Show HN: Cordon – Reduce large log files to anomalous sections https://ift.tt/PkxpMJ9

Show HN: Cordon – Reduce large log files to anomalous sections Cordon uses transformer embeddings and density scoring to identify what's semantically unique in log files, filtering out repetitive noise. The core insight: a critical error repeated 1000x is "normal" (semantically dense). A strange one-off event is anomalous (semantically isolated). Outputs XML-tagged blocks with anomaly scores. Designed to reduce large logs as a form of pre-processing for LLM analysis. Architecture: https://ift.tt/gv8IX3w... Benchmark: https://ift.tt/cMh6GH7... Trade-offs: intentionally ignores repetitive patterns, uses percentile-based thresholds (relative, not absolute). https://ift.tt/LD4YcQz December 16, 2025 at 02:06AM

Show HN: A lightweight SaaS to reduce early-stage app friction https://ift.tt/KdJYxuo

Show HN: A lightweight SaaS to reduce early-stage app friction I recently shipped a small SaaS I built in roughly 24 hours, mostly during school breaks. This is my first project that I have taken from idea to deployment, onboarding, and real users. The product targets early-stage developers and focuses on reducing initial setup and preparation when building new apps. It abstracts away some of the repetitive early decisions and boilerplate that tend to slow down first-time builders, especially around project structure, configuration, and “what should exist on day one”. I have a small number of active users, but churn is relatively high, which suggests either: the problem is not painful enough the abstraction leaks too early the UX or onboarding fails to communicate value or the tool solves a problem that disappears after the first session I would really appreciate technical feedback on: whether the abstraction layer makes sense if the mental model aligns with how you bootstrap projects where the product feels opinionated vs restrictive what would make this something you would actually keep installed Thanks for reading. Direct, critical feedback is very welcome. https://simpl-labs.com/ December 16, 2025 at 12:21AM

Show HN: A Wordle-style game for SHA-256 hashes https://ift.tt/0tEO678

Show HN: A Wordle-style game for SHA-256 hashes i built a small wordle-style game where the target is a daily sha-256 hash. it’s intentionally not cryptographically realistic; the goal is to make avalanche effects and the meaninglessness of near-matches intuitive. this was a quick front-end experiment; the code isn’t published yet. everything runs client-side; no tracking; no accounts. https://hashle.app December 15, 2025 at 11:38PM

Show HN: Llmwalk – explore the answer-space of open LLMs https://ift.tt/4andEco

Show HN: Llmwalk – explore the answer-space of open LLMs https://ift.tt/O3JutW8 December 14, 2025 at 10:14PM

Show HN: Open-source customizable AI voice dictation built on Pipecat https://ift.tt/E42PBn7

Show HN: Open-source customizable AI voice dictation built on Pipecat Tambourine is an open source, fully customizable voice dictation system that lets you control STT/ASR, LLM formatting, and prompts for inserting clean text into any app. I have been building this on the side for a few weeks. What motivated it was wanting a customizable version of Wispr Flow where I could fully control the models, formatting, and behavior of the system, rather than relying on a black box. Tambourine is built directly on top of Pipecat and relies on its modular voice agent framework. The back end is a local Python server that uses Pipecat to stitch together STT and LLM models into a single pipeline. This modularity is what makes it easy to swap providers, experiment with different setups, and maintain fine-grained control over the voice AI. I shared an early version with friends and recently presented it at my local Claude Code meetup. The response was overwhelmingly positive, and I was encouraged to share it more widely. The desktop app is built with Tauri. The front end is written in TypeScript, while the Tauri layer uses Rust to handle low level system integration. This enables the registration of global hotkeys, management of audio devices, and reliable text input at the cursor on both Windows and macOS. At a high level, Tambourine gives you a universal voice interface across your OS. You press a global hotkey, speak, and formatted text is typed directly at your cursor. It works across emails, documents, chat apps, code editors, and terminals. Under the hood, audio is streamed from the TypeScript front end to the Python server via WebRTC. The server runs real-time transcription with a configurable STT provider, then passes the transcript through an LLM that removes filler words, adds punctuation, and applies custom formatting rules and a personal dictionary. STT and LLM providers, as well as prompts, can be switched without restarting the app. The project is still under active development. I am working through edge cases and refining the UX, and there will likely be breaking changes, but most core functionality already works well and has become part of my daily workflow. I would really appreciate feedback, especially from anyone interested in the future of voice as an interface. https://ift.tt/JDLyTYa December 14, 2025 at 09:51PM

Show HN: I built a one-click coin flip with no ads or tracking https://ift.tt/Q1BdLsD

Show HN: I built a one-click coin flip with no ads or tracking https://ift.tt/FvspCZn December 14, 2025 at 12:11PM

Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe https://ift.tt/VbAGWT9

Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe The biggest problem with Tic-Tac-Toe is that it almost always ends in a draw. Tic Tac Flip tries to fix that! Learn the rules in Learning Mode or below: - Winning Criteria: 3 Ghosts (Flipped O or X, which can be a mixture). It's not just 3 Os or 3 Xs anymore! - Flipping Mechanic: When one or more lines having only O and X are formed, the minority of either all Os or all Xs get flipped to a Ghost, and the majority gets removed from the board. E.g., A line of 2 Os and 1 X leads to 1 X ghost and the removal of 2 Os. - Active Flip: You can actively flip your O/X to a Ghost (or flip a ghost back) once per game. - Placing Ghost Directly: You can place a "Ghost" piece directly as a final winning move (only once, and only when there are two existing ghosts in a line). I'm looking for feedback on the game balance and learning curve. Specifically: - Is the "Ghost" and "Flip" mechanic intuitive? - Is the Learning Mode helpful? - Is the game fair? Any rule adjustments needed? - Any bugs or issues? Any suggestions or comments would be much appreciated. Thank you in advance! https://tic-tac-flip.web.app/ December 14, 2025 at 11:19AM