Alternatives
Products that do what Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy does
Hello HN! I’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out the MediSearch API in 10 seconds in this Colab [https://tinyurl.com/medisearch-colab], or test the search engine live at MediSearch [https://medisearch.io]. See our API page [https://medisearch.io/api] to apply for access. Some technical highlights: 1. State-of-the-art accuracy of 92% on the USMLE self-assessment exam [https://tinyurl.com/medisearch-eval]. 2. Ranked 2nd on MedQA benchmark,…
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Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
2023 · github.com
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Hi HN, I’d like to share MediSearch with you. A few months ago, I had a knee injury and got several surgery options from doctors. I had to make an important decision, but the medical information search experience was terrible. The sites I found either did not answer my questions (long health blogs) or were too technical to easily understand (scientific papers). This gave me and my friend the idea for MediSearch. Our goal is to build a system that provides direct accurate answers to medical questions based on trustworthy sources. We’d like to make MediSearch helpful to everyone and we still…
2023 · medisearch.io
- 3AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com
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A little idea I got from playing with AI SWE Agents. Can AI help make sure we understand the code that our AIs write? PR Quiz uses AI to generate a quiz from a pull request and blocks you from merging until the quiz is passed. You can configure various options like the LLM model to use, max number of attempts to pass the quiz or min diff size to generate a quiz for. I found that the reasoning models, while more expensive, generated better questions from my limited testing. Privacy: This GitHub Action runs a local webserver and uses ngrok to serve the quiz through a temporary url. Your code…
2025 · github.com
- 6WB
We are super excited to release our latest open-source demo, Healthsearch. This demo decodes user reviews of supplements and performs semantic- and generative search on them, retrieving the most related products for specific health effects, and leveraging Large Language Models to generate product and review summaries. The demo can understand natural language queries and derive all search filters directly from the context of your query.
2023 · github.com
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Hi HN, I’ve built AskMedically – an AI-powered assistant that answers health and medical questions using real research papers from trusted medical sources like PubMed, Cochrane, etc. Whether you’re a healthcare enthusiast, patient, student, or professional – AskMedically helps you explore trusted medical knowledge without needing a medical degree or slogging through dozens of PDFs. Examples: • “Does intermittent fasting improve insulin sensitivity?” • “What are the benefits of creatine for brain health?” • “Is ashwagandha safe to take long-term?” • “How does ADHD present in adult women?” •…
2025
- 9AP
This demo collects patient information in an open-ended and conversational format and then writes a preliminary medical note based on patient responses. Many GPT-3 applications focus on GPT answering user queries; here, we flip it around, with the system asking the user instead. I think open-ended conversational question-asking (that maintains long-term coherence, for which we use SNOMED-CT ontology and some rules) is especially important in medicine. Most existing systems rely on multiple-choice questions with a heavy amount of medical reasoning, but that’s very hard to get right. You can’t…
2023 · auxhealth.io
- 10SO
We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…
2025 · github.com
- 11CW
Hello HN! I was fed up switching between multiple UIs to ask GPT, Claude, etc… the same question and comparing the answers. So I built a way to ask multiple models the same question efficiently by having the LLM compare the responses and only show you new and valuable information from the 2nd model. This way you still get a fast response as normal from the 1st model, but also get any added value provided by the 2nd model. Initially I built my own UI to use this, but stumbled upon Open WebUI (formerly Ollama WebUI) which is fantastic, but is made more for local access to LLMs. So I talked to…
2025 · polychat.co
- 12IB
I’ve been playing around with local LLMs for the past couple of months and decided to build something that can run on an iPhone. It’s a universal app built with SwiftUI and the excellent ggml library. The model is an SFT fine tuned and 4 bit quantised version of the RedPajama-INCITE-Chat-3B-v1 OSS LLM. It works reasonably well on recent-ish (~3 year old) iPhones, iPads and Macs. It was launched on the App Store yesterday[1] and Product Hunt today[2]. It seems to be reasonably ok at natural language interactions, but given its size, does pretty badly at coding and reasoning. Also, it…
2023
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2023 · github.com
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Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
2024 · dataherald.com
- 16EA
Hi HN, I’m a solo dev building a clinical search engine to help my wife (a resident physician) and her colleagues. The Problem: Current tools (UpToDate/OpenEvidence) are expensive, slow, or increasingly heavy with pharma ads. The Solution: I built Evidex to be a clean, privacy-first alternative. Search Demo (GIF): https://imgur.com/a/zoUvINt Technical Architecture (Search-Based RAG): Instead of using a traditional pre-indexed vector database (like Pinecone) which can serve stale data, I implemented a Real-time RAG pattern: Orchestrator: A Node.js backend performs…
Dec 2025 · getevidex.com
- 17VA
Hey there HN! We've just open-sourced Vanna – a Python package that allows you to transform questions into SQL. We've leveraged LLMs to enable you to "ask" databases what you need, bypassing the need to "write" complex SQL. Quick Overview: - "Train" using DDL statements, documentation, or known correct SQL statements. - "Ask" questions in natural language and receive SQL, tables, and charts in return. - Open Source Flexibility: Swap storage mechanisms, customize LLMs, and choose your databases. - Local or Hosted: Operate everything locally or use our hosted version for free (including…
2023 · vanna.ai
- 18CW
Clint is an open-sourced medical information lookup and reasoning tool. Clint enables a user to have an interactive dialogue about medical conditions, symptoms, or simply to ask medical questions. Clint helps connect regular health concerns with complex medical information. It does this by converting colloquial language into medical terms, gathering and understanding information from medical resources, and presenting this information back to the user in an easy-to-understand way. One of the key features of Clint is that its processing is local. It's served using GitHub pages and utilizes the…
2023 · github.com
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2019 · getguidelines.com
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2023 · retool.com
- 23AL
Hi HN! We partnered with the Atlas team to build a tool called AI Predict [0] that allows anyone to ask any question about the future and get a thoroughly researched, AI-generated prediction on how likely it is to be true. How it works: Atlas replicated a Berkeley paper [1] that showed LLMs could make predictions as accurate as the crowd. We’re using a mix of models from OpenAI and Anthropic, with information retrieval powered by NewsCatcher [2]. The system is live and fully functional, though it might struggle with hyper-local questions outside of the public domain (e.g., “Will I have…
2024 · aipredict.fun
- 24TA
Hi HN! As many of you, I've had a lot of fun playing around with LLMs the past few months and I wanted to show you what I've built. I made a trivia website using GPT3 a while back just to have something to play with. My initial interest was to see if I could get structured responses to build a UI around, and if I could get the LLM to refer back to what piece of text it used to create questions and answers with. The initial results were pretty good, but not good enough. Fast forward a few months, GPT 3.5 was released to the public and I was released from my work. I decided to pick this up…
2023 · trivai.app
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