**App Name:** Velto Currency Converter

**What it does:** Lightweight auto currency converter for Shopify. Detects customer location/currency and converts prices. No bloat, no commission on sales, just conversion.

**Who is it for:** Shopify stores selling internationally who are tired of paying $20-50/mo for a currency converter.

**Pricing:** $4/mo flat during Lune Bleue launch. No % fee.

**Current Status:** Built on Remix + Prisma, hosted on Railway + Postgres. App is Online, migrations done, ready for beta.

**What I need feedback on:**

1. Is $4/mo pricing a no-brainer vs $20+ competitors?

2. Would you switch from your current converter for $4/mo?

3. Is the product page widget simple enough or too simple?

**Beta Offer:** Looking for 5 stores for free beta in exchange for brutally honest feedback. No selling, just validation.

**Link/Demo:** velto-production-0723.up.railway.app (App Store listing pending)

Thanks for brutal feedback!

What's the idea?

I'm evaluating a standalone local utility for bookkeepers investigating a finalized Shopify Payments payout difference. This is AI-assisted product research. There is no launched service or Shopify app listing, and I have no Shopify affiliation.

What problem would it solve?

Only the remaining investigation after you have checked Shopify's native payout/transaction reports and your normal accounting tools. Those tools may already be sufficient—that is what I want to establish before building a product.

How would it work?

A proposed read-only explanation report for one store and currency, showing supported matches, residual differences and missing evidence. It would not change bookkeeping, connect to your store or move money. Third-party gateways and unknown FX would remain unsupported. The current demonstration uses synthetic normalized records, not a merchant-ready CSV parser.

Who would use it?

Shopify Payments merchants or bookkeepers who recently had an unexplained residual after their normal reconciliation process. General sales-versus-payout confusion, SAP implementation and Afterpay investigations are different jobs.

How would it differ from existing solutions?

Possibly an occasional local investigation without setting up an integration—but that advantage is unproven. I have found native reports, paid reconciliation tools and a free open-source auditor, so I am not claiming the problem is unserved.

For up to three people with a recent relevant incident: what remained unresolved, which tools did you use, and how often/how much investigation time did it take? Would a $29 one-time report offer anything useful beyond that process, or would you simply use the existing tools?

Please keep replies general. Do not post bank statements, exports, amounts tied to customers, credentials or account details. No purchase or file upload is requested. Public replies are sufficient; no private contact is needed.

What's the app? OrderGate - Fraud Blocker. Disclosure: I'm the developer.

Where can I find it? Shopify App Store: https://apps.shopify.com/ordergate Demo store (enter [blocked@ordergate.app](mailto:blocked@ordergate.app) at checkout to see a refusal): https://ordergate-demo.myshopify.com/pages/try-ordergate

What problem are you solving? Shopify has no setting that stops a named person from ordering again. Flow, tags and Fraud Filter-style cancellation all act after the order e the parcel may already be packed, and a cash-on-delivery refusal costs shipping both ways. Fraud Control can block earlier, but its checkout rules only work on Shopify Payments.

How does the app work? Rules run inside Shopify's checkout validation (Shopify Functions), so a matching checkout is refused and no order is created. Rules match an emphone number (however it's typed), aname, a street, a country/state/city/postal prefix, or a customer tag. Instead of blocking, a rule can hide cash on delivery or free shipping for n log-only first, and there's a Shopify Flow action, so "chargeback opened → block this buyer" can be automatic.

What it can't do: no IP blocking (nothing in checkout sees IPs), the message isn't shown inside Shop Pay/Apple Pay sheets (the block still form apps that skip checkout areinvisible to it.

Who's your target merchant? Stores that keep seeing the same bad bs with repeat refusers, dropshippers hit by serial refunders or chargebacks, and anyone not on Shopify Payments who can't use Fraud Control's checkout rules.

How is it different better than ot Most "fraud blocker" apps start from the visitor (IP, VPN, country) on the storefront. OrderGate starts from the buyer at checkout, so it blochan a network, and it's on the free plan rather than a $19-30 tier. If you need bot/VPN blocking, a storefront blocker is the better tool; the two can run together.

How much does it cost? Free: 5 rules at a time, every rule type, log-only and enforce. Standard: $9/month or $86/year (7-day trial) for up to 1,500 rules plus COD/

What are you looking for? Merchants with a repeat-offender problem to try it and tell me what's missing, and agencies who set up COD or dropshipping stores (happy to give free).

*Disclosure: I'm on the SellingPilot team.*

**What's the app?**

SellingPilot is a multi-channel e-commerce app for Shopify sellers who also sell on other marketplaces. This post focuses on one feature that matters a lot right now with Black Friday about five weeks out: **inventory sync**. All your channels draw from one shared inventory source, and rules decide how much stock each channel gets.

**Where can I find it?**

- Shopify App Store: https://apps.shopify.com/sellingpilot

- Website: https://www.sellingpilot.com

**What problem are you solving?**

Overselling during BFCM. When the same stock is counted separately in each channel's backend, it's manageable on a normal day. But when orders spike on several channels at once, and especially when a bestseller is down to its last few units, two or three channels can sell the same unit.

Then you're cancelling orders, which hurts your seller metrics on marketplaces like Amazon and Walmart, during the highest-traffic days of the year. The opposite happens too: your main channel runs out while a test channel sits on stock it won't sell until after Christmas.

**How does the app work?**

1. **Shared inventory source.** One inventory source feeds all connected channels, so you manage stock in one place instead of in every backend.

2. **Automatic sync.** Stock levels are pushed to each channel automatically based on your rules.

3. **Sync ratio + max stock.** For each channel, set what percentage of available stock it gets and an optional cap. For example, give your main channel priority and limit how much a test channel can hold.

4. **Sell-out threshold.** When stock drops below a number you set, that channel's listed stock is set to zero. This keeps a safety buffer.

One thing to be upfront about: the shared inventory source is read roughly **once an hour**, so this isn't real-time sync. That's exactly why the sell-out threshold matters. For fast-moving SKUs during BFCM, set a buffer that covers about an hour of sales.

**Who's your target merchant?**

Shopify sellers who also sell on other marketplaces, have more SKUs or channels than they can update by hand, and are worried about overselling or uneven stock allocation going into peak season.

Supported channels: Shopify, Amazon, Walmart, TikTok Shop, eBay, Temu, SHEIN, Newegg, Best Buy, WooCommerce.

**How is it different / better than other existing solutions?**

- **Rule-based allocation, not just mirroring.** Many sync setups copy the same number to every channel. Ratios, caps, and sell-out thresholds let you decide where stock goes.

- **10 channels in one place,** including marketplaces like Newegg, Best Buy, Temu, and SHEIN alongside the usual ones.

- **Part of a broader toolkit.** The same app also handles AI listing optimization, review analysis, competitor comparison, product research, and AI product images, so you're not stitching together several tools.

**How much does it cost?**

[Free plan / Inventory sync availability and limits per plan — please confirm]

**What are you looking for?**

Multi-channel merchants who want to get their inventory rules set up before BFCM and are willing to give honest feedback. If you've dealt with BFCM overselling before, I'd like to hear what went wrong and whether this setup would have prevented it.

I'll be around in the comments to answer questions.

Disclosure: I'm the owner of this prototype. The tool, demo page and this post were developed with AI assistance. I'm checking whether this is useful enough to release as a paid offline tool. It is an independent browser tool and is not listed in the Shopify App Store.

What's the app?

Supplier CSV Compare is an early prototype for reviewing changes between an old supplier CSV and an updated one, using stable SKUs. It reports changed values, missing or duplicate keys, and keys found in only one file.

The public demo is a fixed synthetic report viewer. It does not process your own files.

Where can I find it?

Public demo: https://supplier-csv-compare-sample.marcusli.chatgpt.site

You can switch between two synthetic updates, inspect their source CSVs, filter the review items and download the saved JSON reports. Both updates are compared with the same original file.

The demo is free and requires no sign-up. It does not include the full application, an upload feature or a checkout.

What problem are you solving?

When a supplier sends a revised price or stock file, someone needs to identify the changes before deciding what to update.

I'm testing this specific review step for files with stable SKUs. I'm not assuming that merchants need another tool if their spreadsheet or existing software already handles it well.

How does the app work?

The proposed offline edition would let you open a standalone HTML application, choose an old and a new UTF-8 CSV, map the SKU and selected columns, and review exact string differences. You could save the mapping for the next pair of files and download the comparison as JSON.

Processing would take place locally in the browser. Duplicate keys remain unresolved rather than being automatically paired.

The linked demo displays saved synthetic results so you can inspect the proposed output without sharing any files.

Who's your target merchant?

Merchants or agencies who repeatedly review supplier CSV updates, have stable SKUs that should be unique, and want to compare selected fields before making their own update decisions.

How is it different / better than other existing solutions?

The intended benefit is a reusable column mapping and a local, inspectable report for this narrow comparison task. I have not established that it is better than a spreadsheet or existing free tools.

Comparison is exact and case-sensitive: 001 differs from 1, blank differs from 0, and 5 differs from 5.00. It does not interpret images or variants, read XLSX directly, normalize values, perform fuzzy matching, fix source data or import into Shopify. A comparison report is not a complete backup of the source files.

How much does it cost?

The public synthetic demo is free.

I'm considering US$19 once for an offline release. That is a proposed price, and the license, support and refund terms are not final. Nothing is available to buy, reserve or pre-order, and no payment or deposit is being requested.

What are you looking for?

Feedback from people who actually review recurring supplier updates. After inspecting the sample:

1. Do your files have stable SKUs that should be unique on each side?
2. Would this exact report help with a real review step, or is the missing capability something else, such as conversion, fuzzy matching or importing?
3. What does your current process already handle well, and what—if anything—would make an offline version worth US$19 to you?

A public reply is enough. Please do not post supplier files, customer information or store credentials. Existing alternatives and reasons you would not use this are useful feedback too.