Tony Holdstock-Brown • Inngest (@itstonyhb) 's Twitter Profile
Tony Holdstock-Brown • Inngest

@itstonyhb

ceo + co-founder @inngest, durable, event-driven functions on any platform — serverless or servers. inngest.com

ldn → nyc → san-fran-sisqo

ID: 581786871

linkhttps://inngest.com calendar_today16-05-2012 10:06:57

459 Tweet

626 Followers

507 Following

Inngest (@inngest) 's Twitter Profile Photo

San Francisco! We are organizing an event around AI Engineering best practices next week, on Thursday, October 10th, at 6:30 pm. Join us and learn from us alongside browserbase 🅱️, Pylon, and Braintrust 🧠 lu.ma/mn7p9ms7 Learn more about the speakers below 🧵

Tony Holdstock-Brown • Inngest (@itstonyhb) 's Twitter Profile Photo

this is super cool. the number of applications for broad infra is obviously high, and... it's insane how much high quality, scalable, production ready stuff you can build on Inngest within a few hours

Render (@render) 's Twitter Profile Photo

What are AI agents? The best way to learn is to build one. Join us on Tues, Feb 4, for a joint workshop with @Inngest.👇 You'll learn: ❓ What "AI agent" actually means—and how to gauge an agent's autonomy 🛠 How to build + deploy your own agent that summarizes Hacker News 🚀

What are AI agents? The best way to learn is to build one. 

Join us on Tues, Feb 4, for a joint workshop with @Inngest.👇

You'll learn:
❓ What "AI agent" actually means—and how to gauge an agent's autonomy
🛠 How to build + deploy your own agent that summarizes Hacker News
🚀
Koyeb (@gokoyeb) 's Twitter Profile Photo

Curious about the multilingual and RAG capabilities of Deepseek R1? 👀 Check out this excellent write-up from our friend Charly Poly from Inngest ! 🚀 koyeb.com/tutorials/deep…

Yoko (@stuffyokodraws) 's Twitter Profile Photo

[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 🧵a16z.com/ai-web-app-bui…

[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 🧵a16z.com/ai-web-app-bui…
Inngest (@inngest) 's Twitter Profile Photo

Who says that parallel processing is complex? Just use `step.run()`: ⚡Works natively with `Promise.all()` 🔁 Failing steps get retried automatically ⚙️ Configure a dynamic multi-tenant concurrency with `key`

Who says that parallel processing is complex? 
Just use `step.run()`:

⚡Works natively with `Promise.all()`
🔁 Failing steps get retried automatically
⚙️ Configure a dynamic multi-tenant concurrency with `key`
Inngest (@inngest) 's Twitter Profile Photo

AI workflows need more than regular tracing. With the steps ai APIs, you get: ⚡ Live traces (for local dev and all environments) 🔍 Inspect LLM input and output and token usage 🔁 Rerun AI steps with a new prompt Let’s deep dive into each of them 🧵

Ted Werbel (@tedx_ai) 's Twitter Profile Photo

Most AI agent frameworks have complicated abstractions & are VERY difficult to scale 😵‍💫🤦‍♂️ Inngest has completely solved this with the MOST capable, scalable + enterprise-ready framework EVER 🔥 ✅ Instantly scales via distributed systems on ANY platform (AWS, GCP, Vercel,

anamitra (@anamitra) 's Twitter Profile Photo

If you are an AI or dev tools founder, you have to listen to Tony Holdstock-Brown • Inngest's, CEO/cofounder of Inngest, advice about how to get to traction. "Game distribution into your product". Listen to the full episode of the Pre Seed Show youtube.com/watch?v=KYwm87…

Amber Yang (@theamberyang) 's Twitter Profile Photo

as soon as there’s more than just you on the cap table, you have to do what’s best for the company, not your ego. obvious when said aloud, but always surprising how few truly internalize this.

Kyle Mistele 🏴‍☠️ (@0xblacklight) 's Twitter Profile Photo

Building a production-ready pipeline for ingestion & contextual retrieval based on the Anthropic post (linked below) and Inngest for handling flow control, error recovery & durability and Gemini for super cheap & fast inference and embeddings (Gemini embed is #1 on MTEB and

Building a production-ready pipeline for ingestion &amp; contextual retrieval based on the <a href="/AnthropicAI/">Anthropic</a> post (linked below) and <a href="/inngest/">Inngest</a> for handling flow control, error recovery &amp; durability and Gemini for super cheap &amp; fast inference and embeddings 

(Gemini embed is #1 on MTEB and