Filleo

Shipping at 17 is impressive, and the wedge ('this thing should take 15 seconds, not 15 minutes') is the right shape. One thing I'd push back on hard: $1.99/month is dangerously underpriced for the value you're describing. If you're saving a merchant 15 minutes per listing and they list 30 products a month, you've returned them 7.5 hours of their time. That's worth $29 to $79 a month easily for a working Shopify merchant. Underpricing this early caps your customer quality, makes review-driven discovery in the App Store harder (cheap apps attract cheap reviewers), and is brutal to raise later. Start at $19 or $29, give a real free trial, and let the merchants who can't justify the price self-select out.

Reducing listing friction is honestly one of the highest leverage things you can do for marketplace/e-commerce growth.

A lot of people focus on traffic first, but if creating inventory is slow or mentally draining, supply growth becomes the bottleneck long before demand does.

The interesting part is that shaving a process from 15 minutes down to seconds doesn’t just save time — it changes whether people consistently list at all.

That’s where compounding starts.

This hits close to home! I remember launching my first Shopify store 2 years ago - the product listing process was honestly one of the most tedious parts. Copy-pasting supplier data, rewriting descriptions, trying to figure out SEO tags... If Filleo existed back then it would have saved me hours. Congrats on the launch, great timing and a real problem you're solving!

I agree with the build-in-public angle. The most useful updates are usually specific: what was tested, what changed, what failed, and what will be improved next.

One question I'd love to understand deeper: how did you handle the data accuracy problem? Supplier sheets and PDFs are notoriously messy — what's your approach to making sure the AI doesn't hallucinate things like wrong HS codes or incorrect pricing? That's usually the gap where apps like this fail, so curious how you tackled it.

First off, massive congratulations on the launch! Building and shipping a Shopify app at 17 that solves a genuine operational bottleneck is incredible. The 'high-frequency listers' segment is definitely the right hook to find early adopters.

Since Filleo processes messy input like supplier sheets and PDFs to automate titles, SEO tags, and even HS codes, I have a quick question on the architecture:

How are you structuring the agentic pipeline to handle variations in supplier PDF layouts without breaking the schema mapping? Also, are you using a vector database to cache frequently looked-up HS codes for specific product categories to reduce LLM latency during bulk/one-by-one listing generation?

Dropped a support upvote on Product Hunt. Rooting for you guys!

Shipping a real product with a live launch and demo already puts you ahead of most people talking about building startups. Respect.

17 and shipping a real product with a live Shopify listing and a demo video. That's not a project — that's a business. Respect.

The insight driving this is solid: 10-20 minutes of manual work on a task people do hundreds of times a month is always a good target. The best SaaS products I've seen aren't built on big ideas, they're built on "why is this still manual?"

One thing I'd watch as you grow: the merchants who list products one-by-one are your early adopters, but the ones who list in bulk are where the revenue ceiling is. Keep an eye on which power users start asking for batch workflows — that's probably your next tier.

Good luck on the PH launch today. Rooting for you.

That’s awesome, love it!

Hi all the best!!! amazing build!

Hello Ehaan, this is dope

Building Filleo at 17 to fix Shopify's slow product listing bottleneck is impressive. Turning messy data into complete listings in seconds sound super useful.

keep shipping would love to try it.

Congratulations! How did you find your first users/data for testing now that people are so swamped with apps?

Impressive initiative at 17! The 15-second product listing is a compelling angle — Shopify merchants deeply feel that copy-paste pain. Curious about your go-to-market: are you targeting merchants directly or going through Shopify agency/developer partners who manage multiple stores? The latter could be a strong multiplier early on since they'd spread it across their whole client roster. What's been the biggest adoption hurdle so far?

Congrats on launch! Upvoted!

its amazing did you planed to get bulk reviews for its shopify account ?

Congrats dude! Having that entrepreneurship at your age is amazing.

Congrats on the launch! It’s actually surprising that this hasn’t become the standard yet, considering we see this same logic working so well in other sectors. In banking, for example, you just put in an invoice number and the system handles the rest of the data entry - it makes total sense to bring that level of automation to Shopify.

Since you're using agentic AI, how does Filleo handle more complex data like technical specs or multi-language supplier sheets?

Amazing work, just checked on Product Hunt and YouTube.

17 and already shipped — that's legitimately impressive. Most people spend years talking about building something.

The insight about copy-pasting product data being a growth killer is sharp. Boring repetitive workflows are always good targets — the pain is real, the user knows exactly what they're losing, and the ROI of fixing it is obvious.

I'm in early days of my first product (a budgeting app, very different space) and the hardest part so far has been just getting something in front of real users. You've already cleared that hurdle. Curious — how did you find your first users to validate the idea before building?

Reddit is perfect for this launch. E-commerce subreddits like r/shopify and r/ecommerce are full of merchants dealing with exactly this problem daily. A genuine post there could get you your first paying users fast.

15 seconds from messy supplier data to a ready listing - nice. distribution is where it gets hard, merchants don't trust what they haven't heard of.

This is sick, good job man

Nice

really interesting story, I am 17 as well trying to launch my first SaaS business, any tips? Would love to here a 17 y/o opinion just like me

nice

Great job man! Shopify is a beast. Congrats on the launch!

You’re doing amazing things at your age! When I was your age, I was still in high school—thank goodness for the AI era. This demand actually popped up before when I had GPT help me look for it. For promotion, you could check with some merchants on product sites or see if there’s an AI that can batch-message them to find out if they’re interested.

👍👍👍

"We're both 17 building for Shopify store owners. I do conversion audits — find exactly where stores leak money between click and checkout. Filleo fixes the listings side. Our clients are identical. Worth connecting?"

I tried it out right now. Just wow! Didn't know the app would be that capable, I'm buying the pro plan. Really made it easy to upload new products in my day to day workflow

The 15-minute Shopify listing grind is real and you picked a wedge that is

already paying. Few questions from someone shipping in a different vertical:

1. How are you handling the source-of-truth problem when the merchant has

listings in 5 places (Shopify, Etsy, Amazon, Instagram shop, TikTok shop)

that all need to stay synced after edits?

2. What is your defensibility once Shopify itself ships their own AI listing

generator? They already have one in beta. The opening might close within

12 months.

3. At your age, the unfair advantage you have is time and zero context

switching cost. Use it. Most adult founders are envious of exactly that.

Keep shipping. The product looks tight

Solving a specific painful workflow is exactly the right

approach. Execution speed matters more than age.

What's been your biggest distribution challenge so far?

17 and building agentic AI? Impressive. 'Killing the grind' is exactly where the value is right now.

One thing I've noticed with these specialized agents is that the 'hidden grind' often moves from the user to the developer. Managing the underlying AI accounts, rotation, and limits to keep the agent running 24/7 is a job in itself. That's why we built AiKey — to automate that backend chaos so we can focus on the actual agent logic.

Are you running this on a single API key, or are you already looking into account pooling to handle scale?

pretty impresive, looks really clean, best of luck with your project

17 and already solving a real operational pain — respect. The 15-second pitch is sharp and the demo does the job.

One thing worth pressure-testing: the $1.99 price point might actually hurt you. Merchants who list at volume have budgets — too cheap signals "experiment" rather than "tool I depend on." Worth testing a higher anchor early while you have the "free access" hook to lower friction.

Biggest moat question: what stops Shopify from building this natively? Your answer to that shapes everything. 👀

The Shopify App Store has its own gravity, that is the channel that will make or break this. Two things matter way more than people outside it realize.

Install-to-paid conversion in the first 14 days will be determined by your onboarding video and your first 5 reviews, not your pricing. A 90-second demo embedded in the app listing is worth more than any third price tier you could split test.

Also, the people who feel listing pain most acutely are not high-frequency listers, they are dropshippers and resellers importing 50 to 500 SKUs at a time from AliExpress, CJ, or Spocket. The 10-minute pain in their world is a 5-hour pain. Your starter tier of 100 generations does not cover one batch import for that ICP. Consider a one-time bulk credit pack ($9.99 for 500 generations) for new store launches. That is an impulse purchase, not a subscription decision.

Building this at 17 is impressive, but the angle gets you attention not retention. Strip it from the marketing once you have 50 paying customers, the product has to stand on its own.

Wow

15 mins per listing adds up fast - 100 products = 25 hours of soul-crushing work. I've seen merchants quit after 50 listings because the grind didn't scale. curious: do you flag low-confidence outputs when supplier data is genuinely terrible?

Really impressive you're building this at 17. The problem you're solving is real—listing creation is a huge time sink for Shopify sellers. My advice: don't try to boil the ocean. Pick one type of "messy data" (scanned spec sheets, CSV exports from suppliers, or handwritten notes) and make Filleo absolutely perfect at handling just that. Nail one use case first, then expand. Good luck.

This is seriously impressive. Focusing on messy real-world supplier data instead of just “AI for the sake of AI.” is a very good product direction! Keep up the good work!

Have u tried yearly plan? can u share some stats on subscription choices?

Cool

Honestly, the messy supplier-data problem is very real — especially for stores importing lots of products from different vendors. Cleaning titles, descriptions, tags, and formatting manually is one of those repetitive tasks that eats a surprising amount of time.

The $1.99 entry point feels reasonable for getting people to test it, especially if the output quality is strong and saves real editing time. I think the biggest factor will be how well it handles inconsistent or low-quality source data in real-world cases.

Also impressive project to be building at 17 🚀

Honestly, the messy supplier-data problem is very real especially for stores importing lots of products from different vendors. Cleaning titles, descriptions, tags, and formatting manually is one of those repetitive tasks that eats a surprising amount of time.

The $1.99 entry point feels reasonable for getting people to test it, especially if the output quality is strong and saves real editing time. I think the biggest factor will be how well it handles inconsistent or low-quality source data in real-world cases.

Also impressive project to be building at 17

Great work buddy, keep the hustle

This is actually a really cool idea — the Shopify listing pain is way more real than people think, especially when you’re scaling catalogs manually.

What I like here is how practical it is. Taking messy supplier data and turning it into a clean, publish-ready listing is exactly the kind of repetitive work merchants don’t want to think about.

At this stage, I wouldn’t worry about pricing yet. I’d just try to answer one simple question:
👉 does this reliably save time without messing up the listing quality?

If yes, everything else gets easier later.

Also, building something like this at 17 is impressive — but the real test will be getting a few people to actually use it more than once, not just try it out.

Curious how it handles messy or incomplete supplier data in practice 👀

Impressive for 17. How do you handle edge cases in the ad generation? Real‑world testing must be tough.

This is actually a very real pain point.

Most people underestimate how much time product listing takes until they start doing it daily. 10–20 minutes per product sounds small, but at scale it's huge.

$1.99 feels like an easy yes if the output quality is consistent.

good i like it

Smart move targeting high-frequency listers first. That's the group where the time savings compound fastest, and they're the ones who'll actually feel the pain enough to pay.

One thing worth thinking about early: the quality gap between what your AI generates and what a merchant would write manually. For commodity products the bar is low so automation wins easily. But for branded or premium products, merchants get really particular about tone and description style. Might be worth letting users set a "brand voice" template so the output doesn't feel generic.

At $1.99 you're basically removing price as a decision factor which is great for early traction. Just make sure you're tracking which features drive retention vs which drive signups, they're usually different things.

Really impressive for a first build. The fact that you went straight to a real workflow problem instead of building something cool but useless puts you ahead of most builders I've seen, regardless of age.

Same here after the May 2026 update. App feels slower and the HD badge is gone on my speakers too, despite having a stable high-speed connection. Definitely seems update-related.

Impressive work getting this shipped, especially at 17. To answer your pricing question directly: $1.95 is probably too cheap.

If a Shopify merchant is truly wasting hours manually copying supplier data, they will happily pay $19 or $29 a month to make that bottleneck disappear. B2B buyers generally do not shop for bargains; they shop to reclaim their time.

I am seeing this exact dynamic while handling the B2B sales side for ChefPASS (a hospitality marketplace I recently took live natively on iOS and Android). The supply side was straightforward—I onboarded 30 chefs quickly. However, selling to the venues taught me that if you solve a genuine operational headache, you should confidently charge what the solution is actually worth.

Position Filleo as a premium time-saver, not a discount utility. You have built a solid foundation here, keep pushing.

Really liked the direction behind this. A lot of founders focus only on adding more features, but products usually become valuable when they remove friction and make a repetitive task feel effortless.

What stood out most was the emphasis on solving a very specific workflow instead of trying to appeal to everyone. That kind of clarity in positioning is underrated and often becomes the biggest growth advantage for small products.

Also a great reminder that successful SaaS products don’t always need massive complexity — sometimes they just need to save users a few minutes consistently every single day. Those small wins compound fast .

Hey, fellow 17yo dev here. Filleo looks sharp.

How are you handling cases where the AI generates a product spec that's technically valid but commercially terrible? Building a multi-asset crypto bot and that "looks right, isn't" failure mode is the hardest part for me.

If you ever want to compare notes on building, my X is: @biglad8963

The "no new features until 5 paying users" rule is the right constraint. Most founders break it within a week. Curious, the 56 waitlist signups, are they coming from IH posts or are you reaching Shopify merchant communities directly? Because the pain point is real but the audience here is mostly builders, not the merchants who actually feel the 20-minute listing grind every day.

17 and already in pre-launch with 56 signups — respect.

The "15 seconds vs 20 minutes" framing is strong, that's the kind of before/after that sells itself. Curious how it handles supplier sheets that are completely inconsistent in structure — that's usually where automation breaks down.

Amazes me to see such young minds do great things. Joined the waitlist bro!

Great tool! As someone building AI agents for polling (poll-sim.com), I appreciate how you're tackling manual data entry. Have you considered adding multi-language support for international merchants?

Really good work man!

The high-frequency lister wedge is the right angle. Merchants who add 50+ products a week feel that 10 to 20 minute pain in their bones and tend to pay without flinching. Push back on the $0.99 promo though, lifetime promotional pricing usually attracts users who never convert to full pricing and you'll be supporting them forever. A free trial that converts to $7.99 filters way better. The Shopify App Store is the real distribution play here, not a waitlist, you'll get qualified merchants faster than any growth tactic. Building this at 17 is impressive.

curious what happens when it processes a messy sheet, marks the task done, but the output is half-empty. silent failure - the agent succeeded at producing nothing. how do you catch that before it hits the store?

Great work! As a builder myself just now, I am curious about pricing also. Yours seems very fair & should feel reasonable for people to pay for it. Good luck

Hey looks like a great app but I think it'd be nice if users can just one-click import their supplier listings as a lot of them are actually dropshipping from Aliexpress or other platforms so it's a pain for them to manually copy everything especially if they're looking to do it in a bulk.

Compiling 50 working DMs is a goldmine. Curious, did the ones that worked share a sweet-spot length, or were they all over the map?

at 17 this is impressive, congrats and good luck, building is fun, marketing is the work XD

This actually hits a very real pain point. Product listing is one of those “small but constant” tasks that kills momentum. $7 pricing feels reasonable if the output quality is solid. Biggest question for me would be: how accurate is it with messy supplier data?

That's cool

Genius keep going bro

17 year and make this with the help of AI you are fire. i have many questions..

17 and already obsessed with operational bottlenecks — that's a rare starting point. Most people that age are building another social app, The 10–20-minute manual listing problem is real, and nobody talks about it. Shopify makes opening a store easy, but the daily operations are still surprisingly manual.

On the $7 pricing question — yes, easily. Anyone listing products daily would pay that back in 30 minutes of time saved. The harder sell is getting them to trust AI on live store data. How are you handling errors when the output isn't quite right?

the messy-data → clean-listing pipeline is the right wedge imo. the part i'd push you on is the demo: 15 seconds is the headline number, but the question merchants will actually ask is "how often does it get the listing right enough that i don't have to fix it?" because if they have to QA every output, you're not saving 15 min, you're saving like 4. would be curious if you have early data on that — even from your own testing on supplier sheets you've fed it.

also a small thing: your $0.99 lifetime offer for first 100 might attract the wrong users. people who pay $0.99 don't behave like people who pay $24.99 — they often churn faster, complain more, and don't refer. you might end up with 100 people who never actually use the product. low pricing for early access is fine, but i'd consider $5-10 instead of $0.99 to filter for real intent.

This is actually a solid use case—AI is at its best when it removes repetitive, time-consuming tasks like this.

Listing products manually is one of those things people just tolerate, even though it slows everything down. Turning a 10–15 minute task into seconds is a pretty clear value prop, especially for high-frequency sellers.

The key will be how well it handles messy, inconsistent data in real scenarios—but if that works reliably, this is definitely something people would pay for.

This is actually a real pain point. Most people underestimate how much time gets wasted in repetitive listing tasks, especially on Shopify.

The idea of turning messy data into ready-to-publish listings is interesting, especially if it handles structure and SEO properly. That’s usually where things break.

One thing I’d be curious about is how consistent the output quality is across different types of products. If that part works well, this could save a lot of manual effort for growing stores.

Good morning, The new world of AI will continue to leave us speechless and overwhelmed with the sheer number of tools now at our fingertips. Despite the enormous market, not everyone will be lucky enough to have a healthy and recommendable journey, and that's the big problem I'd like to see someone solve... Of course, with the help of the inevitable AI, WHO ELSE??? Best of luck on the journey ahead...

Wow! Literally the thing I was wondering about a few days ago. Entering products manually sucks in daily business workflow. I signed up for the waitlist. Thanks for the premium access for that cheap to me!

Just brilliant.

This is a brilliant idea, u have to keep pushing until everyone knows about it

This pain is real. I’ve dealt with Shopify listings from supplier data, and the hard part is not just writing descriptions - it’s turning messy specs, variants, images, and notes into something that actually feels publish-ready.

Also really like the “no new features until 5 paying users” rule. Distribution and trust are probably the real test here.

"No new features until 5 paying users" — this is the hardest rule to follow and the most important one. I built a launch marketing tool for 4 months, shipped everything "perfectly," got 2 upvotes on Product Hunt and zero conversions. Then I stripped it down to a bare landing page + Stripe checkout and got more traction in 2 days than in 4 months.

Your approach of talking to real users before scaling is exactly right. The 32 waitlist people who actually know the pain > 1000 random signups.

Curious — are the people on your waitlist mostly solo Shopify sellers or agencies managing multiple stores? Feels like the use case could be very different.

Just shipped my own launch yesterday and the day 1 numbers were similar. The data point that actually matters is the 14 day trial to paid window, not the launch day metrics. I think we both have to wait it out.

Love the honesty here this is how real building looks before the hype. Focusing on conversations and validation over features is a smart move.

Curious to see how your Product Hunt launch goes—good luck 🚀

32 in a waitlist is a vanity number that I'd ignore. The real metric pre-launch is how many of those 32 you've had a 20-minute call with. Last project I shipped, the waitlist was 412. I called the first 60. Twelve answered, four bought, two became my first paying customers within 30 days of launch. The other 408 evaporated on launch day. PH is good for a noise spike, but the contracts close in DMs the week after the spike fades.

oh man same boat. ~1 week out for my PH launch too (ios+android health-tech, zero customers).

stuff that's been working: blog post about why i built it (the personal story). actually drives traffic from google + gives me something to send to people who ask "what is it again?".

stuff that's not: group chat asking friends for reviews. like 5% conversion lol. 1:1 + a phone call works way better.

also DMd chris messina on twitter for hunting. 5 days nothing. so going self-hunt.

how are you thinking about hunter vs self-hunt? and momentum during the day — feels like the asia evening / US morning thing is gonna kill me.

Love the honesty here 👏
Are you focusing more on distribution now or still improving the product before launch?

Hey Ehaan, it’s so refreshing to see someone being so transparent and focused on real relationships over the usual growth hacks. Your method of showing up where the right people are and genuinely listening to their pain points is spot on. I’m also in the "build in public" camp and have found that feedback from early users is so much more valuable than adding extra features that no one asked for. Keep up the great work, can’t wait to see how Filleo evolves from here! Best of luck on launch day . Looking forward to seeing your first 5 paying users roll in.

I also am on in this approach, I want to hear from people before I get too deep into the work so that i don't risk as hard the resources and time for my potentially unsuccessful product in the near future that no one would want.

The "no new features until 5 paying users" rule is one of the hardest disciplines to maintain but probably the most important one at this stage. I've watched so many founders (and helped some clients) spend months adding features that nobody asked for while ignoring the distribution problem sitting right in front of them.

The direct conversation approach is smart. 32 waitlist signups from actual conversations means you know exactly who those people are, what they need, and whether they'll actually pay. That's worth more than 500 anonymous signups from a landing page with a clever headline. When launch day comes, those 32 people might be the difference between a dead page and early momentum.

One thing I'd think about for the PH launch specifically: the Shopify ecosystem has a ton of makers who are active on Product Hunt. They understand the pain of listing products because they do it themselves. If you can get even 5-10 of those people to show up in the first hour and leave detailed comments about how they'd use it, that social proof does more work than 50 generic upvotes from people outside your niche.

The 17 and building thing is going to work in your favor on PH too. The community loves young builders who ship real products. Not in a patronizing way, but because it signals that the person is going to keep iterating. Investors and early adopters both care about founder energy, and shipping at your age signals a lot of it.

the part about building relationships before launch day is the move most people skip and then wonder why their PH page sits at 30 upvotes. you're already doing the actually-hard work — the launch itself is just the public moment.

one thing I'd add: the people you're talking to now don't just become day-1 supporters, they become your warm intro layer for the next 6 months. someone you DM'd this week ends up in a slack with 200 shopify founders next month and you're the tool they mention when someone asks. compounds way more than the launch metrics ever will.

that 0.99$ premium grandfather is a smart move btw — turns waitlist signups into actual skin-in-the-game testers who'll show up on launch day.

This resonates a lot — also launching on

Product Hunt soon for FollowShop 🇵🇭

The zero-customers-before-launch struggle

is real. Following your journey! 🚀

We’re doing something similar a platform built for creators across art, music, photography, filmmaking, dance, writing, illustration, spoken word, fitness, culinary, and AI art — under one roof. Ive been talking about it too, hoping to build the momentum before all the features are ready to onboard users!

Really respect how honest this is , '0 customers, 0 revenue, 32 waitlist.' Most people fake the hype. You're just sharing the real grind. That alone makes me root for you.

Quick question about the waitlist, I'm in a similar boat (18, building Bexra, a personalized business guidance that help business find, build & grow). Zero following. No budget.

How did you get those first 32 people without any existing audience? Was it purely from posting here on Indie Hackers? Or did you go into Shopify groups, Reddit, DMs?

And when someone joined the waitlist, did you do anything manual , like email them personally, ask for feedback, or just let the tool handle it?

Not looking for a growth hack. Just genuinely trying to understand the 'first 30 people' playbook when you're starting from absolute zero.

Appreciate you sharing this. Makes the pre-launch phase feel less lonely

The "no new features until 5 paying users" rule is underrated. Most builders keep adding because shipping feels productive. Freezing the product and just focusing on distribution + trust takes real discipline, The 10-20 minutes per listing pain point is clearly real

— that's the kind of repetitive work people will pay to eliminate immediately, Curious how you're approaching trust with Shopify sellers specifically — do they worry about AI getting product

details wrong on live listings?

Respect the approach - especially launching with zero customers and still pushing forward.

I'm actually in the opposite situation. I finished building a desktop tool about a month age, but I've been stuck on distribution ever since.

No ads, no audience, and honestly not even sure where to start getting the first real users.

Your point about talking directly to people instead of "promoting" really hits - I think that's where I'm lacking right now.

Curious - how did you find your first few conversations ? Was it mostly communities, or direct outreach?

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the "no new features until 5 paying users" rule is the one a lot of founders get wrong. i'm in pre-launch on a tool too and i had to actively stop myself from adding stuff every week — felt productive, was actually procrastination. the boring move (talk to users, fix friction, ship the same thing better) is what the founders who win seem to do. easier said than executed though.

one thing i'd push on tho: 7 days might be tight for "genuine relationships." the people who'll actually show up day 1 are usually the ones you've been talking to for 4-6 weeks, not 1. if you can extend the window even a little, the launch lands different. that's me speaking from watching others do it, not from having done it myself yet.

The "no new features until 5 paying users" rule is underrated advice. I made the opposite mistake — kept building for 3 months before talking to anyone.

Building in public before launch is smart. The 32 waitlist people who found you before you even launched are more valuable than 1000 visitors after — they actually care enough to wait.

One thing that helped me: instead of asking "is this useful?" I started asking "would you pay for this today?" The answers were very different.

Good luck with the 7 days — following to see how it goes.

32 people in waitlist is really positive sign!! Love the honesty here this is how real building looks before the hype. Also getting error when i tried to use the waitlist link. Wanted to see the UI/UX Design and Interaction

Curious to see how your Product Hunt launch goes—good luck :)

The direct-outreach-first approach is the right call — especially for a tool in the Shopify ecosystem where the pain is real but the buyer is skeptical of automation. One thing to instrument before launch day: track exactly which community/channel each waitlist signup came from. Even with 32 people, that cohort data tells you which ICP is most pain-aware. If most came from one specific Shopify Facebook group or subreddit, double down there on launch day rather than spreading across PH, IH, and Twitter simultaneously. 10–20 mins per listing is a strong pain anchor — have you found any pattern in which types of products take longest (high-spec tech vs. apparel vs. general merchandise)?

Pretty good tips for early founder about launching tactics, most of people just try to sell thier product but few understand the core compostion of solving problems

Launching with zero customers is honestly more common than people admit.

Are you planning to bring your own traffic on launch day, or relying on Product Hunt discovery?

From what I’ve seen, PH works more as an amplifier than a discovery engine — so curious how you're approaching distribution here.

Love this approach — especially the “no new features until first paying users” rule. That’s harder than it sounds.

I’ve been noticing the same thing — direct conversations seem way more valuable early on than trying to scale anything.

Curious how you’re finding those initial people to talk to — mostly communities, or outreach?

Everyone's praising the 'no new features' rule — I'll say something different.

The $0.99 first 100 users offer is going to hurt you. Not because it's wrong, but because Shopify sellers who spend 10-20 minutes per listing are not price-sensitive — they're time-sensitive. $0.99 signals 'side project' not 'tool I can rely on.' Your first 5 paying users should pay real money, even if it's $9. The ones who pay $0.99 will churn the moment they hit any friction.

The honest build approach you're taking is rare and worth protecting. Don't undercut it with pricing that doesn't match the value.

the line about wanting people to know your name when you post 'we're live' is the part most launch playbooks skip. relationships > waitlist counts at zero customers. cheering you on.

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This is truly inspirational, thanks for sharing!

Best wishes for you.

"This resonates a lot — especially the 'no new features until 5 paying users' rule. That's the discipline most founders skip. I'm in a similar spot right now, validating a client vetting tool for freelancers (think Glassdoor but for clients). Zero users, just started talking to people this week. The part about showing up where your users already talk without pushing the product — that's exactly what I'm trying to figure out. What's been the most honest signal so far that the pain is real beyond people saying 'yeah that sounds useful'?"

In my opinion PH is full of bots. Without funding, I feel its near impossible to get growth on there.

The "no new features until 5 paying users" rule is the most honest thing I've read this week.

I'm in a similar spot with EmotifyAI — a Chrome extension that turns dry product descriptions into emotional copy that converts. Different problem, same distribution challenge.

What's working for me: going directly to store owners, showing them a before/after of their own product. Not a demo. Their product. That personal touch changes the conversation completely.

Good luck with the launch — following to see how it goes.

Good timing — I'm launching on ProductHunt today, not in 7 days.

Your approach of showing up where the community already exists resonates.

I did the same with r/selfhosted for my iOS file manager CoreFiles —

talking to people who already have the problem the app solves works much

better than cold outreach.

Good luck with the launch!

Interesting product especially for Shopify sellers. Out of curiosity, what’s your main acquisition channel right now? SEO, ads or organic content?

17 and already thinking in agentic workflows — respect.

One suggestion: "15-second task" is the real hook, lead with that even harder. The $0.99 early access is smart urgency but 47/100 spots — consider showing a live counter on the landing page, converts better.

Answered your question: most manual task AI hasn't solved well yet? Cloud cost anomaly detection that understands context — not just thresholds. Still mostly manual for me.

the 10-20 min copy-paste tax is one of those small repetitive bottlenecks that's perfect agent-bait. one ask: what's your retry/recovery story when a listing fails halfway through? that's where these agents earn their keep at boutique scale. 17 and shipping > a lot of us at 30+, keep going.

the 10-20 min copy-paste tax is one of those small repetitive bottlenecks that's perfect agent-bait. one ask: what's your retry/recovery story when a listing fails halfway through? that's where these agents earn their keep at boutique scale. 17 and shipping > a lot of us at 30+, keep going.

Great idea! Best of luck!

Crazy

This is actually really impressive, especially at 17 👀
How did you build the AI part – did you use existing APIs or train something yourself?

17 is crazy.

But success will depend less on “agentic AI” and more on reliability, edge-case handling, and seamless Shopify workflow integration.

Love the 'multi-cycle' approach you mentioned. Cleaning the data first, then feeding it back in for generation is exactly how you handle the messy edge cases that trip up single-pass agents. That retry logic is where the real value lies for high-frequency listers. How are you handling the context window limits if a supplier sheet has hundreds of SKUs?

Good stuff man, love to see a fellow 17 year old like me trying to achieve.

Cool idea! What's been your biggest challenge getting

the first users?

This is a sharp problem to tackle — messy supplier data is exactly where most “AI listing tools” fall apart.

How stable is Filleo when the input formats vary wildly between vendors?

curious what the agent's instruction set looks like once you're handling 100+ product types. the reusable instructions - 'what counts as a good listing' - are where these break down. everyone's thinking about the AI model, nobody's thinking about the instruction set.

Respect for building and shipping this early.

One thing I’m curious about — was the idea driven more by a real workflow problem you faced, or by exploring what’s possible with AI agents?

I’ve noticed a lot of AI tools struggle not with capability, but with fitting into actual user workflows. How are you thinking about that part?

This is a solid problem to go after — that “10–20 min per product” grind is real.

What I find interesting is that even when tools exist, people still stick to manual workflows because of trust and edge cases in the data.

Curious — how accurate is it right now with messy inputs? Like, do users still need to heavily review/edit before publishing?

Hey, same here — I actually built an AI tool myself when I was 18. It’s a highly personalized outbound email tool that consistently lands in the primary inbox. I’m offering a free trial right now, so if you’re interested, just let me know and I’ll unlock it for you with no time limit.

The "high-frequency listers" focus is smart. Trying to serve every Shopify merchant is a trap — the person adding 50 products/week feels this pain 10x more than someone adding 2/month.

One thing I'd watch: the $0.99 early bird might get you waitlist signups but could anchor your price so low that upgrading to $7.99+ feels like a 8x jump. Have you thought about offering the first 3 listings free instead? That way people experience the value without you training them to expect $0.99 forever.

Re: "would I buy it" — I'm not a Shopify seller, but I built something similar for launch marketing (turning raw product info into press pages + social copy). The pattern is the same: people will pay to skip repetitive formatting work. The 30s demo sells it better than any copy could.

What's your conversion rate from waitlist signup to actually trying the demo?

This is a really strong problem to go after—anyone who’s touched Shopify knows how painful listing products can get at scale.

I’m curious about one thing though: how well does it handle inconsistent supplier data? Like when different vendors format things completely differently or leave gaps—does your AI standardize that reliably or does it still need manual cleanup?

Also, the $0.99 early access is smart for traction, but I wonder if positioning it around “time saved per 100 listings” might convert even better—because the value here feels very ROI-driven.

I’m working on something in AI for fashion visuals, and messy input data has been one of the hardest parts—so this definitely resonates.

"Really interesting approach. The manual listing problem is real — I've seen it firsthand with small Shopify stores. Curious how you're handling the edge cases where supplier data is completely unstructured, like handwritten notes or weird Excel formats. Also validating my own idea right now (client vetting tool for freelancers) so I know how valuable early feedback is — good luck with the waitlist!"

best of luck!

Goodluck!

Great job. This is the realistic approach.

Great job at 17ysd. My concern is why shpify did not enable this feature. What’s the moat here? Maybe customers are not that happy with ai features or the products updating frequency is not that high?

I saw how Filleo cuts the Shopify listing grind down to 15 seconds—that's a brilliant niche to tackle at 17. Since you're in the pre-launch phase with growing traction, would you be interested in discussing how to scale the distribution of your product to reach even more high-frequency merchants?

$0.99 doesn't make it look cheap it makes it look like you don't trust the value yet. If it saves 10 hours/week, charge like it. Even $9/mo would be a no-brainer for a Shopify merchant doing 50+ listings. The risk with $0.99 isn't low revenue it's that your early users won't take it seriously enough to give you real feedback. People who pay $0 or $1 churn silently. People who pay $9+ tell you exactly what's broken. I'd test a higher price on a smaller group before locking in the low anchor.

The problem definitely resonates — that repetitive listing work adds up fast.

One thing I’ve noticed with similar tools is that accuracy and edge cases matter a lot more than speed. Even small mistakes can break trust quickly.

Curious how it performs with really messy or inconsistent supplier data — is it “publish-ready” or more like a strong draft that still needs review?

Agentic AI for hyper-specific workflows like this is exactly where the value is right now. I've been deep in the same space building AI agents for niche business automation and the pattern I keep seeing is: the more narrow the use case, the better the product-market fit. Shopify listing automation is a perfect example — it's a repeatable high-friction task that merchants deal with daily.

One thing I'd flag from my own testing: make sure the data extraction handles edge cases well. Product descriptions with weird formatting, variant combinations, and images from different sources are where most automation tools fall apart in practice. Would be curious how you're handling those.

Agentic AI for hyper-specific workflows like this is exactly where the value is right now. I've been deep in the same space building AI agents for niche business automation and the pattern I keep seeing is: the more narrow the use case, the better the product-market fit. Shopify listing automation is a perfect example — it's a repeatable high-friction task that merchants deal with daily.

One thing I'd flag from my own testing: make sure the data extraction handles edge cases well. Product descriptions with weird formatting, variant combinations, and images from different sources are where most automation tools fall apart in practice. Would be curious how you're handling those.

круто

That youtube link is broken btw.

GOOD idea bro , keep going

Interesting approach. I’m currently building something for workshops and I noticed a similar issue around visibility and operational tracking. I think the hardest part is not building the tool, but getting real adoption from offline businesses.

Love this the 10-20 min listing grind is painfully real Would definitely try the $0.99 early access

One thing in your demo maybe show the messy before data more clearly Most people will just need to see oh thats MY problem for 5 seconds to get hooked

The Shopify merchant pain point is massive Rooting for you

This is a strong direction, but the real value isn’t just saving 15 minutes per listing. The deeper problem is the mess behind product data itself—supplier sheets are inconsistent, formatting is manual, and merchants lose energy trying to maintain quality while scaling. What you’re really building is closer to a product data standardization layer than just a listing tool.

Where this gets interesting is if it goes beyond generation and starts improving outcomes. Imagine it learning what kinds of titles convert better in a category, or adapting descriptions based on performance, or even cleaning and structuring supplier data into something truly publish-ready without human correction. That’s where it shifts from “AI that writes listings” to a system that understands e-commerce inputs and outputs.

The pricing experiment is bold, but be careful with signal quality. Ultra-low pricing often attracts curious users rather than serious high-frequency sellers. You might get better insight from usage-based pricing or a free trial that only converts once real value is felt through repeated use.

Right now the framing is “faster listings,” but a stronger positioning is “removing the bottleneck in scaling product catalogs.” That subtle shift moves it from a productivity tool into infrastructure for e-commerce operations.

The key question going forward is whether you’re optimizing for speed of listing, or for the performance and scalability of the products being listed. That choice will define how far this can go.

The "AI Auto-fill" pattern resonates strongly — I've shipped a similar internal tool for a different domain (video reference cataloging), and the same dynamic shows up: the human + AI loop is dramatically faster than either alone, but only when the AI prompt is dynamic to the current taxonomy state, not a frozen static prompt.

One thing that took me embarrassingly long to figure out: parse the AI's JSON output INCLUDING markdown code blocks. Models keep wrapping JSON in fenced blocks even when you tell them not to, and brittle parsers break. Had to add a tolerant extractor that strips fences before JSON.parse — saved us a bunch of "regenerate, please" cycles.

Curious how you handle the moderation step on the Shopify side. We have admins reviewing AI-filled records before they go live, and the failure mode I see most: AI confidently fills a field with a wrong-but-plausible value (e.g., wrong product category) that admin clicks through without re-checking because everything else is right. Have you seen that on the listing-fill side? Any UI pattern you found that flags "AI was unsure here"?

Either way — built like an actual product, not a demo. 17 and shipping like that is impressive.

curious what happens after PH day 1. most indie tools get the spike then silence - zero existing users means no baseline for who sticks and who just clicked out of curiosity.

This hits.

I’m building small utility apps and I see the same pattern:

people don’t quit because the task is hard,

they quit because it’s repetitive.

15 min tasks repeated 100 times = no growth.

Your angle makes sense.

Curious:

Are your early users actually using it daily,

or just trying it once?

Retention here will decide everything.

$0.99 specifically signals "I'm not sure this is worth more", even if you don't mean it that way.

The psychology: buyers don't anchor on what they paid. They anchor on what you charged them to decide.

$0.99 says the decision was trivial. $9 says the problem is real.

Same friction to sign up. Very different signal about what you believe the tool is worth.

$0.99 might be too low for the buyer profile you actually want. Someone running a serious Shopify shop with 100+ monthly listings would pay $30-50/month for this without thinking. The "$0.99 first 100" framing also makes it harder to raise prices later, those buyers anchor at the cheap rate.

If the goal is launch traction, founding members at 50% off forever is a stronger mechanic than $0.99. Same urgency, doesn't kill your future pricing.

Also pre-launch and figuring out similar tradeoffs. Curious what made you land on $0.99 specifically vs say $5 or $10.

Nice, how did you get started?

Nice problem to tackle — this is real pain.

$0.99 will get signups, but also low-intent users. You might learn more from fewer people paying $5–10 and actually using it daily.

Also curious: how consistent is the output across messy inputs? That’s probably the make-or-break here.

i would buy it bro

Wow loved the idea. Great to see young entrepreneurs like you change the world like that! Signed up to support ya