Alternatives
Products that do what Langdrift does
Detect cognitive drift in speech translations
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2021 · libretranslate.com
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Latest audio model for live speech-to-speech translation
Jun 2026 · blog.google
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Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
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Mar 2026 · lab.puga.com.br
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2014 · github.com
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2017 · github.com
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2020 · franklin.dyer.me
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Hey HN, I built this because the generational gap online is getting wider (and weirder). It’s an LLM-wrapper that translates "Boomer" (normal/corporate English) into "Brainrot" (Gen Alpha slang) and vice versa. It also has an "Image-to-Rot" feature that uses vision to describe uploaded images in slang. It’s mostly for fun, but actually kind of useful for deciphering what your younger cousins are saying. Would love to hear what you think!
Dec 2025 · brainrottranslator.com
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Dec 2025 · github.com
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A realtime, live transcription and translation app that works locally using a browser. Built with Huggingface Transformer.js and Supabase Realtime. Realtime in-browser speech-to-text with OpenAI Whisper! Broadcast to subscribed clients with Supabase Realtime. Translate to 200 languages with Meta's NLLB-200! Demo & source code https://supabase.link/realtime-ai-yt Shoutout to @xenovacom for building Transformers.js and providing plenty of examples at https://huggingface.co/docs/transformers.js/en/index#example...
2024 · github.com
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2023 · languessr.xiupos.net
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We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community!
2023 · heatmap.demos.watchful.io
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