Alternatives
Products that do what NinethirtyAI – A US equity research and analysis platform does
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…
- 1SA
2017 · stocknerd.com
- 2QN
2015 · quantnews.com
- 3MW
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.
2011 · burntbrunch.github.com
- 41R
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…
Nov 2025 · 13radar.com
- 5RH
2021 · github.com
- 6IB
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…
Sep 2025 · hikaro.app
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- 8YT
Hey HN! Excited to show off Yuzu, the stock market and Crypto API we wish we always had. We built Yuzu to solve a problem we had while working on a prior project: current market data APIs are not built to enable rapid prototyping and scaling without a significant amount of upfront data engineering. In our previous app, a portfolio tracker, we had to ingest 30 years of historical data for stocks, crypto, ETFs, and mutual funds just so that we could re-expose that data to our frontend in a more efficient way. The number of API calls we would have had to make otherwise have made the app…
2022 · yuzu.dev
- 9IB
I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…
Jun 2026 · terminal.tesseractanalytics.ai
- 10MW
2012 · livelystocks.com
- 11BBitmia▲7
Hello Hacker News, I'd like to share an investing/personal finance social news site I've pushed live a couple of days ago. It's based on the lobste.rs codebase, slightly repurposed to be more focused on discussion rather than link aggregation. I assume there’s a significant userbase overlap with HN since most of you who work in computing are well-positioned to retire early. There’s a running joke on /r/financialindependence that they are 99% software engineers. It's live at https://bitmia.com – if you’d like an invite, feel free to request one on the site. Hopefully…
2018
- 12
- 13HF
Hey everyone, we’re an ex YC team building retail-intelligence.ai where we suggest 5 trades to you every 6 hours. Our product maps out a strategy with you into logic trees, transforming it into custom signals, live dashboards, and automated alerts. We’re excited to bring a new experience to retail markets and am keen to see what strategies you have! You can get your recommended trades here: https://www.retail-intelligence.ai/
Jun 2026 · retail-intelligence.ai
- 14CCheergram▲15
http://cheergram.com Hey there everyone. I have been reading HN a bit here sans there but haven't ever submitted/commented before. (I am a stay at home mom) Anyway I had this idea a while back and had my husband help me build it. I tried to do most of the designs, though some are stock vectors. Anyway I'd love your feedback on anything that will help this business grow. Thanks so much.
2012
- 15IM
How it works (tech stack): -Built entirely with Lovabl.dev (no-code front-end + logic) -ChatGPT / Claude for research and inspiration -Powered by GPT-4 Vision to interpret charts visually -Hosted on Supabase for performance & caching It’s not meant to replace analysts — just to speed up how traders interpret data. I’m a designer exploring AI tools, and this is my first attempt to turn an idea into a functional product. Would love to know what you think.
Oct 2025 · quantify-ai.co
- 16AF
Hey HN! I've always been fascinated by financial markets. This month, I decided to build a tool to help with the research of stocks and cryptocurrencies. I'm using YFinance as a data source because it's free and provides a wide range of reliable market data. For sentiment analysis, I'm leveraging Google Trends to gauge public interest and sentiment over time. The tool, named Zenith, is a command-line utility with four main features: Market Analysis: Provides insights like moving averages, RSI, and volatility for selected stocks or cryptocurrencies. Sentiment Analysis: Uses Google Trends to…
2024 · github.com
- 17WT
I've been lurking on HN for years. You know the drill: interesting headline, 200+ comments, you dive in thinking "I'll just skim for 5 minutes"... and an hour later you're 36 chambers deep in a thread about memory allocation patterns in Postgres and you've completely forgotten what the original article was about. I don't just want a "summary" (which usually just shortens the noise). I want the meta-consensus: "What is the actual trade-off being debated? Who is winning the argument? Why does this matter?" So I built HNSignals. Think of it less like a "summarizer" and more like a Chief of…
Jan 2026 · hnsignals.com
- 18FF
Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…
2022 · factor.fyi
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- 20BA
Hey HN, For the last couple of months, we have been building an AI agent for continuous statistical analysis, and we're looking for feedback while it's still early in development. We call it BIGWIG - an autonomous agent that is specialised, and very good at, performing advanced statistical analysis, through long traces of iteration and reasoning. As it builds statistical models it also "emits" outputs back to the user that you can then interact with, iterate on and schedule for follow up analysis. While we're still in BETA, we've launched a public analysis site that showcases some of the…
2025 · askbigwig.com
- 21IB
Dec 2025 · github.com
- 22QT
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),…
Oct 2025
- 23SA
2023 · stockstack.ai
- 24NS
NVSTly is a social investing platform where traders can track, share, or copy trades in real-time with in-depth performance stats and extensive insights into every position. Follow top traders and receive instant notifications of their trades, or compete against the best and climb the leaderboards. With full Discord integration via our fastest growing finance bot on Discord. Coming soon: - Brokerage integration to automate it all and provide 1-click copy trading - Crypto exchange integration for automation - Paper trading feature - Trading league & competitions with cash prize pool - Our to…
2024 · nvstly.com
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