Intrinsiqq

What it does

Intrinsiqq is a stock analysis platform that pulls 10+ years of financials straight from SEC EDGAR XBRL filings, computes a quality score across 8 fundamental dimensions, runs a DCF valuation with sensitivity analysis, and grades dividend sustainability for 8,000+ US-listed companies. Full methodology documented at intrinsiqq.com/methodology. Free tier covers core analysis with daily lookup limits. Pro lifts the caps and unlocks editable DCF. Premium adds advanced portfolio tracking

Analyze any stock in 60 seconds. Quality scores, DCF fair value, dividend analysis, and 10+ years of financials for 10,000+ global stocks. US data from SEC EDGAR, always free.

Intrinsiqq is your all-in-one stock workstation. Analyze individual stocks or track your whole portfolio, all from SEC data, not opinions. Built for DIY investors who want data, not opinions. Join thousands of investors analyzing stocks with Intrinsiqq. 8 checks on valuation, growth, margins, and balance sheet strength. The same rules for every stock, computed straight from SEC filings. Three fair-value scenarios with every assumption editable. See what growth rate the market is pricing in, then decide if you believe it. Algorithmic estimates from SEC filings. Not a price target or buy/sell advice. Fundamentals, valuation, dividends and earnings in one place, with every number showing its…from intrinsiqq.com

• 
  Database for analyzing US companies, visualize using Apache SuperSet2023 · tesseractanalytics.ai · ▲113

  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…

• IM
  I made a free tool that analyzes SEC filings and posts detailed reports2025 · signalbloom.ai · ▲292

  (* within a few minutes of SEC filing) Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings. This was the result of almost a year long effort and hundreds of prototypes :) It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger. e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you! Some examples:…

• 
  Investorsexchange.jl – parse trade-level stock market data in Julia2022 · github.com · ▲136

  Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…

• 
  Vouch APIApr 2026 · vouchapi.com · ▲96

  AI equity research that proves it isn't lying

• 
  GeminIQMay 2026 · geminiq.com · ▲2

  Research Faster. Invest Smarter.

• 
  I built an open-source financial research terminal (SEC data and SQL)Jun 2026 · terminal.tesseractanalytics.ai · ▲5

  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…

• 
  Fundraisly▲1,537

  AI fundraising agent that finds investors and books meetings

  AI · Jun 2026 · fundraisly.com

• 
  Homebrew 6.0.0▲1,481

  Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!

  Dev tools · Jun 2026 · brew.sh

• 
  Performative-UI – A react component library of design tropes▲1,181

  Hi HN! I was super frustrated at apps like tiktok and wechat preventing me from saving or downloading the animated gifs, so I made a little tool to turn a screen recording into a slack-sized emoji. Hope you get some value from this!

  Life & fun · Jun 2026 · vorpus.github.io

• 
  Upstream▲976

  The inbox designed for humans and agents

  AI · Jun 2026 · upstream.do

• 
  Goldfish▲958

  Press Option. It knows your work and replies like you

  AI · Jun 2026 · goldfish.sh

• 
  I made Google Trends for Hacker News by indexing 18 years of comments▲822

  Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.

  Life & fun · Jun 2026 · hackernewstrends.com