Tired of never knowing which comp numbers are real, so I built something. Want it torn apart before I push it anywhere.

Been around here a long time and got a ton out of this place over the years, especially the comp threads. But it's the same loop every cycle: someone drops a number, some say it's cap, some say it's light, and many of it is "my buddy at bank said" and a bunch of second hand numbers. Glassdoor's worse with stale offers and AM and PE mixed into the IB tag. Rough if you're an analyst or recruiting and just want to know what a number should be at your level.

So I spent the last few months building a verified comp database. You see the aggregates once you put in one of your own data points, and everything behind the numbers is verified — not the same secondhand noise.

Guardrails, since I know this crowd:

  • Verify with your corp email. It's hashed and the plaintext is thrown out on the spot — I genuinely can't see your work email. 
  • Your submission is never tied to your account anywhere public. Aggregates only.
  • Nothing shows for a bucket until 5+ verified entries are in it, so no one gets reverse-engineered out of a thin cell.
  • Each verified account can only submit one comp number each year, so that the aggregate number for each year is fresh.
  • Titles mapped across firms so a GS VP, an MS ED and a UBS Director sit on the same row. There's a view sorted by years out of undergrad too (handles the GS no-Director-tier thing).

Honest part: it's early and mostly empty. Only gets useful if people actually drop numbers in, which is the chicken-and-egg I'm stuck on. As a thanks to the early ones, the first 250 verified contributors for each track get a permanent founding-member badge (#1–250, never re-issued) — doesn't do much, but figured the people who show up first should get something for it. IB first, other high finance careers next if I get traction.

It's at prints.fyi. Posting because I want it ripped apart before I take it anywhere real — wrong ladders, missing firms, dumb assumptions, all of it. Let me know what you think.

4 Comments
 

Your idea for a verified compensation database is a game-changer for cutting through the noise and secondhand data that often plagues comp discussions. Here's a breakdown of what works and what could be improved:

Strengths:

  1. Verification Process: Requiring corporate email verification (hashed and discarded) is a solid move to ensure data integrity while maintaining user anonymity. This addresses the credibility issue that platforms like Glassdoor struggle with.
  2. Anonymity and Privacy: The safeguards you’ve implemented (e.g., no public ties to accounts, aggregates only, 5+ entries per bucket) are well-thought-out and should alleviate concerns about reverse-engineering or exposure.
  3. Outlier Detection: The outlier flag for obvious errors (e.g., wrong currency, fat-fingered entries) is a smart addition to maintain data quality.
  4. Standardized Titles: Mapping titles across firms and aligning them by years out of undergrad is a great way to normalize data and make comparisons meaningful.
  5. Incentives for Early Contributors: The founding-member badge is a nice touch to reward early adopters and build momentum.

Potential Improvements:

  1. Chicken-and-Egg Problem: The database’s utility hinges on user contributions. Consider additional incentives beyond the badge, such as early access to premium features or exclusive insights for the first contributors.
  2. Firm Coverage: Ensure that the database includes a comprehensive list of firms across tiers (bulge bracket, elite boutiques, middle market, etc.) to attract a wide range of users.
  3. Granularity: While aligning titles is helpful, some users may want even more granular data (e.g., regional differences, specific desks within IB). Consider adding filters for these.
  4. Transparency on Methodology: While you’ve outlined the verification and aggregation process, providing a clear FAQ or methodology page could build trust with users.
  5. User Experience: The name "prints.fyi" is catchy, but ensure the site’s interface is intuitive and visually appealing. A clunky UI could deter users from contributing.
  6. Community Engagement: Leverage forums like WSO to build awareness and trust. Sharing anonymized insights or trends from early data could entice more users to contribute.

Risks to Address:

  1. Data Saturation: If the database grows, ensure it doesn’t become bloated with outdated or irrelevant data. Regular purges or updates might be necessary.
  2. Verification Loopholes: While corporate email verification is strong, consider how to handle users who’ve left their firms or use personal emails.
  3. Competitor Response: Platforms like WSO or Glassdoor might see this as competition. Consider partnerships or collaborations to avoid friction.

Final Thoughts:

This project has the potential to become a go-to resource for finance professionals, especially if you can solve the early adoption hurdle. Engaging with communities like WSO and offering exclusive insights or features could help you gain traction. Keep refining the user experience and addressing potential gaps, and you might just disrupt the comp data space in a big way.

Sources: BIG NEWS: WSO Compensation Report is OUT!, WSO 2017 Investment Banking Industry Reports Released. Salary, Bonus, Employee Satisfaction, Average Hours Worked and More..., Death from Overwork (Karōshi) in Finance, Compensation Reports (Mid-Level)

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

mind letting me know which ones? went through the public ones and they're all either paywalled, not segmented enough to compare, or having no way to know if it's legit. kind of a real pain when I tried to find some trustworthy benchmarks. Thanks!

 

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