Alternatives
Products that do what Equity Research Desk Pack does
A desk in a box. Process, not a pick.
- 1AF
2018 · github.com
- 2QI
2017 · quantra.io
- 3IB
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
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- 5RD
2018 · github.com
- 6IP
To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020
- 7AA
looking for some feedbacks and areas for improvements
Sep 2025 · equity-analyzer.com
- 8IM
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
- 9
- 10IB
2020 · quiverquant.com
- 11HF
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
- 12RW
2017 · app.reportdash.com
- 13BA
I’ve been experimenting with a graph-based approach to a classic trading problem: why most dip-buying strategies can’t tell the difference between a temporary overreaction and a genuine structural collapse. Most systems treat a −5% move the same regardless of context. My hypothesis was that where a company sits in the market’s structure matters more than the price move itself. The engineering idea I built a knowledge graph of the U.S. public markets with ~207k edges across ~21 relationship types, organized into four layers: Operational: supply-chain relationships (SUPPLIES_TO, PRODUCES)…
Dec 2025
- 14SA
2023 · stockstack.ai
- 15
- 16WB
Mintlify Pro costs 250 USD per month. We wanted something similar (AI assistant and nice UI), but fully customizable and cheap. So we built GibsonAI docs in 1 day for about 50 USD. How we did it: Used Lovable for UI components + rendering MDX beautifully (Markdown stored in GitHub). Built an AI Agent for docs using Agno + Memori → personalized Q&A and “smart educator.” Stored embeddings in LanceDB and metadata in our SQL DB. Bonus: We can share our reusable design templates and source code so you can deploy on Vercel (or anywhere) and skip Lovable costs. Would love feedback on what features…
Sep 2025 · gibsonai.com
- 17MS
For years, I have struggled to understand my cash flow and save for the future. In addition to that, my wife has many credit cards and accounts that complicate matters. I am building a tool that connects all our accounts, helps us create a budget, and tracks and adjusts expenses on the fly. I am also sprinkling some AI magic on it for financial suggestions. I am looking for feedback on the implementation. More importantly, I am looking for more beta testers to improve the product.
2023 · financemadelovely.com
- 18
- 19IV
Hi all, Been a while since I've posted and in the time since I have created a trading journal website where you can submit and track your trades with the USP of tracking your outgoings too. There has been a huge rise in the number of retail traders (me included) and a lot of people now have the very real possibility of quitting their day jobs and trading full time. I want to help people do that! It's still in very early stages and I'm releasing new updates daily but would be very grateful to get some other peoples feedback! Thanks in advance and hope you're all having a good day! :D
2023 · trackyourtrades.co.uk
- 20
- 21NS
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
- 22BS
Built a free open source agentic CLI tool for financial modeling & analysis. Hadn't played around with real equity valuation modeling for awhile and wanted to build tooling to get myself back into the game. Bull.sh lets you query & store 10-Qs, 10-K in a local vector store to chat with them, build investment thesis from scratch or build full framework models through the CLI to export into excel. It's open source, just requires your own Anthropic API key and (optionally) AlphaVantage Free API key if you want save some tokens from scraping. Feel free to play around with it. Some ideas I have…
Jan 2026 · github.com
- 23
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…
19d ago · ninethirty.ai
- 24FF
I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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