See the stock trades your representative is making

Hacker News

Hey HN, I am the creator of senatestockwatcher.com and im finally happy to say that the same data that is filed from the House of Representatives is now live for everyone to watch, report against, and use. https://housestockwatcher.com When Senate Stock Watcher was released, the US was in the midst of an election year and after the COVID market crash the SEC had opened some investigations on 3 Senators for insider trading allegations. My interest in politics and finance lead me to build that website, but the number one question I always got was "where is the houses' data?" The House of Reps exclusively files their transactions reports in PDF forms that vary wildly in quality and format, so OCR was not a trustworthy and tenable solution. There is a supporting platform for the community to contribute to this dataset so that it can eventually be 100% complete. To date, I have transcribed over 690 transactions. There are literally hundreds of thousands more to go. If you would like to help on this front - you can also go to: https://contributor.housestockwatcher.com This data is available, totally open, in both JSON and CSV format so that people more savvy than me can uncover trends and patterns.

Visit product View on Hacker NewsApr 5, 2021

Share card

Actual performance

90points

28comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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: ide, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, exclusive · Missing: plus, intuitive, reviews

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: trading, way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

20%20% predicted probability of success on Product Hunt, 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.

Correct prediction on native model

Similar products

StockInsider34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track Congress, Buffett & Insider Stock Trades

Indie Hackerscommitment-side-project

Stock Vision Lab42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Start making better trades with Ai

Indie Hackerscommitment-side-project

I Built ChatGPT for Congressional Stock Trades43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Built ChatGPT for Congressional Stock Trades

Hacker News2

Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making explainability algorithms more robust with GANs

Hacker News2

Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making a Cypherpunk Loot Derivative

Hacker News4

Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making your standups more joyful with Zest

Hacker News4

My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Q&A with Neal Stephenson on making the Metaverse himself

Hacker News5

Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making IBANs More Memorable

Hacker News2

Your Expensive Lawyer Is Making Mistakes64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Expensive Lawyer Is Making Mistakes

Hacker News13

Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making of an HTML5 cube timelapse

Hacker News4

Browse all products Analyze your launch