We are building a social platform for devs to learn, build and ship publicly. We are a seed stage company funded by Sequoia SEA + DCG.

Meticulous is building the world's first fully autonomous and exhaustive testing platform for frontend codebases. Our system replays real user sessions against every pull request to catch regressions before they ship. Customers include Dropbox, Notion, Wiz, Wealthsimple, and LaunchDarkly.

Metly is a pre-seed startup building strategic intelligence for pharmaceutical companies. They aim to replace consultants by connecting critical knowledge across disconnected systems like regulatory filings, clinical pipelines, and competitive intelligence.

Mezzanine designs and builds digital technology solutions for customers across Africa and beyond in order to create productive societies. Founded in 2012, Mezzanine has market-leading expertise in the agricultural, health, financial inclusion and education spaces and works with mobile network operators to bring about positive change in the lives of people through the benefits of the digital dividend. Mezzanine is a subsidiary of the Vodacom Group.

MiLaboratories is building the 'OS for Biology'—a platform that processes terabytes of genomic data to accelerate antibody discovery and drug development. They are a deep-tech research lab focusing on high-performance computing and biological nuances.

A company rolling out mgmt config and seeking help with infrastructure automation.

At Microsoft AI's Ad Engineering Team, we're growing rapidly and seeking talented individuals who are passionate about AI and advertising technology. Microsoft is committed to empowering every person and every organization on the planet to achieve more.

We’re a newly formed team inside Microsoft AI (from the Inflection.ai acquisition) building core infrastructure and product capabilities behind Copilot Memory & Personalization — enabling long-term memory, intelligent search, and adaptive user experiences.

The team focuses on researching and implementing next-gen products, technologies, and user experiences, often developing internal prototypes and exploring end user products.

A team of researchers at the crossroads between biophysics and machine learning.