NinethirtyAI
A US equity research and analysis platform
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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!
HN · launched Aug 18, 2026 · 7 upvotes (top 59%) · 0 views
Niche: investment and equity research platforms · 226 launches, 13 in the last 7 days ▼ -24% · Explore this niche →
Category and tags
- Fintech
- Analytics & BI
- Prosumer
- AI feature
- Commercial product
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More like this: all 226 launches in investment and equity research platforms →
Could you build this?
Partial While building a financial dashboard UI with an LLM chat agent is straightforward, providing accurate equity research requires high-quality, normalized financial datasets and SEC EDGAR parsing pipelines that can be costly and technically intricate.
What it would actually take: A production version requires a Next.js/React frontend with charting libraries (like TradingView Lightweight Charts) and an agentic backend using LangChain or LlamaIndex. The hard part is ingesting, reconciling, and streaming low-latency real-time market data alongside structured 10-K/10-Q financial statement filings and handling high-fidelity numeric calculations without LLM hallucinations.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 516 launches clear the similarity bar, closest 8 shown.
Attention rank: #257 of 517 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 293 days after the earliest competitor.
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