我建立了一个SaaS工具这可以通过分析组织图表中的LinkedIn数据来勤奋PE资金。我发现这对于理解交易团队资料的能力非常有用。例如，如果您想切换KKRorBX, you can actually see all of the Associates in that fund and look into what jobs / universities they came from previously.
The inspiration for this came from my frustration with LinkedIn's user interface (and severe corona-induced boredom). Would love to get feedback from otherPE投资者，可能有类似的研究需求。产品是完全免费的 - 这是Dev服务器的链接：https://listalpha-dev.herokuapp.com/test/dev-test…
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Comments (24)
应该考虑使用其他一些来源来构建产品。:)
That's exactly what I am thinking currently. I am just surprised that there are no tools out there to accurately profile funds in a consistent manner. I.e., how many associates are there at EQT inNYvs. Advent vs.KKR, etc.
There are a few general tools floating around that allow you to do this btw.
This sounds super helpful, would definitely use it
Well I liked reading this post and your sample below for whatever that is worth. Thanks
This is brilliant. Plenty of firms out there would love to hire someone with skills like yours.
I'll give you 9x ARR with a 2 week exclusivity period for diligence.
Thx,
Bart. P. Fuchs
大声笑等到你看到我的卖出side pf rrEBITDAadjustments...
It's interesting - what's the source data? Is this a LinkedIn API? Or are you pulling keywords from the website or something?
I'm not sure it's worth more than passing fancy to me as someone at a fund, but I could see it being pretty interesting to LPs, maybe vendors - esp. if you expand the capabilities as mentioned above
The source data is basically LinkedIn API with some filtering and logic applied to it on top.
我刚刚得到了演示 - 随时在这里尝试：https：//listalpha-dev.herokuapp.com/test/dev-test10
Previously worked on the LP side briefly and would disagree and say it wouldn't really be helpful in that sense. In every deck from a GP, you'd see a broken out org chart, that already looks exactly like that and also includes each persons background info. I can see it being useful for someone trying to recruit at a specific firm in the LMM. With mega funds, it may not be as useful since the org chart would be massive and teams there can be very silo'd based on industry.
When you were in that role, did you care much about the recent leavers from the fund? E.g., if the place lost 4-5 partners they would obviously not advertise that in the glossy book, however would be very helpful for an LP to know in the context of team continuity, etc.
当评估我们一直寻找的基金时，这一点非常重要。一些经理愿意对此进行预先解决，但我已经看到这是直到后期才发现的东西。因此，可能是一个有趣的用例，用于在LMM和MM资金，但我也无法想象为这样的东西付费。如果我们想知道任何重大的营业额，我们会问他们。而且，如果他们说谎，没有说，它仍然会在参考电话中出现，而LinkedIn上的一个简单过滤器可以看到以前在公司中的人完成这项工作。
我认为这是非常有趣的，但是价格需要很低。作为勤奋的一部分，您无论如何都需要进行个人资料，但是作为传球的外观，这很好。
在技术方面，t上有linkedIn的API拉帽吗？
What are your thoughts on pricing? high level ranges would be useful...
就API卷而言 - 存在一些局限性，但是可以通过API密钥的逻辑和管理来解决所有局限性。有效地，您可以从成千上万的地方拉出任何想要的东西...
Pricing for fund products is generally done based off of AUM and number of users. Some people charge per data pull, but I wouldn't do that here. Just do some market research of ballpark prices for things like Addepar or other finance focused platforms, maybe even mystery shopping. But I feel like you're better off bespoke here since willingness to pay is much higher for a 10bnFoF比低AUM的MFO。
这是太棒了!说到fintech SaaS,我磨破king on a product too that tracks job data for publicly traded companies. Can be used to help predict new hiring / headcount expense. https://www.thetainsights.com. We should connect!
lets chat!
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