This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
QNS MARK Growth OS goes beyond standalone AI marketing tools. It starts by diagnosing your growth gaps, builds persistent context about your brand, and turns it into a personalised 90-day growth plan. Ads, SEO, competitors, creative strategy, copy, landing pages and more work from shared business context, so every analysis builds on what came before.
Hey 👋
I’m Shardul, founder of QNS MARK.
Growth OS came from a problem I kept running into while working on growth strategy: businesses rarely suffer from a lack of marketing tools.
They suffer from not knowing **what actually needs fixing first**.
You can have dashboards, ad reports, SEO tools, ChatGPT, competitor research and a dozen other subscriptions open at once and still be asking:
**“Okay… what should we actually do next?”**
That’s what we wanted to build around.
Instead of starting with another blank AI prompt, QNS MARK Growth OS starts with a structured Growth Audit. It diagnoses the business, builds persistent brand context and turns that into a personalised 30/60/90-day Growth Plan.
From there, the different parts of the system help investigate and execute against that plan: Ads Reviewer, SEO analysis, competitor ad analysis, Creative Research, Brand Voice, Copy Generator, Landing Page Roaster, Prompt Engineer and more.
The part I care about most is the shared context between them.
Your business shouldn't have to introduce itself to AI every single time you open a new tool. Growth OS remembers the brand context, previous work and relevant growth signals so the system can become more useful as you use it.
We’ve spent a ridiculous amount of time building the plumbing behind that idea, especially around real advertising data, persistent growth memory and making AI output actionable rather than producing another impressive-looking report nobody uses on Monday morning.
This is still the beginning, though.
I’d especially love Product Hunt’s feedback on three things:
1. Does the diagnosis → plan → execution workflow make sense when you first enter the product?
2. Which part of Growth OS gives you the strongest “I would actually use this” reaction?
3. What would have to be true for this to become part of your weekly growth workflow?
I’ll be here reading everything.
Thanks for checking out QNS MARK Growth OS. 🚀
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About QNS MARK Growth OS on Product Hunt
“The diagnostic method, productised.”
QNS MARK Growth OS was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #123 on the daily leaderboard. QNS MARK Growth OS goes beyond standalone AI marketing tools. It starts by diagnosing your growth gaps, builds persistent context about your brand, and turns it into a personalised 90-day growth plan. Ads, SEO, competitors, creative strategy, copy, landing pages and more work from shared business context, so every analysis builds on what came before.
QNS MARK Growth OS was featured in Analytics (173.6k followers), Marketing (467.9k followers) and Growth Hacking (150.5k followers) on Product Hunt. Together, these topics include over 104k products, making this a competitive space to launch in.
Who hunted QNS MARK Growth OS?
QNS MARK Growth OS was hunted by Shardul Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how QNS MARK Growth OS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Shardul Singh