Elliott Robinson @TheValuesVC

With CISOs prioritizing agent security, one question I've heard is, "why should I prioritize social engineering defense when it has traditionally focused on the human layer?" The answer is the next wave of social-engineering attacks does not care who is on the other side, whether they are human or an AI agent. As agents take over more and more human workflows and social interactions, Social Engineering Defense (SED) has to protect both humans and agents. We're already seeing this today in how @DoppelHQ's customers use our core products - Human Risk Management, Digital Risk Protection, and Email Security. In just the past few weeks, we’ve seen: 1. Our social engineering agents call into AI-powered customer support – leading to our agents battling their agents. 2. GEO / AEO poisoning with credential theft links being suggested by LLMs. 3. AI personal assistants reading and consuming emails before traditional email security solutions can scan. Humans used to be the “most vulnerable link” – now it’s also agents that need to be protected. Full blog in the comments below.

Your next coding interface might just be iMessage. Use this template to get your own Codex agent running in iMessage: render.com/templates/phot…

Photon @PhotonHQ

3 days ago

Introducing Photon + @render's new template: your own Codex agent, right in iMessage. Photon connects the messages. @OpenAI Codex handles the work. Render keeps it running. Demo 👇

12 3 56 16K 40

We spent years hearing: “Will Render scale?” OpenAI builds on Render. Base44 scales on Render. Meanwhile, weekly paid service creation looks like this. I think we can retire the question.

We are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an AI-native citator. Almost every legal question starts in the same place. What does the law say, and does it still hold. That is also where AI has been least worth trusting, and I think it is the hardest problem in legal AI. Two things have to be true: You have to have the law, and you have to know your way around it. Getting the data is a grind, and a different grind in every country. We partner with publishers where we can. Where nobody will partner, we go and get it ourselves. Manual requests, physical scanning, whatever that jurisdiction takes. We are working through over 100 countries and every type of source. Then the harder half. No agent can reason across hundreds of millions of documents. Something has to choose the sources before the reasoning starts. So we are building an ontology of the law and an AI native citator, compressing corpora of thousands to hundreds of millions of documents into structured data that an agent actually can use to provide reliable output. The publishers did this by hand. 150 years, thousands of attorney editors, every opinion read by a person. We have hired the best of those editors. They set the standard and they call the close ones, but AI does the muscle work. Reading 60 million pages of case law is no longer too expensive to attempt. The ontology is in limited beta now. Generally available in Q4. Full story: legora.com/newsroom/legor…

Advancements are constant, surprising, and uneven. There is no best model x.com/i/article/2097…

Origin is now a supported Git provider on Render. Build in @cursor_ai, save to Origin, and run your full stack on Render. Cursor workspace admins, connect Origin to Render and get started today: render.com/docs/git-provi…

OpenAI used Codex to migrate its docs agent to Render Workflows in a single prompt. @kagigz didn’t write a line of code. “It told me how to run it, and that was it. It just worked.”

Five numbers tell you whether an AI business is a real business. Gross retention.@WeAreLegora is 95%. Customers who bought last year are still here this year. If this one is broken, nothing downstream matters. NRR. Ours is 300%+. Gross retention is the floor. NRR is how much taller customers build on top of it. We don't sell shelf-ware.  DAU/MAU. Ours is north of 50%, and the average active user spends 17 hours a month in the product. A rollout tells you a firm has signed. This indicates the work actually matters, and it moves here before it appears in retention or NRR. Win-rates. Our August pilot closed-won-win rate was 78%. Winning roughly 4 out of 5 competitive pilots is downstream from offering a superior product. Gross margin. The one that matters most. Ours is positive and improving every quarter. Our customers want Legora to be a long-term partner, and this is what makes that possible. There's a shorter route: Price below what it costs to serve, book the logo, and hop on a never-ending fundraise treadmill to pay for it. The top line goes up, everyone claps, and every new customer costs more than they pay. Scaling a negative margin only exaggerates the problem. The whole point of scale is that the margin improves as you go up. Ours does. That's the only version of this business worth building.

Over the moon (literally) to announced that we @BessemerVP co-led the $450M series C in @ExplorationTEC - the largest funding round for a European space company! Hélène Huby & the TEC team are shaping the global Space economy. My first time investing in rocket science! 🚀 LFG

Now with active CPU pricing, Render Workflows are the best primitive for building durable agents without managing queues, workers, or compute.

OpenRouter @OpenRouter

3 weeks ago

OpenRouter now runs inside @render Workflows. Stop putting LLM batches in your web service. Each prompt becomes its own task run, queued, retried, and fanned out by Render, with the model call routed by OpenRouter.

18 13 115 183K 26

Old: plan: pro (how much RAM was that again?) New: plan: 2c-4g (2 CPUs, 4 GB) What you see is what you get. Old IDs still work. Nothing to migrate.

Our founder @anuraggoel checks data dashboards first. When he asked why dbt hadn't run yet, we knew the pipeline had to change. So we rebuilt our pipeline on Render Workflows with smarter branching, free "poll until ready" retries, full observability. See how we saved $100K → render.com/blog/how-rende…

That’s a wrap on H2 @doppelhq CKO in my hometown of Boston! @rahul_madduluri and I talk about this every year, but it’s incredible to see how much bigger the event gets each time we do it. We’ve welcomed more than 130 new Doppelgangers since our last CKO in February of this year. Huge thank you to @TheValuesVC for joining us, and to the entire Doppel team for the energy, collaboration, and commitment throughout the week. And a special thank you to Bobby Ford, @alyssa_c, Rosa Andrews, MSHR and the marketing team for not only planning the event, but for an incredibly well-executed surprise: bringing my mom on stage. This was a special moment she and I will never forget. I’m immensely proud of what we’ve been able to accomplish in four+ years, and even more excited about what we can accomplish in the next four. Here’s to more baseball games, growth, and Doppel Magic.

keyboard_arrow_left Previous keyboard_arrow_right Next

Proud to be @base44’s application cloud as they blow past $200M ARR at breakneck speed. They’re proving that the world’s most ambitious companies can scale all the way without the hyperscaler complexity tax. @render takes you there.

Maor Shlomo @MaorShlomo

a month ago

We just blew past $200M ARR at @Base44 5 months after hitting $100M. We've released Base 1 in between. i'm proud of the healthy business we're building, being the only platform to own its entire stack (backend, models, etc) - which also allows us to move fast and be creative.

88 51 674 686K 91

@twin1ai This is truly groundbreaking stuff! Congrats team 🙌🏽

Ive known @lewiszliu + the Founding team @twin1ai for years & if there’s 1 thing I know its that they will change how we think about Agentic work, governance, context, and security Proud to see @BessemerVP co-leading the $20M seed with our friends at @tribecavp & @aramcoventures

Twin1 AI @twin1ai

a month ago

Introducing Twin1: an AI extension of you.

3 8 14 4K 1

Today we’re launching 𝐓𝐡𝐞 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐰𝐚𝐤𝐞𝐧𝐢𝐧𝐠, the deep-dive research and playbook on agentic development. ⭐ 20+ AI-pilled engineering teams → 63-pages of insights and frameworks to guide a company’s transformation. Developer teams want to know: "How are we measuring up? 🧵 theagenticawakening.com

Ferndesk is an agentic help center that monitors code changes, support tickets, and product releases to autonomously write and maintain documentation. When they started to scale, they switched to Render. Here’s why → render.com/customers/fern…

x.com/i/article/2079…

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.