StackMyAI
Compare AI tools and build your perfect AI workflow stack
What it does
Tired of juggling dozens of AI tools? StackMyAI helps you discover, compare, and combine 1000+ AI tools into powerful workflow stacks. Browse 12 categories from writing to coding, compare tools side-by-side with detailed feature breakdowns, and use our Stack Builder to get personalized recommendations based on your goals. Whether you're a marketer, developer, or creator, find the right AI tools and build optimized workflows in minutes. Free to use, no signup required.
Does the same job
all alternatives →
- IBI built an AI tools hub with 70 categorized and reviewed apps2025 · toolsverse.tools · ▲10
Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub. Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy. So I built my own: - Tools are categorized (e.g. writing, voice, code, automation) - Marked clearly as free/paid - Includes brief reviews, ROI notes, and usage tips - Fully searchable and updated daily - Working on tool ratings, comparisons, and a “trending” leaderboard Website: https://www.toolsverse.tools/ I’d love…
AI TOOL HUBJul 2026 · ai-tools-hub-ram.vercel.app · ▲10Discover, compare and choose the right AI tools in one place
More ai this month
the category →
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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d 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 · 27d ago · cactuscompute.com
