💰36+ AI Startups Hit $1B Valuation

🔥 Most Web3 Founders Choose Wrong

Praveen Panjiar

— 4 min read
💰36+ AI Startups Hit $1B Valuation

In This Edition:

  • 💰 36+ AI Startups Hit $1B Valuation
  • 📈 Money Moves Without Gatekeepers
  • 🔥 Most Web3 Founders Choose Wrong
  • 👀 Why Exits Suddenly Matter Again
  • 🎯 Winners Will Consolidate Sales AI

🚨 These VCs Don’t Need Intros

📈 Money Moves Without Gatekeepers

Fundraising stalls not because startups are weak — but because founders target the wrong investors and miss fast-moving, cold-pitch-friendly funds.

Key Points / Highlights:

• ⚡ 15 active funds accept cold pitches and move fast — some in 48 hours
• 💰 Check sizes range from $50K to $10M, covering pre-idea through seed stages
• 🌍 Founder-first, global, remote-friendly VCs are writing checks without warm intros

No.Fund NameTypical Check SizeStage Focus
1Everywhere Ventures$100K – $500KPre-seed / Seed
2Village Global$100K – $500KPre-seed / Seed
3Anthemis Group$500K – $10MSeed / Series A
4M13$500K – $3MSeed
5Founder Collective$500K – $2MSeed
6Precursor Ventures$250K – $500KPre-seed
7BBG Ventures$500K – $1MSeed
8Hustle Fund$100K – $500KPre-seed / Seed
9Human Ventures$500K – $2MPre-seed / Seed
10Susa Ventures$500K – $2MSeed
11South Park Commons~$400K (≈7% equity)Pre-idea / Pre-seed
12Active Capital$100K – $500KPre-seed
13Notation Capital$250K – $1MPre-seed / Seed
14Pioneer Fund$50K – $250KPre-seed
15Lightship Capital$250K – $1MPre-seed / Seed

See the full list of investors and how to pitch them effectively.

Looking for early believers to back your startup? 👇

Find Angel Investors

🚀 Why Smart Web3 Teams Scale Faster

🔥 Most Web3 Founders Choose Wrong

In Web3, founders don’t fail from competition — they fail by choosing accelerators that don’t match their stage or strategy.

  • ⏱ Wrong accelerator = time lost, equity diluted, weak investor signal
  • 💰 Web3 pulled $18B in funding in 2025 — only well-positioned teams break through
  • 📊 Top programs drive outcomes: a16z Crypto Startup School alumni raised $300M+ post-program

→ Explore the full Web3 accelerator decision framework and priority matrix.

🚨 36 Startups Just Hit $1B

💰 36+ AI Startups Crossed $1B in 2025

Despite a cautious funding climate, 2025 minted at least 36 new tech unicorns, signaling where investor confidence and breakout momentum still exist.

Key Points / Highlights:

• 💰 36+ startups crossed the $1B valuation mark in 2025 so far, according to TechCrunch’s ongoing tracking
• 🤖 AI-led companies dominate the list — spanning enterprise AI, robotics, biotech, and infrastructure
• 🚀 Several unicorns were powered by late-stage mega rounds and insider-backed financings rather than hype-driven raises
• 🌍 The new unicorns reflect selective capital deployment, not a broad funding boom — fewer deals, but higher conviction

👉 See which startups investors are backing at $1B+.

🤖 AI Is Powering Liquidity

👀 Why Exits Suddenly Matter Again

After a massive $131B in VC-backed M&A in 2025, 2026 is shaping up to be a buyer-led exit cycle driven by AI, control assets, and scale.

Key Points / Highlights:

• 🔄 M&A dominates exits — IPOs reopened, but most liquidity still came from acquisitions, not public markets
• 🤖 AI is the deal engine — nearly $200B flowed into AI, pushing larger, fewer exits and early consolidation
• 📈 Exit backlog is massive — unicorns and $100M+ revenue companies represent ~$7T in waiting value

👉 See where liquidity and buyers are really moving next.

⚡ AI Is Replacing Sales Work

🎯 Winners Will Consolidate Sales AI

Sales is being rebuilt by AI from the ground up — and the explosion of tools across agents, outreach, CRM, personalization, video, and intelligence shows just how fast the stack is fragmenting and evolving.

🧠 AI agents are replacing manual sales work — from SDRs and meeting notes to coaching, follow-ups, and deal intelligence
• 📤 Outbound and personalization are hyper-automated — LinkedIn outreach, cold email, multichannel sequencing, and copywriting now run on AI
• 🎥 Video + voice AI go mainstream — personalized video prospecting, AI avatars, voice agents, and call intelligence are now table stakes
• 🧩 The stack is massively unbundled — dozens of point solutions for intent signals, pricing, enrichment, enablement, forecasting, and CRM
• ⚠️ Consolidation is inevitable — too many tools, overlapping features, and rising buyer fatigue will force winners to emerge

Sales teams aren’t choosing whether to use AI anymore — they’re choosing which layer to automate, replace, or consolidate first.

Dive into the full AI sales landscape and spot the tools shaping tomorrow’s revenue teams.

🔥WEB PICKS

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