Show HN: Built a CLI to find and disable telemetry for package.json dependencies https://ift.tt/wt9pO3Q August 22, 2026 at 11:28PM
Show HN: EchoVault, an app that interviews you and answers as you after death https://ift.tt/1dAeVJo August 22, 2026 at 03:14AM
Show HN: OzBrain, a shared brain for knowledge between agents and your team I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go with me. A lot of the “knowledge” ie research, analysis, reasoning will be done by agents as the primary user. Our current notes tools & tasks management systems were built for humans… I don’t care what the 17th thing on my bug backlog is. I want to conduct agents that can execute for me and…
Show HN: Zroar – Serialized Roaring Bitmaps in Zig zroar is a ground-up implementation of Roaring Bitmaps data structure in Zig. zroar stores both the keys and (array, bitmap) containers in a single flat byte buffer, making the in-memory representation equal to the on-disk or over-the-network representation, eliminating the serialization/deserialization step entirely. The design was originally aimed at systems which keep their posting lists on disk, but zroar performs faster than CRoaring even for purely in-memory ops, due to CPU cache localit…
Show HN: Traccia - Observability, Runtime Control & Audit for agents AI applications are becoming agents, which has started to take autonomous decisions. There are plenty of tools and platform available to trace, and observe what an agent or llms calls does. They are good in what they do, but tracing and observability isnt enough for AI agents era. We need a solution that can help you observe, evaluate, create run time policies to govern and finally audit the actions of the agent. We built Traccia to solve this problem. The good part, all …
Show HN: A data viewer for choosing Frigate-compatible IP cameras https://ift.tt/2ui7wPc August 21, 2026 at 12:40AM
Show HN: Praxos – team messaging with built-in memory Hey HN! What does a regular workflow at a startup look like? Probably like this: > One founder talks to customers > Another founder builds > A customer asks for something. The first founder explains it to the second. The second founder explains it to Claude > Two weeks any one of the founders asks one of the following questions: * Why are we building it this way? * What happened here? * What did we promise ACME we’d do? * How far along are we on X? > Then you …
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