Education4 hours ago
Voynich Grammar Lab — Inferred Structure & Candidate Readings
Explore the Voynich Manuscript through statistical grammar inference and candidate translations.
@geeky_gamer25 · X
Check out what I just built with Lovable!
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Explore the Voynich Manuscript through statistical grammar inference and candidate translations.
@geeky_gamer25 · X
Check out what I just built with Lovable!
Learn languages through real sentences with color-coded meanings and spaced-repetition.
@LinguExcel · X
Become fluent in any language faster than ever by reviewing thousands of real life sentences. Treat language learning like a HIIT workout.
Analyze data and generate insights using natural language queries.
symuz · HN
LLM-enabled large data analysis
Transform AI-generated text into human-sounding content with tools for grammar, summarization, and SEO optimization.
@RohanAhmed06 · X
🚀 Built Humanely. An AI writing toolkit with: • AI Humanizer • AI Detector • Grammar Checker • Text Summarizer • SEO Tools I'd love your honest feedback 🙌
Play with throttling rules to see how AI providers decide which customers get strong models during demand spikes.
eliotho · HN
I built a tool showing how AI providers (should) throttle their models
Interactive playground for exploring how language models interpret and process text.
belluxx · HN
Nanointerpret – LLM Interpretability Playground
Estimate GPU memory, latency, TTFT, TPOT, and throughput for LLM inference.
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput
AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month
Capture meetings, write notes with AI, and create diagrams on a shared canvas in one place.
@rubs_murga · X
Try semantic adapters that modify how frozen language models perceive marked text spans.
joshua_s_penman · HN
Semantic Overlays – an NX bit for LLM prompt injection (live demo)
Test small language models (8M-13M parameters) in your browser that work offline.
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.