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I'm 17 & I built an "Agentic AI" to kill the 15-minute Shopify listing grind. Seeking feedback

Hey hackers,
I’ve been obsessed with the operational side of Shopify lately.
One thing that consistently blows my mind: even in 2026, most merchants are still spending 10-20 minutes manually copy-pasting data to list a single product. It’s a massive growth killer.

I’m building Filleo to turn that into a 15-second task. It’s an agentic AI that takes messy product data (supplier sheets, PDFs, raw notes) and transforms it into a ready-to-publish listing.

It handles the titles, formatted descriptions, SEO tags, HS codes & everything else automatically.
The Tech/Strategy: I’m currently in the pre-launch phase and focusing on the "high-frequency listers" who add products one-by-one.
The $0.99 Experiment: I’m testing a super low-friction pricing model—premium access for just $0.99 for the first 100 people who join the below waitlist. My theory is that for a solo founder, a sub-$1 tool that saves 10 hours a week is a no-brainer.

I’d love your feedback on:
Is $0.99 too low?
Would you buy it?
Does it make the tool look "cheap" instead of "affordable"?
What’s the most "manual" task you still do in your business that AI hasn't solved yet?

30s Demo: https://youtube.com/shorts/K_uncUg2NVc

Waitlist: https://filleo-roan.vercel.app/

Happy to answer any questions about the build!

on May 3, 2026
  1. 1

    Ehaan, great work for 17. The $0.99 question is interesting but I think there's a framing issue: you're selling a productivity tool to merchants, and $0.99 signals "consumer toy" not "business tool." The merchants who actually save 10 hours/week will pay $19-29/mo without blinking. The $0.99 crowd churns fast and leaves support overhead.

    I'm dealing with a similar positioning challenge with ClipForge (AI video repurposing SaaS). What's worked: charge based on the value you unlock, not what feels safe. For a tool that eliminates 10h/week of listing work, $0.99 leaves serious money on the table even as an intro price.

    On the agentic approach: are you doing any pre-processing on the supplier PDFs with vision models, or is it strictly text-based parsing?

  2. 1

    "This is exactly the right problem to be solving. To answer your question about the most 'manual' task still out there: I spent three solid days in mid-April doing nothing but 'chopping' and processing data for a technical project. Even with AI handling 90% of the generation, the simple act of pasting unstructured text and wrestling with the formatting was a massive bottleneck.

    I just watched your 30s demo with the Logitech headset, and if Filleo can actually take that kind of messy, unstructured supplier paste and reliably map it to the right Shopify fields without requiring human formatting first, you've nailed the core value.

    Regarding the $0.99 experiment: it definitely reduces friction for a waitlist, but I lean toward leoparkbuild's take. Since this is a B2B tool touching production catalog data, $0.99 feels like a consumer app price, which might inadvertently lower trust. A free trial (which you actually mention at the end of the YouTube short!) leading into a $9.99/mo tier might signal higher reliability while still being a no-brainer for a solo founder.

    Great work for 17. The agentic approach to unstructured pasting is the right move."

    1. 1

      Really appreciate that! If you're interested, feel free to join the waitlist to get early access.

  3. 1

    Built TokRepo (skill marketplace for AI agents) and the agentic-listing pattern is the right shape for this market — but the failure mode hidden in the demo eats you at scale. Three things to check before 100 active merchants:

    1. HS-code accuracy on edge cases. We see ~94% on common SKUs (electronics, apparel) vs ~71% on niche (specialty food, supplements, hazmat). That 23-point gap = silent return-rate spike at month 3. Add a confidence score per field; <85% requires human review or you eat customs disputes.

    2. Title/SEO drift. AI-generated listings produce consistent output within a week, but at 30+ days the same input gives 18% different output (model versioning + prompt drift). Shopify SEO loses ranking on re-generated listings. Pin the prompt + model version per product.

    3. The $0.99 vs $9.99 debate is downstream of trust — the actual conversion lever is "can I see one of MY products listed before I commit?" Show 3 free demo runs on their store inventory, then $9.99 monthly. We saw 4.2x conversion vs flat pricing across TokRepo's agent-skill onboarding.

    Agentic-AI-for-merchants is real and big. Shopify listing wedge is correct. Just don't ship without the confidence gate. The 17-year-old founder + agentic-AI combo is a cleaner positioning than half the YC AI batch this year.

  4. 1

    Replacing 20 minutes of manual copy-pasting with a 15-second automated agent is exactly the kind of friction reduction that turns a tool into a necessity. The $0.99 offer is a smart way to gather data quickly, provided the AI nails the complex fields like HS codes and SEO tags every time. Do you plan to add bulk parsing for those messy supplier spreadsheets next?

  5. 1

    Really interesting experiment with the $0.99 pricing.

    My take: it doesn't look cheap, it looks frictionless — which is
    exactly what you want for a waitlist conversion. The risk is people
    who pay $0.99 have different expectations than $9.99 users.
    Worth testing churn after month 1.

    The "messy supplier sheets → ready-to-publish" angle is strong.
    That's a real pain point.

    Most manual task I still do: syncing payment/subscription status
    between Stripe webhooks and my DB. Just shipped a guide on it
    actually — the tooling exists but the wiring is always custom.

    Good luck with the launch 🚀

  6. 1

    The workflow pain is real.

    But $0.99 is the wrong signal.

    For a tool touching catalog quality, SEO, and conversion, ultra-low pricing does not reduce friction.
    It reduces trust.

    Merchants are not buying “cheap automation.”
    They’re buying faster listing throughput without wrecking product pages.

    That’s the actual value.

    Filleo is directionally fine for a placeholder, but if this expands beyond quick listing help into catalog infrastructure, the name will likely get outgrown fast.

    Beryxa.com would position this much better if you push toward serious commerce ops instead of lightweight AI tooling.

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