Bazzly

Very informative. Thank you.

Great share! good luck!

well said

The pre-fill point is the one most founders skip. At SocialPost.ai, every field we asked people to complete during onboarding was a place they dropped off. The fix wasn't a better tutorial, it was deleting steps and doing the work for them. One question: how are you defining the activation event itself? A lot of teams pick a vanity "finished onboarding" moment instead of the point where the user actually feels the product work, and if that definition is off, every email trigger fires at the wrong time.

The 5 minutes point hits differently when your product is email automation. There is no dashboard moment, no aha inside the product. The activation is the first email going out while you are doing something else entirely.

If that does not happen in the first session they never come back to finish it. Removed every optional step from the setup. You either complete it or you do not start. Completion went up once there was no way to half finish

Strongly agree, and the no-signup-tool case is where this gets interesting. I run a set of free browser tools with no account at all, so "activation" can't be signup or even a defined onboarding flow - there's no funnel to instrument.

What's worked is redefining activation as "first useful output produced" - not page depth or time on site, since both reward confusion as much as engagement. For a calculator it's "got the number they came for"; for a generator it's "copied/exported a result." That single event is the real aha moment, and it's what I design the first screen around: sensible pre-filled defaults so the tool shows a working result before the user types anything.

Which is why your pre-fill point is underrated - an empty state is a tax you charge every new visitor. Showing a result first turns "what does this do?" into "oh, I just change this number." Bounce dropped noticeably once I stopped making people start from zero.

The catch nobody mentions: with no signup you've also given up the email, so repeat use has to come purely from the result being good enough to bookmark. That actually raises the activation bar - the first session has to fully deliver, because there's no second touch you control.

Completely agree. A lot of founders focus on traffic because it's easier to measure, but activation is usually where the biggest gains are. Even a small increase in activation can outperform a huge increase in traffic.

This hit hard. I've been pushing distribution for zer0email and keep asking myself why signups aren't converting better. Turns out I've been optimizing the wrong end entirely. What did you change first on the activation side - onboarding flow or the aha moment?

Activation point bilkul sahi pakra hai. Maine bhi notice kiya ke visitors aate hain lekin bounce rate high rehta hai — ab samajh aaya ke problem traffic nahi, first session experience hai.

Pre-fill idea genuinely smart hai. Ek sawal — agar product information-based hai (guides, tools) aur signup nahi hai, toh activation kaise define karein? Page depth? Time on site

Strong point. I think a lot of founders try to fix conversion problems with traffic. If users don't reach the "aha moment," more traffic just means more people leaving.

Nice progress! It's always refreshing to see founders sharing the real journey, not just the wins. What's been the most surprising piece of feedback you've received from early users so far?

This is such an underrated point. More traffic won't fix a leaky bucket.

The pre-fill point is the one I'd double down on. A useful pattern is to measure activation as "first valuable artifact created" rather than "signup completed" or "trial started."

For AI/onboarding-heavy products, I like tracking three timestamps separately: account created, first useful output generated, and first user edit/approval. If the gap between output and edit/approval is high, the product may be fast but not yet trusted. That usually tells you whether to improve the automation itself or add a tighter review step.

That's very useful. I'll give it a try. Thanks.

Thank you, very informative for founders. As an entrepreneur, finding ways to simplify the onboarding process can be a bit difficult, but when you notice where the pain point is, you get amazing results.

Agree with this, especially the 60 second time-to-value. For mobile apps I think the hidden test is whether the first result is both fast and editable. I’ve been seeing this while working on an iPhone food logging flow: photo/barcode/text input helps, but activation only happens when the user can instantly correct the AI guess and feel in control. Fast wrong output without a correction loop can actually hurt trust.

strong post. one thing id add on activation: pre-fill gets them to the first result fast, but that result has to be one they can immediately tell is good. if the AI pre-fills something generic, or they cant judge whether its right, youve just helped them bounce faster. the real activation moment isnt "setup done in 60s", its "the first thing it showed me was obviously useful and clearly about me". so id pair the speed with making that first output specific enough that the user can verify it at a glance.

Congrats

The pre-fill insight is the part most founders skip. I see the exact same pattern building WhatsApp/voice agents: every field you ask the user to fill is a chance for them to bounce. Auto-detecting context (URL, phone, recent message) so the first interaction already feels personalized cuts drop-off hard. The "do it FOR them" framing is going on my wall.

This is hands down the most practical piece on conversion I've read this month, Filip.

"Traffic compounds only when your activation is optimized" — this hit me like a brick. I recently built a Make setup that auto-filters client job boards and drafts premium cold pitches into Google Sheets. I was struggling with onboarding friction, but your point about AI pre-filling everything and minimizing time-to-value under 60 seconds just gave me a huge "aha" moment.

Quick question on the email loop: do you find instant real-time notifications cause user fatigue, or is it always better than a daily digest as long as it's a high-value event (like a live job lead)? Thanks for sharing this goldmine!

Solo launched HOSTARA today and immediately hit your point about activation.

With 58 X followers, I literally cannot pull the "more traffic" lever. There's no traffic to optimize. The only thing I can affect is what happens AFTER someone lands on my page — copy, social proof, friction reduction.

Counterintuitively, this constraint feels like a feature. I'm forced to focus on the 50 right visitors instead of chasing 5,000 wrong ones.

Curious — at your stage, how do you separate "activation friction" from "wrong audience"? Both feel like low engagement on your end but require completely different fixes.

This is exactly why improving the world of captchas is so important. Over everything here is the fact that a significant percent of this traffic is getting scraped off because someone can't figure out which part is the motorcycle.

Well said. One thing I keep realizing: when you have zero traffic, all you think about is getting more traffic. But once the traffic starts flowing, the real bottleneck shifts to conversion. The irony is — traffic mostly comes down to distribution channels (SEO, directories, communities), while conversion is almost entirely a product experience problem. Two completely different skill sets. I'm currently in the "praying for Google to index me" phase 😅. What stage are you in?

Hey,I am a new developer made one ai a month ago doing a very hard work for the sales but I was literally getting no response.But after many reseraches I came to know about the Indie community .By my observation on the very first moment I understood how helpfull this platform is for new developers like me !

This is the trap so many of us fall into — chasing more visitors when the leak is further down the funnel. How did you figure out activation was the bottleneck rather than top-of-funnel? Curious what metric finally made it obvious.

The pre-fill insight is rooted in cognitive load theory — every decision you remove doesn't just save time, it preserves the mental energy the user needs to experience the aha moment. When onboarding demands effort before value, the brain frames the product as work not solution.

The event-triggered email point is equally sharp. What you're describing is relevance-triggered re-engagement — it works because it respects the user's context rather than interrupting it. Generic emails fail because they signal the product doesn't know you. Specific event emails signal the opposite.

One thing I'd add — in collaborative SaaS this activation problem compounds. You're not just activating one user. You need simultaneous activation across a team. The individual who signed up can't experience value alone. That's a fundamentally different activation architecture that most onboarding flows completely ignore.

Two things I'd add:

On pre-filling — don't just reduce steps, remove decisions. Every moment a new user has to think is a moment they can leave. Fewer clicks helps, but fewer choices helps more.

On emails — the ones that worked best weren't just tied to a real event, they were tied to something the user didn't know had happened. Surprise beats reminder every time. "Something changed that affects you" gets opened. "Here's your weekly summary" doesn't.

100 visitors with no sales assumes those are the right visitors. I spent months optimizing onboarding before realizing they weren't buyers at all. the activation work pays off only once the traffic is at least vaguely qualified.

Great point — this hits close to home for me.

I launched Cliento, an AI sales advisor for B2B account executives, on GitHub on May 31st. Got 209 clones and 117 unique cloners in the first week. That told me people were curious enough to take action. But almost none of them came back to give feedback or tell me what they actually needed.

Reading your post made me realize the problem. My current onboarding asks users to fill in their name, role, company, and email before they can even start. That's exactly the friction you're describing. They haven't seen any value yet, and I'm already asking them to give me information.

Your point about email notifications tied to real events is something I haven't built at all. Right now if someone uses Cliento once and leaves, I have no way to bring them back. There's no trigger, no reason for them to return.

Two things I'm going to change based on your post: first, redesign the login page to reduce friction and get users to value faster. Second, set up email capture properly so I can actually follow up with people who tried it.

Thanks for putting this so clearly. The activation problem was staring me in the face and I kept thinking it was a traffic problem.

I had the same problem once traffic was decent, users hit signup and still never reached the first real win. People usually instrument this with Hotjar or Typeform, I built ScoresPulse because I wanted one cheap pulse right after that first session to catch what almost clicked but didnt. Have you found one pre-fill step that moves signup-to-paid more than the rest?I had the same problem once traffic was decent, users hit signup and still never reached the first real win. People usually instrument this with Hotjar or Typeform, I built ScoresPulse because I wanted one cheap pulse right after that first session to catch what almost clicked but didnt. Have you found one pre-fill step that moves signup-to-paid more than the rest?

For real Nowadays automation platform to create this workflow are so complex and not for beginner's for this problem we have made a solution

This is underrated. Most indie founders obsess over traffic while users silently drop off after signup. I’ve seen this happen a lot—especially in early-stage products. What do you think is the main reason?

This made me think about my own product. I'm getting traffic from SEO and social channels, but I still don't know exactly how many users experience the full value of the product before leaving. Measuring activation feels harder than getting traffic.

Validating demand before building is a smart approach. Thanks for sharing your experience.

Point 2 is the one. Pre-filling gets them there faster, but you still have to engineer a moment worth arriving at. 60s setup only counts if that first session ends in them feeling it actually work.

The "5 minutes decide everything" part is real.

I built Slash it, an Email Decision OS from Korea.

First action is /start on Telegram —

Gmail pre-read and briefed in under a minute.

No setup. No forms. Just judgment.

That's my entire activation strategy.

If it doesn't click in that first briefing, I've already lost them.

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This is one of the most practical approaches to SaaS validation I've seen. Too many founders validate the product and ignore the distribution channel.

Getting 50+ waitlist signups through cold outreach proves more than demand it proves you can consistently reach your ideal customers. That's a huge advantage before investing months into development.

I help founders with customer acquisition and outreach strategies, and your process aligns closely with how I approach market validation. If you're interested, I'd be happy to share a few strategies to scale this beyond Reddit and create multiple acquisition channels for predictable growth.

This is exactly where I am right now.

I built first, then tested — classic mistake.

I'm 57, former construction site manager from Korea.

Built Slash it, an Email Decision OS that

pre-reads your Gmail and tells you what to act on.

Waitlist live, Paddle payment in review.

Looking for 100 founding users.

The part about "can you reach them at all"

hit me hard. That's the real question I'm facing now.

ran into this exact thing building my PM tool - I've hit 200 visitors/week with barely any conversions. session recordings showed users stalling at setup before reaching the core feature. cut onboarding to 3 steps. conversions tripled.

Interesting perspective, I’ve seen something similar.

That's interesting.

How many people joined the waitlist before you felt confident enough to start building?

How did you outreach in reddit? What was your strategy?

Great idea, it's like a digital version of an elevator pitch to strangers. Will defenitely adopt this to my idea. As my waitlist site get's no visits at all :-(

The most scariest thing to do as a first-time solo-builder is cold DMs. Even worse, when you don't have anything or MVP in your hand to demo and to convince users.
It is interesting that you can DMs some users to sign-up for a product that not exits yet.
How have you done that?

This is gold! The waitlist-as-distribution-test framing completely changed how I think about validation. Did you find Reddit DMs worked better than email outreach for that first 50?

Solid playbook. To extend the 'distribution validation, not product validation' point in the comment above: the test tells you you can move conversations, but not that those conversations convert to a paying customer. One small thing I'd add to the DM script - ask 'what would you pay for this if it existed today?' before the signup. The answers do two things: filter the signups that were just being polite, and give you the exact price ceiling for the launch. Anyone who replies with a real number is a real signup. Anyone who hedges is on the waitlist for sentimental reasons.

One thing that surprised me is how many founders treat waitlists as product validation, when they're really distribution validation.

Getting 50 people to join a waitlist isn't impressive by itself.

Getting 50 people from a channel you can repeatedly access every week is.

The biggest lesson for me wasn't the signups. It was learning where the right people actually hang out, what language they use, and which messages get ignored.

That information ended up being more valuable than the waitlist itself.

（I did made the same mistake as you)

Will you be releasing a product for LinkedIn?

Reachability is the real test, not whether people like the idea. Likes are the cheapest signal there is. Same trap post-launch: signups look like traction, but the number that matters is how many come back without a nudge.

Distribution-first is exactly right and the framing I wish someone had given me earlier. I built Genie 007 for 8 months before properly testing whether I could reach my buyers at all. Your '2 weeks of cold DMs before a single line of code' test would have saved me a lot of wasted time. The Reddit DM approach is interesting — were you targeting people who'd already posted about the problem specifically, or broader cold outreach to relevant communities?

Your video is very compelling. I’m going to sign up soon.

Hello Panoski,

thanks for your advice, definitely a good one... sell the product is actually the most difficult part

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Building BiteSaaS: A Unified Hospitality Operating System for Restaurants and Hotels

Hi everyone,

I'm currently working on a startup idea called BiteSaaS.

The vision behind BiteSaaS is simple:

Hospitality businesses spend a significant amount of time managing operations through multiple disconnected systems. Restaurants and hotels often rely on different tools for ordering, billing, guest requests, analytics, customer feedback, and business management.

As a result, operations become fragmented, staff spend more time switching between systems, and owners lose visibility into what's actually happening inside their business.

I started asking a simple question:

What if restaurants and hotels could manage everything from one platform?

That question became the foundation of BiteSaaS.

What is BiteSaaS?

BiteSaaS is an AI-powered Hospitality Operating System designed for restaurants and hotels.

The goal is not to build another QR menu tool.

The goal is to create a unified platform that combines:

• Restaurant Operations

• Hotel Operations

• Ordering Systems

• Billing & Receipts

• Analytics & Reporting

• Customer Feedback

• AI-Powered Insights

• Multi-Country Support

• Multi-Currency Support

• Multi-Language Support

into a single ecosystem.

Restaurant Workflow

A restaurant can create an account, configure its tables, and generate QR codes.

Customers can:

• Scan a table QR

• Browse the menu

• Receive AI-assisted recommendations

• Place orders

• Complete payments

• Receive digital receipts

• Submit feedback

Meanwhile, the restaurant owner can monitor everything from a centralized dashboard.

Hotel Workflow

Hotels can configure rooms and services through the platform.

Guests can:

• Scan a room QR

• Request room service

• Request housekeeping

• Browse available services

• Make payments

• Receive receipts

• Leave feedback

All requests are routed directly to the hotel's operational dashboard.

Business Dashboard

The owner dashboard is designed to provide complete operational visibility.

Features include:

• Live Orders

• Revenue Tracking

• Service Requests

• Customer Feedback

• Performance Analytics

• Menu Management

• Service Management

• Staff Activity Monitoring

The objective is to help business owners understand what is happening inside their business in real time.

AI Layer

I'm also exploring an AI assistant that can help businesses make better decisions.

Examples:

• Identifying best-selling products

• Suggesting revenue opportunities

• Highlighting operational bottlenecks

• Providing business recommendations

• Analyzing customer trends

The AI is not the product itself.

The product is the operational platform.

AI simply acts as an assistant.

Long-Term Vision

My long-term goal is to build the operating system layer for hospitality businesses globally.

Instead of relying on multiple disconnected tools, businesses would be able to manage their entire operation from a single platform.

Current Status

The product is currently in the planning and MVP stage.

I'm actively refining workflows, validating assumptions, and thinking through implementation challenges.

Questions

I'd love feedback from people who have experience with:

• SaaS businesses

• Hospitality technology

• Restaurant operations

• Hotel management

• B2B software

Some questions I'm thinking about:

1. What is the biggest weakness in this idea?

2. What feature would provide the most value?

3. What would make a restaurant or hotel switch from their current solution?

4. What am I overlooking?

I'm genuinely interested in hearing different perspectives and learning from builders who have experience in this space.

Thanks for reading.

This is a goldmine

Thats awesome, am struggling to get

The honesty about the timeline is the best part. 10 months to $1K through daily replies isn't a hack, it's a job you show up for. The risk I'd flag: the edge here is the quality of your replies, being the most useful answer in the thread. That edge lives in your head, which makes it the hardest part of the system to hand off without the replies sliding into the spam Reddit is built to punish. So a real question, not a knock: when you go to 10x this, does the system survive someone else writing the replies, or does the thing that makes it work walk out the door with you? I ran a services business for two decades, and that exact tension, the founder being the product, is what caps a lot of them. Worth solving before you need to.

This is exactly the kind of system that actually works — small, repeatable, and compounds over time. The DM strategy is underrated. Most people pitch immediately and get ignored. Starting from their pain point instead of your product is the key insight here. The part about Reddit threads ranking on Google is also huge — one good reply can keep sending traffic for months without any extra work. Thanks for sharing the actual breakdown.

This hits home. I built an Email Decision OS called Slash it —

same mindset. The problem isn't the product, it's showing up consistently.

Just getting started with distribution myself.

The 30-minute system is exactly what I needed to read today.

The 15-min Reddit search + reply system is exactly what I needed. I've been posting randomly with no consistency. Starting this tomorrow. Did you use any specific search terms to find high-intent threads?

This is exactly the mindset shift I needed to read today. I've been guilty of the "big launch or nothing" trap.

Starting tomorrow I'm launching Signal Brief - a Weekly AI and dev tools newsletter - and the temptation to wait for a viral moment is real. But 30 minutes of daily targeted effort compounding over 10 months? That math is hard to argue with.

The Reddit thread approach especially resonates. I've been lurking on r/artificial/ and r/side project but treating it as broadcast, not conversation.

Changing that today.

Thanks for breaking this down so practically. Saving this one.

Really appreciate the breakdown! The genius of this system is how low the barrier to entry is — literally anyone can carve out 30 minutes. The hard part isn't the method, it's showing up on day 47 when you've gotten zero replies that week. That's where most people drop off.

The compounding effect of public replies is underrated too. One solid answer on Reddit can pull in traffic for months. We've seen something similar with our own form builder — the content that keeps giving is never the flashy launch post, it's the quiet "how do I solve X" answer you wrote six months ago

I think the best place

The 30-minute constraint is the part I keep coming back to. Most builder advice optimizes for "do more" — yours implicitly forces "do less, but every day."

I'd love to hear more about the filter you use inside those 30 minutes. When you sit down, how do you decide what gets the time vs what gets pushed? Is it gut feel, a written rule, or just whatever's most painful that day?

Asking because I'm trying to build a similar daily discipline and the hardest part isn't the time — it's the saying-no.

Thanks for sharing this. These tips are really helpful. I actually have a pretty new Reddit account, and one thing I've been wondering is how to effectively engage and build credibility when you have very low karma. Your approach of focusing on genuinely helpful replies makes a lot of sense.

Appreciate you taking the time to break down your process.

distribution-first validation is underrated. most founders don't bother and hit the channel problem after launch. I used something similar before building my sprint planner - found out the audience wasn't where I expected. saved months.

Great post! Seems very much doable in this time period.

I think the best place for marketing are Reddit and X

10 months to $1k MRR through 30 minutes of daily outreach is honest about the timeline in a way most growth posts aren't. the math works out to roughly $100 MRR per month of consistent effort which is slow but real. curious what the retention looks like on customers acquired this way versus any other channel you've tried. outreach customers who came in through a specific pain point conversation sometimes churn differently than inbound customers who found you through search

interesting,

Just launched something similar in the API space. The hardest part for us was the pricing model — went through three iterations before landing on a request-based tier system. What made you choose your current pricing structure?

Thanks for the thoughtful post. I've been thinking a lot about the right system to attract clients. I will give it a try for the next 10 months or so.

thanks so much very helpful

Seems like a great tool. Will try it for sure.

This is gold, Filip. As an accountant and indie maker, I look at growth through the lens of resource allocation and risk management, and your framework hits the nail on the head.

Most founders treat marketing channels like a diversified stock portfolio from day one—spreading themselves too thin. In reality, early-stage SaaS needs extreme concentration.

Your second point about not stacking channels on top of a broken funnel is a massive takeaway. In finance, we call this trying to optimize a leaky asset. If your retention is broken, every dollar or hour spent on a new marketing channel is a 100% net loss. Fixing retention first is the ultimate form of marketing because it compounds the value of every single user you acquire later.

Quick question on step 3 (Systemization): When you transitioned from doing the manual Reddit DMs to building a system/routine, did you use any specific framework or documentation to hand it over (or automate it), or did you just rely on personal discipline until you had the MRR to outsource it?

Congrats on the $2.5K MRR milestone, the sequence makes perfect sense!

Great idea. Keep at it

What is the tool that you use?

This comment was deleted 3 months ago

amazing

Following!!

This is a solid framework. Too many founders jump between channels without first proving one can consistently generate customers.

I especially agree that conversations should come before content. Direct conversations give you real customer language, objections, and pain points that make every future marketing channel more effective.

From my experience in growth and digital marketing, founders often scale faster when they combine a proven outreach channel with a structured follow-up and nurturing system. Once the first channel is working, it's much easier to expand into content, partnerships, SEO, and community marketing.

If you're looking to accelerate growth, I'd be happy to share some customer acquisition strategies that can help turn a working channel into a predictable growth engine.

Strong framing. The part I would add is that the first channel should prove two things separately: can you find the person, and can you name the pain in their words.

I am doing this with two tiny products right now, one dev-tool-ish and one consumer nutrition app, and the useful signal has not been likes or waitlist count. It is which objection repeats after the third real conversation.

If three strangers independently say “I already track this manually” or “I only notice this when I hit the limit,” that becomes landing page copy, onboarding, and roadmap. A failed channel test is not always “wrong product”; sometimes it is “right pain, wrong moment to intercept them.”

The idea of the first channel focusing on conversions and not reach is pretty neat. Thanks for the idea.

the systemize before stacking principle is right but there's a timing risk on the other side too. if you wait until a channel is fully systematized before exploring the next one you can end up very dependent on a single acquisition source that could change overnight. reddit algorithm, policy changes, or just saturation in your niche can kill a channel faster than you can build a replacement. at what point in the systemization process did you start exploring what the second channel would be

The funnel-first point in step 2 is underrated. Most growth content skips straight to channel tactics, but you can’t out-market a leaky product.

One thing I’d add from my own experience: the “systemize before you stack” principle applies to learning too, not just execution. Before moving to a new channel, it’s worth writing down exactly why the current one worked — your ICP profile, the hooks that got replies, the objections that came up. Otherwise you start channel #2 from scratch instead of from a head start.

Curious what your retention fix actually looked like in practice — was it mostly onboarding changes, or did the positioning shift affect who you were targeting in the first place?

Love the framework on how to decide which marketing channel to add next. The point about avoiding a channel that forces you into content creation if you don't have the bandwidth is a major trap most early-stage founders fall into. Consistency over complexity, always. Great read!

I like the "systemize before stacking" framing. One thing that helps avoid fooling yourself is writing down the channel's input/output loop before adding the next one: daily action, leading signal, lagging signal, and stop condition. If you can't name all four, it usually means the channel is still a bet, not a system.

Really useful breakdown.

One thing I’m struggling with is identifying when a channel is actually “working” versus when I simply haven’t given it enough time yet.

Looking back at your journey, what specific signals told you that a channel was worth doubling down on instead of moving on to something else?

This is really helpful. Appreciate you writing this up

The distinction between broadcasting and conversations early on is such an important mindset shift for developers. Spending time learning directly from users prevents you from building the wrong things too fast

Reddit can work really well if you treat it like listening first and not just blasting links. The best results I've seen come from tracking very specific pain-point keywords, jumping in early, and writing replies that would still be useful even if your product didn't exist

Automation helps with discovery, but the reply still needs a human touch or people can smell it a mile away

The best thing would be if this system were accessible to everyone, and IT IS??? What is it and how much does it cost? Does it do what we all need, automatically???

The 'systemize before you stack' point is the one most founders skip. At SocialPost.ai we wrote down the exact daily steps for our first channel before touching a second one, and that doc is what let us hand it off without losing output. One thing I'd add: define what 'working' means in numbers before you stack. If you can't say 'this channel gives X signups per week at Y% retention,' you don't have a system yet, you have a streak.

the "first channel = conversations not reach" point landed for me. learned it the hard way.

shipped a Ruby gem and went straight for the broadcast play. tried submitting to awesome-ruby (the big curated list in my niche). auto-rejected, they want 30k+ downloads. I had 700. closed PR, zero conversation, zero signal about whether anything was working.

what actually moved was the opposite shape. dropped into r/rails answering specific questions. sent 10 cold emails to founders who'd posted about logging pain. those 10 emails told me more in 48 hours than 3 months of "building visibility" ever would have.

one thing I'd add to your framework. the wrong first channel also lies to you about the product. broadcast returns silence whether the product is bad or the channel is bad, and you can't tell which. conversations return a sentence, and the sentence is usually the actual answer.

question for you. when you say "fix the funnel first," what was the signal that told you the funnel was broken vs the channel just being slow? that's the call I keep getting wrong.

So enlightening. I tried reddit and it was brutal, i wanted to connect with developers and show a product, for me 1-1 is not an option. Lessons learnt. Then tried instagram only to realise app needs optimization to load in insta web view, people hate to open external app, so building trust was key. After fixing it, slowly users started coming to site. It's fun as long as you learn and improve.

'Systemize, then stack’ is a great rule of thumb. It's so easy to abandon a channel that is working passably well just to chase a shiny new one. For your automated Reddit system now, how much time do you still spend reviewing things manually to keep that authentic, human touch?

Wow! I need this and am signing up now. Amazing stuff. I have been battling with Reddit for days trying to find the right content and meet all of the different group requirements (I wasn't a user before).

'Systematize, then stack' is the line most people miss — they abandon the channel that's working to chase the next shiny one and end up with three half-built funnels. Went the same route with my WhatsApp agent: nailed one channel (being useful where buyers already complain) before touching anything else. The 'no audience needed' part scares people because building in public feels productive, but a system that runs without you compounds way harder. Solid breakdown.

Really impressive approach to Reddit automation! I’m currently scaling my own project, which is a multilingual typing platform, and I’ve been navigating some similar technical challenges regarding performance and reliable automation. It’s great to see how you’ve tackled the marketing side of things. How are you handling the API rate limits or potential shadow-banning issues while scaling this? Would love to hear your thoughts!

The three months fixing retention before adding more marketing is the part most founders skip because it feels like going backwards.

How would you adjust the conversations-first playbook for products where the ICP isn't visibly congregating anywhere? Some problems are too personal or low-stakes for people to post about publicly. They just quietly look for a solution or they don't.

2 definitely resonates, its also interesting when you are a part of your ICP and the narrowing down is still finicky.

Choose the next marketing channel by analyzing audience behavior, budget, performance data, business goals, and growth opportunities.

"I didn't build an audience. I built a system." — this framing is gold.

Most build-in-public advice is basically "just be consistent and your audience will come." You're saying the opposite and I think you're right. Distribution without manual grinding is the actual moat.

I'm on day 4 of launching Melororium publicly with 0 audience. Watching Reddit threads manually right now — the idea of systematising that is exactly what I need.

How long did it take you to get the Reddit targeting accurate enough to not feel spammy? That's the line I'm worried about crossing.

Resonates - I shipped JobPilot AI 8 days ago without an audience and a key learning is that "system" wins over "personality-driven launch" especially when you're solo from a non-US market. Did you find the system works better for B2B or B2C? My experience: B2C still needs the personal hook on launch day, B2B can survive cold.

love it

The tax nobody mentions on the audience route: it never lets you stop. You become the product, so the day you go quiet, growth stops too. A system keeps working when you are not. That is the real unlock.

I really liked the approach you have taken. Traditional approach of building an audience is a waiting game, and has a high failure rate. In your approach, you are addressing the problem of finding customers head-on, which ultimately reduces the failure risk as efforts are in the right place.

I really like this angle, thank you. It resonates

It's a great experience. I want to build a SaaS, but I don't have time to build an audience six or more months. So it's a good tip for me. Thanks and I think your system will make you rich.

Good system is what you need, it will put you front of all people

The system-over-audience frame is right, and I'd add: the system matters most on the days you don't feel like it. I'm 18 running a couple of small projects, and the single biggest upgrade this month wasn't content — it was wiring a daily routine that hands me the day's tasks instead of me deciding each morning. Motivation is a terrible scheduler. Curious what your system does on autopilot vs what still needs you to show up?

As a solo founder, I find the emphasis on systems particularly compelling. Time is usually the scarcest resource, and manually searching for opportunities across communities doesn’t scale. Creating a structured process around distribution allows founders to spend more energy building while still maintaining a consistent presence where their potential users already are. That’s a valuable shift in mindset.

Great idea. Like the way you think and thanks for sharing

This consistent, low-friction approach is so much smarter than relying on a single viral launch. When you reach out via DMs, do you find people are genuinely receptive, or do you occasionally get pushback for pitching?

I run a social media SaaS, so it would serve me to tell you to build an audience. I won't. For most pre-revenue founders, direct conversations beat content for exactly the reason you named: learning speed. The nuance I'd add is that those daily replies and DMs quietly become an audience anyway. Your name keeps showing up where your buyers live, and that reputation compounds like a following, just one made of customers instead of spectators.

ran this exact experiment for 6 months. didn't expect the daily reps to compound so cleanly, but they do. launch days feel bigger - the grind is what actually sticks.

What's interesting is that the system seems to scale understanding before it scales revenue.

By the time someone becomes a customer, you've already seen the language they use, the objections they have, and the problem they're trying to solve.

That tends to make positioning improve much faster than waiting for inbound traffic.

Interest Mining && Lead Generation ？？？

$2.5k MRR from daily outreach and thread replies is real traction. the question that would help me understand the system better is how many hours a day it actually takes and whether that time requirement stays flat as you scale or whether you eventually hit a ceiling where the system can't generate more customers without more of your time

The system vs audience framing is the right way to think about it. Most founders chase followers thinking distribution comes first, but consistent lead flow is an engineering problem, not a popularity contest. What does your feedback loop look like — how long before you know if a content format is working?

I like this approach a lot. I am starting out now and I think this is what I need to apply.

Thanks for your post

This is pretty smart instead of looking for gold, sell shovels.

This matches how I think about it after bootstrapping my own SaaS. The part people miss is that the system is not really about outreach volume, it is about harvesting language. Every one of those 1:1 conversations hands you the exact words your buyer uses for their problem, and that language is what makes your product, your pricing page, and eventually your content actually convert. The one thing I would flag for the next stage: pure 1:1 outreach is linear, so your growth is capped by your hours. I would treat the conversations as research that funds a second, more scalable channel once the funnel is healthy, not as the forever engine. You clearly know this given the systemize-then-stack point. At $2.5K MRR, what is the first channel you are stacking on top, and is it inbound or still outbound?

The hard part of "leave helpful replies" is that helpful is doing a lot of work in that sentence. Founders who burn out on this approach usually skip the step where you understand the problem well enough that your reply would be useful even without mentioning your product.

Curious what that looked like for you in the first few weeks before it felt like a system rather than just daily manual work with no clear feedback?

I am in a similar situation , i built a system with no followers, but i struggle to get subscribers after. what tool did you use to get to where your potential subscribers hangout. My system is for collection of social proof/testimonials, can you suggest any tools?

I agree with the core idea, but I think “no audience” is a bit overstated here—you’re still effectively building a micro-audience through daily outbound. It’s just targeted acquisition rather than public audience building. The distinction is interesting though.

"You need a system that puts you in front of the right people every day." Yes. You said it. That is very true. In my own project, I was able to reach decision makers, CEOs, Marketing Sales personnel I never knew they exist, with the help of my Agent Wings. They are very fast to the point I can't even keep up with their speed.

Really like this approach—going straight to where your users already are makes a lot of sense. The focus on high-intent conversations over vanity metrics is something more founders should pay attention to. Consistency in a simple system clearly beats chasing one-time spikes.

The "you don't always have six months to build an audience" bit really hit.

My problem applying it: your buyers post their pain in places you can find. Mine don't. I'm building a travel app for groups and nobody's in a forum asking how to plan a trip with friends, it all happens in the group chat, offline, nowhere I can DM into.

So genuine question: when the intent is real but invisible like that, where would you even start looking for these people?

I completely relate to this. Early on, I also fell into the trap of thinking I needed to build an audience first or launch big on platforms like Product Hunt. But like you, I realized that going directly to where my target users were already hanging out was way more effective. Having real conversations with people who had an immediate need for my solution gave me insights I’d never have gotten from passive strategies.

The point about "pain traffic" vs. "attention traffic" really resonates. When I started reaching out to people who were actively voicing their frustrations, the quality of conversations and conversions skyrocketed. It’s not just about volume—it’s about finding the right people at the right time.

One thing that worked for me was leaning on automation to save time. For example, I built a Chrome extension that automates tedious SEO tasks, syncing data directly to Google Sheets. That kind of time-saving value helped me find my niche. Happy to share more if you’re curious.

Curious—how do you balance daily outreach while still finding time to improve the product?

This is the part most founders miss.

The valuable thing here is not “posting more” or “doing more outreach.” It is that you turned buyer-finding into a repeatable operating system.

The key distinction is that your traffic is not attention traffic. It is pain traffic. People already had the problem before they ever saw your product.

That is why this works better than audience-building for most early founders. Audience-building creates future optionality. Buyer-intent systems create current conversations.

The question I’d be curious about is: how much of this is product-specific versus repeatable across other SaaS categories?

Because if the system can be adapted category by category, the real value is not just your tool. It is the process of identifying where buyer pain already shows up and turning that into a daily acquisition loop.

Worth flagging the structural problem before founders apply this advice.

Bazzly (automatic Reddit replies and DMs to "high-intent leads") gets users shadowbanned. Reddit's anti-automation enforcement tightened massively in 2025-2026. Automated/templated outreach to strangers based on keyword matches is exactly what Reddit's spam detection targets. Users running Bazzly on their main accounts accumulate shadowban signals that suppress all future posts.

The "I left helpful replies and sent personalized DMs every day" framing is the exact pattern that destroys Reddit accounts now. DMing strangers based on tool detection = instant ban risk. Reddit treats this as harassment/spam by design.

Manual Reddit engagement still works if it's genuinely native (commenting in communities you belong to, not keyword-triggered outreach to strangers). The system Filip describes blurs that line.

Verified MRR on TrustMRR (Stripe API-verified, last updated April 2026) shows Bazzly at $1,131 with 39 subscriptions, not $2.5K claimed. Worth checking the proof link before adopting the playbook.

The advice isn't a system — it's a way to burn through Reddit accounts faster than you can recover them.

Good advice

This is the exact order I keep getting wrong — trying to create content before earning the insights. Your framework of "conversations first, content later" just crystallized something for me.

I'm launching a Mac app that pre-drafts email replies using AI, and for the first few days I went straight to writing articles and forum posts. They were technically fine but generic. Nobody cared.

What actually started working was engaging in real conversations — replying to threads about email overwhelm, AI trust, founder productivity. Those conversations taught me which angles resonate (turns out "it never auto-sends" hits way harder than "AI-powered email assistant") and which objections come up ("what about privacy?" — so I made it run 100% locally).

Now the content writes itself because I'm just packaging what I learned from those conversations. Your point about "real experience makes content convert" is exactly right — the difference between theory and lived experience is obvious to readers.

Curious about your 30-minute daily habit — do you batch the "find threads" and "reply to threads" separately, or do you do both in the same 30-minute block?

This really resonates, especially the part about earning the insights before trying to teach them. A lot of founders jump straight into content without first having those real conversations with users. Your point about turning DMs, objections, and actual customer language into posts is super practical. It makes sense that content started working once it was grounded in real experience instead of theory. Thanks for sharing such an honest breakdown of the process—it’s a helpful reminder that the hard work comes first.

Point #3 is the one that hits hardest. I'm building an AI accountability app as a solo founder and I fell into exactly this trap early on — writing content about goal-setting and productivity because I thought that's what my audience wanted. Generic advice, zero traction.

What actually started working was sharing the real, messy, behind-the-scenes stuff. The fact that I'm a 40-year-old marketing consultant who spent 6 years buying the same physical planner before finally building the digital version. The conversations with early testers who told me what actually kept them coming back (hint: it wasn't the AI coaching, it was the daily "did you do it?" notification).

The order you describe — conversations first, then content — is something I wish I'd internalized earlier. The content that converts isn't the content that sounds smart. It's the content that makes someone think "this person actually knows what I'm going through."

Saving this post. Really solid breakdown.

top of validated demand rather than a discovery channel is exactly backwards from how most founders think about it.

The "nothing real to share" problem in the first 6 months resonates hard. Generic recycled takes get ignored because audiences can feel the difference between someone who has lived through something and someone who read about it.

Currently in the conversations phase myself with klovio — 13 days of community outreach, Reddit comments, and user interviews before writing any product code. Saving the content for when I have real stories worth telling. This post is good timing honestly.

My product, GPTPromptMaker, went live 10 days ago. I’m currently focused on cold outreach and social media. It’s a bit of a 'chicken and egg' problem—you don't have success stories in the early days, but without posting, you can’t showcase the product. The hardest part right now is balancing posting, reaching out, and gathering feedback all at once.

Great experience! How did you acquire your first batch of loyal users?

Point #1 is something I wish more people talked about. There's this pressure to start creating content from day one, but if you haven't shipped anything yet, haven't talked to users, haven't failed at something real, what are you actually going to write about? Recycled advice from other founders, which is exactly what the algorithm ignores.

I ran into this with my own apps. Early on I tried writing about the building process and it felt forced because nothing interesting had happened yet. The posts that actually got traction came later, after I had real numbers, real user feedback, and real mistakes to share. One post about a specific distribution failure got more engagement than weeks of "here's what I'm building" updates.

The order you laid out (conversations first, content later) is counterintuitive because everyone sees the successful founders posting daily threads and assumes that's step one. But those threads work because they're backed by months of actual experience. The content is the output, not the input.

thanks for sharing.

This is one of the most honest takes on content I've read, Filip. The line that hit me: "I hadn't earned the insights yet." That's the thing nobody tells you , you can't skip the messy middle.

I built FontPreview.online the same way. For the first few weeks, I tried writing "helpful" font guides. Generic stuff. Nobody cared.

Then I started spending time in Reddit threads where people were actually asking font questions. Not posting content , just replying. Helping. Listening.

After months of those conversations, I had real stories. Real objections. Real language. When I finally wrote about font licensing mistakes (the $10k close call), it worked because I'd actually lived it.

Your point about "content was a distribution layer on top of validated demand" , that's going on my wall.

Quick question: when you started seeing traction, did you find certain topics performed better than others? Or was it more about the depth of the insight?

nice work.

Have you ever felt like your company is doing well but people still don’t take you seriously yet?

I’m starting to think perception plays a much bigger role in founder success than we admit.”

I always download productivity apps and then never use them.

So I tried building something different.

Instead of one big app, I made a collection of tiny tools.

Things like:

• a 30 minute focus sprint timer
• a tiny task generator
• a dopamine reward picker
• random study and workout tasks
• meal and movie pickers
• writing prompts

Everything runs directly in the browser with no login or installs.

I bundled them together as Tiny Productivity Tools on itch if anyone wants to check it out.

optimize for attention, not intent

Thank you for sharing that analysis. I've long thought the same.

Strong take — intent beats attention early.

One practical thing that helped us improve conversion quality: we keep a tiny “objection bank” from every ICP conversation (top 3 hesitations in their exact words), then mirror those lines directly near CTA/pricing. Usually gives a faster lift than adding more top-of-funnel traffic.

If useful, I can share the exact 10-minute teardown flow we use for that:

https://roastmysite.io/go.php?src=external_manual_nonhn_ih_ph_mrr_objectionbank_20260328_c5_usd_presell_hv

fair concern — single-use validation tools do have that problem.

the way i'm thinking about it: founders don't validate once. they cycle through 3-5 ideas per year on average. each idea needs fresh market data, competitor analysis, and kill criteria checks.

but you're right that the first version is closer to a one-time tool. the recurring value has to come from what happens after the verdict — tracking pivots, re-evaluating after market shifts, comparing multiple ideas side by side.

if that doesn't stick, the honest answer is this becomes a lead-gen tool for consulting, not a subscription product. still figuring that out.

"You don't need a launch to validate. You need conversations to validate." — this is the part most skip. They jump straight to building

because the idea feels right, then spend months before realizing no one actually wants it.

The validation has to happen before the first line of code, not after the launch.

Living this exact approach right now with two Mac apps. Skipped Product Hunt completely and just went to where my users are: dev communities, X, forums where people complain about the actual problems.

One thing I'd add to the conversation-first point. The conversations don't just teach you about your product, they teach you the exact language your users use to describe the problem. For my focus/productivity app, I kept hearing people say "I don't want to block YouTube, I just want to block the feed" and that one insight completely changed my positioning. I never would have gotten that from a PH launch spike.

Congrats on $1K. The conversation flywheel is real.

Really practical insight. A lot of founders underestimate the value of direct conversations with users. Building through real feedback instead of relying on launch spikes makes a lot of sense.

The instinct to wait until it feels ready is the one that kills more launches than bad timing ever does.

This really resonates. The “attention vs intent” distinction is so important, and I think a lot of founders learn it only after a disappointing launch.

A launch can create visibility, but conversations are what actually reveal who is ready to pay, what objections matter, and how to position the product.

Curious — when you were talking to people in your ICP, what was the clearest signal that told you someone was a real potential customer rather than just casually interested?

This resonates a lot.

It seems like many founders treat a launch as the starting point, when in reality it should come after you already understand the problem space and the people you're building for.

The idea of having ongoing conversations instead of chasing one spike of attention makes a lot of sense. Those conversations tend to reveal the real pain points much faster than analytics ever will.

Curious — when you started reaching out and talking to people in your ICP, what kinds of questions or signals helped you quickly identify who was actually ready to pay versus just exploring?

Love this approach - conversations over vanity metrics. I've launched 6 apps and learned the same lesson: real customer feedback beats any launch spike. The Reddit content flywheel you built sounds exactly right for sustainable growth.

this mirrors my experience almost exactly. my first two products i rushed to launch before i understood who would pay and why. both failed. on my current one i deliberately skipped any public launch — went straight to testing whether real users would engage with the output and whether anyone would pay anything at all. started with the smallest possible price point just to prove willingness to pay existed. that one signal was worth more than any launch day spike would have been. the conversation-first approach feels slow but it compounds in ways that launches never do.

Congratulations on your new milestone! I am starting something new so it is great to see the experience of others and also see the proper steps to take. A trend I'm seeing on here is how proper planning along with careful thoughts and considerations lead to better results, like what you are having.

The distinction between a launch and a system is the right one, but there's a more precise way to say what you're actually describing: you built a demand capture loop before you built a demand generation engine. Conversations gave you the ICP clarity, the objection map, and the positioning language. Content then broadcast that language to people who were already experiencing the problem. Product Hunt would have inverted the sequence broadcasting before you knew what to say and to whom.

The point about launch platform visitors not being in buying mode is correct but worth nuancing. The problem isn't Product Hunt specifically it's launching before you have the conversion infrastructure to capture intent. The same founder who gets 500 sign-ups from Product Hunt and converts 2% has a 10x better outcome than the one who gets 500 sign-ups and converts 0.2%, and the difference is almost entirely in onboarding, positioning clarity, and the speed to first value. Most founders who "failed on Product Hunt" actually failed at converting intent they successfully generated.

The compounding loop you're describing conversations → content → more conversations → better content is the right model for early B2B SaaS at sub-$10K MRR. The reason it works is that each conversation makes the next piece of content more specific, which attracts a higher-quality audience, which produces better conversations. The loop doesn't start with content. It starts with the humility to talk to people before you think you have anything worth saying.

The question worth answering publicly for anyone reading: what was the specific channel where your ICP was already hanging out, and what did the first conversation that led to a paying customer actually look like? That's the most actionable thing you could share and it's the part most "how I got to $1K MRR" posts leave out entirely.

This matches what I've seen building my own apps. The founders who obsess over launch day usually get a nice spike and then spend the next month wondering where everyone went. Meanwhile the ones who just talk to users every day quietly build something sustainable.

The compounding loop you describe is real. I started doing something similar with my apps, going to communities where people already had the problem, having actual conversations instead of dropping links. The early users you get that way are so much more valuable because they'll actually tell you what's broken.

Curious though, do you think there's still a good time to do a PH launch eventually? Like once you have the compounding system running, could a launch act as fuel for it rather than a replacement?

Interesting idea.

I recently launched a small SaaS and one thing that helped was focusing on a very specific niche first.

Have you thought about targeting a specific user group?

This hits close to home. I'm pre-revenue building Acardai — an AI tool that tells you which credit card to use for any purchase.

I've been tempted to rush toward a Product Hunt launch but posts like this keep pulling me back to the basics. Go where the ICP is, have real conversations, earn the launch.

The part about content resonating because it comes from real experience — that's the thing I'm trying to build right now on Reddit and X

Still early but it's already teaching me more than any analytics dashboard would.

Congrats on $1K. Following your journey closely.

You didn't miss much though. I launched my twitterwebviewer there 2 months ago, and honestly, Product Hunt didn't even pass a decent backlink.

Keep building, the real growth is in the organic search, not the launch day hype

Hey Filip, thank you so much for sharing your story. I really resonate to your story. Unless your product is viral, PH and other tools seem to have limitations. They're really just for landing page badges.

This reframes the whole launch debate really well. The distinction between "attention" and "intent" is something most founders figure out too late — usually after the post-PH traffic drops off and they're left wondering why signups didn't convert.

What you're describing is essentially doing customer development continuously and then building a distribution flywheel out of what you learn. The insight that real conversations → content → more traffic → more insights → better product is a compounding loop that launch events simply can't replicate.

One thing worth adding: Product Hunt can still be valuable once you have this foundation, but as a credibility signal (for press, investors, partnerships) rather than a customer acquisition channel. The timing you're describing — validate first, build a system, then launch — is the right order.

Congrats on $1K MRR. What does your current acquisition mix look like now — still mostly Reddit, or are you seeing other channels pick up as you scale?

This really resonates with me. I'm building a SaaS in the feedback tool space and I've been going back and forth on whether to do a PH launch. Your point about "conversations to validate, not a launch" is spot on. I spent months writing 2000+ blog posts for SEO when I probably should have been having 1-on-1 conversations with potential customers instead. The knowledge you get from direct conversations is way more actionable than any launch spike. Curious — when you say your best customers came from conversations, were those cold outreach on Reddit/X or more like warm intros through your existing network?

Hey !
I was actually wondering about launching on ProductHunt but was not sure it was the right move for me.
Your post helped me realize it is probably not what I need most right now, so thank you for that.

really like the spike vs system framing. i think PH still has a place but not as a growth strategy on its own, more like a proof-of-momentum event that gives you social proof you can use downstream. like the "featured on PH" badge, upvote count, testimonials from launch day comments, those become assets you put on your landing page or in your ad creatives later. but you're 100% right that launching before you have the conversion infrastructure to capitalize on the traffic is just burning a one-time shot. what does your daily ICP conversation system actually look like, is it mostly manual outreach or do you have some workflow around it?

Really resonates. The “spike vs system” framing feels right.

Hey Fillip!

I actually launched on Product Hunt today but I totally hear where you're coming from. The thing is my product is mostly suited to digital wellbeing, and most of my target user base is usally on Reddit which doesn't really promote self-promotion.

That's why I thought a platform like Product Hunt would be good for visibility/distribution?

Great post though, and looking forward to the discussions.

Hey Filip, thanks for the insight! I'm planning to launch a Sales Enablement platform that will take on the likes of tools like Heyreach, Lemlist and the sorts... (hopefully; fingers cross) Planning to launch some day 1 offers, so thought that platforms like Product Hunt might be a good fit.

This matches a pattern I keep seeing with early SaaS.

Launch platforms are great for visibility, but they rarely create intent. Most of the people browsing there are other builders, not someone actively trying to solve the problem that day.

The interesting part of your post is the “conversation → insight → content → customers” loop. Once you start talking to people who actually feel the problem, the messaging and positioning get dramatically clearer.

Curious — what was the first signal that told you someone you were talking to was likely to convert into a paying customer?

This really resonates with me.

I'm currently building Fly-Claim, a platform that helps air passengers claim compensation when their flights are delayed or cancelled under EU261. And I'm realizing the same thing: talking directly to people who already have the problem is far more valuable than a big launch spike.

Most of the useful insights I've gotten so far came from conversations with travelers who experienced delays or missed connections. Those discussions helped me understand why many passengers never claim compensation even when they're eligible.

So your point about conversations > launch events makes a lot of sense. Curious, where did you find the most valuable conversations with your ICP?

Congrats!!!

This matches what I’ve seen with launch platforms. They’re great for exposure and feedback, but the traffic tends to be very “tourist-like.” People are curious and sign up to try things, but they’re not necessarily the ICP. Direct conversations with users usually produce much clearer signals about what actually drives someone to pay.

Congrats on $1k, and the core point here is right. A launch without an audience is just hoping strangers care. But I'd push back a little on the framing that PH is just a spike with no lasting value, because I think it depends a lot on what you're using it for.

If you go into a launch expecting customer acquisition, you'll probably be disappointed. But if you go in with 500+ people already waiting, a clear ICP, and you're using it mainly for social proof and SEO backlinks, it compounds differently. The badge on your homepage, the reviews, the domain authority from the PH listing, those don't disappear after launch day.

The real mistake most founders make isn't launching on PH too early, it's treating the launch as the strategy instead of one piece of it. What you actually built, direct conversations turning into content turning into more conversations, that's the system. PH can sit on top of that as a credibility layer without replacing it. The founders who get the most out of PH are usually the ones who needed it the least, which sounds frustrating but just means you validate first and launch second, exactly like you did.

This is the most honest take on Product Hunt I've read. The "spike vs system" framing really hits home.

The part about going where your ICP hangs out every single day is exactly what I'm doing right now with my own product. It's slower than a launch but the quality of feedback is so much better — you're talking to people who actually have the problem.

Quick question — when you say you "started conversations", were you being upfront about your product from the start or did you ease into it after genuinely helping first? That's the line I'm still figuring out personally.

Congrats on $1K MRR! 🎉

Interesting perspective.

I think launch platforms like Product Hunt are great for visibility and momentum, but they’re not really a validation tool.

Validation usually comes earlier from conversations with users, not from a launch day spike.

The launch is more like a distribution moment than product validation.

The framing here is right: a launch is an event, not a channel. And events don't compound.

What I'd add: even when you're "ready" to launch on PH, the ROI depends almost entirely on whether you already have an audience to mobilize. Without upvote momentum in the first few hours, you fall off the front page and the traffic is essentially zero.

The founders who crush PH launches aren't discovering something new — they're amplifying something that already has traction. Which is exactly your point: the system has to come first.

The part about conversations teaching you objections is underrated. You can't optimize a landing page for objections you don't know exist. Cold traffic exposes all of them at once.

That's what I've been thinking. I don't feel like I'm ready to launch on any of these platforms, because I'm sure my product is not yet good enough for a larger audience. By not good enough I mean there are parts that I know are not good enough, but also that it's not validated enough yet.

I'd rather move one user at a time and gather feedback until they are happy than go to any of the large launch platforms and fail with a big bang. Unless it looks like I'm running or building already ahead of feedback, what would be the point?

Hello founders,

I represent a group of companies looking to invest in promising startups and scalable projects.

If your startup has growth potential, feel free to share a brief overview or message me directly.

This resonates a lot.

Something I've noticed looking at a lot of SaaS landing pages is that founders often treat launches as the moment where validation happens, when in reality validation usually comes from conversations long before that.

Analytics tools show where users drop off, but they rarely explain why someone hesitated or didn't trust something enough to convert.

Talking directly to potential users fills in that gap in a way dashboards can't.

Curious — during those early conversations, what objection surprised you the most?

Hello Indie Hackers! 👋

I'm excited to share that my latest micro-SaaS, SachCheck AI, just got approved and featured on the SideProjectors homepage!

The Problem:

In India, fake news in regional languages like Hindi spreads like wildfire. Most tools are built for English, leaving 600M+ Hindi speakers vulnerable.

The Solution:

SachCheck AI is a lightweight tool that uses the Google Fact Check API to verify claims instantly in Hindi.

Tech Stack:

- Frontend: Vanilla JS, HTML, CSS

- Hosting: Vercel

- API: Google Fact Check Tools API

I am now looking for a new owner to take this forward and scale it. You can see the live listing here: https://www.sideprojectors.com/project/sach-check-

Would love your feedback on the tool!

The ICP-first approach over launch platforms is right — 'browsing curious' vs 'actively buying' is a real distinction most early founders miss.

One thing that accelerates the → MRR leg once you have paying customers: protecting the revenue you've already earned from failing payments. At MRR you have 10-15 subscribers. If 1-2 payments fail in a month (typical rate), that's 10-20% of your base at risk. Manual recovery at this size is fine.

The reason to set up automated recovery now rather than later: at -10k MRR you're dealing with enough failures that manual tracking slips, and churn compounds silently. A Day1/Day3/Day7 email sequence triggered by invoice.payment_failed is the right infrastructure to build once and forget. tryrecoverkit.com/connect does this automatically — worth setting up at so it's running by the time it matters.

When you were reaching out directly to your ideal users in the early days, did you ever run into trouble with subreddits that were strict about promotional messages?

It seems like some of those communities are quick to ban anything that even smells a little like outreach, even if you're just offering help or asking for feedback. Something worth trying in those strict spaces is shifting your first contact fully into the comments, offering tangible advice or fixes for their issue rather than mentioning your tool upfront. Once you've established yourself as genuinely helpful, people often DM you first or check out your profile, which opens the door for deeper conversation without risking removal. That approach tends to work especially well on platforms where moderation is heavy and self-promotion is closely monitored. Building up a helpful public history makes any later outreach feel natural and often leads to warm inbound rather than cold DM spam accusations.

Phase 2 is the most underrated advice here. Everyone wants to skip straight to content and outreach but a leaky bucket just means you're working harder to stay in place. Saving this.

The phase most founders skip is Phase 2.

Fixing the leaky bucket feels like going backwards, but it’s usually where the real product insight shows up.

When you talked to churned users, was it mostly a feature gap or a positioning problem?

Really helpful breakdown. Thanks for sharing these insights!

Congratulations on $1,000 MRR.

I have a new project, I'm currently at 0 MMR. Thanks for sharing your story.

The informations are awesome

I learned a lot

Thank you so much

Curious, when you were doing 1:1 outreach in Phase 1, what was your rough conversion rate from “hey I built ….?