TYCOON STOCK MOGUL stock analysis
Understand how a company makes money before you invest in it
What it does
Most stock analysis tools give you data. Tycoon gives you understanding. Before you invest in any company, you need to know how it actually makes money not just by what the numbers say, but the mechanism behind them. Tycoon visualizes business models in 3D, turning complex financial structures into clear, immediate visuals. See why McDonald's is really a real estate company, why Apple's margins are structural, why some businesses compound forever. No finance degree required. Just clarity, fast
Does a similar job
all alternatives →- IBI built a website to create financial models for any stock online2024 · useequityval.com · ▲287
HowTheyMakeMoneyDec 2025 · howtheymake.money · ▲18See how companies really make their money—in one chart
AlphadashJul 2026 · alphadash-ai.vercel.app · ▲6Understand what actually matters for your stock portfolio.
- SMStock market analysis2016 · ▲9
https://www.forestpin.com/cse/ This is still experimental and is a different way of analyzing stocks in the long term. We consider Dividends, Rights Issues, Bonus Issues, and Splits to calculate the value of the share. This gives a more realistic view than simply looking at the share price variations. We reinvest cash from dividends in the same stock and sell existing shares to execute rights. It's a simple calculation but it gives a much better perspective of the stocks in the long term than simply looking at the share price. You can select a stock symbol or click on…
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d 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 · 28d ago · cactuscompute.com
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app