
Memoniq Mini-App!
Smart flashcards with AI, spaced repetition, quizzes & duels
What it does
Smart flashcards with AI, spaced repetition, quizzes, duels & a study pet. Learn anything in Telegram!Most flashcard apps are either too complex (Anki) or too expensive (Quizlet). Memoniq lives entirely inside Telegram — no install, no separate account. What's different: AI generates full decks from any text or PDF in seconds. Then you actually want to study — real-time 1v1 duels, weekly leagues, and a pet that grows with you. FSRS-5 spaced repetition under the hood. Free to start.
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- 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…
- OAOwl, a Spaced Repetition App2025 · owl.cards · ▲14
Owl is built a spaced repetition app. We built it for ourselves mostly because we were unhappy with Anki from a UX perspective, and are now releasing it to everybody else. It is super tiny, but - we think - also pretty good. You can add your own decks manually, or generate them from a PDF (think academic papers, which is how I use that feature) or a prompt. There are no emails except study reminders (when there are cards to study). You can also use our "AI tutor" to review cards conversationally. Looking forward to your feedback!
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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…
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Launched alongside, March 2026
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