Miracle Cards
181-year mathematical card illusion.
What it does
Miracle Cards is not just a game; it's an interactive mathematical illusion built on massive probabilities. It selects 27 random cards from a 52-card deck—a scenario with over 477 trillion combinations. The exact probability of this sequence occurring is a staggering 43-digit number. Developed by a passionate amateur using the power of AI, this algorithm brings a 181-year probability cycle straight to your screen. Dive into the universal matrix and find your card!
Does the same job
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- AGAI generated Magic The Gathering cards2022 · urzas.ai · ▲188
- IBI built FlipCards – a flashcard app with variations to improve learning2025 · flipcardsapp.vercel.app · ▲42
Hi HN, I’m Felipe, a 9-5 developer aiming to become a full-time indie hacker. I struggled with flashcard apps that focus on decorating cards instead of learning concepts, so I built FlipCards to solve that problem. What it does: FlipCards lets you: - Create cards for any concept (math, language, coding, etc.) - Add multiple variations per card – the more variations, the better your understanding - Study smarter – the algorithm randomly selects variations so you can’t just memorize Q→A patterns Why it’s different: - Most apps use reverse cards (Q→A, A→Q). FlipCards uses variations to…
- HLHearthstone-like card game builder for humans2016 · dulst.com · ▲44
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com