NinethirtyAI – A US equity research and analysis platform
Hi HN - I'm Yashu and I've been building Ninethirty for a while. The problem: I do my own research, and a variety of tabs open for screening, charts, financials and so on; and then a chat window where I'd paste numbers for an LLM to reason and analyse them. We built NineThirty to solve a bunch of these problems - * A screener that goes deep and is genuinely customizable - fundamental, technical, news, and event criteria in the same query, not three separate tools. Besides, the problem does not end with screening - (almost) instantly backtest to understand historically what stocks have come…
What it does
Chat with Dr. Market, your AI-powered Trading Copilot. Get help with stock analysis, building screens, and understanding market trends.
In the maker’s words, at launch
Hi HN - I'm Yashu and I've been building Ninethirty for a while. The problem: I do my own research, and a variety of tabs open for screening, charts, financials and so on; and then a chat window where I'd paste numbers for an LLM to reason and analyse them. We built NineThirty to solve a bunch of these problems - * A screener that goes deep and is genuinely customizable - fundamental, technical, news, and event criteria in the same query, not three separate tools. Besides, the problem does not end with screening - (almost) instantly backtest to understand historically what stocks have come up on the screen and their performance. * Company financials, sector views, heatmaps, events, seasonality, etc. the usual stuff * An AI assistant (Dr Market) that sits on top of this curated, processed data layer. Use it to validate a setup and it's working from the actual real time technical indicators, not a plausible-sounding reconstruction. This doesn't eliminate hallucinations. The hope is that when Dr. Market gets something wrong, it's interpreting the data badly rather than making up the data itself (or citing the wrong sources). Where it's early: coverage is US equities, and there are rough edges I know about and probably a few I don't. It analyzes; it doesn't give recommendations, and it's not advice. Free while I figure out what it costs to run and what's actually worth paying for. What I'd most like from HN is to try to break Dr. Market? Ask it something where you already know the answer and tell me where it's wrong. And if the screener can't express a screen you actually want to run, that's the feedback I want most. Thanks!
Does the same job
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This was more of a sandbox to play with Raphael and Flot than anything else but I think there are some interesting statistics in there. It'd be awesome to do this over time but I really don't have the spare time required.
- 1R13Radar – Real-Time Hedge Fund Portfolio AnalyticsNov 2025 · 13radar.com · ▲7
Hi HN, We’re a small team working on 13Radar.com, which we launched about two weeks ago after 4 months of development. I’m the founder, and together with the team we’re building a platform that tracks hedge fund portfolios in real-time based on SEC Form 13F filings. AI has been a major helper in our workflow. For a single webpage, we often consult multiple AI systems in parallel, generating different versions and comparing them side by side before deciding on the final design or implementation. More than 60% of the research, design, and coding involved AI assistance. For UI design we used…
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- IBI built a tool to find trading signals that aren't just random luckSep 2025 · hikaro.app · ▲9
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…
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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.
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