BuyWhere
← Back to documentation

product-hunt-launch-plan-2026-04-16

BuyWhere Product Hunt Launch Plan

Date: 2026-04-16 Owner: Reach Issue: BUY-2091

Launch recommendation

Launch BuyWhere as a self-hunted maker launch, not a hunter-led launch.

Reason:

  • Product Hunt explicitly says makers should usually post their own product and there is no clear ranking advantage from a third-party hunter.
  • Company accounts cannot post, vote, or comment. The launch should come from a real maker profile with a real name, profile photo, and personal bio.
  • The launch should only happen once users can try the product directly. Product Hunt says products that are only an email signup are not homepage eligible.

Recommended launch window:

  • Target a Tuesday or Wednesday when the team can sustain live responses for the full day.
  • Schedule the post for 12:01 AM Pacific Time.
  • Build the draft launch page at least 7 days earlier so makers can review assets and copy.

Positioning

Primary angle

BuyWhere is the agent-native product catalog API for AI shopping agents.

Who it is for

  • AI agent builders who need structured product data instead of scraping retailers one by one
  • Developers building shopping copilots, commerce agents, deal bots, and MCP-integrated assistants
  • Merchants and partners that want their catalogs legible to AI agents

Why now

  • MCP, agent workflows, and AI-assisted shopping are all accelerating
  • Most commerce data is still fragmented across retailer sites and marketplace listings
  • BuyWhere gives agents a cleaner interface: search, compare, retrieve prices, and route to affiliate links through one API

Product Hunt page draft

Product name

BuyWhere

Tagline options

  1. Agent-native product catalog API for AI shopping
  2. Search and compare Southeast Asia products through one API
  3. MCP-ready commerce catalog for shopping agents

Recommended tagline:

  • Agent-native product catalog API for AI shopping

Short description

BuyWhere gives AI agents one API to search, compare, and retrieve product data across Southeast Asia e-commerce. Use HTTP or MCP to power shopping assistants, price monitors, deal bots, and agent workflows without custom scraper glue.

Topics

Use only the strongest relevant topics:

  • Developer Tools
  • Artificial Intelligence
  • APIs

Promo

Recommended PH promo:

  • Free developer key for Product Hunt users
  • Bonus: higher launch-week rate limit or a sample MCP starter pack

Suggested promo copy:

  • Product Hunt launch perk: free developer API key plus launch-week expanded rate limits for anyone building an AI shopping agent with BuyWhere.

First comment draft

Hey Product Hunt, I am one of the makers behind BuyWhere.

We built BuyWhere because AI shopping agents still have a catalog problem. If you want an agent to help a user find the best product, compare prices, or route to checkout, you usually end up stitching together fragile retailer scraping, inconsistent schemas, and one-off integrations.

BuyWhere gives agents a cleaner commerce layer:

  • Search products across Southeast Asia through one API
  • Compare prices and retrieve structured product details
  • Access the catalog through HTTP or MCP
  • Use affiliate links and examples to move from discovery to action

What is live today:

  • API docs and OpenAPI spec
  • MCP endpoint for agent clients
  • Search, compare, pricing, and affiliate flows
  • Example bots and agent integrations

What we want feedback on:

  • Which agent use case is most urgent for you: shopping assistant, price monitor, deal alerts, or merchant-side catalog distribution?
  • Which integrations would make this instantly useful in your stack?

If you build with agents, APIs, or commerce tooling, I would love to hear what would make BuyWhere most useful for you.

Screenshots and gallery plan

The gallery should tell one story: intent to product discovery to action.

  1. Hero screenshot

    • Show BuyWhere search results for a real shopping query
    • Emphasize normalized listings, prices, merchant/source labels, and comparison-ready structure
    • Caption: "Search products across Southeast Asia with one API"

  2. Agent-native API screenshot

    • Show the OpenAPI docs or a clean API response for search
    • Highlight structured fields an agent needs: title, price, currency, merchant, category, link
    • Caption: "Structured product data for agent workflows"

  3. MCP screenshot

    • Show the MCP integration guide and a client config snippet
    • Caption: "Connect shopping agents through MCP"

  4. Compare and pricing screenshot

    • Show compare output or multi-merchant price view
    • Caption: "Compare prices without building retailer-specific glue"

  5. Example app screenshot

    • Show one of the working examples: Discord bot, WhatsApp bot, Telegram bot, or Streamlit explorer
    • Caption: "Ship shopping assistants and bots faster"

  6. Developer experience screenshot

    • Show docs plus llms.txt or the agent capability page
    • Caption: "Built for both developers and AI agents"

Video outline

Target: 45 to 60 seconds, no narration required, captions on screen.

Sequence:

  1. Start with the problem
    • On-screen text: "Building AI shopping agents still means messy catalog integration"
  2. Show a raw fragmented world
    • Brief visual of multiple retailer tabs or heterogeneous sources
  3. Show BuyWhere search
    • Query a product and return normalized results
  4. Show compare
    • Compare 2 to 3 products or merchants
  5. Show MCP or API call
    • Display a short tool call or config example
  6. Show a bot experience
    • Example of a chat-based shopping or deal workflow
  7. End with CTA
    • "Build agent-native commerce on top of BuyWhere"

Asset checklist

Before scheduling the launch:

  • Personal maker account is ready and not company-branded
  • Product logo uploaded
  • Tagline finalized
  • Description finalized
  • 5 to 6 screenshots exported
  • Demo video uploaded
  • Promo code or launch perk ready
  • First comment prepared
  • Maker usernames added correctly
  • Primary link points to the actual product, not a blog post

Warm hunter and amplifier list

Product Hunt does not require a hunter, so this is a warm outreach list for amplification, feedback, or optional hunt support if a real relationship exists.

Potentially relevant AI and dev-tool community members seen on Product Hunt launches:

  • @fmerian via Axel
  • @chrismessina via xmcp
  • @rohanrecommends via Lovable launches
  • Geva Perry via AutoArena
  • Zac Zuo via Aider
  • Alban (@albn) via keychains.dev
  • Rohan Chaubey via Maxclaw on Mobile and Lovable Desktop

Outreach rule:

  • Only message people who already know the product, the team, or the category
  • Ask for feedback or launch-day commentary, not votes
  • If no real relationship exists, skip the outreach and focus on maker-led distribution

Community mobilization plan

7 to 10 days before launch

  • Build the Product Hunt draft page
  • Finalize maker profiles
  • Publish or polish the landing page the PH launch will link to
  • Prepare a short email segment for current users, partners, and friends of the product
  • Prepare 3 X posts and 1 LinkedIn post
  • Line up 10 to 20 warm contacts who can give real feedback and comments

3 to 5 days before launch

  • Soft-test the launch story with friendly builders
  • Ask warm supporters to try the product before launch so their comments can be specific
  • Prepare founder replies for likely questions: data coverage, freshness, MCP support, pricing, and merchant sources

24 hours before launch

  • Confirm launch-day coverage across Pacific, Europe, and Singapore hours
  • Rehearse the launch-day post flow
  • Queue social posts, but do not run Product Hunt ads on launch day

Launch day schedule

All times below are Pacific Time because Product Hunt resets at midnight PT.

12:01 AM

  • Launch goes live
  • Maker posts the first comment immediately
  • Share launch link to warm supporters with one ask: visit the page, try the product, and leave genuine feedback if they have something real to say

1:00 AM to 6:00 AM

  • Monitor early comments
  • Respond fast to every real question
  • Keep one maker active in the thread

7:00 AM to 10:00 AM

  • Send email to warm list
  • Publish X and LinkedIn posts
  • Share with partner and builder communities that already know BuyWhere

10:00 AM to 2:00 PM

  • Post short product clips, screenshots, and FAQ answers on social
  • Keep founders in comments, especially on technical questions
  • Watch ranking and comment quality, not just raw upvotes

2:00 PM to 6:00 PM

  • Second distribution wave for Europe and late US audiences
  • Share use-case specific posts: shopping assistants, price monitors, MCP tools

6:00 PM to midnight

  • Final comment and response push
  • Thank contributors
  • Capture metrics and screenshots for recap content

Comment strategy

The goal is meaningful engagement, not shallow congratulations.

Prompt warm supporters with questions they can genuinely answer:

  • What would you build on top of this?
  • Which commerce workflow is hardest in your stack today?
  • Which agent client should BuyWhere support next?

Maker response rules:

  • Reply quickly
  • Be specific
  • Use the thread to teach the product
  • Never ask directly for upvotes
  • Do not use spammy or AI-generated comments

Post-launch follow-up

Within 24 hours:

  • Publish a recap post with results, lessons, and best community feedback
  • Email new signups with a fast-start guide
  • Convert launch questions into docs, examples, or roadmap items

Within 72 hours:

  • Publish a technical follow-up: how to build an MCP-powered shopping agent on BuyWhere
  • Reach out to the best commenters and interested builders
  • Review conversion funnel: Product Hunt visits to signup, first API key, first successful query

Within 7 days:

  • Turn top launch questions into public content
  • Repackage launch assets for dev communities, AI agent forums, and partner outreach

Recommended launch narrative for BuyWhere

Do not position BuyWhere as a generic shopping site.

Position it as infrastructure:

  • "The commerce catalog layer for AI agents"
  • "One API for product search, comparison, pricing, and affiliate routing"
  • "MCP-ready product data for agent commerce"

That framing is more differentiated on Product Hunt than "compare prices online."

Sources