I see a pattern with AI companies. They always try to solve a really hard and not very useful problem. It's the same as with self driving car companies ten years ago: If you believe self driving tech is ripe for commercialization, the reasonable thing to do is something capital intensive and a special case where the technology most likely to succeed. For instance, heavy trucks automatically following others in format…
What's working for YC companies since the AI boom
81–90 of 121 posts
Re: What's working for YC companies since the AI boom
#82I see a pattern with AI companies. They always try to solve a really hard and not very useful problem. It's the same as with self driving car companies ten years ago: If you believe self driving tech is ripe for commercialization, the reasonable thing to do is something capital intensive and a special case where the technology most likely to succeed. For instance, heavy trucks automatically following others in format…
The other thing people have been trying to do is build general agents e.g. Manus.
I just think this misses the key value add that agents can add at the moment.
A general agent would need to match the depth of every vertical agent, which is basically AGI. Until we reach AGI, verticalized agents for specific real issues will be where the money/value is at.
Re: What's working for YC companies since the AI boom
#83Re: What's working for YC companies since the AI boom
#840 consumer products is wild. I know SaaS has taken over from a bang for buck perspective, but this seens like a too-narrow approach by YC.
A too-narrow approach after Apple beefed it? Nobody knows how to bring AI to market yet but OpenAI, Anthropic, and Google. Long shots are one thing, but all the ideas I've heard for b2c AI so far are mostly more like pipe dreams. Look for a Zynga play once the field starts opening up for that in maybe a year or so, would be what I'd try to do.
You seem unfamiliar with the space, there are plenty of players outside of OpenAI, Anthropic, and Google bringing AI to the consumer space: https://a16z.com/100-gen-ai-apps-4/
Consumer AI is arguably doing better than enterprise where 99% of the spend is poorly scaling undertakings that don't deliver on even 1/10th of their cost.
Re: What's working for YC companies since the AI boom
#85I'm curious how many startups started making revenue after Seed and decided to defer an A round. I've had a couple companies reach out to ke claiming that they're close to breaking even at Seed, but I have my doubts.
Re: What's working for YC companies since the AI boom
#86Earlier quoted context omitted.
I sit on an AI evaluation committee for a huge law firm (It's just a regular old consulting gig) - we get so much inbound from (mostly kids) folks trying to build wrappers for some aspect of legal workflow, but behind the scenes thomson reuters is slowly adding everything they're going to need to software they have been using for 10 years now.
Can confirm. One of my best friends is a senior engineer at thomson reuters and they are focused on that.
Re: What's working for YC companies since the AI boom
#87I see a pattern with AI companies. They always try to solve a really hard and not very useful problem. It's the same as with self driving car companies ten years ago: If you believe self driving tech is ripe for commercialization, the reasonable thing to do is something capital intensive and a special case where the technology most likely to succeed. For instance, heavy trucks automatically following others in format…
Congratulations, you just reinvented the railroad.
Re: What's working for YC companies since the AI boom
#88> Obviously, if one of these funds gives you a term sheet, it’s a no-brainer. It isn't a no-brainer. Many founders in the new era are weighing bootstrapping, seed-strapping, and VC money without a clear answer. If you can see a path to growing MMs of revenue with little need for staff, you may just not go do a follow-on round.
Just raising as much money as you can when you can from even great firms is how so many founders get themselves in big trouble down the road and reduce their exit optionality or introduce deathly signaling risk. But if you can take lots of secondary to derisk and build that nest egg I guess have at it
Re: What's working for YC companies since the AI boom
#89I see a pattern with AI companies. They always try to solve a really hard and not very useful problem. It's the same as with self driving car companies ten years ago: If you believe self driving tech is ripe for commercialization, the reasonable thing to do is something capital intensive and a special case where the technology most likely to succeed. For instance, heavy trucks automatically following others in format…
> heavy trucks automatically following others in formations for long drives. Congratulations, you just reinvented the railroad.
The railroad is an amazingly low cost way to move tonnage, if you’re going from a place where the railroad stops to another place where the railroad stops. There aren’t really companies that _could_ be using rail and aren’t.
But it just isn’t cost effective in many cases once you add in last-mile costs. If we built more rail (politically infeasible), you might see more usage but ultimately you still suffer from needing at least one locomotive per train.
Re: What's working for YC companies since the AI boom
#90Earlier quoted context omitted.
A too-narrow approach after Apple beefed it? Nobody knows how to bring AI to market yet but OpenAI, Anthropic, and Google. Long shots are one thing, but all the ideas I've heard for b2c AI so far are mostly more like pipe dreams. Look for a Zynga play once the field starts opening up for that in maybe a year or so, would be what I'd try to do.
"after Apple beefed it?" ... what? Apple's inability to improve their OS is somehow an indictment of B2C AI offerings in a general sense? You seem unfamiliar with the space, there are plenty of players outside of OpenAI, Anthropic, and Google bringing AI to the consumer space: https://a16z.com/100-gen-ai-apps-4/ Consumer AI is arguably doing better than enterprise where 99% of the spend is poorly scaling undertakings…