Workplace

'TC or GTFO' may be a sign that Silicon Valley’s money obsession has gone too far

Over a third of posts on Blind include someone’s total compensation. Is this promoting pay transparency for the people who really need it?

TC: 180k

“TC or GTFO” has evolved into a sign of the times in Silicon Valley.

Photo illustration: Cimmerian/Getty Images Plus; Protocol

In February, a PayPal engineer sought out a long-lost office love on the anonymous discussion forum Blind. At the bottom of the post, the engineer wrote: “TC: 180k.” In other words, this worker makes $180,000 per year.

Blind forum screenshotAll kinds of posts on Blind might include the poster's compensation.Screenshot: Blind


The PayPal engineer didn’t need to post their total compensation to find their cafeteria companion. But as they tell people on Blind who don’t post their salary, “TC or GTFO” — tell us your compensation, or get the fuck out.

The actual use of “TC or GTFO” was mentioned in less than 1% of threads on Blind through the first three months of the year, according to data from the company provided to Protocol. But maybe that’s because people on the platform have already gotten the message: “TC” was mentioned in 36% of threads throughout the first months of 2022, Blind told Protocol.

Blind execs and some tech workers agreed that including total compensation on posts has promoted discussions about salary transparency across companies. But both the company and tech workers also agreed that “TC or GTFO” has evolved into a sign of the times in Silicon Valley: Compensation means notoriety, and those with higher pay can (and do) tout their financial status on the platform.

“Unless you say how much you make, you're not going to be taken seriously, or your seniority — or lack thereof — would never be known to the community,” said Deedy Das, the founding engineer at Glean, an enterprise search product.

Das, who has previously worked at Facebook and Google, said he initially joined Blind around 2015 and noticed that users primarily used the platform to talk about HR issues and other workplace topics. But Blind became increasingly popular for tech workers to compare salaries. “A lot of the questions would be, ‘How much should I be getting paid?’ and ‘I get paid X at Amazon, but I heard people at my level get paid Y at Google,’” he said.



Over time, he said Blind posts that included compensation began to have less to do with pay. People would post about topics like work management and mental health, then throw their pay at the bottom of the post. Das said “TC or GTFO” highlights Silicon Valley’s obsession with pay and the need to show status through compensation. Writing total pay on Blind is now as natural as writing an email signature, Das said.

Das added that the discussion around compensation on Blind is flawed, because most of the people who actually share their pay on the platform are people who are proud of how much they make. “You only get to selectively hear about high comps,” he said. “So everybody has this underlying frustration that you're always not getting paid enough.”

Stefanie Howerton, an IT enterprise project manager at Quotient Technology, said constantly including total pay in posts, especially those that have nothing to do with money, starts to detract from other conversations. “After a while, it just becomes this — and excuse my French — but it just becomes this dick-swinging contest.”

“You can't ask a question without telling somebody what you make,” Howerton added.

People include their pay on posts covering a range of topics, from layoffs to dating in Seattle to deciding whether to switch companies. If people don’t feel they make as much money as other people posting on Blind, they might post the peanuts emoji as their total compensation.

Howerton added that tech workers’ obsession with including pay on Blind has done some good. Discussing compensation helped her realize that she was being underpaid at a former job, and it helped her understand how much more people with her same position are being paid at companies like Apple and Google. She makes around $93,000 annually as an IT project manager, but she noticed on Blind that larger tech companies pay people in the same position closer to $150,000. She said if she were looking for another job at large tech companies like Apple, she'd be able to use the information on Blind to negotiate for better pay in interviews.

Howerton said she’s willing to put up with people’s fixation on pay if it means she’ll learn how much she should be paid. While workers can hear about pay from other platforms, like Levels.fyi and Glassdoor, hearing directly from someone about their compensation is more valuable. “I'm willing to put up with the quirk of ‘TC or GTFO’ if it means that I can have the knowledge that I need to advocate for myself,” she said.



Still, even if Blind gives workers a general sense of how different tech companies pay their staff, that information should be taken with a grain of salt, according to Colleen McCreary, Credit Karma’s chief people officer. People might feel comfortable posting their salary on Blind because the posts are anonymous, but the people reading that information still lack context about who exactly the poster is and whether they are telling the whole truth about compensation.

“I don't think people tend to be the most honest about those kinds of things; I do think that there's a little bit of a brag factor that goes with it,” McCreary told Protocol.

McCreary added that she does not use Blind for a reason. Employees should feel comfortable asking their company tough questions about how their pay is determined and how often it’s reviewed. Even though workers use Blind to learn about other people’s pay, employers likely don’t make decisions on compensation based on conversations on the platform.

“We have employees who have asked [about Blind], and none of our management team is on there,” she said. “But what we do pay attention to is our employee surveys, we pay attention to attrition, we pay attention to recruiting and we pay attention to what employers are bringing up in public and private forums that we have internally.”

Kyum Kim, Blind’s co-founder and chief business officer, said Blind doesn’t necessarily want to foster a compensation-obsessed culture among tech workers, but the fact that everyone writes their pay is a sign that tech has a problem with salary transparency. “We're no way in support of only a money-driven culture,” Kim told Protocol. “But who benefits from not talking about it? That's my question. And I think the answer is pretty obvious.”

Kim added that he doesn’t want Blind users to fixate so heavily on pay in the long term. Over 80% of the people on Blind use the platform to evaluate a company before making a job decision, according to an internal survey, and Kim said workers should be able to learn about topics like remote work and employee resource groups — not just compensation.

“There are many other areas where we can initiate more discussion,” Kim said.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins