sellerOS is the public name for the EtsyOS work: a local-first product lab that helps evaluate compliant opportunities, propose original digital and POD products, draft listings, model pricing, plan Printify fulfillment, and keep every live action behind human approval.
sellerOS control plane
Local product lab run
0
unauthorized Etsy scraping jobs
100%
live actions behind human approval
local-first
SQLite, files, reports, and audit logs
draft-only first
mocked, dry-run, then approved execution
Product thesis
sellerOS starts from allowed research inputs: official Etsy education, first-party shop data where API scopes allow it, manual exports from approved tools, public trend calendars, and human-entered observations. It is explicitly not an Etsy scraper or competitor-copying engine.
Every product concept, design brief, listing title, tag set, description, and visual package is treated as original work that must pass IP, prohibited-item, creativity-standard, and production-partner checks before it can move forward.
The system can prepare drafts, previews, pricing math, provider plans, and audit reports, but the operator remains the approval layer before any Etsy, Printify, payment, fulfillment, customer, pricing, publishing, or advertising action happens.
Workflow
sellerOS is built as a sequence of gates. Each gate narrows risk before the next step, and the final gate is still the product team's approval.
sellerOS accepts compliant inputs such as Etsy Seller Handbook trend context, first-party analytics where authorized, manually exported analytics, Google Trends, Pinterest Trends, TikTok Creative Center where permitted, public calendars, and notes entered by a human.
The scoring layer evaluates demand confidence, freshness, seasonality, margin potential, fulfillment risk, originality risk, and product-format fit without collecting competitor listings, shop data, reviews, photos, tags, or pricing through unauthorized automation.
sellerOS proposes digital products, printable assets, templates, POD items, bundles, and personalization options, then blocks ideas tied to protected brands, characters, celebrities, teams, lyrics, quotes, logos, medical claims, unsafe categories, or other IP/policy red flags.
The current architecture prefers mocked responses, dry-run previews, draft-only payloads, and audit logs before live Etsy or Printify writes. Draft creation, uploads, publishing, orders, and fulfillment remain approval-gated.
A human reviewer checks production partner disclosure, design originality, title and tags, description, mockups, pricing, shipping, personalization, files, images, policy risk, and final publish readiness before any live account mutation.
Official Etsy research read into the architecture
Official source
We mapped SellerOS around Etsy's made, designed, handpicked, and sourced categories, with emphasis on original seller-designed products for digital downloads and POD items.
Official source
The system treats accurate maker, shop-member, AI, image, and production-partner disclosure as checklist requirements, not optional copy details.
Official source
Printify and other POD workflows are blocked until the relevant production partner disclosure is correct and manually reviewable in Etsy Shop Manager.
Official source
API work is scoped to Etsy Open API v3 request requirements, HTTPS endpoints, x-api-key headers, OAuth bearer tokens, and endpoint-specific scopes.
Official source
Draft-listing work follows Etsy's createDraftListing path and the documented need for listing images before a listing can be published.
Official source
OAuth 2.0, PKCE, reauthorization when scopes change, and separate read/write scopes shape the integration plan before any live shop connection.
Official source
sellerOS is designed for throttling, caching, retry-after handling, and conservative API use instead of aggressive polling or quota-heavy collection.
Official source
The product is positioned as an independent application, uses minimum necessary data, avoids mimicking Etsy, and does not support unauthorized downloading, copying, or misuse of member content.
Official source
The review layer flags infringement risk, counterfeit or unauthorized goods, prohibited categories, medical claims, hate/violence policy risk, and regulated-product concerns before listing prep continues.
Non-negotiable safeguards
Current build
TypeScript modules, SQLite persistence, Zod schemas, migrations, local reports, and CLI workflows keep the operating system inspectable on the operator's machine before cloud automation enters the picture.
Allowed research imports become normalized keywords, freshness/confidence scores, ranked opportunities, product-format recommendations, and audit-friendly reports.
Concept generation, design briefs, listing-copy proposals, visual package planning, file-readiness checks, and asset-rescan audit records prepare products without touching live listings.
Read-only catalog snapshots, provider ranking, variant economics, placement validation, shipping assumptions, and order-history calibration support POD decisions before any product creation or order action.
OAuth metadata, PKCE helpers, scope checks, createDraftListing previews, image/file follow-up notes, and approval-gated action previews exist before live Etsy requests are allowed.
Approval queues, local dashboard reports, handoff reports, daily digests, job-run reports, and research persistence reports make every next action visible before it becomes operational.
System layers
Independent application notice
Etsy is a trademark of Etsy, Inc. sellerOS is an independent CarbonML product concept and is not endorsed or certified by Etsy. If sellerOS connects through Etsy's API, the application notice, data handling, privacy, scope, and authorization requirements must remain visible and current.
