explaingit

bianen/lychee-os-demo

22VueAudience · pm founderComplexity · 4/5Setup · hard

TLDR

A demo of an internal ERP and workflow system for businesses selling customized products, covering the full chain from a customer's custom request through AI parsing, design, production, and marketplace publishing.

Mindmap

mindmap
  root((LycheeOS))
    What it does
      Manage custom product orders
      AI parse customer requests
      Route work to designers
    Workflow
      Customer request in
      AI extracts requirements
      SKU generation
      Production tracking
      Marketplace publishing
    Tech stack
      Vue frontend
      PostgreSQL
      AWS EC2 and S3
      Cloudflare
      Coolify
    Status
      Demo repo only
      Invite-only access
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Code map

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Things people build with this

USE CASE 1

Manage a multi-store Etsy shop's full operations from custom order intake through design and production to publishing.

USE CASE 2

Use AI to parse customer custom product requests and automatically extract structured product requirements for your team.

USE CASE 3

Track and coordinate custom product workflows across design, production, and multiple selling platforms from one system.

USE CASE 4

Self-host an ERP system using Coolify on AWS EC2 with PostgreSQL and S3 for a personalized product business.

Tech stack

VuePostgreSQLAWS EC2S3CloudflareCoolify

Getting it running

Difficulty · hard Time to first run · 1day+

This is a demo repository with no public installation instructions, access to a running demo is by invitation only for investors, partners, and selected collaborators.

No license information was mentioned in the explanation.

In plain English

LycheeOS is an internally developed ERP and workflow system built for businesses that sell highly customized products, originally created to manage the operations of a personalized product shop on Etsy. ERP stands for enterprise resource planning, which refers to software that tracks and coordinates business operations across departments. Here, it covers the full chain from a customer's custom request through design, production, and marketplace publishing. The workflow described in the README follows a fixed sequence: a customer's custom request comes in, AI parses it to extract structured product requirements, those requirements drive a SKU generation step, the ERP records are updated, the work is routed to designers, a production workflow runs, and the finished item is published to one or more marketplace platforms. The system manages multiple stores and multiple selling platforms simultaneously. The README states the system has been through several months of internal testing and currently supports operations doing seven-figure annual revenue. The infrastructure listed includes Cloudflare, Coolify (a self-hosted deployment tool), AWS EC2, PostgreSQL, and S3 object storage. The frontend is built with Vue. This repository is a demo version of the system. A whitepaper is linked from the README, but architecture and infrastructure documentation pages are listed as still in progress. No public installation instructions are provided, access to a running demo is by invitation only, available for investors, partners, and selected collaborators who contact the team directly. The README is brief and does not describe the AI parsing in technical detail or document the data model.

Copy-paste prompts

Prompt 1
I run a custom product shop on Etsy with multiple stores. Explain how LycheeOS's workflow moves a customer's custom request from intake through AI parsing, SKU generation, and production tracking to marketplace publishing.
Prompt 2
What does the AI parsing step in LycheeOS do with a customer's custom product request? What structured requirements does it extract and how are they used downstream?
Prompt 3
How does LycheeOS manage simultaneous operations across multiple Etsy stores and selling platforms? Explain the multi-store coordination based on the whitepaper.
Prompt 4
What is Coolify and how does LycheeOS use it alongside AWS EC2, PostgreSQL, and S3 for self-hosted deployment?
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