The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Taggar Predicts In-House Developer Recruitment Will Be Obsolete by 2022
“And so five years from now, the grand vision would be To think about like running your own hiring process versus just using triple byte as being as outdated as hiring engineers to build a database from scratch versus just using MySQL or Postgres.”
Taggar: Autonomous agents will select dev tools, spawning a parallel agent economy
“The agents are going to go out and choose
Tools to use to build things, which is going to essentially create a whole economy of agents, like picking and choosing dev tools and maybe other like products and goods and services, who knows, but it will essentially…”
Taggar: AI agents may eventually establish their own economy and currency
“The whole idea of, like, the human money versus agent money, like, that's kind of where this probably goes at some point, is, like, the, right now the agents are transacting, if you have them transact, they're going to transact in human money, because that mak…”
Taggar: Never give personal AI agents access to emails due to prompt injection
“Do not give it access to emails would be my number one piece of advice or probably anything. Cause it's not clear how safe it is. And it's probably almost certainly gonna probably a lot of people being prompted injected by it right now”
Taggar: Model commoditization sets up AI app startups for fantastic year
“Gemini surge, especially over the last few months, just feels like it returns us to a world of where exactly that, like the models are all essentially commoditizing each other. And it's just like the application layer and the startups are going to set up to ha…”
Taggar: Incremental model gains make finding AI startup ideas difficult again
“The models themselves have incrementally improved this year, but there haven't been like major steps forward that have shaken everything up, which is, has a knock on effect. Many episodes ago, we talked about how it was It felt easier than ever to pivot and fi…”
Taggar: Rising AI software expectations force startups to maintain pre-AI hiring levels
“AI is going to reduce the cost of, like, producing the time to produce things, and so then the expectations from your users and customers will just go up, and you'll need to keep hiring more people to satisfy, like, the growing expectations. I feel like this y…”
Taggar: College students often extract better AI model performance than PhDs
“The technical expertise is now actually really like the missing piece for a lot of these things. And we consistently see, at least in YC, that college students are actually at the forefront of this stuff, like actually understanding how to use the models and h…”
Taggar: AI Is on Track to Design Chips Better Than Humans
“At some point, the AI will get good enough to just, like, design chips better than, like, humans can, and then it will just, like, eliminate one of its bottlenecks for, like, getting greater intelligence, and so it feels like that's already kind of, like, We'r…”
Taggar: OpenAI consistently pioneers breakthroughs but never maintains its competitive lead
“OpenAI seems like it is continually the one pushing the envelope, but they always seem to be The first ones to make major breakthroughs, but they have never been able to maintain the lead so far.”
Taggar: AI Co-Pilot Startups Get Paid Easily but Suffer Low Usage
“There's so much interest from potential customers to like want a co-pilot that it's actually quite easy to start getting like inbound leads if you pitch this.
And if it's even easy to get people to pay you money upfront, but what's really hard is to get them t…”
Taggar: Changing product direction based on investor feedback repels good investors
“So if a founder actually, like, actions on your feedback in sort of like a material way, like, it makes you less than like, if you're a good investor, I think it makes you less than likely to want to invest. You don't want to invest in someone who is relying o…”
Taggar: Every YC Startup Has an Apparent Fatal Flaw
“Literally in any YC batch, I could take every single company and like pick out some like fatal flaw. And like, you know that some of them are going to turn out to be worth like billions of dollars, but you can still do it.”
Taggar: FAANG Product Launches Rarely Kill Fast-Growing Startups
“Cause like, if you think about like, we're like scratching our heads, trying to find examples of times that like a fan company launched a product that killed a fast growing, successful startup. So like clearly more often than not, like structural advantage isn…”
Paul Graham: Optimal Corporate Structure Resembles a Holding Company of Autonomous Units
“He genuinely believed that the optimal structure for a giant corporation is one that's more like a holding company that's, like, composed up of lots of more autonomous units are each doing well, and each of those units has operational control and is, you know,…”
Taggar: Startups Should Not Scale Their Team While Finding Product-Market Fit
“You either want to be focused with the smallest possible team on finding product market fit, or you want to be Realize you have product market fit and just be in full on growing, scaling the team and making a functioning organization. You don't want to do both…”
Taggar: Gemini is more accurate than Perplexity for real-time queries
“Personally, I found it was better than all the other tools for that, and it was better than Perplexity on it, too. Like, Perplexity would be fast, but not always accurate, and Gemini was not quite as fast as Perplexity, but was always pretty accurate if I aske…”
Taggar: Post-Series A AI startups still require traditional hiring to scale
“Yeah, like, post-series A, it actually largely feels, like, the playbook is the same, and the companies might be smaller for the same amount of revenue, but it Feels it's entirely because they hit the revenue so fast and there's still just bottlenecked on how …”
Taggar: The 'Last Window to Get Rich' Logic Is Flawed Under AGI
“If this is actually the last window to make money and get rich, then you're basically implying that, you know, that we're going to get some definition of AGI or ASI, or whatever you want to call it. That's like a necessary condition for that to be true. Like, …”
Harj Taggar: Incumbent software companies underwhelm businesses seeking AI solutions
“Because, like, AI has captured the, like, the imagination of everybody, everyone, like, wants to know what's possible and are consistently underwhelmed by what, like, the established software companies can offer them, but they're open to, like, college student…”
Taggar: AI startups command higher pricing by selling work rather than software
“Things that seem like they were niche before AI, you can get people to pay you a lot, lot more money for because they're not just buying software, they're buying like work from you.”
Taggar: o3 follows rubrics rigidly while Gemini 2.5 Pro reasons flexibly
“Oh, three was very rigid, actually. Like it really sticks to the rubric. It's heavily penalizes for anything that doesn't fit like the rubric that you've given it. Whereas Gemini 2.5 pro was actually quite good at being flexible in that it would apply the rubr…”
Taggar: AI coding startups risk obsolescence from OpenAI o1's native reasoning
“I wouldn't go all the way and suggest they should pivot, but I do think companies that are building AI coding agents or AI program engineers are potentially have stuff to think about here, because it seems like O-One in particular is like outperforming on just…”
Taggar: Claude jumped from 5% to 25% market share in YC startups
“And some of the stuff that really stood out is Claude has, even just in six months, from the winter batch to the summer batch, has gone from, like, five percent developer market share to, like, 25%.”
Taggar: 15% of the YC batch adopted OpenAI's o1 before public release
“It seems like, or, 15% of the batch are already using O-one, even though it's not, like, fully available yet.”
Taggar: 100% AI accuracy will create winner-take-all software markets
“If they just on day one, you could be guaranteed a hundred percent accuracy, like as though you're just building a web app on top of a database, the barrier to entry to build these things goes way down. It's gonna be more competition than ever. And then it wil…”
Taggar: Non-engineers should not start companies solo without finding technical co-founders
“If you're not an engineer, I don't think you can do this, and I think you should really focus your time on trying to find a great technical co-founder to start the company with.”
Taggar: Failed co-founder relationships are YC's top cause of startup failure
“Failed co-founder relationships is really the number one reason we see startups fail here at Y Combinator.”
Taggar: YC is skeptical of co-founder pairings lacking common ground
“The kinds of teams we don't get so excited about are where the co-founders would never have met each other in sort of any conceivable universe. It's where there's a huge age difference, or they don't have any sort of mutual interest, or they just doesn't seem …”
Taggar: Co-founders should default to an equal equity split
“You will have to decide on what the equity split will be, and my default advice here would be you should split the equity equally between yourselves, and the reason is if this startup is successful, you will end up working on it for the next 10 years or more, …”
Taggar: Build Full Competitors if Incumbents Reject AI Co-Pilots
“Another old PG essay about if you, if you're trying to sell technology to someone, and they're not buying, like, see if you can just build a competitor, and so it's like, hey, if you're trying to sell, like fintech company, a copilot, and they're not buying it…”
Taggar: Foundation models will outcompete generic automation tools over vertical AI
“If it's like, Hey, like throw your data in here and we'll do like automations on top of it, like for everything, that's probably Hard to compete with whatever one of the foundation models might offer, but if it's like, hey, we're our, give us, like, your sales…”
Taggar: 'ChatGPT wrapper' meme benefited YC by filtering out trend-chasing founders
“Going back to like the chat GBT rapper meme again, I actually think that was great for YC. Because it meant we only got the people who are like tune, who could tune that out. And we're just like, hey, like either I'm just so interested in this technology, I do…”
Taggar: Academic and workplace success poorly predict startup performance
“You might think you could just look at how well someone has done in school or at work and assume success there would lead to success at startups. That's definitely what I thought when I first started working at YC in 2010 and began reading YC funding applicati…”
Taggar: Wanting to get rich is a legitimate reason to start a startup
“For example, it's become popular to say that you shouldn't start a company just to make money. That's considered a somewhat flimsy motivation, but I actually think it's fine to start a startup to become rich. Startups are one of the few ways to make life-chang…”
Taggar: Second-Time Founders Risk Becoming Lazy at Product and Sales
“Whereas a first time founder, the only way you're getting your first few users is having a really great product and being really great at selling it. And I think you can just get a little bit lazy on that front as a second time founder.”
Taggar: Investors soften feedback for repeat founders to protect referral networks
“And it's like when you're a second time founder, the investors know that you know more people. They don't want to give you bad feedback, right? Like they're incentivized to tell you nice things so that you'll continue being nice to them. Whereas when you're a …”
Taggar: VCs lack deep insights and know enough to be dangerous
“It's like, I think investors end up knowing just enough to be dangerous. And it's a job where you're often selling, so you're very confident in sort of how you articulate your opinions. But like, yeah, you don't actually get the deep insights because you're no…”
Taggar: Venture Investors Need Operational Experience to Develop True Founder Empathy
“I'm a pretty strong believer that operational experience is pretty important to have in investors, and the reason is, and I think this is another thing that made sort of Paul and sort of Jessica great founders of YC or great investors of Y Cominature is that t…”
Taggar: Founders Must Experience Functional Pain Before Hiring for a Role
“If you raise around prematurely, if you raise like ten million dollars before you've kind of gone through that pain, now you're under pressure to hire people, and you might not have a clear sense of exactly who you need, because every, you know, you keep using…”
Taggar: Supabase Database Demand Exploded as AI Agents Choose It by Default
“A database tool and like a knock on effect for that for YC company is Superbase has just seen like an explosion at the demand for databases, right? And the age was interesting is the agents are choosing Superbase as a default tool to like set up and host their…”
Taggar: Supabase Has Best Documentation, Driving AI Agents to Select It
“Like, because if you like go out and read the documentation online, like Superbase has the best documentation is reasonable for the agents to assume that that's like the best tool to use.”
Taggar: Devtool founders should design products from the agent's perspective
“Developing an intuitive fuel, like a hands-on fuel for
The agents, their limitations, their capabilities, and very specifically around what we're talking about here is like, what type of tools the agents work well with?
where do they get stuck?
And once you s…”
Taggar: Top 18-to-22-Year-Olds in 5 Years Will Have 'Off the Charts' Taste
“I wonder if, like, the best 18 to twenty-two-year-olds, like, five years from now will just have, like, off the charts taste and everything. Because they'll just be so much more prolific. They should be, right? Like, they should just be launching and touching …”
Taggar: Claude Code Lets Multi-Project Builders Actually Finish Half-Done Ideas
“Now I just think, like, you kind of, like, there's certain types of brains that just have, like, 10 branches going in their heads, but you never have enough hours in the day to actually, like, see any of them through, so they're always, like, half complete, an…”
Taggar: Half of YC's engineering team skips coding agent permissions
“It's about fifty-fifty on the YC engineering team.”