick “before vs after” using PostDew. That might make the value much clearer.

I’m also building something early in the education/productivity space, and I’m realizing the same thing — building is the easy part, getting people to care is the real challenge.

The three week is just a trailer and a small attempt of 10 dms is just a beginning, you have a long way to go like you just started, thier is a lot to go. Just hit right market have a clear ICP and GTM strategy and start again
All the best
Trinetro Labs

3 weeks and 10 DMs is statistically nothing — you don't have enough data to panic yet. Here's how I'd think about it: 30-40 visitors with 0 signups tells you something about your landing page messaging, not your product. And 10 cold DMs is a rounding error for distribution.

The real question to answer next: can you get 5 people who genuinely have the LinkedIn AI-smell problem to sit on a call with you? Not to sell them, just to understand the problem deeper. That's your leading indicator, not conversions.

On the data side — one thing I see early SaaS founders miss is not tracking WHERE users are dropping off (landing page vs signup vs first use). Even a simple funnel tracked in a spreadsheet beats flying blind. If you're using Postgres (saw it in your stack), a few well-structured queries against your user table will tell you a lot.

Keep going — the distribution problem is the real game now. Product looks solid for 10 days of work.

P.S. — If you ever need SQL query help, I put together a free SQL Server diagnostic scripts pack that's useful for debugging data issues: https://growthwithshehroz.gumroad.com/l/psmqnx

On the 3 weeks question, I would treat this as too little distribution data, not a product verdict yet. 10 DMs and one HN attempt is a very small sample, especially for a category where people already have a lot of "AI writing tool" fatigue.

I am working through a similar early-stage problem with an Android app and the useful split for me has been: can people recognize the problem in one sentence, will they try the no-friction path, and can I get even a few real conversations from the right segment.

For your positioning, "LinkedIn post generator" sounds crowded. "Remove the tells that make your post feel synthetic" feels sharper because it names the fear directly.

I honestly think 3 weeks is still too early to call it failure, especially in a crowded space like content tools. From what you shared, this feels more like a distribution problem than a product problem.

One thing that stood out to me is that your outreach volume is still very low for a B2B/SaaS product. 10 DMs with 2 replies is actually not terrible signal wise, but probably too small a sample size to judge demand yet.

Also, people rarely buy a tool because it’s “better AI.” They buy because it solves a frustrating problem they already feel. Maybe leaning harder into the embarrassment/fatigue around obvious AI LinkedIn content could hit stronger.

Respect for sharing the numbers openly though. Most people only post the wins.

The tech stack and transparent shipping is solid. One thing jumping out: you've got killer signals already — PostHog is wired, you're using it daily, you've got the demo working. The meta-irony angle is genuinely your best asset. Most founders hide the struggle; you're flipping it into proof. That friction point (AI rhythm detection) is too real to ignore.

I wish you luck man, and ngl I am about to publish my SaaS as well, just finished editing it today, quite frankly one of the reasons on why I joined this app in the first place.

I was in same situation but finding the correct ads medium and users, helped me a lot for my site lldcoding

Any intentions for VC?

Merci pour la transparence. Je vis la même chose avec Visario en ce moment, le plus dur c'est le passage de 0 à 1 client.

This data is the kind of post other founders need to read. Two observations:

1. Cold DM is the lowest-conversion channel for your exact buyer. Anyone you cold-DM hasn't already noticed the LinkedIn-quality problem — they're not in market. The buyers for a LinkedIn-rhythm tool are already on LinkedIn watching how other people post. The product running publicly on your company page IS the marketing for the same audience.

2. The Show HN flagging is real right now — HN mod sensitivity to "built X with AI" is high. Reddit (r/Entrepreneur, r/SaaS, r/SideProject) tends to have better tolerance for the same pitch and a similarly-priced audience.

The pattern I'd test: drop cold outreach for a month, post 3×/week using PostDew on your personal LinkedIn — show the de-rhythm'd version next to the original AI output. Buyers self-select toward the demo. Slow funnel, but conversion per impression is much higher than DMs.

same story

I just launched yesterday I am excited and also nervous

I have a similar pain,
Launched Saturday, submitted to TAAFT and got good traffic, no signups - immediately start obsessing over PostHog, GA4 every analytics tool I have to see where the drop off is happening. Scares the crap out of me because the first step in my funnel is a free audit, but I realized I have to take a step back, take a deep breath and let the traffic continue to talk, it will start to form a consistent narrative. Also fine tuning your analytics to hyper focus on that initial funnel specifically, will give you the most ROI. Keep building! Design looks fantastic.

Your discipline with data is already better than most early founders — knowing your exact funnel numbers at 3 weeks is the habit that saves you later.

On the core question: 0 customers in 21 days with 10 cold DMs is genuinely noise. The denominator is too small. Your 50 targeted DM plan is exactly where the real experiment starts. Focus on people who explicitly mentioned the pain this week — recency of the frustration matters a lot for conversion.

One thing worth digging into: that HN spike gave you 30-40 visitors. Did you look at session behavior? Time on page, where people drop off in the demo? If they're bouncing before hitting the free post limit, it's a messaging/positioning problem. If they're hitting the limit and still not signing up, you have validation of the tool — just not the offer yet. Those are two very different problems.

As a BI consultant who builds data pipelines for SaaS startups, I always tell early-stage founders: instrument your funnel before you scale outreach, not after. The story is always in the data.

P.S. I put together a free SQL diagnostic scripts pack for early-stage tech teams managing their own DBs — different domain but the mindset applies: → https://growthwithshehroz.gumroad.com/l/psmqnx

Respect for sharing the real numbers publicly. Most people only post once they already have traction, so seeing the honest early-stage process is actually refreshing.

Also, the “building and selling are different sports” realization is painfully real. I’m building NitroIDE right now and slowly learning the exact same thing — shipping the product is only half the battle, distribution and positioning are a completely different skill set.

Three weeks honestly feels more like noise than signal at this stage. The fact that you shipped, launched, and are actively testing outreach already puts you ahead of most people still stuck planning.

I’d treat 3 weeks as too early to panic, but useful enough to tighten the learning loop.

The part I’d separate is “people dislike obvious AI rhythm” from “people will pay for a tool that fixes it.” Those may be different problems. Your next 50 DMs could teach more if you ask for a quick before/after reaction instead of sending a generic pitch: take one of their recent posts, show a more natural version, then ask whether that improvement is worth paying for or just “nice to have.”

The AI tells that make me tune out fastest are the overly symmetrical structure, vague hype words, and posts that sound like they’re teaching a lesson without sharing a real detail. Your own post here works because it has real numbers and a real constraint. That’s probably the bar your product needs to help users keep.

It's the reality building a product is not a big deal for any founder scaling is the main challenge. To be honest currently I thought Claude is the best tool to make plan and strategy for building and scaling any idea to any level.

This is the validate-after-building trap. I built a tool that scores problem-solution fit across 250 personas before you write code. Would have caught the zero-demand signal in 5 minutes. Happy to run your SaaS through it if curious.

Useful honesty. The strongest signal here isn’t “0 customers”; it’s that the dataset is still tiny — 10 cold DMs, 2 replies, and 30–40 HN visitors is nowhere near enough to reject demand. I’d shift the next sprint from outreach volume to 10–15 calls with people already posting on LinkedIn weekly. What exact reason did the 2 responders give for not signing up or switching?
Another suggestion would be a short demo video on the home page to show how everything works.

I'm also building my own SaaS (a waitlist tool), so I don't have much experience yet, but I found your post really interesting.

One thing I thought about after reading your post is that the idea feels a bit circular — it tries to solve a problem (AI-sounding LinkedIn posts) using the same underlying tool that created it (AI writing in the first place).

It also made me think about a comparison with other AI problems like hallucinations. Hallucinations are a core reliability issue, so big AI companies had to actively reduce them because they block real use cases. But “AI tone” feels more like a style or taste issue, it doesn’t break the content, it just makes it feel less authentic. That feels harder to “solve” universally because it depends on audience and context.

Curious if you’ve found a specific user group where this “AI tone” problem is painful enough that they’d actually pay for a dedicated fix.

Respect for sharing the hard numbers. The meta-irony is real — building a LinkedIn tool while struggling on LinkedIn. Been there.

One thought: before building, did you validate if the problem (AI rhythm removal) is actually painful enough for people to pay? I wasted 6 months learning that lesson the hard way, which is why I built TrendyRevenue – AI validation in 10 seconds (demand, competitors, revenue). Free tier (1 analysis, no card). Pro ($39/mo) adds source-cited competitor gaps.

Maybe run your core features through it – see which one has real demand. Could save you from building the wrong thing next.

Don't panic yet. 3 weeks is noise. Keep going.

https://trendyrevenue.com

Hello any one need a CRM expert should contact here
i can help you set up a professional high converting crm platform your business effectively and also specialize in generating a qualified leads

Three weeks at zero is noise, not signal — the real test is your 50 DMs to people who already said they haven't been posting. That's the only cohort that actually matters right now because they've pre-validated the pain themselves. One thing worth flagging: the meta-irony you described in this post ("I built an AI writing tool and I'm using it to document having zero customers") is genuinely compelling content, and it's the kind of authentic loop that actually gets traction on LinkedIn. If you post that story natively on LinkedIn with a soft CTA and a free trial link, I'd bet it drives more signups than 50 cold DMs — you're already living the exact problem your target user has.

The distribution problem is real. Most solo founders spend 80% of time building, 20% on everything else - but it should be the opposite post-launch. What channels have you tried so far?

Ouais je te comprend, c'est vrai que c'est pas du tout facile

The "building and selling are completely different sports" line is the most useful sentence in this whole post, in my experience. I'm a solo dev shipping a tiny iOS memo app — Captio replacement — and my first ~30 installs all came from one Reddit thread reply, not from anywhere I'd planned. 10 cold DMs is also way too small a sample to read as signal yet; below ~50 you basically can't tell good copy from bad copy from the wrong audience. One small thing: HN flagging within 24 hours often kills that channel for the domain for weeks afterward. Curious — what's your week-4 ratio of hours spent shipping code vs hours spent on outreach?

building and selling are completely different sports

I'm also learning this the hard way. I launched a few side projects these past few months and neither of them generated any buzz. Honestly it's because I really dislike marketing. Marketing always feel like spammy plus it doesn't help that have some social anxiety too.

some people these days will prefer to hire a social media manager rather than a tool. i would advise you use different outreachh methods: cold email, using social media. have you considered running ads? i always tell founders to find users while they so that they won't phase a second phase of struggle after they build their product. if done well, you can get your first customer from cold email, i can help you with that

Really appreciate the transparency here. 0 customers in 3 weeks doesn’t feel like panic-mode yet, especially with only ~10 direct DMs and one flagged HN post — that’s still very little distribution data.

The interesting part is that you’re already dogfooding it, so the pain is real for at least one user. I’d be curious what your next move is: are you planning to double down on outbound to people already trying to post more, or narrow the positioning to a specific segment like founders, agencies, recruiters, or LinkedIn ghostwriters?

My instinct: the unlock might not be “better AI post generator,” but “turn my messy notes / calls / product updates into posts that still sound like me.” That feels more painful and less crowded.

I'm in the exact same situation. Launched a voice AI agent for phone calls this week — 0 paying customers so far. How are you approaching outreach? Cold email, ads, communities?

Hi Manish, As you already identified that Marketing is very different than the implementation part, but 10-15 days looks too short to me. It can be done but it's very rare. I would suggest you to give around 1 hour everyday to make it better, do thorough testing.

Now to your marketing suggestion, Just think it in this way ->

"Why would they pay for something, that they can do in free? What is the pain that you solved?"
"Mostly people who want to post daily on linkedIn are not that much serious on posting everyday, so the pricing that you're offering justify the value you're providing?"

Suggestion -
-> Let some influencer ( or wannabe influencer) to use your product for free for 1-2 month with the condition of posting something about your product. It'll help maybe!

Hope It help, Thanks and All the best!

3 weeks in and you're already sharing the real numbers — that takes guts. What's your next move on distribution?

This is useful because it shows the real trap: the build sprint feels productive, but the distribution sprint is where the actual signal comes from.

The part that stood out to me is your 10 DMs. That is probably too small to prove the product is wrong, but enough to show that the target/angle needs tightening.

I am testing a small product right now and trying to avoid the same mistake. The buyer is freelancers who sell to local businesses. The workflow is:

• pick one local niche
• find 50 businesses
• audit each one with AI
• write personalized outreach
• track follow-ups for 7 days

My biggest question is whether this is painful enough for freelancers to pay for, or whether it feels like another nice-to-have template pack.

Your post is a good reminder that I should validate the pain before polishing the product. Curious: if you restarted PostDew from day 1, would you spend the first week only talking to buyers before building?