Over the past few weeks, we uncovered even more value we can deliver to our users at Vetted, so we took a quick step back, adjusted course, and leaned all the way in.
When we started building Vetted after years in crypto, my vision was crystal clear: this had to be the orchestration layer for domain-level expertise.
The real MVPs are the practitioners who’ve poured their hearts and souls into their craft. Their judgment, taste, and intuition are irreplaceable. Only they can look at something in their field and instantly know, with a depth no one else can match, whether it’s truly excellent… or not.
That truth has always been, and will always be, our thesis.
What evolved in our thinking is a sharper focus on the experts themselves:
How do we keep them motivated and satisfied to participate from day one, onward?
What are their real incentives?
We’ve always seen the experts as the supply side, the ones bringing the irreplaceable judgment. But what became clear is that we needed to focus more intently on the demand side: making their value more apparent and unavoidable by embedding it directly into real business processes and critical workflows. Only then can we give them the right incentives to participate and stay.
After intense focus these past few weeks, our path forward feels clearer and more purposeful than ever.
Excited to share more about this!
Chapter 1 is forming right now.
200+ senior practitioners have already applied.
So if you’re tired of your expertise being free, this is the room.
Apply as a founding expert → https://t.co/oIXDynZJUu
You can probably tell if someone's work is good within minutes of reading it.
You've also watched someone unqualified get hired because they had the right connections. Nobody lost anything when it failed.
Your expertise saw both clearly. Both times, it didn't count.
That's the asymmetry. The people who know have no stake, and the people who decide have no signal
Thinking of hiring as prediction under uncertainty changes everything.
How predictive are the signals we're actually using?
Who'll actually thrive in this role, in this context, with this team?
These questions leads to domain experts.
The best judges of talent are the people who've done the work.
They understand what the role demands and what the candidate brings well enough to forecast fit.
That's the sharpest signal that exists.
Currently it sits outside the hiring process or gets buried in referrals no one is held to.
We are changing that by building the infrastructure where expert judgment carries real consequences.
Being right compounds. Being wrong costs something.
Your eye for talent becomes a real earning position.
Billions spent on hiring tools changed nothing.
Collectively stepping up and shaping the standards for how we validate and reward quality makes the change.
How Vetted works, explained simply enough for a 10-year-old:
You need the best soccer player for your team but you've never played soccer. You could guess. You could take a friend's recommendation. You'd probably be wrong.
Now imagine real coaches help. They know the game, watch the players carefully, and bet their own money on their pick. Good picks earn rewards. Bad picks cost them. Over time the coaches with real judgment rise to the top.
That's Vetted. But for hiring.
Experts put real money behind their picks. Right calls earn. Wrong calls cost. Companies only get recommendations someone was willing to bet on.
Hiring never had a golden age. The failures are structural and the post-AI market is accelerating them.
Hiring is hard to solve because it is human at its core with real randomness built in. Framing it as prediction under uncertainty changes the optimization target. The question shifts from filtering out "nos" to identifying real "yeses."
That reframe surfaces the core variable: signal quality.
A hiring signal is fundamentally a statement of trust. "I trust this decision." The question becomes: what makes that trust warranted?
Vetted's answer: domain expertise with economic accountability, verified against real-world outcomes, with aligned incentives for the experts who produce the signal.
Founding experts build reputation from day one. They shape the standards their Guild will use. Higher earning potential once the protocol scales.
200+ applications received. 100 spots.
The signal we're betting on: the judgment of someone who's done the work and is willing to stake on it.
We started with the pain.
Then we followed The Constraint at every single turn
- Not enough signal → need domain experts who actually know what good looks like.
- How to extract honest signal → economic accountability. Staking, slashing.
- Open markets are noisy, anyone can bet → peer-gated entry. Credibility at the gate, not just capital.
- How to sustain it → B2B. Build a signal trustworthy enough that companies pay for it.
- How to retain experts → reputation, rewards, authority, compounding network effects.
- How to make it deterministic → feed outcome data back. Every hire strengthens the next prediction.
Part 2 (thread)
Theory is cheap. Execution is the test.
Chapter 1: Testing. 100 founding domain experts across engineering, product, design, marketing, sales, ops, finance.
They set the standards. They review candidates. They define what "qualified" means in their field. They stake conviction on their assessments.
The goal: test whether structured expert consensus with real stakes and real outcome tracking produces measurably better hiring predictions than the status quo.
But even before outcome data compounds, the baseline product is already differentiated. Companies posting jobs into pre-vetted candidate pools evaluated by domain experts is a better product than any job board offers today.
How we're thinking about @Vettedprotocol this week:
Expert markets and initiatives to scale real expertise are moving fast. Different approaches, different execution, but the signal is clear: expert judgment is extractable, structurable, and more valuable than ever.
AI keeps improving at breakneck speed. But it still takes a sharp human eye to tell whether the output actually moves the needle or is just convincingly wrong.
We're testing something specific: can the right mix of expert curation, community, layered incentives, and compounding reputation produce a hiring signal that's materially better than what's out there today?
The incentives are deliberate. Rewards for accurate vetting. Real skin in the game, a share of first-year salary when someone you endorsed actually gets hired. A reputation score that grows with proven judgment and becomes its own earning multiplier.
This is the bet. The whole phase is designed to test it with clean data. Prove or disprove it. No assumptions left standing.
No virality needed. No hype cycle. Just signal.
We're onboarding 100 founding experts right now.
Applications are coming in stronger than expected, but we're being deliberate with selection, treating this as research, not another launch.
The right 100 matter far more than rushing the first 100.
What if the people best qualified to judge talent could build a public, verifiable track record of being right, AND earn from it?
We launched Vetted a week ago.
Two questions keep coming up:
"Are you a prediction market?"
"Is this InfoFi for hiring?
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The answer is more interesting than either. Here's how we actually got here. | Part 1 (thread)