How AI Is Turning Figma’s Finance Team Into Builders
Praveer MelwaniSeema AmbleIvan Makarov
Figma’s finance team is building beyond analysis, using AI for collections and product replicas that test technical difficulty and moat depth during diligence.Melwani says headcount could fall a year from now if complexity stayed flat, but new products and acquisitions keep adding work as efficiency improves.Scaling local tools into shared infrastructure and producing audit-ready outputs remain key tests.
Tokenization, Agentic Trading, Harmonic: Robinhood's Mission to Expand Ownership with CEO Vlad Tenev
Agentic Trading has attracted more than 150,000 accounts and about 30 million daily tool calls at the last disclosure; Tenev expects sophisticated users to drive early activity, while infrastructure load remains an open question.Robinhood Chain’s DeFi-enabled stock tokens let developers build stock-linked NFTs and meme-coin pairs, supporting Tenev’s forecast that tokens could become a default route to US equities in underserved countries.
Vol.241 产业观察45|从读懂大脑到治疗疾病,脑机接口还有多远的路要走?
帕金森有创脑起搏器渗透率此前不到1%、近两年约百分之一点几,单例费用10万—30万元,凸显无创调控的降门槛机会;穹顶把设备由二十多个通道减至4或6通道,准备时间压到5分钟以内。闭环疗法仍须证明临床收益;未来三年,上市、无创脑机接口医保付费和医生主动开单将检验商业化。
20VC: OpenAI cut to $1.25T; Google rout; DoorDash buys Instacart
OpenAI’s proposed round shrank from $30 billion to $20 billion, with about $11 billion committed, as Rory compares its $1.25 trillion valuation with potentially public Anthropic at $1.5–$2 trillion.DoorDash’s reported $17 billion Instacart deal could combine cited 60% and 20% delivery shares, subject to antitrust clearance, while agents’ direct-order potential threatens platform take rates despite negligible volumes today.
The New AI Agents That Shop, Plan, and Gossip
David PawlanAnish AcharyaJosh Elman
Consumer agents may span general, work, multiplayer, and travel, but trust looms: 22% of roughly 3,600 group-chat messages cited it as the main fear.Shopify-enabled direct discovery could pressure aggregators, while agents may favor “clean APIs with great docs” over better products.Execution still differentiates at scale, though David Pawlan thinks rivals might cross that moat in “a year or so.”
Why India’s Next Tech Giants Are Hiding in Plain Sight | Paavan Gami
India’s early IPOs can expose public investors to venture-style compounding: Gami cites a roughly $350 million median valuation, 70% founder-family ownership, and category leaders listing at $600 million–$1 billion.His thesis hinges on compliance-driven consolidation, with 5–6% leaders potentially reaching 30–40%; Eternal and Meesho show contrasting routes through rapid delivery and low-price logistics, making market-share gains central to the opportunity.
Behind Latent Space: A Rare Look Inside the Pod | AIEi Shanghai
Shawn Wang’s $10,000 open-source challenge against a $40,000 software purchase drew 69 submissions, with roughly five he would pay for, built in a week.The customer-side economics can favor customization and integration that replace repetitive work, but maintenance is not zero; Wang sees vertical agents or specialized data as possible vendor defenses.
⚡️ The 2026 Software Factory Infra Stack — Zach Lloyd, Warp.dev
Code-defined factories give each product surface a versioned workflow, shared traces, and replaceable compute, inference, and harnesses.Warp reports PR cost fell from about $80 to roughly $15–$20, while throughput rose 40% last month without higher revert rates, citing cheaper triage and less redundant agent work.Replay validation of agent-proposed changes remains unfinished; Lloyd places the likely adoption floor at 5–10 engineers.
Inside fal’s $1.65B Series E & F Led by Sequoia & Bessemer
Molly O'SheaBurkay GürGorkem Yurtseven
fal’s founders cite $10,000–$20,000 in monthly individual generative-media spend; after quality improved, Veo 2’s $5 five-second clips attracted professional buyers, versus earlier models at roughly $0.30–$0.40.They argue application margins are “close to zero,” favoring compute-path innovators; fal secures scarce inference capacity ahead of demand, while automated ad testing remains unfinished.
Building Legal Agents When You Can't See the Data — Jacob Lauritzen, CTO of Legora
Basil ChathaswyxJacob Lauritzen
Legora’s edge is deep ownership of legal workflows, not access to frontier models.Client confidentiality blocks usage-trace access, so about three engineers, three lawyers and 100 legal engineers reconstruct evaluations; models handle roughly 60% of work well, but regressions persist.As routine legal fees face pressure, swyx argues clients will still choose Legora for a $400 million M&A transaction.









