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Comments (60)

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  thedougd
  What would also be very interesting is a graph of relationships and movements. Let's see just how incestuous the boards really are, and what's going on with serial CEOs who move from one business to the next.
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  hliyan
  Given this is failing due to HN hug of death, might I suggest that you do a periodic batch, save the results and serve static?
• chollida1
  Nice work.I remember giving this task to a summer co-op 10-12 years ago. it was alot harder to scrape the edgar site then and gather all for form 4 filings without the new api call first interface and the XBML markup in 10-K and 10-Q filings.
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  Nuzzerino
  Getting “literally who” vibes from the list of execs that were listed with a job title but not a company name.Mobile browser, if that makes a difference (maybe one of the people on the list helped me downsize as well at some point without me realizing it).
• aayushkumar121
  This feels like the start of a “people layer” for public companies—almost like a Bloomberg terminal but focused purely on executive movement.Curious if you’ve looked at second-order signals yet (e.g. clusters of execs moving across the same companies)?
• karmelapple
  Great proof of concept!At the top it says:> 2,100+ > CEO, CFO, Board, and other executive changes tracked in the past 30 daysCould you add a little metric there such as how many companies are being tracked, and perhaps how that compares to the previous 30 days, or 6 months ago, or 12 months ago?Maybe a graph showing how many changes happen each month, so we can see when things are more volatile or not.
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  WA
  Nice idea. Small thing: the categories are pretty much fixed. If you have to abbreviate a never-changing category like "Consumer Defen..." in a widget, your design doesn't work in this aspect.
• artembugara
  You can also check any signal from publicly available sources using tools like CatchAll.For example, "CEO and CFO appointments at US public companies in the last two weeks" found 142 records [0]You can also set up monitors to get updates.[0] https://platform.newscatcherapi.com/catchall/example/gtm--ex...
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  abstracthinking
  Interesting, you should save part of the data to do some caching and avoid api requests for old positions.
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  itissid
  Interesting. How do you yourself use this(I am assuming of course you built it out of a need to want to have to track this data)?
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  eddy_cammegh
  How does the comp extraction work? 8-K prose has no standard format so curious whether you're running it through an LLM or using a rules-based parser, and how you handle amendments where the actual figures show up in a later filing.
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  tristor
  I think one of the interesting things here is that many senior executives make similar base pay to very senior ICs. The primary compensation difference is in their equity compensation, where executives get massive PSU/RSU packages, while senior ICs get much more modest packages. A senior IC may have 30-50% of their compensation as stock, while a typical senior executives may have as much as 97% of their compensation as stock.
• mtam
  Is the equity piece one-time or yearly grants? I think it is adding up yearly salary with one-time equity grants. Also, how about bonuses?
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  baxtr
  Nice job! Is there a way to double click on any name to see more details on the person like previous positions or current compensation?
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  djfobbz
  The site fails to load...it just gets stuck in a fetching state. Another downside of vibe programming.
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  arikrahman
  Says it's unable to respond at the moment.
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  gbibas
  You hit on something that AI can be really good at, which is shining light on corporate activities. Salary and movement are great, and interesting, but this could also help parse things like entry and exits into business markets where companies often quietly add or remove things from their filings. Keep going.
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  htrp
  did you write the SEC parsers yourself or use oss/off the shelf tech?
• leobuskin
  What's the backend? I'd recommend to migrate such project to the edge (Cloudflare, etc)
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  infecto
  Fun project but meh on subscription. This data already exists in much better detail including full network graphs of people and many additional data points. Financial data is a hard problem because it’s not only hard to offer something new but also your only real consumer unless novel data is going to be retail.
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  Thoko14
  Interesting part will be what do we read out of that data
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  mikedillion
  “Real time”
• peerscope
  [dead]
• dilberx
  [dead]