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Let’s get into it.
together with Hard Skill Exchange:
If agents now do the buyer’s research, your GTM can’t run on fixed sequences and static playbooks. It has to learn from every account, interaction and outcome, and adjust what happens next on its own.
That’s the idea behind Recursive GTM, a free virtual session on October 15:
▫️ How self-improving systems are being built across marketing, sales and customer success
▫️ Live demos and 30-minute practice sessions with leaders from Dialpad, ZoomInfo, 1mind, Vivun and Aligned
▫️ How to compare AI-native GTM operating models and find the one that fits your org
In-Depth Insights 🔍
Ant International Builds an Agentic Payments Stack 🤖
The system combines wallet-based agent payments, shared Know-Your-Agent verification, and protection against hallucinated or altered transaction intent. It also supports agent-to-agent settlements as small as $0.000001 and adds FalconTST 2.0 plus the Antom 3-in-1 Transformer.
Bending Spoons Runs Evernote With a Tiny Team 🧠
Evernote now operates with about 20 people after the acquisition reduced a 350-person organization, while the company received 800,000 applications and hired fewer than 300 people last year. Its hiring system scores candidates across 100+ signals, uses a centralized team without bonuses, and requires evidence before adding operational complexity.
AI Agents Often Find Your Pricing Somewhere Else 🔍
Across 7,675 AI-generated answers about Cloud 100 companies, company pricing pages appeared in 46% of responses but ranked first only 12% of the time. Vendr, Reddit, and G2 appeared frequently, while Plaid’s billing documentation showed up in 70% of answers about its pricing.OpenAI Shifts Engineering Capacity Toward Defense 🛡️
Astra reportedly maintained coherent activity for 24 hours, while OpenAI moved 25% of production engineers toward defense work and committed $1 billion to frontline defenders. Other moves included a Codex security test that surfaced 13 findings in 15 minutes and the cancellation of Sora.
How to Hire Against Bigger Brands and Higher Salaries 🧲
A hiring strategy built around frontier, potential-based, and asymmetric recruiting helped assemble more than 50 technical PMs while competing with companies offering stronger brands and pay. The approach uses talent magnets, domino hires, named references, and pipeline diagnosis to identify where recruiting is actually breaking down. [Ibrahim Bashir]Gusto Rethinks M&A Around Roadmap Speed 🤝
Gusto’s acquisition of Guideline reflects a simple test: how much faster can the company move by bringing the target onto its roadmap now. A $50M-revenue business can still be less attractive than a $5M one when its revenue multiple exceeds the value of its team and underlying technology. [Turner Novak]The Employees Worth Building a New Role Around 🤝
The strongest employees are people who finish work without prompting, maintain output without supervision, and surface bad news before it becomes expensive. Creating a role for them requires a measurable target with a deadline, an external-market title, real budget, and a review after two quarters. [Jason M. Lemkin 🦄]Cal AI’s Growth Story Was Built on More Than Strategy 🍀
The company reached #1 in Health & Fitness and $50M ARR within 18 months before its sale, with a series of unexpected events shaping the founding team’s path. The hiring lesson is to pay for exceptional people, use specialized recruiters when needed, and prioritize availability plus willingness to learn over years of experience. [Jake Castillo]Could Language Models Be Starting From the Wrong Place? 🧠
An 1880 case involving a deaf man learning to communicate is used to argue that reasoning may need to precede language rather than emerge from it. The same historical lens is applied to San Francisco speculation to question whether today’s technology boom could follow familiar cycles of rapid expansion and correction. [Cassandra Unchained]
Social Media Gems 💎
Google Introduces Gemini 4 Argon With Frontier Benchmark Results 🚀
Gemini 4 Argon is positioned for complex workflows, cyber defense and software engineering, with benchmark results compared against leading models. Google says it is already used across teams and is available through the Fairwind Program to the US government and trusted cyber defenders, with broader access planned as safety allows. [Sundar Pichai]AI Tier List Puts Google in Its Own Category 🏆
A community tier list places Opus 5.5 in SSS, GPT-6 Astra in SS, Fable 5.1 and GPT-6 Sol in S, while four Gemini Flash models sit in a separate Google tier. The discussion centers on whether model rankings mean much without a defined task, with commenters pointing to Gemini’s cost and use-case strengths while questioning several placements.The 10-Year Plan That Starts With a 6-Month Question ⏱️
A post challenges the usual pace of long-term planning by asking what would happen if a 10-year goal were attacked with a six-month timeline, even if the attempt falls short. The discussion contrasts ambitious targets with achievable goals, while others question long-range planning when conditions can change significantly before the timeline ends.Jeff Bezos Says AI Could Turn Shovels Into Bulldozers 🚜
Jeff Bezos compares AI to replacing a shovel with a bulldozer, arguing that better tools can raise worker productivity rather than simply eliminate entire professions. The debate focuses on who captures those gains, with commenters pointing to corporate layoffs, shareholder returns and the possibility that smaller teams equipped with better tools still mean fewer workers.The Founder-to-Acquired-Founder Footwear Test 😂
A meme contrasts a founder in conventional footwear with an acquired founder wearing Crocs, using the shoes as shorthand for what changes after a company sale. Commenters interpret it as moving from VC validation to self-expression, while others joke about joining the acquired-founder club and debate whether Crocs belong in any founder wardrobe.
Trending News ⚡
Nvidia Launches Open Agent Safety Platform 🛡️
Nvidia introduced OpenShell and Sentry to control what AI agents can access across compute and network layers. The platform is designed to give developers tighter boundaries and monitoring as agents operate with more autonomy. [CNBC]Bill Gates Maps AI’s Two-Phase Future 🤖
Gates expects roughly two decades of labor-market adjustment as AI spreads, with safeguards needed against new forms of misuse. He predicts a later phase where humanoid robots and AI automate tasks like building homes and producing food at scale. [Business Insider]AMD Agrees to Buy World Labs for $8.2B 🌍
AMD is acquiring World Labs, whose models are built to understand physical environments, with regulatory approval still pending. Fei-Fei Li will join AMD as executive vice president and chief scientist once the transaction closes. [TechCrunch]Sam Altman Talks Tokens, Safety and Jobs at DevDay 🎤
Altman criticized token counts as an AI metric, called for a centrist approach to safety and introduced Dots as OpenAI’s latest agent product. He also said this is a strong time to enter the job market and that using Dots has reduced his attachment to his phone. [Business Insider]Micron Raises Revenue Outlook to $61.5B 📈
Micron expects first-quarter revenue of $61.5 billion, above the $57.02 billion analyst estimate, as long-term customer commitments continue climbing. Fourth-quarter revenue reached $54.23 billion, more than quadrupling year over year and beating expectations of $51.07 billion. [Reuters]
New Funds 💰
Zero Infinity Partners closed Fund II at $156M, backing early-stage companies at the intersection of physical infrastructure and technology.
Protego Ventures closed Fund I at $125M, investing in early-growth Israeli defense technology companies across autonomous systems, AI, sensing, navigation and related technologies.
DIG closed Fund III at $120M, backing European pre-seed and seed-stage companies building enterprise AI and cloud infrastructure.
Hatteras Venture Partners held the first close of Opportunity Fund II, targeting $100M, to provide follow-on capital to healthcare companies approaching key clinical, regulatory and commercial milestones.
Sofinnova Partners closed Sofinnova MD Start IV at €82M, backing the creation and development of 6–8 new medtech companies across Europe and the US.
Eureka! Venture launched Eureka! Fund II – Deep Tech Lazio with a ~€20M first close, investing in early and development-stage deep-tech startups, spin-offs and innovative SMEs.
BAG Ventures closed its inaugural Fund I at $11.3M, backing early-stage companies.
That’s a wrap for this week.
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thanks for the mention 🙏