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Shrujal Mandawkarleft a comment
Really impressive journey especially scaling to billions of queries Curious — with this kind of workload, how are you handling security around data access and isolation? Especially if teams are using it in multi-tenant or production environments

HelixDBAn open-source OLTP graph-vector database built in Rust.
Shrujal Mandawkarleft a comment
This is a really cool idea turning daily data into a podcast is super unique Curious — since you're pulling data from multiple sources (calendar, GitHub, etc.), how are you handling security & access between these integrations? Especially making sure everything stays isolated and safe

lemonpod.aiYour daily life recap, narrated as a personal AI podcast
Shrujal Mandawkarleft a comment
This is really interesting the “no compaction” part hits hard, that’s a real pain Curious — with long-running sessions and persistent memory, how are you thinking about security around stored context? Like preventing sensitive data leaks or unintended access over time?

Mastra CodeThe AI coding agent that never compacts
Shrujal Mandawkarleft a comment
This looks really solid love the idea of running multiple agents in parallel Quick question — with all these isolated environments, how are you handling security between them? Like making sure one agent can’t access another or any API-related risks?

SupersetRun an army of Claude Code, Codex, etc. on your machine
