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45 Comments

30 days ago I posted here with $0 revenue. Here's what actually happened next.

I posted on Indie Hackers 14 days ago. $0 revenue. 2,400 scans. A tool nobody knew about.

I almost quit three times since then.

Here is everything that happened.

The shadowban nobody told me about

For months I had been writing YouTube comments promoting TruthScore on make money online videos. Hundreds of comments. Zero clicks. Zero engagement.

I finally figured out why.

YouTube was shadowbanning every single comment containing my link. The comments were visible to me but invisible to everyone else. Months of work. Seen by nobody.

The fix? Stop including the link. Let curiosity do the work instead. Within days comments started getting replies.

The creator who called me out

I scanned a video from a creator called Marshall Malaba and posted the TruthScore result in his comments. He replied publicly:

"There's no affiliate marketing here stop lying"

He was right. TruthScore had misclassified his personal business links as a high pressure affiliate funnel. A genuine false positive.

I replied, owned the mistake, explained the algorithm, and apologised. He saw it. That interaction led me to fix a real flaw in the scoring system that was unfairly penalising legitimate creators.

A public callout became a product improvement. I'll take that.

The SaaS creator who noticed

I scanned a video from Nick Saraev — a well known SaaS builder — and posted the results in his comments without a link, just the data.

He replied:

"I have no idea what this is, but thanks."

That's the most encouraging thing anyone has said about TruthScore in six months.

Where I am today:

Revenue: still $0
Email subscribers: 13 real humans
YouTube subscribers: 10
Videos scanned total: 2,400+
Comments that were actually seen by humans: probably 20% of what I posted
Times I almost quit: 3
Times I actually quit: 0

What I've learned:

Distribution is harder than building. Everyone says this. Nobody tells you what it actually feels like to write 200 comments that nobody sees, make videos that get 17 views, and watch your PayPal sit at $0.00 for six months while you keep going anyway.

But here is the thing. The tool works. The gate converts. The popup works. The scoring is getting more accurate with every false positive someone calls out.

I'm not waiting for a viral moment anymore. I'm building the kind of consistency that makes a viral moment possible when it comes.

TruthScore is free. It scans any YouTube video in 10 seconds and tells you whether it's trying to help you or profit from you.

If you've made it this far — try it. And if you're building something with zero traction right now, reply below. I want to hear from you.

truthscore.online

on May 23, 2026
  1. 1

    This hit closer than I expected.

    I've been building Spendro (an expense tracker for people who don't want to connect their bank) for about six months. One user. A stranger who found me through a Reddit ad.

    The hardest part isn't the $0 revenue. It's building in a category where everyone already "has an app." Nobody's searching for another budgeting tool. They're searching for a reason to switch.

    Your line about distribution being harder than building, I felt that. I've been hiding behind SEO and hoping the App Store algorithm would do the work. It hasn't.

    The Marshall callout becoming a product fix is what I'm keeping. I've been treating zero feedback as neutral. It's not. It means nobody's seeing it yet.

    Still here. Still building.

  2. 2

    The shadowban thing hit me. I never considered that YouTube treats "new account + outbound link" as spam regardless of content quality. Removing the link and letting curiosity do the work makes sense — if someone's interested enough, they'll find you.

    1. 1

      Exactly — and the frustrating part is YouTube never tells you it's happening. No notification, no warning, just silent invisibility. I only figured it out by accident when someone mentioned they couldn't see a comment I had just posted. The curiosity approach actually converts better anyway because someone who searches for TruthScore themselves is far more motivated than someone who mindlessly clicks a link in a comment. They've already decided they want it before they even land on the site. Are you doing any comment marketing yourself or have you found other distribution channels that actually move the needle?

  3. 2

    This is really inspiring me bruh since i am facing this right now tnx for sharing journey

    1. 1

      This comment means a lot — genuinely. The hardest part of building something with zero traction is feeling like you're the only one going through it. You're not. How long have you been at it and what are you building? Drop it below — I'll try it and give you honest feedback. The least we can do for each other is show up and pay attention to what someone else is creating.

  4. 1

    the shadowban thing is so underrated as a lesson. most builders assume "my content isnt good enough" when the real problem is the platform literally hiding their stuff. weve had the same thing happen where we thought engagement was dead but it turned out the distribution channel was just filtering us out.

    the "stop including links" fix is counterintuitive but it works. let the value speak and people will find you. respect for the transparency on the $0 too, most ppl only share when the numbers look good.

  5. 1

    The "shadowban nobody told me about" section is painfully real. We hit the same wall with our proxy service — wrote decent content, got zero distribution, kept assuming the product wasn't good enough.

    Turned out it was a discoverability problem. The fix for us was narrowing to one very specific problem and writing about that one thing obsessively until the right people found it.

    The $0 to first paying user gap is brutal mostly because you can't tell if nobody wants it or nobody found it. How did you eventually figure out which one it was?

  6. 1

    It's interesting that you were able to identify the shadowban as the reason for the lack of engagement on your YouTube comments, and I'm curious to know what specific steps you took to overcome this issue and get your comments seen by your target audience. Did you find that modifying your comment content or using alternative promotional channels was more effective in driving traffic to your tool? What changes did you make to your strategy after discovering the shadowban?

  7. 1

    The shadowban discovery is painful but clever fix - letting curiosity do the work instead of dropping links. I ran into the same trust problem with my app: built a real-time skatepark activity tracker, first Reddit post got 25k views and top comment was 'garbage spyware' because of geofencing. Distribution and trust are genuinely harder than the product itself

    1. 1

      Garbage spyware' after 25k views is the kind of public gut punch that either ends a project or clarifies it completely. The geofencing explanation probably felt obvious to you and completely sinister to someone who didn't know what the app was doing or why. Trust is the product before the product is the product — nobody uses something they don't understand even if it works perfectly. The real time skatepark tracker is a genuinely interesting idea by the way. The distribution and trust being harder than the product is the thing every builder learns alone because nobody puts it in the tutorials. How did you handle the spyware comment — did you respond publicly or let it sit?

      1. 1

        I responded publicly: explained how geofencing actually works, that Apple doesn't approve apps doing continuous background tracking, that the app only wakes up near skateparks. Technically accurate. Didn't help. The comment stayed at the top with 50 upvotes and my reply got maybe 5.
        What I ended up doing was adding a dedicated page on the landing site explaining exactly what data is and isn't collected. Should have had it from day one. Trust has to be built before someone even opens the app, not after they're already suspicious

        Anyways, I've got 20 new users, let's see what will be next

        1. 1

          The privacy page existing before the suspicion arrives is the whole lesson. Trust architecture first, product second. 20 new users after all that says everything — the people who watched you handle it became your first believers. Rooting for the skatepark tracker.

  8. 1

    2,400 free scans with $0 revenue is worth looking at separately from the distribution wins. You mention the gate 'converts' and the popup 'works', but with no paying users yet, the question is whether the conversion mechanism is moving people to email signups vs. actual payment. Does the free scan give users enough of a result that hitting the paywall feels like a natural next step, or do they get the score, satisfy their curiosity, and leave? That gap between 'the gate works' and 'no revenue' is usually a conversion funnel problem, not a product problem.

    1. 1

      You've put your finger on exactly the thing that keeps me up at night. Honestly — I think you're right. The gate captures emails but the jump from email to $9 is where people fall off. The free tier gives you the score and the flags which might be satisfying enough that there's no felt urgency to upgrade. The popup appears 5 seconds after results but it's asking for money from someone who just got what they came for. I'm starting to think the free tier needs to give less — maybe just the score with no flags at all — so the $9 feels like the obvious next step rather than a bonus. Have you solved this kind of conversion gap in something you've built? Genuinely asking because you clearly understand the problem better than most people who've looked at this.

  9. 1

    The shadowban realization is such an underrated lesson - most people never even know it is happening. Appreciate you sharing the raw numbers. Keep going!

    1. 1

      The shadowban thing genuinely broke me when I figured it out. Months of comments, zero clicks, and I kept thinking the product wasn't good enough. Turns out YouTube was just silently hiding everything with a link in it and showing me my own comments so I'd never know. The raw numbers felt embarrassing to share honestly but I figured if one person building right now avoids the same mistake it's worth the vulnerability. What are you building? Always curious who's reading these.

  10. 1

    "Times I actually quit: 0" is the flex you earned. The Marshall bit — owning a false positive in public and turning it into a better algorithm — that's the kind of move I'll remember when my first 50 signups end up being 5. Rooting for you.

    1. 1

      That Marshall moment genuinely humbled me. My first instinct was to get defensive — the algorithm flagged something, it had a reason, I could have argued it. But he was right and arguing would have been the worst possible response in front of his entire audience. Owning it publicly and fixing it quietly felt like the only move that made sense. The '0 quits' thing isn't bravado by the way — there have been nights where I was completely done. The difference between quitting and not quitting is usually just going to sleep and waking up the next morning. Rooting for you too — seriously. When you hit those first 5 signups come back and tell me. I want to hear it.

  11. 1

    Really appreciate the raw honesty here - the shadowban realization is a harsh lesson. Curious what changed things after that?

    1. 1

      What changed was stopping the link entirely and just posting the actual data — the score, the flags, what the tool found — and letting people be curious enough to search for it themselves. Almost immediately comments started getting replies and engagement instead of disappearing into the void. But honestly the bigger mindset shift was stopping treating every comment as a marketing opportunity and starting to treat it as genuinely useful information for whoever was reading it. When the intent changed from 'get clicks' to 'actually help this person decide whether to trust this video' the responses changed completely. Had a SaaS creator reply to one of my comments saying 'I have no idea what this is but thanks' — that felt like more validation than a hundred silent clicks ever did. What made you ask — are you running into distribution walls yourself?

  12. 1

    The shadowban lesson is one of those things every founder gets to learn personally because nobody tells you in advance. Every distribution channel has a version of it. Reddit downranks links, LinkedIn buries posts with URLs in the body, YouTube hides comments. The actual takeaway is to design distribution that doesn't depend on the link at all. The Marshall callout was a gift, even if it didn't feel like one in the moment. Public negative feedback on a specific failure mode is the highest-signal data you can get for free.

    1. 1

      This is one of the most useful things anyone has said to me since I started building. You're completely right — every platform has its own version of the shadowban and they all punish the same behaviour: outbound intent. I was so focused on getting the link in front of people that I never stopped to ask whether the link was even the right mechanism. The Marshall callout being a gift took me a day to see clearly. In the moment it felt like public embarrassment. In hindsight it was the most specific, actionable, free product feedback I've received — a real creator, a real false positive, a real fix. No amount of user interviews would have surfaced that as cleanly. Your point about designing distribution that doesn't depend on the link at all is something I'm going to be thinking about for a while. TruthScore results are inherently shareable as content — scores, flags, comparisons — without a single link needed. I've been underusing that completely. Are you building something right now or mostly in the distribution and growth side of things? Either way I'd genuinely value your perspective on what you've seen work.

  13. 1

    has your distribution method only been YouTube, I feel like the algorithm behind the product is generally good, however is being limited to only YouTube videos, maybe in a future it can do general scans of media, with the age of AI, it could detect if something is true, and pinpoint whats fake, shady and etc, food for thoughts, the idea looks great, keep it up!

    1. 1

      Distribution has been YouTube comments, X posts, Dev.to blog posts, Pinterest, Reddit when my account karma allows, and Indie Hackers. YouTube comments were the most consistent but as I just discovered most of them were invisible the whole time. The general media scan idea is something I think about a lot honestly. Right now TruthScore is laser focused on YouTube because that's where the make money online scam problem is most concentrated and most measurable — there are real data signals to work with. But you're pointing at something bigger. A tool that scans any piece of online content — a tweet, a news article, a TikTok, a podcast — and tells you whether to trust it. That's a different product entirely but it's the natural direction this points toward. The YouTube focus was a deliberate starting point not a ceiling. The AI layer on top that actually verifies claims against real world data is the version I want to build when there's enough revenue to justify the API costs. Right now I'm just trying to get to $9. But I'm writing this down. Thank you for thinking bigger than I was thinking today.

  14. 1

    the consistency that makes a viral moment possible line is the reframe. building in the community space too, plenty of activity but the first 100 real humans matter way more than the next 5000

    1. 1

      That line came from a really dark night honestly — I needed to believe something that wasn't 'wait for luck.' Reframing consistency as preparation for a moment rather than a replacement for one changed how I showed up the next morning. The first 100 real humans thing is exactly where my head is now. I have 13 email subscribers and I know more about their behaviour than most funded startups know about their first 1000 users. One of them scanned a fitness video. One scanned a blood sugar supplement. One came back three times in a week. That's not data — that's people. What are you building in the community space? Always curious what's pulling people's attention right now.

  15. 1

    I tried this exact play and it broke for me too. I was answering questions in two small iOS subreddits, dropping a quiet link to my little Captio-style memo app at the bottom. Reach looked fine on my end. A friend checked in incognito and showed me half my comments were silently collapsed — the link, not me. Pulling the link and just describing the workflow doubled the reply rate inside a week. Did the Marshall conversation continue off-thread, or did you keep it all in the comments?

    1. 1

      The Marshall thing stayed entirely in the comments which in hindsight was the right call — keeping it public meant anyone watching the exchange could see the accountability in real time. Taking it to DMs would have looked like damage control. The Reddit shadowban experience you're describing is identical to what happened to me on YouTube — the platform shows you your own content normally so you never suspect anything. The friend checking incognito is such a simple thing that most people never think to do and it changes everything you thought you knew about your distribution. The 'describing the workflow instead of dropping the link' doubling your reply rate proves the same thing I discovered — when you remove the link you stop looking like you want something from people and start looking like you're just sharing something useful. The intent reads differently even when the content is identical. How is Captio doing now — did pulling the link translate into actual downloads or just better comment engagement?

  16. 1

    The shadowban lesson is the one more people need to hear — dropping the link and letting curiosity pull instead of push is counterintuitive but it's exactly why your comments started getting seen. You basically turned a distribution channel back on overnight by posting less.
    And the Marshall callout → product fix is the real win hiding in this post. A public "you're wrong" that you turn into a better product is worth more than 10 quiet signups. That's the loop that compounds.
    13 real humans who chose to give you their email is not $0 of progress — it's just progress that doesn't show up in Stripe yet. Keep going.

    1. 1

      Progress that doesn't show up in Stripe yet' — I'm writing that down and putting it somewhere I can see it on the bad days. That reframe is genuinely useful. The Marshall thing took me 24 hours to see clearly as a win. In the moment it felt like public humiliation on someone else's platform in front of their audience. But a creator with a real channel taking time to call out a specific false positive is infinitely more valuable than silence. Silence tells you nothing. A public callout tells you exactly what's broken and forces you to fix it in front of everyone which means you can never quietly ignore it. The shadowban lesson compounding into 'post less, say more' is the counterintuitive distribution truth I wish someone had told me in month one instead of month six. The 13 humans thing — I keep coming back to this. 13 people I didn't know six months ago looked at something I built, decided it was worth their email address, and came back. That's not nothing. That's actually everything at this stage. Thank you for this comment genuinely — you've given me more clarity in two sentences than most conversations give me in an hour. What are you building?

  17. 1

    This is one of the most honest startup posts I’ve read in a while because it shows the part people usually skip the invisible grind before traction. The YouTube shadowban realization alone is a brutal lesson in distribution mechanics. A lot of founders think they have a product problem when sometimes nobody is even seeing the message.

    Also respect for publicly owning the false positive instead of getting defensive. That kind of feedback loop is exactly how products become trustworthy over time. Honestly, 13 real subscribers who genuinely care is probably more valuable right now than inflated vanity metrics.

    The line about “building consistency that makes a viral moment possible” is probably the biggest takeaway here.

    1. 1

      The invisible grind is the part that breaks most people honestly — not because it's hard but because it's silent. At least a public failure gives you something to react to. Six months of comments nobody saw, videos with 17 views, a PayPal sitting at zero — there's nothing to push against. You just have to keep going on faith that the work is compounding somewhere even when you can't see it. The false positive thing — I think founders get defensive because admitting the product is wrong feels like admitting the whole thing is wrong. But a specific, targeted, public callout is the opposite of that. It means someone cared enough to engage. Marshall could have just rolled his eyes and moved on. He didn't. That's actually a gift. The 13 subscribers thing keeps coming up in these comments and I think collectively you're all telling me something I needed to hear — that I've been measuring the wrong thing. I kept staring at the Stripe balance instead of looking at the humans. The consistency line came from a really desperate place if I'm honest. I needed a reason to open the laptop the next morning. Turns out reframing the work as preparation rather than waiting was the thing that kept me going. What's the invisible grind looking like for you right now — are you in it?

  18. 1

    Your story, your struggle of never giving up, truly inspire me. Keep it up.

    1. 1

      Thank you — genuinely. Some days the only thing that keeps the laptop open is knowing someone somewhere is watching the journey and finding something useful in it. That means more than you know. What are you building?"

  19. 1

    The shadowban thing happens to almost everyone doing this - most people just never figure out why their click rate is 0. The 'no link, curiosity first' fix feels wrong until you see it work.

    Building BillWatch right now - federal bill tracker for small businesses. Same distribution reality: the people who need it most (dentists, restaurant owners, agricultural businesses) aren't searching 'congressional monitoring tool.' They're complaining on Reddit about Medicare reimbursement changes they learned about six months after the vote.

    Your false positive callout becoming a product improvement is the most underrated part of this post. Every creator who felt wrongly scored gave you exact coordinates for where the model breaks.

    $0 revenue and 2400 scans is not nothing. That's product-market signal. The revenue gap is a distribution problem, not a product problem. billwatch-landing.vercel.app if you want to see where I'm at with the same zero-traction wall.

    1. 1

      BillWatch is solving exactly the right problem in exactly the wrong distribution channel — and you already know it which means you're ahead of most people at your stage. The dentist complaining on Reddit about Medicare reimbursement six months late is your user and your distribution channel at the same time. That's actually a gift. The 'exact coordinates for where the model breaks' line is the best description of public false positives I've heard. Every creator who called out a wrong score handed me a precise failure mode I couldn't have found in a lab. Checking out billwatch-landing.vercel.app right now — rooting for you.

  20. 1

    This is a really useful breakdown tbh.

    The shadowban part is something a lot of people probably miss. People think their messaging sucks, but sometimes the platform is literally just not showing the comment because of the link.

    I also think the false positive story is a good sign, even if it probably felt bad in the moment. Getting called out by the exact type of person your tool scores is painful, but thats also the kind of feedback that actually makes the product sharper.

    One thing I would maybe test is turning those public scans into short case studies instead of only comments. Like “I scanned X video, here is what it got right, here is what it got wrong, here is what changed in the model.” That could build more trust since this type of product really depends on people believing the score is fair.

    Respect for still posting the real numbers too :-) $0 revenue posts are usually more useful than another fake MRR screenshot.

    1. 2

      The case study idea is the most actionable suggestion I've received in this entire thread and I'm implementing it this week. 'I scanned X video, here's what it got right, here's what it got wrong, here's what changed in the model' is exactly the kind of content that builds trust in a scoring product because it shows the reasoning not just the output. People don't trust black boxes. Showing the work openly is the antidote. The $0 revenue posts being more useful than fake MRR screenshots — yes. I'd rather be honestly broke and learning than quietly pretending. Thank you for this one specifically.

  21. 1

    The shadowban point is really interesting because a lot of platforms seem to treat "new account + outbound link" as spam automatically now, even if the comment itself is good. I've started noticing the same thing in smaller communities too.
    Honestly I think removing the links was the right move. If the idea is strong enough, curiosity usually performs better than forcing the click anyway.
    Also the way you handled the false positive probably helped the product more than getting defensive would have. Most people understand mistakes, they just want to see that the builder responds intelligently when they happen.

    1. 1

      You're right and I think about this more than I let on publicly. The 'new account plus outbound link equals spam' treatment is platform agnostic now — YouTube, Reddit, LinkedIn, they all do versions of it. The curiosity pull working better than the forced click has been the most counterintuitive and most confirmed lesson of the last six months. The false positive handling being more important than getting it right the first time is something I wish I'd understood earlier. Users don't expect perfection. They expect honesty when things break. Thank you for reading this carefully enough to pull that out.

      1. 1

        Yeah, it's honestly weird how universal that pattern has become. Platforms seem way more tolerant of someone contributing consistently without links than someone dropping a genuinely useful link too early.
        Feels like every platform eventually converges on "trust first, links later" whether they admit it or not.

  22. 1

    This is a stronger signal than it may look from the outside.

    The important part is not just that TruthScore scans YouTube videos. It is that you are finding a real wedge in creator trust: people want to know whether a video is genuinely helpful, quietly funneling them into an offer, or using pressure tactics they did not notice.

    That is a bigger trust/intelligence problem than one YouTube scanner.

    The naming is worth pressure-testing now. TruthScore explains the current function, but it also feels very literal and slightly browser-tool-like. If this grows into broader creator trust scoring, affiliate funnel detection, video risk signals, or consumer protection around online advice, the name may start feeling smaller than the system you are building.

    A name like Exirra .com would fit that bigger direction better because it feels more like a signal intelligence product, not just a score label. The product is already about reading hidden incentives and surfacing risk. The brand should make that feel serious before users even scan their first video.

    I’d think about this before more YouTube comments, subscribers, and search traffic start locking people into TruthScore as the final frame.

    1. 1

      This is the comment I needed to sit with before replying to. You're not wrong. TruthScore as a name describes exactly what the product does today — and you're right that literal names start feeling small when the system grows bigger than the original function. The 'signal intelligence product' framing is genuinely how I think about where this is going — reading hidden incentives, surfacing risk, detecting pressure tactics people didn't notice. That's bigger than a YouTube score. I'm not changing the name today because brand recognition at zero is still zero and consistency matters right now. But I'm writing this down and I'll come back to it when the product earns the right to a bigger name. Genuinely one of the most useful comments in this thread.

      1. 1

        Really appreciate that.

        And I agree with your sequencing: you do not need to rename today if the product is still earning its right to the bigger category.

        The thing I would pressure-test now is not only the name, but the whole category frame around TruthScore before more content, comments, search traffic, and early users start shaping how people remember it.

        If useful, I can do a focused naming/positioning audit around this exact question: whether TruthScore can carry the broader signal-intelligence direction, where the current name may create a ceiling, how to frame creator trust/risk detection more sharply, and what a stronger brand direction would look like if the product grows beyond YouTube scoring.

        Not a long consulting thing. Just a sharp written breakdown you can use while deciding how to position the next version.

        I’m doing a few of these at $99 while refining the format.

        If useful, connect here and I can put together a clear outside read for TruthScore:

        https://www.linkedin.com/in/aryan-y-0163b0278/

  23. 1

    One more thing —
    My name is Kelon. I'm a recent graduate from Kenya, currently building small SaaS tools with barely enough to keep the lights on. In December last year I got scammed by a YouTube video promising easy online income. Instead of just being angry about it I built TruthScore to make sure it doesn't happen to anyone else.
    I'm not a serial founder. I don't have investors. I don't have a team. Just me, a laptop, and a tool I genuinely believe can help people.
    If you have 60 seconds I'd love for you to try TruthScore on any YouTube video you've been meaning to watch — truthscore.online — and tell me honestly:

    Did the score make sense to you?
    What would make you trust it more?
    What would make you pay $9/month for unlimited access?
    What's missing that you'd actually want?

    Every single reply comes directly to me. No team, no support desk, no AI autoresponder. Just me reading your feedback and taking notes.
    Thank you for reading this far. It means more than you know."

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