Search results for StackScope

Launch Readiness Check shows you what to fix on your site before you ship it to Product Hunt, Hacker News, or PeerPush. Paste your URL, wait about 30 seconds, and get a readiness score from 0 to 10 with the specific items dragging it down and how to fix each one. It checks the things makers usually find out about too late: - Security headers: HSTS, CSP, X-Frame-Options, Referrer-Policy, Permissions-Policy, X-Content-Type-Options - Privacy and legal: privacy policy, terms of service, cookie policy - Web standards: robots.txt, sitemap.xml, security.txt, llms.txt - AI-built tells: placeholder text, root-domain social links, unconfigured contact emails, and common AI-builder fingerprints - Infrastructure: hosting, country, DNS provider, DNSSEC, SSL certificate and expiry, domain age, registrar - Tech stack: every framework, library, host, analytics tool, payment processor, email service, and CDN we can fingerprint What makes it different: it's the same report every public launch in the StackScope directory gets, run on your own site, privately, before anyone else sees it.

Keycard is a cybersecurity startup providing a specialized Identity and Access Management (IAM) platform designed specifically for AI Agents and autonomous applications. Their software helps enterprises securely deploy AI agents into production by replacing traditional static security credentials with dynamic, identity-bound, task-scoped tokens. The platform offers real-time, contextual guardrails and unified governance, allowing security teams to verify an agent's identity, assign fine-grained permissions, and audit all activities, thereby managing the complex security risks associated with autonomous machine-driven workflows. Keycard's goal is to become the "trust layer for the agent economy", ensuring AI tools can safely interact with sensitive data across various enterprise systems and environments at scale.

StackSpend is a spend control platform for lean teams. It unifies your cloud and AI costs across providers like AWS, GCP, Azure, OpenAI, Anthropic, and others into one dashboard, so you can see where money is going in real time. Instead of digging through multiple billing portals, founders get clear visibility into cost drivers by provider, service, team, and project, plus alerts and reporting that help catch spikes early. The goal is simple: reduce waste, improve forecasting, and protect runway without adding finance overhead.

StackSciences provides a SaaS platform to centralize your #devops environment risk analysis, policy compliance and runtime enforcement. On a single view, you can measure your attack surface, view what you expose and prioritize your next actions to make your multi-cloud infrastructure more secure.

Daemon Technologies (地灵科技) is a software company focused on driving the adoption of Stacks technology in Asia. We build technology around opportunities in the Stacks ecosystem, including OnStacks.com, STX Mining & Stacking, and more.

Mnexium is an AI memory infrastructure designed to provide persistent, explainable, and automatic memory capabilities for AI agents. By integrating Mnexium, AI applications can retain context across sessions, enabling agents to learn from conversations, store essential information, and recall relevant context when users return, even after days or weeks. This functionality enhances user experience by preventing the need for users to repeat information and allows agents to pick up where they left off. Key Features and Functionality: - Chat History: Maintains a raw conversation log of every message sent and received within a session, ensuring context continuity. - Agent Memory: Extracts and stores facts, preferences, and user context, persisting across all conversations and sessions. - Records: Manages schema-backed entities such as accounts, deals, tickets, and tasks, offering CRUD operations, filtering, and semantic search for deterministic application data. - Agent State: Tracks short-term, task-scoped working context for agentic workflows, monitoring task progress and pending actions. - Observability: Provides a comprehensive audit trail of every API call, memory creation, and authentication event, offering transparency into agent behavior. Primary Value and User Solutions: Mnexium addresses the common challenge of AI applications losing context between sessions, which often leads to users repeating themselves and agents losing track of multi-step tasks. By offering a persistent memory layer, Mnexium ensures that AI agents can remember user preferences and past interactions, thereby enhancing the user experience and improving the efficiency of AI-driven applications. Its seamless integration with platforms like OpenAI, Anthropic Claude, and Google Gemini allows developers to implement these capabilities with minimal code changes, eliminating the need for complex vector databases or embedding pipelines.