We built a chrome extension that adds a live draft board to any fantasy football draft on ESPN. Download the chrome extenstion for free and enjoy the draft board for your league this season.
We also have a add on AI draft assistant that helps you decide on picks or strategize your draft plan. Try it out for free on the pricing page!
The problem is data gets into these mega-excels through all sorts of funky routes... and I really do mean funky :)
1. PowerQuery: this is defined statically in the notebook so is detectable by Pyoneer. But I don't know a ton about the integration in Python here. I imagine this is doable.
2. Manual data entry: Pyoneer can't detect this from a static Excel file, really - what's the difference between the static Excel sheet and data updates ever time? Oftentimes, users with a lot of manual data entry to "automate this in Python" by turning an Excel file into like a form. Generating a proper web app out of the Excel file would be pretty sweet!
3. Database output copied - aka, copy in a table. This one is sometimes pretty crazy - I've seen Excel workbooks that have SQL queries just copied and pasted into a random cell in the notebook, so you can copy that and run it on some archaic SQL server. And then copy the output back in...
4. Macros: runs an API call, or an SQL query, or pulls (and then formats) data from another Excel sheet. Then put it in the right place. This then requires translating Macros - which are a whole programming language of their own. This is actually pretty high-priority for us right now, based on early feedback from developers who are in the thick of it with big Excel files.
6. Custom plugins. Big finance shops build/buy plugins that pull in data all the time! We haven't really started investigating how to handle these.
5. Other workbooks: at large banks, there's an additional dependency graph of workbooks that rely on eachother across the org. It's epic. There's a single workbook that defines all market holidays, that's used for all excel files that do performance reporting. And then these performance reports feed into other Excel's (by way of direct references, but also by way of copy and pasting, but also by way of uploading/downloading through a database). Support multiple Excel files at once is something we'll have to tackle eventually!
So... there's a lot to do here. We're really early - so we're focused on two primary things right now:
1. Solving the most pressing pain points first. Hence the early launch so we can talk to more folks and prioritize better. I've got a reasonable idea since I've done so much of this work myself, but every finance shop does things different...
2. Leaving good TODOs when we can't translate something. Currently, we can't translate pivot tables or complex formulas -- but we generate TODOs for these so you can go back and fill them in with the Python skills you have (and maybe the help of ChatGPT).
We're aiming to just give you a Python script. So if we don't translate the data pull how you want... you can just edit the notebook :)
This seems interesting, but how does it work? An advertiser pays for a slot on your site? But what is the appeal for a user to be on your site looking at ads?
Correct, advertiser pays for the slot ($1-10) and the ad will be displayed on a billboard, which rotates through other submissions. You can filter it down via tags.
Eventually, users can subscribe to daily/ weekly/ monthly newsletter with their custom filters (tags) to get promotions for the tools/ services/ products they are interested in the most.
I remember the Million Dollar Homepage which was almost 20 years ago but the question is still valid. This is different, apparently less novel on the surface (selling typical slots, not pixels), so what or who is it for? I am curious too.
Any way do regional and or segment breakouts? The way I see your tool, it's a great tool for the back of the napkin-ers but as it is right now, it doesn't obviate modeling because you're still going to have to do the breakouts in excel.
Also, I think it'd be great to set your defaults assumptions for a stock to breakeven pricing, and allow users to adjust from there.
I see a tool like this being useful, but I think positioning it as a deep valuation tool is much less useful in the mindsphere of investors as an elite pen and napkin, which I think people would use.
You'd be surprised to learn then that most PE deals run on the back of literal pen and napkin models. In our process at my former firm, one of the largest megafunds out there, we would scout and model new opportunities using elaborate models, report them to the MDs who would then literally whip out a notepad or a napkin mid-presentation to decide whether the investment had potential. If it was in the grey zone, it was on us to demonstrate that it had merit, using more complicated modelling and analysis.
That doesn't surprise me at all, I've heard it's the same in private credit. I think a lot of the initial ground work that's done in due diligence and modelling is more to flush out any red flags than to inform the investment decision itself, and a model is only as good as its assumptions anyway...
Spot on. We used a bunch of screening processes to mine opportunities, then use models to weed out the duds, or to buttress our investment thesis before presentation to the MDs.
Responding with personal attacks is not a good look, especially when you're using slurs (as 'special' is, when used in this context).
It doesn't matter how bad or inapplicable the criticism is. If you do this, they've brought you down to their level, and regardless of who wins the resulting argument, you've lost.
We built a chrome extension that adds a live draft board to any fantasy football draft on ESPN. Download the chrome extenstion for free and enjoy the draft board for your league this season.
We also have a add on AI draft assistant that helps you decide on picks or strategize your draft plan. Try it out for free on the pricing page!