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ConstCash

ConstCash

Privacy-oriented personal budget management iOS application

PromptBrake

PromptBrake

Security testing for LLM-powered API endpoints

ostk.ai

ostk.ai

The invisible operating system

NotesnChat

NotesnChat

Be Organized. Stay Connected.

Billing Now

Billing Now

Create professional invoices for businesses and freelancers

MyRewardsVault

MyRewardsVault

Track your credit card and membership benefits

Nudga

Nudga

Reminders that don’t stop until someone responds

Free Marketing Calculators

Free Marketing Calculators

18+ tools to find Breakeven ROI/ROAS, profit and ad budgets

Amazon Scraping API

Amazon Scraping API

Easyparser, Amazon scraping for real-time product data JSON

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Promote your product

MyRewardsVaultMyRewardsVault
NudgaNudga
Free Marketing CalculatorsFree Marketing Calculators
Amazon Scraping APIAmazon Scraping API
MarketGeistMarketGeist
MyRewardsVaultMyRewardsVault
NudgaNudga
Free Marketing CalculatorsFree Marketing Calculators
Amazon Scraping APIAmazon Scraping API
MarketGeistMarketGeist
AI-native product discovery

Make Your Product Discoverable by AI

When someone asks an AI assistant “What is the best tool for X?”, PeerPush provides the answer. List your product with structured data and get recommended automatically.

How it works

1

List your product

Submit your product on PeerPush with structured data — pricing, platforms, use cases, target audiences, and alternatives.

2

AI agents query PeerPush

AI assistants like Claude, Cursor, and VS Code Copilot connect to PeerPush via MCP or API to answer product questions.

3

You get recommended

When users ask “What's the best tool for X?”, your product appears in the results — ranked by community engagement and relevance.

What AI agents can access

PeerPush provides structured, normalized product data that AI systems can reliably query and recommend from.

Structured product profiles

Pricing type, starting price, platforms, use cases, and target audiences — all in controlled vocabularies that agents can query precisely.

Community-validated rankings

Real upvotes, followers, and PeerPush scores from actual users — not self-reported. Agents use these signals to rank recommendations.

Alternative relationships

Explicit links between competing products. When someone asks "What are alternatives to X?", PeerPush has the structured answer.

Active deals and discounts

Current discount codes with expiry dates. Agents can answer "Are there any deals on [category]?" with real-time data.

Build-in-public signals

Product updates, changelogs, and development activity. Agents can tell users whether a product is actively maintained.

Target audience matching

Products tagged by who they serve — Developers, Indie Hackers, Marketers, Designers. Agents match the right tool to the right person.

Connect to PeerPush

AI agents can connect via MCP (Model Context Protocol) or REST API. No authentication required.

MCP Server

Connect any MCP-compatible AI assistant with one command. 8 tools for search, alternatives, comparison, trending, and more.

Claude Code
claude mcp add peerpush --transport http https://peerpush.net/api/mcp
Setup guides for Claude Desktop, Cursor, VS Code →

REST API

12 GET endpoints for product data. JSON responses, CORS enabled. No authentication required.

bash
curl "https://peerpush.net/api/v1/products?query=email+api"
Full API reference →

Get listed. Get recommended.

Every product on PeerPush is automatically discoverable by AI assistants. The more structured data you provide, the better AI can match you to the right users.

Submit your productSet up MCP

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Product discovery for people and AI.