The AI gold rush feels like it rewards teams who ship fast. Many teams are working on a 9-9-6 (9am-9pm, 6 days a week) schedule to keep up with the state of the art breakthroughs and features. Does this give teams an edge against their competition or is this slowly burning teams out. If you're building in the AI space, I would love to hear what your take is:
What works for your team and do you follow the 996 schedule?
Did following a 996 culture create more bugs or actually lead to breakthroughs and push you ahead of your competition?
How would you balance your life outside of work if you followed this schedule?
Making this post to raise awareness and ideally find a middle ground for teams that are currently growing and trying to keep up with the competition
Hey Product Hunt! I'm Waseem Daher, co-founder of Pilot, the largest startup-focused accounting company in the US. I'm a 3x founder (my previous ventures were acquired by Oracle and Dropbox) who's raised over $120M from Sequoia, Stripe, Jeff Bezos, and more.
Today we're releasing our 2025 Founder Salary Report with data from 1,800+ founders, and the findings might surprise you:
Founder salaries dropped 43% in the past year
AI founders are bucking the trend (paying themselves more)
Bootstrapped companies jumped 57%
Only 5.4% of founders pay themselves nothing (down from 9% last year)
We founders talk endlessly about burn rates, runway, and valuations but no one talks about what they pay themselves. It's time to change that.
ICYMI we just announced the Golden Kitties 2020 edition. We have seen so many amazing products launch during what has been a wild year and it's tough to pick. You can now nominate your favorites to win the coveted Golden Kitty trophy. Winners will be announced at our special live event hosted by Casey Newton on the 28th of January. You can also submit a video here
I've removed some apps because of the privacy setting requirements e.g. access to contacts when I don't feel its an essential part of enjoying the app's features. Curious to see the results.
These cute and furry creatures can sometimes tire people a lot. What are the issues that you have the most difficulty with regarding pet care and that you think there should be a solution?
I came across Deutsche Bank s latest report on AI, and it sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years?
The report highlights a fascinating divergence: the view from money vs. the view from science.
Money: the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable.
Science: the probability inferred from research papers and AI development models. Experts are far more cautious, suggesting the realistic probability is only 20%.
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