Extrai – An open-source tool to fight LLM randomness in data extraction
A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated values. That's when I thought: What if I use multiple LLMs and take the most common response to improve accuracy? This idea became this new project. You provide your documents, an SQLModel schema, an LLM provider, plus what you'd like to extract and Extrai does the rest. Including…
Extrai – An open-source tool to fight LLM randomness in data extraction launched on November 3, 2025 with 5 votes, #4,178 of 9,796 launches that month and more than 75% of that year's launches.
What it does
Structured data extraction with LLM majority vote. Contribute to Telsho/Extrai development by creating an account on GitHub.
extrai extracts data from text documents using LLMs, formatting the output into a given SQLModel and registering it in a database. The library utilizes a Consensus Mechanism to ensure accuracy. It makes the same request multiple times, using the same or different providers, and then selects the values that meet a configured threshold. extrai also has other features, like generating SQLModel s from a prompt and documents, and generating few-shot examples . For complex, nested data, the library offers Hierarchical Extraction , breaking down the extraction into manageable, hierarchical steps. It also includes built-in analytics to monitor performance and output quality. For a complete guide,…from github.com
In the maker’s words, at launch
A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated…
Does a similar job
all alternatives →
LLM StatsOct 2025 · llm-stats.com · ▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, November 2025
the whole month →
Guideflow▲1,338Create interactive product demos and step-by-step guides in seconds with Guideflow, the leading AI-powered demo automation tool.
AI · Nov 2025 · guideflow.com
Hardware and software projects by Ali Roberts
Life & fun · Nov 2025 · bitsnpieces.dev
Welltory▲1,028Measure your wellness. Use data to feel great every day.
Work · Nov 2025 · welltory.com
TrustMRR▲833LLM Gateway is a b2b artificial intelligence based in United States, founded in 2025. $259,539/month in verified Stripe revenue. $78,764 MRR. Ahrefs Domain Rating 52/100. growing 55% month-over-month. Track LLM Gateway's verified metrics on TrustMRR.
Growth · Nov 2025 · trustmrr.com
Boing▲782Life & fun · Nov 2025 · boing.greg.technology