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.
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.”
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.