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Fastest commerce marketing teams are using AI to move at unprecedented speed. Check out the latest @SuperpilotAI case study with ALICE + OLIVIA's NYFW campaign 👉 superpilot.com/customers/ali…
SaaS may be dead (as a growth play, anyway) but capitalism sure isn’t. People are willing to pay for exceptional value when it comes to technology. The market will continue to pursue business outcomes, efficiency and cost-to-performance wins. The LEGO blocks are different in the AI era but the innovation race is only getting started.
Humans are a highly social species that sometimes works really hard to convince themselves they’re just fine on their own.
Part of figuring out AI is getting rid of outdated SaaS priors. One such thing was “it’s way easier to sell growth than efficiency”. Today, there is a lot of B2B interest in using AI to cut costs first - with more growth being a cherry on top, but in that order.
Igor Faletski retweeted
Great question. My rough framing is that AI has given engineering a 100x boost, product 10x, and design 5x. That imbalance creates real strain: engineers can merge lots of individual changes while the overall UX gets less coherent, and designers burn out trying to keep up.
Design is a deep craft. It takes thought and a view of the whole experience. We haven’t given designers tooling that matches how quickly we can now produce code.
That’s why we’re building Inspect for designers. The ambition is to give them the 200x boost. Then engineers can be the ones trying to keep up :)
Will on-site commerce search be a casualty or a net winner from agents doing more and more shopping on behalf of the users?
Seems that it's possible to argue either way.
Great #Polyglot unconference today! Here’s @johnboxall leading an awesome session on engineering anti-patterns in the AI era.
There’s a significant delay between the pace of consumer AI and what enterprise is *actually* using & being offered by vendors. It’s often the case in tech cycles but the contrast today is a lot more jarring.
Italian trains be like, let’s have 1000 people disembark and board in five minutes.
But then, here is a lake with a mountain with a picturesque town with a palazzo with sailboats. 100x rinse and repeat.
One thing dhh forgets to mention in his excellent keynote is that the “decades of chiseling code by hand” were a direct pre-requisite to AI now excelling at the same. We’ve all helped build this wonder. youtu.be/vDjW_dRyKXY?si=lQTy…
Igor Faletski retweeted
just got off the phone with a new engineer hire at a portco with a very wise insight
“AI has been replacing my job since I got a CS degree, yet I’m busier than ever - we can all just be more ambitious”
this is the same insight that the inimitable @JensenHuang has for us all
Igor Faletski retweeted
I think we’re dramatically underestimating how many decisions in normal software are only deterministic because inference used to be too expensive.
Igor Faletski retweeted
People rest when things are settled. Nothing about this is settled. Every week the map redraws itself and you either keep up or wake up irrelevant. That's exhausting and also the most alive I've felt in this industry. Both things are true at once.
In my first company, as a founder in early 20s with compsci background, I actively seeked out experts in GTM, sales, FP&A just to understand how those functions work.
Today I can get any specific question on those fields answered at a very high level of proficiency in a few keystrokes with Claude on Saturday morning.
What does it mean for human start-up exec expertise? It’s very important to be extremely current about where the edge in your field has been in the most recent 3-6 month window, and knowing how to practice it. Having a human network to bring in talented hires. Ability to execute, not just pattern match.
The opportunity is only bigger for the best of the best - and not there the way it used to be for those underinvesting in staying *very* current.