9:23 p.m. In a minor miracle, two out four of my children are asleep right now. That means I can start pounding away on this application much earlier than I had anticipated.
What we’re doing is putting in a series of objects that take PubTrawlr to the next level—far beyond it’s current capabilities. This is the biggest proposal I’ve ever put together. And the biggest team I’ve ever assembled. We’ve recruited some NLP experts from a real heavy-hitting computer science school. And I signed on the biggest non-profit funder of a certain content area in America. Once the proposal is in, we’ll share more about it, but for now, just know that it’s over 100 pages and counting, with some of the densest, but most exciting technical writing I’ve ever done.
I’ve been influenced by two books late. Winner Takes All by Anand Giridharadas has really forced me to question so of the techno-utopian ideas that I’m guilty of espousing. And, paradoxically, The McKinsey Mind by Ethan Rasiel and Paul N. Friga does the exact same thing, but from a different angle. What are the data and assumptions behind our work? And, how can we make simpler methods better?
10:57. How the hell am I only on page 25?
11:53 I referenced Russell’s Teapot when talking about research gaps. Was that too much?
12:03. Okay, I finally finished the methodology section, so this might be able to go faster—though I still have to cut four pages out of the commercialization portion…
1:43. Maybe it’s done?