LLM Model Explorer & Recommender
Find the right LLM model for your needs table and chat Agent
What it does
Comparing LLM models is hard—so we built an interactive table and AI chat agent to simplify finding the right one. Filter by capabilities, cost, and more, or let our Model Recommender guide you to the perfect match. Built for us, shared with everyone.
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- FTFind the Best LLM for Your Needs2024 · github.com · ▲33
- IBI built an open-source AI data layer that connects any LLM to any dataOct 2025 · github.com · ▲18
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
LLM Query Builder By WellowsNov 2025 · wellows.com · ▲15Find exact queries to track AI search visibility
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 19d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 21d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 29d ago · cactuscompute.com
Source: Product Hunt launch ↗
Launched alongside, March 2025
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Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai
