Shinobidata
20+ years of data with clean presentation and zero clutter
What it does
Shiobidata provides research on 10,000+ US stocks — free. Full financial statements, 441 screenable metrics, 19 quant scores (Piotroski, Altman-Z, Beneish-M…), analyst targets, one-click SEC-sourced Excel exports. Screen in plain English: "undervalued midcaps with Piotroski ≥ 7." Or connect the MCP server to Claude/ChatGPT — paste your Robinhood positions and ask "did I beat the S&P?" 33 tools turn your AI into a portfolio analyst. Solo-built, no paywall.
Does the same job
all alternatives →
- SAStock Analysis Platform for Value Investors2024 · palmy-investing.com · ▲6
Hey, I've built this website to empower retail investors. In summary, at the moment there are: Worldwide stocks to research; Unlimited financial filings history and visualization (quarter and annual); Qualitative analysis (through AI); Stock quotes; Stock comparisons with integrated filing reader, industry comparison and valuation models; Stock lists (country, sector, city, industry); Stock news, calendars; Custom dashboards; Simple, fast watchlists; Stock screener where you can apply custom criteria through 240 listed key figures and decide wether to use the latest quarter or annual data.;…
- QTQuant, the AI stock trading analystOct 2025 · ▲8
Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application. The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative. What's inside: Portfolio optimization (including Dalio's risk parity approach),…
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 · 16d 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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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 · 16d ago · simedw.com