Liron Shapira Profile picture
Aug 21, 2022 26 tweets 15 min read Read on X
Braintrust (@usebraintrust) is one of the highest-profile attempts at a Web3 use case.

With $123M raised, investors say it's a decentralized network disrupting Upwork.

My analysis shows it's a centralized staffing agency juicing up growth metrics.

Who does your brain trust?🧵
Braintrust presents itself as a manifestation of @cdixon’s “insight” that Web2’s take rate is Web3’s opportunity.

So how exactly is it able to operate with a lower take rate? The answer will shock you…
Braintrust's home page proclaims: You can keep 100% of what you earn.

It neglects to mention that's after subtracting a 10% take rate. Oops.

Some Braintrust investors, like @packyM, level with us about the 10% take rate. Other investors, like @variantfund's @jessewldn, don't.
Braintrust’s 10% take rate isn’t necessarily low. It's the same as Upwork’s take rate for similar kinds of contracts.
Maybe Braintrust wants us to compare their 10% take rate to that of a high-touch recruiting agency.

It's low when compared to a recruiting fee of 20-50%.

But how exactly does Braintrust expect to undercut the recruiting agency business model?
It's up to Braintrust to prove out a business model with lower recruiting costs.

Instead, they’ve focused on expanding their network and growing top-line revenue.

Sources tell me they currently operate like a venture-subsidized staffing agency.
Braintrust touts revenue growth here: info.app.usebraintrust.com

Note they’ve opted for a cumulative graph; the revenue-by-month curve would be flatter.

Still, the total amount companies are paying for job contracts and fees has grown from about $5M/month in Jan to $10M/mo in Aug.
Interestingly, despite the recent 2x revenue growth, the market cap of the BTRST token has been flat or down.

It’s currently $175M, down 76% from last year’s ICO.
I wonder how many recruiter salaries currently get subsidized by Braintrust’s venture funding.

LinkedIn shows 248 employees, but many are just network participants.

If Braintrust keeps charging industry-low fees, it’s not clear how they’ll keep affording recruiter salaries.
How is a blockchain token supposed to help Braintrust sustain a recruiting operation with lower fees?

According to their white paper, here's what the BTRST token provides:
⬜️Governance
⬜️Bid Staking
⬜️Career Benefits
Braintrust's #1 claim about the BTRST token is that it attracts contractors who appreciate having network governance rights...

Yet there’s been no serious on-chain voting to date.

A core team member even admitted that Braintrust's on-chain voting feature isn’t a priority.
Does important governance still happen off-chain?

Kind of.

The Braintrust community recently “voted” on a proposal to partner with Kunai, a non-blockchain developer contracting marketplace: snapshot.org/#/usebraintrus…

The decision appears to have had little community involvement.
At the time of the vote on Kunai, Braintrust’s network had about 45,000 registered members.

Only 27 wallets voted, a microscopic fraction of the community.

Those 27 votes all gave unanimous consent. Very normal.

Is this what living in the Network State feels like, @balajis?
The next claim about BTRST is “bid staking” (a feature not yet live).

If you're applying for work, bid staking lets you agree to punish yourself with a financial loss if you don’t show up to a scheduled interview.

This idea… doesn’t require a blockchain. I’ll leave it at that.
The final claim about BTRST is “career benefits”: They incentivize you to take a course, and in the future they’ll give you some kind of special perks.

But to the extent these benefits make any business sense, they could obviously be matched by Web2 competitors like Upwork.
Investors think the key to disrupting traditional recruiting is incentivizing referrals with BTRST tokens.

Where’s the evidence this drives below-market costs?

Sources tell me most recruiters are paid market wages in fiat, including half the names on the referral leaderboard.
Braintrust claims to have more transparency than its Web2 predecessors.

But juicing revenue by partnering with existing Web2 agencies and subsidizing recruiter pay isn't transparent.

Ironically, Upwork offers a more transparent public breakdown of their revenue and headcount.
What have we learned about $BTRST?

⬜️ Job seekers hardly use it
⬜️ Recruiters hardly use it
⬜️ But Braintrust uses it to paint misleading narratives about take rates, ownership, and transparency

The tokens aren’t helping build a winning business as claimed in the white paper.
Web3 proponents like @packyM love pointing out that a talent marketplace is a real use case and potentially a real business.

And they’re right: copying Upwork is a real use case, and can be a sustainable business.

It’s just not a Web3-enabled use case or a Web3-enabled biz.
A wide range of reputable Web3 investors poured over $100M into this project.

Do investors know there’s no community voting? Do they know how much staffing is subsidized?

Typical of Web3, a poorly-articulated business model justified a sky-high valuation.
Braintrust still has potential to get profitable before funding runs out if they swallow their pride.

Forget the white paper. BTRST tokens are no more than a marketing gimmick.

Best hope may be to rollup (centralize) many agencies like Kunai and drive operational efficiencies.
The key takeaway of my analysis is how incapable blockchain is at helping companies succeed.

I can assure you the next Web3 company I analyze will be the same. There are fundamental reasons why blockchain is devoid of practical applications.

It's a shame that smart people are still getting fooled by Web3's #HollowAbstractions.

Thankfully, a growing number of tech folks are speaking out that blockchain technology doesn’t have any practical applications.

Those are the brains to trust.
If you like getting disillusioned with Web3 "use cases", check out my thread about @Helium:

And my breakdown of @Shopify’s ill-conceived NFT “tokengated commerce” feature:

@packyM @variantfund @jessewldn Funny exchange where @gilbert brings up the 10% take rate to @adamjacksonsf.

From this @AcquiredFM episode: acquired.fm/episodes/web3-…

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More from @liron

May 23
🤔 How did Farcaster, a small crypto/Web3 version of Twitter, just raise $150M at a $1B valuation?

Dune Analytics says they have 45k daily active users, which is microscopic.

But even that number is MASSIVELY inflated by spambots.

How & why I think @a16z is siphoning money 🧵Image
Image
Image
What kind of user-generated content is being posted to Farcaster?

Basically imagine reading through a crypto-themed Discord server, but reskinning the interface so it's like you're reading Twitter.

I saw a trickle of content from real users, and spambots using generative AI 👇
Why did VCs like @a16z think $1B is an appealing valuation for a startup whose active user base is comparable to that of a niche Discord sever?

Are we suddenly in another crypto bubble, where everyone is a paper unicorn again?

I think there are 3 explanations…
Read 18 tweets
Oct 7, 2023
Dario Amodei's P(doom) is 10–25%.

CEO and Co-Founder of @AnthropicAI.
“I often try to focus on the 75–90% chance where things will go right.” Image
From today's @loganbartshow, worth a watch:
Read 5 tweets
Jul 14, 2023
Marc Andreessen (@pmarca)'s recent essay, “Why AI Will Save the World”, didn't meet the standards of discourse. ♦️

Claiming AI will be safe & net positive is his right, but the way he’s gone about making that claim has been undermining conversation quality.

🧵 Here's the proof: https://t.co/2o3gUgmuqXtwitter.com/i/web/status/1…

Image
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1. BULVERISM

Marc indulges in constant Bulverism:

He spends much time labeling and psychoanalyzing the people who disagree with him, instead of focusing on the substance of why he thinks their object-level claims are wrong and his are right.en.wikipedia.org/wiki/Bulverism
He accuses AI doomers of being “bootleggers”, which he explains means “self-interested opportunists who stand to financially profit” from claiming AI x-risk is a serious worry:

“If you are paid a salary or receive grants to foster AI panic… you are probably a Bootlegger.”
Read 36 tweets
Jun 22, 2023
Thread of @pmarca's logically-flimsy AGI survivability claims 🧵
Claim 1:

Marc claims it’s a “category error” to argue that a math-based system will have human-like properties — that rogue AI is a 𝘭𝘰𝘨𝘪𝘤𝘢𝘭𝘭𝘺 𝘪𝘯𝘤𝘰𝘩𝘦𝘳𝘦𝘯𝘵 concept.

Actually, an AI might overpower humanity, or it might not. Either outcome is logically coherent.
Claim 2:

Marc claims rogue unaligned superintelligent AI is unlikely because AIs can "engage in moral thinking".

But what happens when a superintelligent goal-optimizing AI is run with anything less than perfect morality?

That's when we risk permanently disempowering humanity.
Read 10 tweets
May 18, 2023
Incredibly high-stakes claim from OpenAI’s alignment team lead.

If he’s wrong, he’s a killer.
The former safety lead at OpenAI isn’t confident in the tractability of the problem.
OpenAI, like other AI cos, act like they don't need stricter assurance of any hope of alignment.

They act like burning the remaining time to superintelligence is an acceptable move.

Just because this assumption is normally not questioned, doesn't mean it's not fatal if wrong.
Read 5 tweets
May 18, 2023
Important debate happening between @sama and @ESYudkowsky via their respective podcast interviews:
Sam's interview with Bari Weiss: podcasts.apple.com/us/podcast/ai-…
Eliezer's interview on @loganbartshow:
Read 4 tweets

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