Peerpush

Peerpush is a product discovery platform built for both people and AI. Makers add a product once, and it is described in a structured, machine-readable format with controlled vocabularies for use cases, audiences, platforms, and pricing, so humans browsing the directory and AI systems answering tool requests can both find it. The platform is designed to extend visibility beyond a single launch day, which is the model it explicitly contrasts with Product Hunt.

Key Features

• Structured product listings: Products are stored with controlled vocabularies covering use cases, target audiences, platforms, pricing, and alternatives, making entries easier for both visitors and AI systems to query.
• AI discoverability: Peerpush states its listings are read by 31 AI systems, including ChatGPT, Claude, Perplexity, and Google Gemini, and that major AI crawlers are allowed to index the site.
• MCP server and public API: AI integration options for accessing product data programmatically.
• PeerPush score: A community engagement metric calculated from upvotes, comments, shares, and mutual support from other builders, which influences directory visibility and eligibility for daily, weekly, and monthly product awards.
• Build-in-public features: Product updates and transparent revenue tracking let makers share progress after launch.
• AI-assisted submission: Provide a URL and Peerpush auto-fills product details using AI, or you can enter use cases, pricing, platforms, screenshots, and descriptions manually.

Typical Use Cases

• Launching a new product: A maker submits a product and chooses a free queued slot or a paid instant or scheduled launch, giving the listing a permanent page in the directory.
• Gaining traction after launch day: Builders post product updates, collect upvotes and comments, and compete for daily, weekly, and monthly awards that surface products on the homepage.
• Being recommended by AI assistants: Because listings use structured data, a product can be read and recommended when someone asks an AI assistant for a tool in that category.
• Developer access to product data: Teams can query Peerpush listings through the MCP server or public API.

How It Works

1. Create a free account and select "Submit Your Product."
2. Paste your URL for AI auto-fill, or enter details such as use cases, audiences, pricing, platforms, alternatives, screenshots, and description manually.
3. Free submissions enter a publishing queue; paid plans publish instantly or on a chosen date.
4. After going live, the listing gathers upvotes, comments, and shares that feed into the PeerPush score and award rankings.

Who It's For

Peerpush suits indie makers, startup founders, and product marketers who want a lasting directory presence rather than a one-day launch spike, along with builders interested in a mutual-support community. Developers who need structured product data can use the MCP server and public API.

Peerpush gives products a structured, AI-readable home in a discovery directory where community engagement keeps them visible long after launch.