Alternatives
Products that do what Atlantis Data Solutions does
Widest set of free financial modelling data
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2024 · useequityval.com
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My main motivation was that I wanted to be able to drill down and filter across all the available stocks, look at the data for myself, and narrow down on the stocks I am interested based on my own sets of criteria, and make data-driven analysis for my personal investment strategies. I used PostgreSQL as the backend database for ELT data pipelines, and used Citus Data cstore_fdw for columnar compression for the final dataset. All financial data is coming from SEC Edgar, https://www.sec.gov/developer. I used Python for downloading most of the data. I also run the data load…
2023 · tesseractanalytics.ai
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finagg is a Python package and CLI that enables you to aggregate and update free financial data from a handful of high quality data sources all within your own SQL database. Here're some quick facts about it: - Implements nearly all of the BEA API, FRED API, and SEC EDGAR APIs (all of which have free and nearly unlimited data access) - Only focused on macrodata (no intraday data support) - Provides methods for transforming data from these APIs into normalized features that're readily useable for analysis, strategy development, and AI/ML - The most popular methods include getting…
2024 · github.com
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Hi HN, I built a website myfinsight.com that aims to make complicated company financials easy to understand. The problem: The go-to place for financial data such as revenue, sales, net income is Yahoo finance. However, their data is usually wrong and very limited. The numbers are hard to digest to get insight quickly. There are also numerous websites that provide much better data for a very expensive monthly fee. Solution: a website that provides free diagrams and charts that visualize important financial data, such as income growth rate by date, revenue breakdown etc. It is free because the…
Nov 2025 · myfinsight.com
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2020 · fluxo.ai
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There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data…
2022 · wizdata.io
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Start with the chart, then take a deep dive
Apr 2026 · atlantisdatasolutions.com
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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2024 · github.com
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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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2012 · datafiniti.net
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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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It's at http://finkin.com. The goal is to allow a developer to sign up in seconds, and within minutes begin querying data. It runs under https and stores no access information. From http://news.ycombinator.com/item?id=1431583, I realized that all those types of sites are not tailored to developers like the other simple APIs around the web are (i.e. flickr). I made mine as simple as I thought possible. From http://news.ycombinator.com/item?id=1676458, I realized that eventually it should be a scalable model where you pay pennies per the # of requests you make. Right now it supports many…
2010
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Hello HN, Lucas here. I’ve been working with BigQuery for ~5 years, mostly in large (petabyte-scale) environments. Over time we ended up spending a lot of money and engineering effort just trying to understand where costs were coming from, why and how to optimize them. At some point we decided to stop, leverage all our past experience and spend a full cycle building tooling focused on cost visibility and optimization. The main goal was to regain ownership of cost data and make it possible to understand our cost structure in under a minute, while aligning the views of engineering and FinOps…
Jan 2026 · cloudclerk.ai
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