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[New post alert ?? ] AI site generation market has seen hyper growth in the past few months - now we see early innings of a new paradigm: building infra integrations and runtimes for AI agents. Here's how devs can get ahead of building for the new paradigm: First, how do the products in this category work? Part of the magic here is agent runtime -- business logic that tracks files, decides on tool calling, manages executions, integrates APIs, etc. In short, this is the part of the system where the agent needs to 1. run reliably 2. manage state To read more, check out our post below and twitter thread here: https://lnkd.in/gTU9_-8J w/ Clerk.com Inngest Supabase StackBlitz Mintlify Resend Upstash

??Product Launch #1 Cult UI PRO ?Copy and Paste the Full Stack - Vercel ai sdk blocks - Supabase blocks - Upstash examples too ?? https://pro.cult-ui.com

companies are really nailing it with workflow-based execution lately. tried Cloudflare workers workflows and Upstash workflows—both are so good. their apis are smooth. this kinda stuff is laying the groundwork for agentic ai. huge potential.

New 6-hour-long free course is now live! ?? Learn to build a production-grade University Library Management System with industry-standard practices; from rate-limiting, DDoS protection, caching, optimizations, multi-media uploads, complex db queries, and advanced error handling to automated workflows with custom notifications. https://lnkd.in/dfsrPC3A Tech Stack: - Next.js, TypeScript, and NextAuth - Postgres with Neon: A fast, edge-ready database built to scale. - ImageKit.io: Real-time media processing APIs for free storage, dynamic transformations, and streaming capabilities. - Upstash Redis: Efficient caching, rate-limiting, and detailed workflows with custom triggers. - Drizzle ORM: The latest ORM making database interactions faster. - TailwindCSS, Resend, ShadCN and more! By the end of this video, you’ll master the skills to build real-world apps that meet the demands of modern web development. Watch now and start building!

It's a wrap! Our first year in review went out to 15,000 teams on Papermark Here how we did it and open source email template ↓ Our year in review email included activities like ? total time spent on docs ? total views ? total documents shared ? top percentile ? geographies ? best month We sent it all with Resend but it's very different from your average newsletter email... First, let's talk about the constraints. Sending 15k emails is not a big deal if it's a newsletter with the same content. However, each team (and it's team members) would get a personalized email with their team's statistics. So we needed to preprocess the data first. Our data is primarily in Postgres. But the key number "time spent on document" is stored in Tinybird because we track time per page and we receive a looooot of page view events. Makes this super easy as a hosted Clickhouse service, but this also means we need to fetch data from Tinybird and store it in our Postgres for each team for the entire year. We decided to create a new table YearInReview to store the stats for each team, having used Prisma for so long, I started to appreciate raw SQL queries again. I still wouldn't have written the fat query without Anthropic AI's Claude tho. Now that we have all stats in one place, we need to send the email. Our typical email volume is 1,500 / day, so we didn't want to send 15,000 emails in one hour and risk getting flagged by Gmail or Outlook. We set up a cron job with Upstash's Qstash, which we already use for other scheduled checks. We are making use of Resend's batch email endpoint to send 100 emails every half an hour. The email template was built with react-email (of course!) and takes advantage of Tailwind css and JSX for conditional rendering and mapping over arrays like geographies. I added react email code in the comment. Bonus: it's also available in the react-email example section (pending PR)

Introducing the AI Engineer Pack — Volume 2! Get $50+ in credits from each of the leading AI developer tools including Upstash, ElevenLabs and more. Whether you're building a new AI product at work or launching a side project, the AI Engineer Pack has everything you need to build with AI. Coupon supplies are limited. Apply now at AIEngineerPack.com

Reddit sentiment analysis for the US 2024 Presidential Election ????? We periodically parse the latest Reddit posts using QStash and ask OpenAI to score them. An Open Source Project by Upstash: https://lnkd.in/d6ERUWce

RAG chatbot is an assistant designed to help affiliates on IG. Introducing mangosqueezy.com Find and onboard affiliates automatically We help SaaS businesses by finding affiliates, creating links, and tracking results for you. Just pick a product to promote, and we handle everything, so you can focus on growing your business. Benefit - As a business, you can easily save up to 4-5 weeks. Stack used for RAG chatbot implementation: - Vercel /ai SDK - Upstash workflow for sending IG messages - Supabase for vector storage - dubdotco for creating affiliate links - Resend for messaging affiliates - honojs to create an API, deployed on @vercel Source code: https://git.new/iQ7MgSA

Upstash is now closer to Indian Developers! Introducing our new Mumbai region for globally fast Redis: ◆ Faster reads & writes for Indian users ◆ Improved latency across the region Can be used with new or existing databases in seconds.

Learn how to build a community platform with a focus on user onboarding using NextJs, Prisma, Neon, Clerk.com, and Upstash workflows. https://lnkd.in/gR--FkPm