YipitData | Sr. Engineering Manager | Remote [Hubs in NYC, Austin, SF, Miami]| Full time | https://www.yipitdata.com
YipitData is the leading market research firm for the disruptive economy, and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. We're also an Inc'd best workplaces for 3 years running!
We’re looking for a Senior Engineering Manager to lead our Analysts Tools team. This team of engineers develops a suite of tools empowering our 100+ YipitData analysts to ingest and organize data, automate client-facing deliverables, and power APIs to make our data available everywhere. This work allows us to generate and deliver insights to over 300 major investment funds, Fortune 500’s, and fast-growth startups in near real-time.
YipitData | Full stack engineer/Senior Engineer | Full time | NYC Onsite, Remote ok
YipitData specializes in sourcing and analyzing alternative data for over 100 of the top institutional investors in the world. We're a VC backed team of 90+ engineers, data analysts, and investment research professionals based in NYC (and a few remote).
We’re hiring a Full Stack Software Engineers to join our ReadyPipe Engineering team. ReadyPipe is our SaaS platform that enables clients to perform and scale their own web scraping by eliminating common challenges and roadblocks most companies face. It was built from our seven years of experience pioneering web data aggregation for the top global hedge funds and we’re now making our proprietary technology available to companies in corporate verticals.
Stack: Python/Flask+React/Redux | AWS CloudFormation+ECS | Redshift/Spark+EMR| CI Github+Travis
Please apply through https://grnh.se/9144eae91 and put "HN" or "HackerNews" in the "How you heard about this" box. Thanks! Feel free to ping me as well - James@
" If a person wants to use the WiSee, she would perform a specific repetition gesture sequence to get access to the receiver. This password concept would also keep the system secure and prevent a neighbor – or hacker – from controlling a device in your home. "
" Companies have many accounting tactics for reducing their declared profits – so if the tax is levied on profits, they will likely game the system. "
The solution for this is not taxing revenue, which as mentioned in other comments would destroy a lot of legitimate business models, but instead, improving the art of accounting. It suffers from the same plague of "large corporations with out-sized political power" and the sway of a lot of misaligned incentives. Putting in one stop-gap solution for another doesn't seem like the best way to fix the system.
Given that lawmakers are people, we will never have a perfect legislative system. Were we to somehow get a perfect, loophole free tax code, it will suffer death from a thousand papercuts. Lawmakers will get provisions that benefit their states at the expense of the others, and we eventually end up around where we are now. For example, they decide how you should calculate profits from revenue & expenses.
Taxing revenue not only limits methods that businesses can use to reduce their tax burden, but also limits opportunities for corruption or favoritism as compared to taxing profits.
I read the article and don't come to the same "generous" conclusion. You've got a visionary, well-respected, CEO running a very (by many, but not all metrics) successful business with a lot of runway. The result is analysis that runs from calculated, to wildly optimistic, to delusional. There are people afraid to miss the boat if Amazon conquers the world and people already counting their millions as they wait for what they assume is inevitable. Amazon has the benefit of being a very proven business with sustainable competitive advantages, but at the core, this is no different from any of the other speculative manias in financial history. Amazon shareholders could be right, they could be wrong - I'm not good at predicting these things - but they're definitely not generous. They're fearful, and greedy, and emotional, and human.
Hey! This is very cool, very fast. One thing I would suggest is the ability to specify a list of securities rather than a single security. In my experience, if you're going to test a general heuristic for trading, you're going to want to test it across as broad of a spectrum as possible to determine if it really has some predictive abilities. Obviously, this requires a lot more computational power if you're applying your rules to everything in the Russell 3000 rather than just a single security. The results would then be the composite of all trades across the securities.
I agree with the premise and it's a smart article, but the outcomes aren't mutually exclusive. You can recognize imminent change and thus plan for the future while still suing to protect a revenue stream. If it makes economic (both directly or indirectly) sense to sue, people will sue - regardless of future innovations they may or may not have in the pipeline.
Loved this post. Starts to convince people that Accounting really can be beautiful, in many of the same ways that software can be beautiful. It does tend to get overrun with terminology, edge cases, and other necessary issues given the consequences of ambiguity, but at the lowest level, accounting is just telling a story. Wonderful post!
YipitData is the leading market research firm for the disruptive economy, and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. We're also an Inc'd best workplaces for 3 years running!
We’re looking for a Senior Engineering Manager to lead our Analysts Tools team. This team of engineers develops a suite of tools empowering our 100+ YipitData analysts to ingest and organize data, automate client-facing deliverables, and power APIs to make our data available everywhere. This work allows us to generate and deliver insights to over 300 major investment funds, Fortune 500’s, and fast-growth startups in near real-time.
Feel free to reach out to me at James (__at__) yipitdata dotcom and apply via https://boards.greenhouse.io/yipitdata/jobs/4304936