
Helping founders cut noise and position to grow. Decade alongside KP, Insight, Redpoint, Meritech amongst others. Founder @Dakotomy / Former https://teapawt.org/t.co/cTAaBfEoh6
Napa, CA
Joined November 2014
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I wish this launch focused more on uniqueness, which is far more powerful than taste.
Objectively, much of the AI slop is far better than 80% of the lower half of designers a decade ago. We call it slop because it all looks the same, not because it’s inherently bad. If LLMs/customers adopt vectors of “taste” from a single dataset/infra it will further the very problem they’re trying to solve.
As for other industries, I think there’s a lot of value this product can bring.
We’re excited to introduce Taste Labs.
Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste.
And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners
AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design.
There are two sides to cracking this, the foundation model layer and the agent layer:
- We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments.
- We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs.
We want a future where AI feels right.
If you’re passionate about this mission, join us!
Dexter Dake retweeted
Anthropic’s analytics team quantified it: manually curated data context got agents to 95% accuracy, but that fell to 65% in a month.
We think every team can get 95%+ accuracy on self-serve analytics (and stay there) without enormous manual effort. That's what @getsphinx solves.
Optimism is hard to sell today, but here it goes.
I’ve yet to see AI replace a capable engineer or operator in any org.
I’ve also yet to see anyone produce anything meaningful on the first rev, that wasn’t absolute trash AI slop.
The middle management, “fat” layer, was going to be trimmed regardless. AI was just the PR excuse.
The “feeling” of replacement is real, but I challenge anyone with this feeling to put in the smallest amount of effort to code or produce an asset with AI. You will immediately feel safe.
You can’t simply prompt value. It takes tons of iteration, skill, technical understanding, and strategy to make a real asset for a business.
We’re entering a world of unlimited possibility. If you have an idea on how to give customers more value or a business more efficiency, there’s a place for you.
The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen.
Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation).
Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there.
Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI.
As a result,
1. The corporate ladder looks like the wrong building to climb.
Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more.
2. There’s a deep malaise about work (and its future).
Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire"
3. The mid to late middle managers feel paralyzed.
Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies.
4. The rich aren’t particularly happy either.
No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money."
I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here.
Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success".
Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.
It always amazes me how a well crafted PR attack can completely destroy a company’s value or candidate’s political chances. The idiocy that’s elevated cannot be countered with any amount of logic.
If you’re a first time founder be mindful you’re selling for shelf space:
Founders = the product
VCs = the retailer
LPs = the customer






