AethirexAI
Pre-market news sentiment for stock traders powered by AI
What it does
AethirexAI scans 1000+ articles daily, scores each headline Bullish, Bearish, or Neutral, and delivers pre-market sentiment ratings, Polymarket crowd positioning, and breaking-news alerts to Discord. Built by AI and business students. Free tier available - Pro unlocks full ticker coverage, EOD recaps, and immediate breaking news.
Does the same job
all alternatives →- APAI-Powered Stock Market Analyst with Global Coverage2024 · decodeinvesting.com · ▲51
We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive…
- ATAI that summarize news and analyze potential stock impact2023 · wocstreet.com · ▲10
Hi Everyone, I was frustrated with the terrible news reading experience (Paywall, advertisements) so I created a free tool that summarizes the latest news articles and analyzes the potential stock impacts. This experiment has saved me so much time to help me understand what might be more important than others. It's completely free, no ad whatsoever. However, AI is a blackbox so take the rating (positive, negative, long-term, and short-term impact) with a grain of salt. It may have picked up some nuances within the article to give a rating and you might not agree with it. Please let me know…
- AAAI analyzes Earnings calls for profit2023 · ▲10
I have been working on this AI that analyzes earnings report line by line and highlights texts based on the sentiment Here is a direct link to some of the popular stocks' latest earnings analysed with AI Meta Platforms [ link in comments ] Apple, Inc. [ link in comments ] Tesla, Inc. [ link in comments ] The green highlights are positive, and the red ones you can see if you scroll are negative statements I also made a tab on top where you can see, individual statements made on margin, revenue, and growth Hope you guys find it helpful, I'm always happy to take feedback or any more data you…
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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.
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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
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com