
Monglish
Learn English from famous books, with Mongolian translations
What it does
Monglish teaches English vocabulary from bestsellin books like Atomic Habits, Deep Work, and 48 Laws ofPower — with full Mongolian translations and examplesentences. Unlike Duolingo, every word comes with aMongolian translation. Flashcard system (swipe right= know it), XP, streaks, leagues, and a CEFR level tst from A1 to C1. Built by a Mongolian developer, fr Mongolian speakers. 3M+ Mongolians finally have anEnglish app that speaks their language.
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…




- PFPractice foreign languages with books (parallel translation and speech)2015 · paralleltext.io · ▲10
More life & fun this month
the category →- TL
Life & fun · 10d ago · louisabraham.github.io



Photosynthesis fires two of your iPhone
Life & fun · 29d ago · photosynthesis.camera
- CCCreatium Coach▲320
Your multimedia mentor that takes you from mid to great
Life & fun · 11d ago · producthunt.creatium.info
SoloUno▲310Take control of hair pulling, nail biting & skin picking
Life & fun · 28d ago · solouno.io
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
- FM
Dev tools · May 2026 · github.com