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Products that do what Kontinuity does

Never loose the thread - token and context health meter

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    Automate customer conversations across channels with AI

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    Cuely140

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  11. 11AS

    We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community!

    2023 · heatmap.demos.watchful.io

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    nok5

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    See how much Claude you have left before you hit the wall

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    Save context, Claude count tokens, and enhance every prompt

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  15. 15LC

    Hi HN, I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…

    Feb 2026 · uselibrarian.dev

  16. 16

    portable memory layer for ChatGPT, Claude, Gemini & more

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  17. 17AU

    Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…

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    Prep your codebase for any AI in 10 seconds

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  21. 21MC

    Hi HN! I’m Thunder. Longtime lurker and first time poster. I’m excited to present Moneta (https://moneta.studio/) with my co-founder Rob. *Moneta is a conversation-as-code platform for building multiplayer AI-native applications in which the AI can reactively update the application based on interactions with users or other AI via CRDTs.* The key idea is that rather than using a conversation to generate an application, in Moneta the conversation *is* the application. We call this idea 'conversation as the engine of application state' (CATEOAS). This means that instead of saying…

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