Как строить продукт, если завтра тебя убьёт Claude / Codex

Bubble peak — 1983

Bubble peak — 2000

No bubble

Bubble peak — 2028?
The technology won. Most PC makers did not.

The network was built ahead of demand. Google and Amazon grew up on it.

Built from profits, not debt. The money went to the two platform owners.

The fastest platform in history — and the most expensive build-out.

Share of US adults using the technology
May 2026 round → IPO price range. Multiples shrink as revenue arrives
Products on top of models are priced at 8–44× revenue. Investors pay for revenue, not promises
Кто платит за дата-центры

Есть ли выручка и польза

weekly users
pay
ask <3 questions a day
developers on Claude Code (est.)
weekly Codex users, Jun 2026
Claude Code run-rate, Feb 2026
Сколько ИИ уже в вашем портфеле

AI-linked share of market cap
Mega-cap tech + chips
AI-linked small caps
of S&P 500 returns since ChatGPT came from AI stocks
After the 4 November elections, data-centre construction became an issue for governors and Congress.
in states where new governors promise a pause
* extend pauses already in force
of Americans say AI is moving too fast
chip index (SOX) on 5 November, the day after the election
Now politics — not only money — can stop the build-out.
CoreWeave bond yield
capex growth, 2027 → 2029 consensus
of planned capacity in states promising a pause
turbines on order vs 60–70 GW built a year
schematic: cost of a fixed level of quality, indexed
$1T revenue a year, $200B capex — and operator stocks went nowhere. The money went to those above them.
of company spend on applied AI still goes to the labs — for now
ChatGPT and GPT-4. Big labs build the models
A product on top of a model. Winners broke through and owned a channel
AI for accounting, logistics, sales, marketing. Already a red ocean
Products that survive once models can do the job themselves
revenue doubled, and it’s profitable
bankruptcy, October 2026
standard deal: $125K for 7% + $375K uncapped SAFE
typical Demo Day cap, W23 → W26; ~10 companies at $100M
The founder knows the industry from the inside — years in accounting, logistics, medicine. Not only code.
Knows where the customer is and can own that channel. That is how Cursor, Midjourney and Lovable won.
Knows what happens to the product when models learn to do it themselves.
Don’t wait for the top. If a hot round lets you sell, sell some.
Where the unit economics already work — not where the story is loudest.
In the public portfolio the index has already done the buying for you.
Keep a reserve for 2027.
D.A.V.E. started as the assistant that runs our own companies. Then other founders asked for it.

Lovable builds an app from a prompt. D.A.V.E. does the actual work: sites, dashboards, CRM, mail, reports — on your computer, in your tools, on a schedule.
One desktop agent. The best engines underneath. One brain on top that remembers you.

switch engines in one chat — on your own subscription
Task: build a finance dashboard from HubSpot, office mail and 5 files — then act on it. Same model, Opus 5.5 High.
Less screen time is the whole point: the agent finishes the work, you approve.
D.A.V.E.
Hermes