That's 2 major layoffs this week (Coinbase being the other). Is there an underlying common reason for this? And is it indeed AI-driven productivity as both companies claim?
There's multiple simultaneous narratives: the industry-wide one of slashing well-paid tech talent under the guise of AI productivity boosts, and what's actually going in at each company.
Cloudflare is an outlier because the company doesn't actually make money at present; their past three annual statements show net losses in the tens to hundreds of millions of dollars. Not hemorrhaging cash per se (their cash reserves alone could cover ~9 more years of losses), but still enough to warrant some cutbacks - and AI is the current scapegoat, thus they finger AI and throw folks out the door.
Coinbase's story is different: they're making good money, but their industry is inherently volatile. Again, recent volatility in the crypto markets related to...things...is dragging down long-term prospects for currencies, while ongoing trades are broadly just insiders doing insider things or exiting their positions for liquidity. Still, their share price is down 27% over 5 years and 18% YTD, so they also need to pump their share price so the executives get paid; layoffs are consistently rewarded by the shareholders, thus they axe part of their workforce for the bump and fingerpoint to AI.
Never take what a company says at face value, and always check their balance sheets. What Cloudflare did sucks but could be warranted to some degree; what Coinbase did has no justification whatsoever beyond naked greed.
> Cloudflare is an outlier because the company doesn't actually make money at present; their past three annual statements show net losses in the tens to hundreds of millions of dollars.
Their free cashflow is high; they're choosing not to report a profit. I don't think it's useful/accurate to say they don't make money.
Don't get me wrong, they may be doing a layoff to boost margins or enter GAAP profitability but the company revenue exceeds its operating cost by quite a bit.
> First quarter revenue totaled $639.8 million, representing an increase of 34% year-over-year
So they're growing 34% annually.
> Free cash flow was $84.1 million, or 13% of revenue, compared to $52.9 million, or 11% of revenue, in the first quarter of 2025.
Cash, cash equivalents, and available-for-sale securities were $4,163.9 million as of March 31, 2026.
...and they have $84 million free cash flow in one quarter, and it's consistently pretty good cashflow.
And they have $4b of cash or cash equivalents stockpiled. It seems pretty healthy to me.
Its quite filthy but it benefits them all to lay off lots of people to reset the wage rate in the market... Im sure we will see a wave of re-hiring when this stuff starts to blow over but many initially will be at a much lower wage rate.
Whenever someone brings up ZIRP, especially someone with a username like yours, it's an indicator that they have no clue what they are talking about and like to regurgitate things they read on the internet.
> Also the US economy is collapsing, that probably has some relevance.
I think there's also a certain permission structure that once one sufficiently large org does a big round of layoffs and doesn't get punished, a bunch of others will run the same playbook. We've seen this before -- back in 2022 when Elon fired like half or more of Twitter and the service didn't immediately implode, it gave other CEOs permission to do massive layoffs in the guise of "efficiency" even though the real reason was ZIRP was over. Now they're claiming it's because of AI when it's really that their margins are eroding because the overall economy is slumping and they need to offset AI spend.
Been testing these via their "pool" agent. It's fast, and the agent adheres to the ACP spec pretty well (better than codex, opencode etc.) so it's a good experience in Zed.
I've tried their "shimmer" site https://shimmer.poolside.ai (seems in the same vein of products as AI Studio/ Repl.it)
Either the harness or the models are very bad in it, I'd say they feels less capable than Gemma4-E2B in virtually any harness. The larger model would plan out some steps and never actually perform them even when prompted to several times. The smaller model actually got more done. My guess is it's the harness, since you've had a good experience. Haven't tried the pool cli yet.
Most of the comments here are clearly from people who haven't used GitButler. Try it out and it's a very sticky product, clearly superior workflow to vanilla Git.
In case anyone finds it useful, we (CodeCrafters) built a coding challenge as a companion to this book. The official repository for the book made this very easy to do since it has tests for each individual chapter.
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