llms.txt
# PeerPush
> Product discovery platform for people and AI. Products are described with structured, machine-readable data (controlled vocabularies for use cases, audiences, platforms, pricing, alternatives) so AI assistants can reliably answer "What is the best tool for X?" while a supportive builder community helps products gain traction.
PeerPush exposes its catalog via a public REST API, an MCP server, and a dedicated agents page. The platform is built around dual discovery: AI-powered discovery through structured data, plus community-powered engagement through build-in-public features, rankings, and rewards.
AI crawling and training permissions are documented separately at [/ai.txt](https://peerpush.com/ai.txt).
## Core pages
- [Homepage](https://peerpush.com): Trending products, Product of the Day, Week, and Month, plus curated weekly spotlights.
- [About](https://peerpush.com/about): Mission, model, and how PeerPush works for builders and AI.
- [How it works](https://peerpush.com/how-it-works): Step-by-step overview of submission, discovery, and the points system.
- [Submit a product](https://peerpush.com/submit): Submission flow with AI-assisted prefill from a URL; generates the structured data (use cases, audiences, pricing, platforms, alternatives) that AI assistants query.
- [Pricing](https://peerpush.com/pricing): A free option that waits in the launch queue, paid launch plans that publish instantly or on a chosen date, and promotional add-ons.
- [Directory submission service](https://peerpush.com/directory-submissions): PeerPush submits one software product to other directories in one-time packages of 30, 60, or 100 directories, starting at $149. Progress, support chat, and final results live in PeerPush. Available with or without an existing PeerPush product; directory approval is not guaranteed. The public page has current USD pricing and service terms; ordering requires an account.
- [FAQ](https://peerpush.com/faq): How ranking, plans, and the platform work.
## Discovery
Faceted indexes for finding products by attribute. AI agents answering "best tool for X" should start here.
- [Best of](https://peerpush.com/best): Curated "best" lists across categories, use cases, audiences, platforms, and pricing tiers.
- [Categories](https://peerpush.com/categories): AI tools, developer tools, SaaS, productivity, web development, and more.
- [Use cases](https://peerpush.com/use-cases): Products grouped by what users do with them (code development, AI chatbots, etc.).
- [Audiences](https://peerpush.com/audiences): Products grouped by who they're built for (developers, indie hackers, etc.).
- [Platforms](https://peerpush.com/platforms): Products filtered by platform (web, mobile, API, desktop, MCP, CLI).
- [Alternatives](https://peerpush.com/alternatives): Index of alternatives to popular tools.
- [Top rated](https://peerpush.com/top-rated): Highest-rated products by community score.
- [Deals](https://peerpush.com/deals): Active discount codes and free offers posted by the founders themselves; expired codes are never listed.
- [Search](https://peerpush.com/search): Free-text and semantic search across the catalog.
## Market intelligence (Signals)
Machine-readable market-intelligence datasets derived from real demand and AI-crawler activity. AI agents can read and query these datasets for trend, momentum, and market-structure questions (what's rising, what AI systems are discovering, what's most trusted, where the whitespace is).
- [Signals](https://peerpush.com/signals): What AI systems and humans are discovering across the software market right now: rising challengers, AI crawler activity, most-trusted tools, market whitespace, and demand intensity.
- [Methodology](https://peerpush.com/signals/methodology): How the data is measured, including privacy redaction and the k-anonymity floor that suppresses any named subject (a specific product, agent, category, or country) backed by fewer than 5 distinct visitors.
- Per-facet lenses, one machine-readable market-intelligence dataset per facet: /signals/category/{slug}, /signals/use-case/{slug}, /signals/audience/{slug}, /signals/platform/{web|mobile|desktop|api|cli|mcp}, /signals/country/{code}, /signals/agent/{name}, and /signals/alternatives/{slug}.
## Comparisons
How PeerPush compares to other product directories and review sites. Useful when an AI agent is asked "is X better than Y" or "what's the difference between PeerPush and Z".
- [All comparisons](https://peerpush.com/compare): Index of every side-by-side comparison page.
- [PeerPush vs Product Hunt](https://peerpush.com/compare/product-hunt): Sustained visibility vs one-day launches; community engagement vs social-following dependence.
- [PeerPush vs BetaList](https://peerpush.com/compare/betalist): Product stage requirements, ongoing updates, audience quality.
- [PeerPush vs Indie Hackers](https://peerpush.com/compare/indie-hackers): Product directory vs forum; discovery vs discussion.
- [PeerPush vs AlternativeTo](https://peerpush.com/compare/alternativeto): Curated alternatives with structured data vs crowdsourced lists.
- [PeerPush vs Capterra](https://peerpush.com/compare/capterra): Indie and emerging products vs enterprise B2B reviews.
- [PeerPush vs G2](https://peerpush.com/compare/g2): Builder community + AI discovery vs enterprise review marketplace.
- [PeerPush vs StackShare](https://peerpush.com/compare/stackshare): Product discovery vs developer stack profiles.
## API and AI integration
- [API reference](https://peerpush.com/api-reference): Public REST API, free API key required (create one at https://peerpush.com/user/api-keys). 14 operations: product creation (POST /api/v1/products) with a creation-status check, plus search, product details, alternatives, comparison, discovery, trending, new launches, awards, deals, and the category, use-case, and audience vocabularies.
- [OpenAPI specification](https://peerpush.com/api/v1/openapi.json): Machine-readable OpenAPI 3.1 spec for the PeerPush API.
- [MCP server](https://peerpush.com/mcp): Model Context Protocol server for AI assistants. 9 tools, zero configuration, streamable HTTP transport at /api/mcp. Read-only discovery endpoint for assistant directories: /api/mcp/discovery.
- [MCP server card](https://peerpush.com/.well-known/mcp/server-card.json): SEP-1649 machine-readable discovery card.
- [Agents page](https://peerpush.com/agents): How AI assistants use the PeerPush structured data layer for product discovery.
- [Sitemap index](https://peerpush.com/sitemap.xml): Machine-readable index of every public URL.
- [Crawling permissions](https://peerpush.com/ai.txt): AI-specific crawling and training rules.
## Community
- [Builders](https://peerpush.com/builders): Index of makers active on PeerPush.
- [Hall of fame](https://peerpush.com/hall-of-fame): Top builders and standout products.
## Content
- [Blog](https://peerpush.com/blog): Product discovery, generative engine optimization (GEO), marketing strategies, and launch tactics.
- [Newsletter](https://peerpush.com/newsletter): Weekly newsletter featuring top products, builder stories, and industry insights.
## Contact
- [Email](mailto:support@peerpush.com): support@peerpush.com
- [Twitter / X](https://x.com/peerpush_com): @peerpush_com
- [LinkedIn](https://www.linkedin.com/company/peerpush)
## Optional
- [Community rules](https://peerpush.com/rules): Platform guidelines, content policies, and submission requirements.
- [Terms of service](https://peerpush.com/terms): Legal terms and platform usage policies.
- [Privacy policy](https://peerpush.com/privacy): Data collection, cookies, third-party integrations, GDPR.
- [Partnerships](https://peerpush.com/partnerships): Cross-promotion and collaborative growth.
- [Affiliates](https://peerpush.com/affiliates): Affiliate program for referring paying customers.
- [Advertising](https://peerpush.com/advertise): Sponsored placements and newsletter sponsorships.
