Alternatives
Products that do what LengoBrick does
The unified language ecosystem: From drills to open-world.
- 1IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Apr 2026 · github.com
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2025 · matthieulc.com
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2017 · clozemaster.com
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First TTS model to support all 22 Indic languages + English
2024
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Multilingual TTS model with realistic and expressive speech
Mar 2026 · mistral.ai
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- 8TA
2018 · hugoam.github.io
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- 10PF
Hey everyone, I'm Petr. I'm excited to share LangTale Playground (https://langtale.ai/playground), a first-of-its-kind tool enabling anyone to experiment with OpenAI function calls without coding. Born out of a hackathon project, it's now a part of our broader LangTale platform aimed at tackling common developer challenges with Language Learning Models (LLM). These include prompt integration, testing and debugging, version control, auditing, and usage/cost management. Here's our tech stack: Next.js by Vercel, Tailwind CSS, OpenAI, PlanetScale's Vitess database, and the…
2023 · langtale.ai
- 11LG
2020 · github.com
- 12WC
2020 · danieljanus.pl
- 13OS
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com
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Here is a tool I built initially for myself to help with my German and Greek language studies. It started as a hack for creating Anki cards from native language audio. It extracts the words, finds their base forms (lemmas) and groups the examples by the lemma. At some point I realised that I have a transcription with word level timestamps that opens a lot of other opportunities. So I added a mode to click the first and last word in the transcript and it starts looping with the right gap and repeat count. Another feature I use a lot is selecting an audio fragment, sending a predefined prompt…
Jun 2026 · lingochunk.com
- 16SY
Hi HN, I built Lengpal, a simple language exchange platform where two people get instantly matched on video to practice their native and target languages. There’s a timer built in so both sides get equal time to speak. I created this because I wanted something beyond passive apps like Duolingo. Something to actually speak with real people without the hassle of scheduling or chat fatigue. Right now we are testing the concept with a waitlist. We’ve collected 77 emails so far from Reddit and IndieHackers. I would love your feedback before launching the MVP. Site:…
2025
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Hello HN, Introducing VocabGenii.com, my online vocabulary game. It is the first product from my company, Genii, Inc., that brings innovative, engaging new learning experience to the market by leveraging web 2.0 and social networks. Currently, we are running a 10K Challenge -- anyone scoring 10,000 points before the contest ends (March 24 04:00 GMT) will get 3-Month unlimited play. Exceptional performance would also be recognized in our 10K Hall of Fame with limited edition trophies! We're hiring! If you have disruptive ideas on language learning and online education, and possess…
2011
- 19AR
A minimal "@ moving around a hardcoded map" implemented in a bunch of languages, some by me and some contributed by others. A slightly more interesting riff on the Hello World or 99 Bottles of Beer theme. More languages or improvements on existing ones would be nice :) There's a github repo at: https://github.com/nrkn/SimpleRL
2011
- 20AN
2023 · github.com
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- 23VE
I'm building a Telegram bot to practice Dutch. GPT-4o-mini kept picking vocabulary words I already knew, so I built a classical NLP pipeline to do it instead. It takes a short text + learner level (A0–B1) and returns the best words to study, using Stanza for parsing and corpus frequency ranks (SUBTLEX-NL, srLex, SUBTLEX-US) for scoring. Wins at A1/A2, loses at A0 where the LLM picks more obvious words. I also tried adding multi-word phrases (ADJ+NOUN, VERB+NOUN, phrasal verbs) backed by NPMI-scored collocation whitelists. Couldn't beat GPT there because it just "knows" which phrases…
Mar 2026 · huggingface.co
- 24CA
2018 · github.com
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