The problem Candidates rehearse “tell me about yourself” and “greatest weakness,” then walk into a room where the conversation is about this posting, this stack, and what the company shipped last ...
AI solution from team Yousun Apexia for AI Factory hackathon ...
PolicyRipple AI is an AI-powered organizational change-management assistant designed to help teams understand the ripple effects of important internal changes before they are implemented.
PitchScout is an AI-native mission control agent that turns raw spoken or uploaded startup pitches into structured, actionable market validation reports backed by live web data. Instead of filling out ...
Security World Model (SWM) is an AI-native platform designed to automate and orchestrate complex security research workflows. It combines intelligent AI agents, structured planning, knowledge graphs, ...
The coding-agent race stopped being a two-horse contest this week. Alibaba open-sourced a 2.4-trillion-parameter model built for long-running software work, Meta shipped its first terminal agent, and ...
"CivicLens AI is an AI-powered civic issue reporting platform designed to make reporting public infrastructure problems faster, simpler, and more reliable. Traditional civic issue reporting often ...
EchoEarth AI is a multi-perspective foresight tool that helps people reason with every stakeholder in the room, not just their own instinct. Most decision tools give you a single static forecast one ...
FounderOS is an AI-powered startup operating system designed to help founders transform raw ideas into real, actionable businesses. Instead of using separate tools for brainstorming, validation, ...
Most Composio tutorials follow the same shape: fetch a list of tools, call one of them once against a static file, done. That's fine for showing off what a tool integration looks like, but it skips ...
I have worked in Public Health for many years. One of the challenges in healthcare is that people discover that they have a disease at a very late stage of the disease. Then it's often too late for ...
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