Hi HN, OP here. OpenInsider is great and inspired this, we just wanted to modernize the stack.
We focused on parsing Form 4s with more granularity (distinguishing grants/options from open market buys) and building a faster, mobile-friendly UI.
Would love to hear your feedback on the data accuracy!
The granularity on the transaction types is spot on. It's always been frustrating trying to decipher specific Form 4 footnotes on other platforms. The way you've categorized the specific grant types vs. open market purchases makes the signal-to-noise ratio much better. Keep it up!
Nice work. The finer-grained breakdown of Form 4 transactions (beyond simple buy/sell) is a meaningful improvement over OpenInsider. The UI also feels much more modern and usable. Curious how you’re handling Form 4 edge cases as you iterate on accuracy.
Congrats on the launch. OpenInsider is legendary but definitely shows its age.
Two questions:
How does your parsing latency compare to the raw SEC feed?
What is the business model? Will this granularity remain free, or is this the lead magnet for a paid pro tier?
Thanks! OpenInsider is absolutely the OG in this space.
To answer your questions:
Latency: We poll the SEC RSS feed continuously. The parsing logic (classifying the transaction types) takes a few seconds. So, while not 'HFT real-time' (microseconds), it is 'human real-time' (usually appearing on our site within seconds of the SEC publishing). Sufficient for manual analysis, but maybe not for algos front-running the market.
Business Model: We plan to keep the web interface (including the granularity and filters) free for public research. We believe this level of data transparency should be the standard.
Our plan for a future 'Pro' tier focuses on automation and convenience, such as:
Real-time Email alerts for specific tickers/insiders.
API access for developers.
Bulk CSV exports for backtesting.
The goal is to make the best research tool free, and charge for the infrastructure tools."
Hi HN, OP here. OpenInsider is great and inspired this, we just wanted to modernize the stack. We focused on parsing Form 4s with more granularity (distinguishing grants/options from open market buys) and building a faster, mobile-friendly UI. Would love to hear your feedback on the data accuracy!
The granularity on the transaction types is spot on. It's always been frustrating trying to decipher specific Form 4 footnotes on other platforms. The way you've categorized the specific grant types vs. open market purchases makes the signal-to-noise ratio much better. Keep it up!
Thanks so much — really glad the categorization is helping cut through the noise.
Nice work. The finer-grained breakdown of Form 4 transactions (beyond simple buy/sell) is a meaningful improvement over OpenInsider. The UI also feels much more modern and usable. Curious how you’re handling Form 4 edge cases as you iterate on accuracy.
Congrats on the launch. OpenInsider is legendary but definitely shows its age. Two questions: How does your parsing latency compare to the raw SEC feed? What is the business model? Will this granularity remain free, or is this the lead magnet for a paid pro tier?
Thanks! OpenInsider is absolutely the OG in this space. To answer your questions: Latency: We poll the SEC RSS feed continuously. The parsing logic (classifying the transaction types) takes a few seconds. So, while not 'HFT real-time' (microseconds), it is 'human real-time' (usually appearing on our site within seconds of the SEC publishing). Sufficient for manual analysis, but maybe not for algos front-running the market. Business Model: We plan to keep the web interface (including the granularity and filters) free for public research. We believe this level of data transparency should be the standard. Our plan for a future 'Pro' tier focuses on automation and convenience, such as: Real-time Email alerts for specific tickers/insiders. API access for developers. Bulk CSV exports for backtesting. The goal is to make the best research tool free, and charge for the infrastructure tools."
Awesome feature!
Thanks