Luca Ferrari × Molly O'Shea

Bending Spoons’ edge is an integrated operating model that standalone owners cannot economically reproduce.Its 50-plus proprietary technologies, nearly 1,000-person core team, and debt-funded permanent ownership support claimed annual savings above $100 million and $4 million revenue per core Spooner.Airtable’s approximately $1.3 billion enterprise value reflects the underwriting test, while AI startup valuations and unmeasured AI capabilities remain key risks to monitor.

Harry Stebbings

Instinct’s $1B raise at a $10B valuation pairs minute-long latency with compute costs: 10M users paying $10 monthly imply a $1.2B annual burden.Jason’s reversal—from recommending the round to refusing it—alongside Miro’s $1.3B sale from $17.5B and Canva’s slowdown from 30% to 20%, highlights SaaS’s shift from revenue multiples to EBITDA.

Molly O'Shea × Luca Ferrari × Francesco Patarnello × Matteo Danieli × Valentina Jerusalmi

Bending Spoons wins deals by paying the highest price, with post-integration platform, technology, and talent value supporting high returns for shareholders.Its vertical-agnostic filter prioritizes platform unlock, sufficient scale, and predictability, favoring 5–10 larger deals over transforming $20 million-revenue businesses.With an M&A pipeline that has never been so rich, AOL’s months-long Yahoo carve-out and re-platforming remain a key execution watchpoint.

David Senra × Luca Ferrari

Bending Spoons is a buy-to-hold-forever operator, producing $3B in run-rate revenue at 54–55% adjusted operating income margins through acquisitions and deep integration.Evernote's headcount fell from 350 to about 20, while revenue now exceeds $100M and product velocity is at least three times faster, demonstrating the operating model's leverage.Diagram and Alt Spooner point to further productivity gains, while fewer, larger deals and the unresolved IPO timeline remain important execution signals to monitor.

José × Ian Rountree

Cantos’ edge is deliberate smallness: Fund IV reached $70M, supporting $1.5–4M checks before websites and same-day SAFE execution.Ian favors hard tech, vertical integration and manufacturing scale, with Neros at 1,000 drones weekly and targeting a million annually.The opportunity is cost advantage and defense demand; China’s control of motors, actuators and rare-earth inputs remains a physical-AI risk.

李翔 × 张鹏

张鹏将移动互联网概括为“填坑”，将AI与硬科技概括为“爬坡”：范式尚未收敛，思维框架可能每半年变化，最大风险是成为“loading program”。模型公司首先要留在牌桌上，全球最终可能只有十家甚至二十家；具身智能的数据范式仍未收敛，能否把智能进一步转化为真正的生产力值得持续观察。

Harry Stebbings

NVIDIA delivered a record $96.2B quarter and guided to 70% growth for the fiscal year ending January 2028, with end-user demand and share loss the key risks.The reported near-$12.9B Hugging Face deal, not finalized or confirmed, would reinforce open-source compute economics and NVIDIA’s push to win every segment.Agents are becoming software buyers, supporting the cases for Clay at $7B and Linear at $2.5B, while cyber exposure and reward hacking remain unresolved.

李梓楠 × 徐煜萌 × 程曼祺

具身智能正从技术竞赛滑向融资与 IPO 竞速：某高估值公司去年研发约三千万元，却累计融资超五十亿元；全行业千卡以上集群据信源仅八家。港股18C催熟收入，地方数采中心占盘子至少三到四成，但八千万元项目已散伙；今年需验证一千万小时数据能否支撑 scaling，以及宇树上市后六个月的定价。

David Senra × Doug Leone

Doug Leone’s return to Sequoia finds AI disrupting his pattern recognition, but his filters endure: invest only in opportunities he’d back with his children’s money and capable of returning the fund.Cisco, Nvidia, Google, Apple, and ServiceNow illustrate venture’s asymmetric economics, while young founders, high pre-money pricing, and a short relevance test expose sourcing and execution risks.

Harry Stebbings × Eno Reyes

AI may be priced by outcomes rather than tokens, favoring open models for commodity work and proprietary post-trained specialists for high-value workflows.That challenges frontier-model TAM as Anthropic’s $2T framing depends on Claude Code amid fierce developer-tool competition, model lock-in and margin risk; watch whether the harness becomes the durable application layer.