wa

wallstreetlocal – View investments from the world's biggest SEC filers

Hacker News

wallstreetlocal – View investments from the world's biggest SEC filers

Hello Hacker News! My name is Anonyo, and I am a seventeen-year-old from Southeast Michigan. This is wallstreetlocal, my passion project for the last year. The United States Securities and Exchange Commission (SEC), forces institutional money managers whose portfolios surpass $100 million to quarterly update the SEC website with their latest investments. These money managers, known as 13F (the form type of the report) filers, are the biggest investors in America, and the law forces them to publicly reveal their investments. The problem I found was that SEC filings are cumbersome to find and view. To remedy this, wallstreetlocal saves and formats SEC data by bulk in an easily accessible format. Other websites do the same thing wallstreetlocal does, but wallstreetlocal places an emphasis on stock data. You can compare prices over time, view gains, and even download the data yourself to make any conclusions you wish. For as many stocks as possible, wallstreetlocal provides accurate, recent data to accompany the filings. As of current, there are 850,000 companies in the search database, 30,000 stocks in the stock database, and about 50 filers queried (equates to a couple million lines of JSON, requested by myself alone). By exploring the website, you can see the resources I used, check out some notable money managers I listed, and download any data that suits you. All for free. I plan to open-source this project someday, but I just wanted to get it released for now. The stack uses FastAPI for the back-end, and Next.js for the front-end. The back-end is hosted on a VM using Docker for the different microservices, and the front-end on Vercel. I made this project to better democratize SEC filings, and also to get some experience on my hands. I love computers, and one day hope to change the world through startups. In the comments, I'd appreciate any and all advice, as well as feedback on how to improve the site. Thanks.

Share card

Actual performance

5points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, 000 · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: computer, dock, new · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Wa
Wallstreetlocal – View investments from America's biggest companies70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wallstreetlocal – View investments from America's biggest companies

Hacker News299
Wo
World's Biggest Crossword App38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

World's Biggest Crossword App

Hacker News4
Wo
World's Biggest Time Capsule36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

World's Biggest Time Capsule

Hacker News1
Wo
World's Biggest Time Capsule36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

World's Biggest Time Capsule

Hacker News1
Decipher
Decipher

Decipher Orchestrates All Your Investments

BetaList
My
My Biggest SideQuest So Far42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Biggest SideQuest So Far

Hacker News2
WealthCheck
WealthCheck49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your investments, one view. Strategy. Performance. Control.

Indie Hackerscommitment-side-project
I
I made the biggest 3D illustration library in the world42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made the biggest 3D illustration library in the world

Hacker News1
Sh
Show HN IRL (Mountain View, California)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN IRL (Mountain View, California)

Hacker News5
Hy
Hyperlapse View of Hong Kong Protests44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hyperlapse View of Hong Kong Protests

Hacker News2