valuations are getting rising - more specifically, expanding at the top
expectations are rising too
series a median ARR more than doubled in 4 years
our expectation at pre-seed has changed too
quick touch on our expectation at pre-seed, based on what we're seeing:
- having a prototype is given, even if non-technical. if you're asking for money, please tell me you've at least taken a stab at building it with AI.
- for b2b, i'm seeing lots of companies raising pre-seed with revenue - paid pilots/"design partners". less so for high-ticket or long sales cycle industries.
- b2c is usually launched or about to when i meet them
- there are always exceptions to simple rules like, highly technical companies - where i'd still expect a prototype but less traction since early days spent on R&D
time between venture rounds is growing
median time from seed to series a went from 1.6 in 2019 to 2.2 years in 2025
40% of companies who raised series a in 2025 took longer than 3 years after their seed
historically, startups who raised bridge rounds were less likely to raise a series a (signals slower growth)
2025 saw three quarters in a row where bridged startups outpaces non-bridged startups at series a
(don't think it means bridges are good per se, just more needed)
have you hear of "seed-strapping"? where you raise a seed round and grow without any additional funding? sounds great and definitely possible with AI.
challenge for pre-seed VCs (if you care) is that seed/bridges are increasingly SAFEs, so it might take 2-3 rounds before any change in the SOI
zirp era changes around investing in diverse founders outside of SF seem to have pulled back
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AI Agent Compliance & Governance Layer
Autonomous compliance agents evolve from tools into always-on governance infrastructure. As regulation accelerates (AI, ESG, cross-border data, tax), the bottleneck shifts from interpretation to continuous enforcement and board-level visibility.
These agents don’t just flag risk, they simulate decisions, propose compliant paths, and log everything as audit-ready memory. The “why” is simple: complexity compounds faster than headcount, and liability increasingly sits with executives who need real-time assurance. This becomes as core as ERP, but decision-aware.
Autonomous B2B Agents-as-a-Service
Entire business functions collapse into leased agent fleets: procurement, finance ops, legal workflows, even internal strategy. The shift is from SaaS (tools) to AaaS (outcomes), where companies pay for completed work, not software seats.
Second-order effect: org charts flatten and vendors become “shadow departments.” The enduring behavior is that companies optimize for efficiency and control, but now control comes from orchestration, not ownership of labor.
we held our quarterly AI session with LPs last week where we go over ai trends and our experiments
sharing an abbreviated version here for anyone interested
🧵
feels like forever ago, but had to include openclaw in q1 trends
coding models improved greatly in Q4 of 2025, early jan was ppl running claude codes in parallel, and clawdbot blew up late jan
models improvement + own computer (mac mini) + channel agnostic communication led to escaping dev community
anthropic/dod coverage
was all over the news for a week in feb, but it's just one customer and anthropic got a lot of consumer awareness reaching #1 on app store, cover on time magazine, etc. (not sure if it's three years worth but you get the point)
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random thoughts on the tool and building it below vcpedia.com
this wasn’t even something i planned on building but the idea came to me a week ago, and I put other builds* on hold to throw this up (it’s when I work fastest)