Company profile · 3 min read
attimet: a financial-market Prime Radiant
attimet is building a Prime Radiant thesis for applying mathematical intelligence to financial markets and asset management.
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
Published · Updated
attimet is selling a direction before it is selling a conventional product.
What it does
The company’s public description is deliberately spare. The YC profile calls it “Building the Prime Radiant” and lays out three steps: build the Prime Radiant, apply it to financial markets, then manage the world’s assets. The current homepage frames the idea through Asimov’s Psychohistory: applied intelligence for what comes next.
That is a thesis, not yet a buyer workflow. The checked pages do not show a public product demo, pricing page, API, or detailed description of what a customer can use today. That does not prove those things do not exist. It does mean a prospective buyer cannot evaluate the offer from the public front door in the same way they could evaluate a normal trading tool.
Why I’d look closer
The founder background is the clearest signal. The YC profile describes Kirthi Banothu as a former HFT engineer at Optiver and DRW who built systems for futures, crypto, equities and options, then led onboard sensor and machine-learning libraries at Argo AI. Xiaoyu Li is described as a former Optiver quant trader specializing in index and equity options market-making who later built a medium-frequency algorithmic trading team.
That combination makes the ambition legible: market structure, low-latency systems and applied intelligence. It does not answer the harder questions about mandate, risk, customers, capital, or what “manage the world’s assets” means in practice.
My editorial take
I would put attimet on a watchlist, not a buying shortlist. It may be interesting for a founder or researcher tracking ambitious financial-AI theses. It is not yet a public product a buyer can compare on workflow, price or integration. The next useful evidence would be a concrete Prime Radiant use case, a defined customer, and a clear boundary between research, advice and asset management.
Quick facts
| Field | Sourced detail |
|---|---|
| Product thesis | Prime Radiant applied to financial markets |
| Public buyer workflow | Not described in the checked pages |
| Founder context | HFT, quantitative trading, low-latency systems and autonomous-vehicle ML |
| Pricing | Not published in the checked pages |
| Editorial status | Watchlist until the public product and buyer boundary are clearer |
Sources checked
| Source | Checked |
|---|---|
| YC company profile | 2026-09-19 |
| attimet homepage | 2026-09-19 |
Cohort context
attimet is listed in Fall 2024. In our 2026-09-18 directory snapshot, 6 of 94 listed companies in that cohort have YC’s primary industry label Fintech (6.4%). This is a current-directory comparison, not an original intake count or a performance ranking. Nine-cohort dataset.
Public website snapshot
Observed 2026-09-19T16:14:49.860Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.
| Signal | Homepage observation |
|---|---|
| Product description metadata | Not observed in this response |
| Canonical link | Not observed in this response |
| H1 or H2 heading | Not observed in this response |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Not observed in this response |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |
Public observations · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.
About the author
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.
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