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OhNine is a free menu bar app that tracks Claude session and weekly usage limits in real time It sends native alerts at 80%, 91%, and 100% so a session never ends without warning The hard problem was never reading a number, it was making the warning arrive before the cutoff instead of after Building a zero telemetry tool changed how I judge every product I ship after it The Problem: Hitting a Wall You Cannot See For months, my Claude sessions ended the same frustrating way. I would be deep in a conversation, mid thought, actually making progress, and then the reply would just stop. No countdown. No yellow light. No warning that said "you have three messages left, wrap up." One second I was working, the next I was staring at a message telling me to wait for a reset I never saw coming. The frustrating part was not the limit itself. Usage limits exist for a reason, and I understand why they are there. The frustrating part was the total lack of visibility into where I stood. Claude Code and claude.ai will occasionally mention you are close to a cap, sometimes at 97 percent, which is technically a warning and practically useless, because by then you are already mid-thought with no time left to land it cleanly. It got worse once I noticed the layers. There is not one limit to track, there are several stacked on top of each other: a session limit, a rolling weekly cap, and separate caps depending on which model you are running. Switching models mid-session, thinking you had found a workaround, only to hit a wall from a different direction, was its own specific kind of frustrating. None of these layers showed up anywhere. There was no dashboard, no menu bar icon, nothing you could glance at the way you glance at your laptop's battery percentage before deciding whether to plug in. So the wall kept arriving the same way: mid-flow, mid-sentence, with zero warning. Coding sessions got cut off between a question and its answer. Writing sessions lost momentum at the worst possibl

Welcome to the v0.0.2 release of Knowledge-and-Memory-Management, a tool designed for ingesting and managing knowledge from diverse sources. This release marks a clean release, stripping all hardcoded personal paths and replacing them with the portable $AGENT_HOME environment variable. For experienced developers, this version brings consistency and ease of deployment across environments without sacrificing the core functionality of knowledge collection and memory management. The project focuses on three primary collection pipelines: web, video, and articles. Each pipeline is modular, allowing you to configure, extend, or replace components based on your stack. The memory management layer ensures that collected data is indexed, stored, and retrievable via semantic search, making it practical for building personal knowledge bases or feeding into larger systems like agents or RAG pipelines. Knowledge Collection The collection module is source-agnostic at its core but ships with specialized handlers for common content types. Web collection uses a configurable web scraper that supports depth limits, domain filtering, and content extraction via readability algorithms. You can target specific sections, strip ads, and normalize HTML into markdown. The scraper respects robots.txt and supports session management for authenticated sites. Video collection transcribes audio using a local or remote ASR model. The pipeline extracts audio tracks, splits them into chunks, and generates timestamped transcripts. This is particularly useful for processing lectures, talks, or screencasts. The transcript is treated as a text document for further processing. Article collection handles RSS/Atom feeds and direct URLs. It parses feeds, fetches full content using readability engines, and deduplicates entries. Articles are converted into a consistent schema: title, author, published date, body text, and metadata. All collected data passes through a normalizer that converts content into a stand

Outside experts—some with a vested interest in peptides—recommended adding a number of the amino acids to the FDA's bulk list, including the “Wolverine stack” touted by Joe Rogan and other influencers.

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I'm a long-time macOS user and I just want a change. Curious what people here actually use every day and what made you stick with it. Curious if you also switched from a Mac too. I'd like to get out of the "walled garden" ecosystem.

The breathalyzer identifies the amount of acetone in your breath to determine if your body is in ketosis.