MongoDB For Startups
MongoDB for Startups offers free MongoDB Atlas credits, Voyage AI tokens, one-on-one technical advice, co-marketing opportunities, and access to our partner network.
Atlas Research Group
Atlas Research Group – A federated research group built for the regenerative era
Atlas Research Group
Atlas Research Group – A federated research group built for the regenerative era
Atlassian Enables Default Data Collection to Train AI
Atlassian will begin collecting customer metadata and in-app content from **Jira**, **Confluence**, and other cloud products by default on **August 17, 2026**, to train its AI offerings including `Rovo` and `Rovo Dev`. The change affects roughly **300,000** customers; metadata collection is mandatory for Free, Standard, and Premium tiers and cannot be opted out on those plans. Enterprise customers can opt out of metadata and in-app collection by default. Collected data will be retained up to **seven years**, with in-app data removed within 30 days after deletion or opt-out and models retrained within 90 days. Customers using customer-managed keys, Atlassian Government Cloud, Isolated Cloud, or with HIPAA requirements are excluded from collection.
ChatGPT’s Mac browser just got new features, like iCloud passkeys
ChatGPT Atlas launched last month as the latest AI-infused browser, and today Atlas added nine new features to its Mac app.
Welcome, Google Startups | MongoDB For Startups
We're excited to offer you access to the MongoDB for Startups program.
Introducing ChatGPT Atlas
Atlas Research - AI-Powered Research Platform
Transform your research workflow with Atlas - an AI-powered platform for data analysis, PDF processing, and interactive notebooks.
Launching a Cloud Atlas
The right questions to arrive with—and the right structure for what comes out of the interviews—are not completely obvious. So I’ve been spending some time thinking about clouds.
#opensource | Andre Zayarni | 61 comments
We have a long history with MongoDB. Many years ago, when I was still writing code myself, NoSQL was a novel concept. I was sold on its simplicity and natural compatibility with the Node stack. I used Mongo for all my side projects. For work, we still preferred SQL DBs, though. Fast forward to the early days of Qdrant, MongoDB Ventures reached out, and we had several conversations; they considered investing in our seed round. Their product managers and engineers were reaching out and praising our solution. At some point, they revealed that they are going to add vectors to their Atlas search product just by using Lucene. So what, who cares? At Qdrant, we’re not retrofitting anything. We’re building a dedicated vector search engine - from the ground up. If someone wants to replicate what we do? Go ahead, we are #opensource. But here’s where it gets frustrating. We have put in the hard work building our community and attracting prominent people in the AI landscape to use our product and create content about it. We have built our Qdrant Stars program to engage with the community even closely. qdrant.tech/stars So, what does it have to do with Mongo? Well, they just made a clever shortcut and reached out to our Qdrant Stars program members and influencers from our community, making them an offer they could not decline. I do not blame the content creators, it is their daily work and it is an excellent opportunity for them, guys, I can totally understand you, no worries. But let's call it what it is: A multi-billion-dollar company is now trying to buy its way into a community built by an early-stage startup, not them. We don’t fear competition. But when the incumbents start copying your strategy and poaching your community, it says one thing loud and clear: We’re making the right people nervous. We’ll never outspend Mongo, and we don’t need to. We have something they can’t copy or buy: a fast-growing, mission-driven, technically superior open platform - and a community that sees through the noise. So to the engineers, researchers, and creators who believe in open innovation, performance that doesn’t compromise, and communities that are earned, not acquired: you know where to find us. And to the MongoDB marketing geniuses: take on Elastic, take on Redis, take on Oracle, and others of your calibre, but leave Qdrant and other startups like us alone. | 61 comments on LinkedIn
Episode 1 - Mongo DB Is Web Scale
Theo - t3.gg on Twitter / X
I think Codex stopped using Electron 👀The owl was a big hint, the custom architecture used for the ChatGPT Atlas browser was called "OWL" (OpenAI’s Web Layer) https://t.co/L6PFio3EBE pic.twitter.com/ALFTbVCIXq— Theo - t3.gg (@theo) May 29, 2026
Service Road Atlas
Service roads are an integral part of accessing the wilderness, but they're constantly changing over time. Use the Service Road Atlas to find the latest community driven updates on the roads you wish to access.
