Discord Server Distribution — BuyWhere AI Agent Commerce
Timing: Week 1–2 (April 14–27)
UTM: ?utm_source=discord&utm_medium=community&utm_campaign=discord-m1
Target Discord Servers
AI Developer Communities
-
Langchain Singapore (or Langchain HQ)
- Server: https://discord.gg/langchain
- Channel: #projects, #showcase, or #help
- Approach: Share BuyWhere as a tool for building shopping/catalog agents
-
AutoGPT
- Server: https://discord.gg/autogpt
- Channel: #project-showcase or #integrations
- Approach: "Built a price comparison agent using AutoGPT + BuyWhere API"
-
AI Hackers
- Server: https://discord.gg/ai-hackers (or similar)
- Channel: #showoff or #requests
- Approach: Share as a real-world API integration example
-
MCP (Model Context Protocol) Community
- Server: https://discord.gg/modelcontextprotocol
- Channel: #showcase or #tools
- Approach: Share BuyWhere MCP server as a real-world tool example
-
BuyWhere's Own Discord
- Server: https://discord.gg/buywhere-devs
- Purpose: Developer community for BuyWhere users
-
Local Singapore AI/ML Communities
- Search for: "Singapore AI", "Singapore ML", "SG Developers", "Singapore Tech"
- Approach: Local market angle
Message Templates
Template 1: Project Showcase (for #showcase channels)
Subject/Intro: Sharing a tool I built that might be useful for agents
Hey everyone — wanted to share BuyWhere, a product catalog API I built specifically for AI agents shopping in Singapore.
It solves the problem of getting real product data (prices, availability, affiliate links) into your agent without scraping.
MCP server is live if you use Claude Desktop:
{
"mcpServers": {
"buywhere": {
"command": "python",
"args": ["/path/to/mcp_server.py"],
"env": {"BUYWHERE_API_KEY": "your_key"}
}
}
}
Then ask: "Find the cheapest Nintendo Switch OLED in Singapore"
Docs: buywhere.ai/api-keys GitHub: github.com/buywhere/buywhere-api
Happy to answer questions about the architecture or how it works with agents.
Template 2: Help/Question Response (for #help channels)
If someone asks about building a shopping agent or price comparison:
There's a new API called BuyWhere that might help — it gives you structured product data (prices, merchants, availability) across Singapore e-commerce platforms without needing to scrape.
They have an MCP server so it works directly as a tool in Claude Desktop.
Disclosure: I built it, but genuinely think it could be useful for your use case.
Link: buywhere.ai/api-keys
Template 3: Direct Share (for channels that allow self-promotion)
Hey — I built BuyWhere, a product catalog API for Singapore e-commerce designed for AI agents.
Problem it solves: Getting real prices and product data into shopping agents without maintaining scrapers.
- Covers 52 Singapore merchants
- 1M+ products
- MCP server for Claude/GPT-4 agents
- JSON-LD structured responses
Free beta: buywhere.ai/api-keys
Would love feedback from anyone building agent commerce applications.
UTM Links for Discord
| Destination | UTM URL |
|---|---|
| Main site | buywhere.ai/?utm_source=discord&utm_medium=community&utm_campaign=discord-m1 |
| Developers page | buywhere.ai/api-keys?utm_source=discord&utm_medium=community&utm_campaign=discord-m1 |
| MCP docs | buywhere.ai/api-keys/mcp?utm_source=discord&utm_medium=community&utm_campaign=discord-m1 |
Execution Notes
- Do NOT spam — participate genuinely in communities first
- Engage with replies — respond to questions about BuyWhere
- Follow server rules — each Discord has different self-promo policies
- Don't lead with the link — build context first, share naturally
- Track engagement — note which servers have the best response
Status
- Identify 3-5 active Discord servers
- Join servers and read rules
- Participate in 1-2 conversations before sharing
- Share BuyWhere with appropriate template
- Track which servers generate referral traffic