TUESDAY, MAY 5, 2026

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SaaSpocalypse Narrative Reverses — But Only for AI-Adjacent Vendors

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Atlassian re-accelerated to +32% growth, Twilio to +20%, both stocks ripped 20%+ — while Thoma Bravo wrote down $5.1B on Medallia and SaaStr dropped Notion entirely.

Insight: The story isn't 'SaaS is back' — it's that AI is acting as a Darwinian filter. The same buyer is paying 83% more to one vendor while cutting another to zero in the same quarter.

⚠ Divergence: Whether legacy SaaS without strong AI roadmaps has 12 months or 36 months.

Source newsletters · 1

  • SaaStr

Active Topics · Cross-source synthesis

warningaccelerating

AI Agents Are Breaking Identity, Anonymity, and Production — The KYA Gap

Insight: The next regulatory wedge isn't model safety — it's agent identity. Whoever ships the KYA layer (likely Stripe + Cloudflare given their joint protocol) becomes the Plaid of the agent economy.

Changed: Agent autonomy is outrunning identity, spending controls, and authorship attribution simultaneously — every layer of trust assumed for humans is broken or absent for agents.

Whether the fix is open standards (OKX APP, x402) or proprietary platforms (Stripe×Cloudflare).

1 leaders4 newsletters1 posts
playbookaccelerating

Token Costs Are Now a CFO Problem — Right-Size or Get Cut

Insight: The naive scaling assumption ('inference will get cheaper') just inverted — capability premium is rising faster than commodity-tier deflation, so locking in workflows on premium models without routing is a structural margin error.

Changed: Token spend graduated from a line-item to a board-level concern; companies are migrating workloads to cheaper or local models mid-cycle.

Whether the answer is local/open models (DeepSeek, Llama) or smart routing across closed-API providers.

1 leaders3 newsletters1 posts
insightaccelerating

AI Capex Boom Now Larger Than Dotcom Telecom — But Earnings Are Concentrating

Insight: The 'modern industrial revolution' bull case (Pomp, Andreessen) and the 'narrowest concentration since dotcom peak' bear case are both true — and both can resolve with the same price path: melt-up then violent rotation.

Changed: More S&P 500 names are getting earnings revised down than up — six companies are carrying the index.

Whether deflationary AI gives the Fed cover to cut (bullish broadening) or whether Dylan Patel's predicted anti-AI protests trigger political backlash.

3 leaders2 newsletters4 posts
warningaccelerating

April Was Worst Month Ever for DeFi Hacks — $635M Stolen, Aave TVL Collapses 40%

Insight: The big DAOs are coordinating bailouts ($300M DeFi United for rsETH) — but 'crypto bailouts' is exactly the centralization critique DeFi was built to avoid.

Changed: The defense story is now structurally different — x402 (per-call payments, no stored API keys) and Zauth/Ampersend/Vaults.fyi stack are emerging as the agent-era security primitives.

Whether multi-DAO bailouts (Aave, Lido, Arbitrum, Compound) are responsible coordination or moral hazard.

1 leaders3 newsletters2 posts
updatenew

SaaSpocalypse Narrative Reverses — But Only for AI-Adjacent Vendors

Insight: The story isn't 'SaaS is back' — it's that AI is acting as a Darwinian filter. The same buyer is paying 83% more to one vendor while cutting another to zero in the same quarter.

Changed: The market is bifurcating in real time: vendors selling AI agent seats see budget expansion (SaaStr is paying Salesforce 83% more YoY), legacy B2B software gets gutted.

Whether legacy SaaS without strong AI roadmaps has 12 months or 36 months.

1 leaders1 newsletters1 posts
narrative_shiftaccelerating

Stablecoins Hit Distribution Inflection — Meta, PayPal, Visa Move in the Same Two Weeks

Insight: The losers aren't legacy banks — they're the L1s and stablecoin issuers who bet on proprietary chains. Distribution flows to Solana/Polygon/USDC because incumbents refuse to operate their own infrastructure.

Changed: Stablecoins shifted from speculative DeFi primitive to consumer payout rail — Visa is now a validator on Tempo and Canton with $7B annualized volume, up 50% QoQ.

Whether stablecoins solve real B2B payment friction or just consumer-payout edge cases.

1 leaders4 newsletters1 posts

From X · High-signal posts (last 72h)10 of 10 high-signal

AI · 7

@AI Market Watch5

🚀 Startup Spotlight 🚀 Netomi - Enterprise agentic AI platform for customer experience, enabling Fortune 500 companies to deploy autonomous AI agents across chat, email, and voice channels. 🔍 Company Overview - CEO: Puneet Mehta - Year Founded: 2015 - Location: San Mateo, California, United States - Team Size: 201-500 - Webpage: https://www.netomi.com 🎯 What They Do - One-line Description: Enterprise agentic AI platform for customer experience, enabling Fortune 500 companies to deploy autonomous AI agents across chat, email, and voice channels. - Target Customers: Fortune 500 enterprises across airlines, insurance, financial services, media, gaming, and healthcare with complex, high-volume customer service operations. - Industry Verticals: AI Agents 🚀 Achievements & Status - Current Stage/Status: Growth Stage - Major Milestones: Series C - Key Investors: 2015: Founded as msg.ai; 2016: Y Combinator W16 batch; 2016-2017: Seed rounds led by Y Combinator & Index Ventures; 2018: Rebranded to Netomi; 2019: $14.7M Series A led by Index Ventures; 2021: $30M Series B led by WndrCo at $210M valuation; 2026: $110M Series C led by Accenture Ventures with Adobe Ventures participation; 2026: Strategic partnership with Accenture for global enterprise deployment - Basic Growth Metrics: Revenue: $46.6M (2025), $32.7M (2024), $21.8M (2023), $22.6M (2022), $15.6M (2021), $8.3M (2020). 42.64% YoY growth (2024-2025). 💡 Competitive Edge - How They Differentiate: Netomi differentiates through its enterprise-grade governance (sanctioned AI with full audit trails), ability to handle the most complex enterprise environments (airlines, insurance, financial services), deep contextual awareness, no-code orchestration studio, and a strategic partnership with Accenture for global enterprise deployment. Its investor roster of AI luminaries (Greg Brockman, Demis Hassabis, Mustafa Suleyman) provides unique credibility. - Key Technological Advantage: Agentic AI with multi-step reasoning, deep contextual awareness, no-code orchestration, bring-your-own-LLM flexibility, SOC 2/HIPAA/GDPR/ISO 27001 compliance, built for Fortune 500 scale handling billions of interactions. Founded at Y Combinator (W16). Backed by prominent AI leaders as investors/advisors. 📈 Funding & Partnerships - Total Funding Raised: $162M - Latest Funding Round: Series C 👥 Leadership & Team - CEO Background: Ex-Wall Street (built low-latency trading AI systems); Co-Founder & CEO of MyCityWay; B.E. in Computer Science & Engineering from Punjab Engineering College (PEC University of Technology) - Key Members: Puneet Mehta (Founder & CEO); Dhaval Mehta (VP of Customer Success); Shavi Gupta (Global VP, Finance & Operations) 📊 Market & Competition - Market Positioning: Positioned as the premium enterprise-grade agentic AI platform for customer experience, targeting Fortune 500 companies with complex, high-stakes customer service operations. Competes against both established CX platforms (Zendesk, Intercom) and AI-native startups (Ada, Decagon, PolyAI, Sierra). - Geographic Focus: Primarily North America (US headquarters in San Mateo, CA; offices in New York, Toronto, and India), with global enterprise reach through Accenture partnership. - Main Competitors: Ada; Intercom (Fin); Zendesk AI; Decagon; PolyAI; Sierra Based on database updated on: 2026-05-01 #Innovation #AI #Startups Powered by #WeeklyVentures "Spot an error? Share your feedback to help us improve!" https://lnkd.in/gwysedHi

@The AI World Organization3

🚀 Accenture & Adobe Just Backed Netomi's $110M Round The Agentic AI Takeover of Enterprise CX Has Begun Netomi just closed a massive $110 million Series C, and the names behind this deal say everything about where enterprise AI is heading. Accenture Ventures and Adobe Ventures are leading the charge not just as investors, but as strategic partners embedding Netomi's agentic AI directly into their enterprise ecosystems. WndrCo, Silver Lake, and NAVER Ventures also joined the round, bringing Netomi's total AI funding to over $160 million. What makes this different from every other AI funding news story this week? Netomi isn't just another chatbot. Founded by Puneet Mehta, a former Wall Street algorithmic trading engineer, the platform processes 40,000+ concurrent customer requests per second with 98% intent accuracy. Clients like Delta Air Lines, DraftKings Inc., MetLife, and the National Basketball Association (NBA) trust it with their most critical customer interactions, every single day. And the people backing Puneet Mehta? Greg Brockman of OpenAI, Demis Hassabis of Google DeepMind, and Mustafa Suleyman of Microsoft AI. When the architects of modern AI personally back a startup, the market pays attention. Adobe is integrating Netomi directly into its Brand Concierge agentic ecosystem, while Accenture is weaving it into enterprise CX transformation engagements across industries globally. This isn't a side bet it's infrastructure-level commitment. At The AI World Organization, we believe moments like this don't just represent capital they represent a fundamental shift in how businesses will serve customers in the years ahead. Agentic AI is no longer experimental. It is production-grade, enterprise-ready, and scaling fast. 📖 Read our full in-depth coverage here: https://lnkd.in/gpbJD8rY #AgenticAI #AIFunding #ArtificialIntelligence #EnterpriseAI #CustomerExperience #Netomi #AIInvestment #AIFundingNews #OpenAI #Accenture #Adobe #StartupFunding #AINews #TheAIWorld #AIWorldOrganisation #FutureOfAI #TechFunding #AIStartups #CXInnovation

@Aman Parmar2

"Only do the mentioned changes. Don't touch any other file. No regressions." Are you doing this everytime doing the changes?? It still does it. Team flags it. The team traces it back to a function nobody touched intentionally. So you add more constraints. More prompt instructions. The regressions keep coming. The problem isn't the prompt. LLMs default to completeness. If it can improve something, it will - asked or not. Andrej Karpathy flagged this exact pattern. I turned it into a Claude skill: three rules that cut regression noise directly. 1. Change only what's required - note unrelated issues, don't fix them. 2. One change, one purpose - find a second issue while fixing the first, flag it and leave it. Don't bundle. 3. Show proof before claiming done - run the relevant test suite, paste the output. No "it should work." You can't out-prompt a model that's trying to be helpful. Constrain it structurally. One file in .claude/skills/. Every session gets these guardrails automatically. Skill file on GitHub - first comment. What guardrails are you running in your AI coding sessions? Genuinely curious what's working. #ClaudeCode #AIEngineering #QA #BuildInPublic #SoftwareEngineering

@RunbookXai0

Recently, Andrej Karpathy spoke about a simple but powerful idea, moving toward “RAG-less” systems using structured markdown files instead of complex retrieval pipelines. The thought is interesting: instead of heavy RAG stacks, organize knowledge in clean, well-structured formats that LLMs can directly reason over. At RunbookXai, this connects closely with how we think about practical AI systems: - Not every use case needs a complex RAG pipeline   - Well-structured data can sometimes outperform over-engineered retrieval   - Simplicity + clarity often leads to better reliability  This doesn’t replace RAG, but it challenges us to ask: are we overcomplicating things? Sometimes, better structure beats better retrieval. Curious how others are thinking about this 🤩

VC · 3

Hot Takes All 6 takes →

Abstract phrases like 'leverage synergies' are 8x less memorable than concrete ones, so marketers should replace jargon with specific, tangible langua

Phill Agnew · Bearish

Algorithms are designed to keep users on-platform, so viral posts rarely convert to off-platform actions like podcast listens — borrowed audiences fro

Phill Agnew · Bearish

The lawsuit will make a great Aaron Sorkin movie, with Dane DeHaan playing Musk and Jesse Eisenberg going two-for-two as Sam Altman.

The Neuron · Neutral

Capital Flows All 5 rounds →

Anthropic
Late Stage · AI
$900.0B
Adam Selipsky AI Infrastructure Co.
Launch Capital · AI Infrastructure
$10.0B
Roze AI (SoftBank)
IPO (planned) · Robotics / AI Infrastructure
$100.0B
Anthropic
Growth · AI
$50.0B
Anthropic
Unknown · AI
$45.0B
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