JoyLingo - Fluency Though Fascination
Learn foreign language through topics you actually love
What it does
Most language apps give everyone the same word list. JoyLingo is different. Type in any topic you're obsessed with — true crime, F1, crypto, cooking, whatever — and instantly get the top 20 vocabulary words in your target language. Every word set comes with: 📖 Two AI-generated stories so words stick through context 🃏 Spaced repetition flashcards to make them permanent Try for free at joy-lingo.com iOS coming soon!
Does the same job
all alternatives →- PDPersonalized Duolingo (kind of) for vocabulary building2025 · github.com · ▲161
Hi! Wanted to share the project I really wanted to have. TLDR; this app lets you create your own list of words and you get a Duolingo-like experience (kind of, still needs a lot of features) practicing those words in their context. My English is not the best but not the worst either. But I realized I can't boost it up after a certain level! In my belief, in order to truly learn a language, you need to be exposed to that language often. Vocabulary is the key factor here if you really want to improve in any language. My experience is that when I read a book to improve my English vocabulary, I…
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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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
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