
Brew: AI-Native ESP for Modern Teams and AI Agents
Generate on-brand emails and automations by defining your brand in markdown.
@philipdotxyz · X
The full gallery
Tech stack
77 projects

Generate on-brand emails and automations by defining your brand in markdown.
@philipdotxyz · X

Unified email platform for transactional emails, marketing campaigns, and AI-powered email creation.
@_gchauhan · X
Hello Jasper! We've been building Most businesses use separate tools for: • Transactional email • Marketing campaigns with A/B testing • Mailboxes • Contacts • AI email creation • Dynamic content integration • Domain specific branding Five products. Five subscriptions. Five sources of truth. We decided to build communication as one connected system instead. combines email infrastructure, campaigns, mailboxes, contacts, domains, AI generation, and webhooks in a single platform. Would love feedback on the product, positioning, messaging, and first impressions.

Book veterinarians for in-person or video appointments and manage your pet profile.
@DrewAmeric19177 · X
Check out what I just built with Lovable!

Educational platform addressing problems in modern edtech.
@integ_web · X
~*OpenEd* _Edtech is broken, we are fixing it._

Generate modern landing page redesigns by pasting your website URL and describing your desired changes.
@YaramasaGautham · X
Redesign you Landing page with URL

Browse and shop tailored, heirloom-quality clothing designed to last a decade.
@Ortegatomm79 · X
Check out what I just built with Lovable!

Build and grade candidate assessments with automated evaluation.
@aishwary07jain · X

Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

Browser-based PDF tools for editing, converting, and managing documents.
@influnexe · X
thanks James. you can use all my tools for free here😄 :

Translation management platform with agent-native workflows for shipping multilingual apps.
@sacsandc4 · X

Unify Gmail, WhatsApp, and business tools in one workspace to manage conversations and automate customer workflows.
@wrrkai_ · X
This week we're shipping Helping startups and growing businesses manage every customer conversation from one AI-powered workspace.

@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -