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Take back control of AI in your company

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  6. 6G4

    Hey HN, I’m Brad, one of the founders of Superblocks, a programmable cloud IDE for internal tools. This week we launched a deep integration with OpenAI, giving developers a tightly integrated app layer for GPT-4 powered internal tools (components, integrations, permissions, audit logging, SSO, observability etc.). Imagine you want to create an AI chat copilot for your support team that gives them answers to customer questions from your company’s corpus of information. With Superblocks, you can directly query a vector database like Pinecone or Weaviate, feed the results into OpenAI using our…

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  7. 7LP

    OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection…

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    DCP104

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  9. 9FL

    Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…

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  10. 10SC

    Hi HN, I’m the founder of Pangea. We’ve built a developer platform where you can easily add security to your code through a simple set of APIs - features like authentication, secrets management, audit logging, redaction of PII, restricting embargoed countries, known threat actor intelligence, etc. With the ChatGPT and LLM explosion, we thought of ways to reduce the risk of both the inputs and outputs from these services. Our NextJS sample app adds a security layer on top of ChatGPT with various security services that you can implement quickly. It’s basically a front end to the OpenAI API…

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    GitHub2

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    Stop leaking sensitive data to AI chatbots

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    I built kanban-md because I wanted a simple local task tracker that works well for the agent loop: drop tasks in, run multiple agents in parallel, avoid collisions, and observe progress easily. Tasks are just Markdown files (with YAML frontmatter) in a `kanban/` next to your code — no server, no DB, no API tokens. Simple, transparent, future-proof. What makes it useful for multi-agent workflows: - *Atomic `pick --claim`* so two agents don’t grab the same task. - *Token-efficient `--compact` output* (one-line-per-task) for cheap polling in agent loops. - *Skills included* -- just run…

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    Stop data leaks in ChatGPT. Browser-based DLP.

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    Setup in minutes, protect your assets from the edge

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    100% Local PII Anonymizer for ChatGPT & LLMs.

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