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Show HN: Fitness MCP https://ift.tt/Tcqsjex
Show HN: Fitness MCP There's no external MCP for your fitness (Garmin / Strava) data, so we built one. https://ift.tt/RHxU8J5 March 19, 2026 at 05:00AM
Show HN: ATO – a GUI to see and fix what your LLM agents configured https://ift.tt/pQURPnW
Show HN: ATO – a GUI to see and fix what your LLM agents configured https://ift.tt/aTlpz6G March 19, 2026 at 03:28AM
Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training https://ift.tt/KsNzoRS
Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training I replicated David Ng's RYS method ( https://dnhkng.github.io/posts/rys/ ) on consumer AMD GPUs (RX 7900 XT + RX 6950 XT) and found something I didn't expect. Transformers appear to have discrete "reasoning circuits" — contiguous blocks of 3-4 layers that act as indivisible cognitive units. Duplicate the right block and the model runs its reasoning pipeline twice. No weights change. No training. The model just thinks longer. The results on standa…
Show HN: Real-time local TTS (31M params, 5.6x CPU, voice cloning, ONNX) https://ift.tt/EkfXjyM
Show HN: Real-time local TTS (31M params, 5.6x CPU, voice cloning, ONNX) Hi guys and gals, I made a TTS model based on my highly upgraded VITS base, conditioned on external speaker embeddings (Resemble AI's Resemblyzer). The model, with ~31M parameters (ONNX), is tuned for latency and local inference, and comes already exported. I was trying to push the limits of what I could do with small, fast models. Runs 5.6x realtime on a server CPU It supports voice cloning, voice blending (mix two or more speakers to make a new voice), the license i…
Show HN: CodeLedger – deterministic context and guardrails for AI https://ift.tt/xQnJKlb
Show HN: CodeLedger – deterministic context and guardrails for AI We’ve been working on a tool called CodeLedger to solve a problem we kept seeing with AI coding agents (Claude Code, Cursor, Codex): They’re powerful, but on real codebases they: - read too much irrelevant code - edit outside the intended scope - get stuck in loops (fix → test → fail) - drift away from the task - introduce architectural issues that linters don’t catch The root issue isn’t the model — it’s: - poor context selection - lack of execution guardrails - no visibility a…
Show HN: I built a message board where you pay to be the homepage https://ift.tt/MuAJObl
Show HN: I built a message board where you pay to be the homepage I kept thinking about what would happen if a message board only had one slot. One message, front and center, until someone pays to replace it. That's the entire product. You pay the current message's decayed value plus a penny to take the homepage. Message values drop over time using a gravity-based formula (same concept HN uses for ranking), so a $10 message might only cost a few bucks to replace a day later. Likes slow the decay, dislikes speed it up. The whole thing r…
Show HN: AgentMarket – API marketplace where AI agents buy and sell capabilities https://ift.tt/eJKECyV
Show HN: AgentMarket – API marketplace where AI agents buy and sell capabilities Hey HN, I built AgentMarket ( https://agentmkt.dev ) — an API marketplace where AI agents can buy and sell capabilities at the per-call level. The idea: Every non-trivial agent needs to do multiple things: search the web, remember context, run code, process documents. Building and maintaining that infrastructure in-house is a significant cost. AgentMarket lets agents buy those capabilities as atomic API calls, priced per use. What's live today: - Memory store …
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