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SERVAL'S PATH TO PRODUCT-MARKET FIT

"What's your biggest pain point?" is dead as a discovery question.

BEING A “SYSTEM OF RECORD” WON'T SAVE YOU. IT'LL JUST MAKE YOUR DECLINE MORE COMFORTABLE

System of Record businesses that don't own the AI layer on top of their platforms will see spend flowing around them - while they will get renewals, they won't see growth.

AGENT SKILLS ARE THE RECIPE. VERTICAL AGENTS ARE THE CAKE

Selling skills is like selling the recipe, and you want to be in the cake business.

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THE GREAT SAAS RESET: FROM 30X EUPHORIA TO AI-DRIVEN REPRICING

Figma lost 80% of its market cap. Salesforce trades below 4x revenue. The "10x ARR Club" used to have 60% of public SaaS companies in it. Now it's 5%. Not every SaaS company is dying the same death. There are two kinds emerging, and the difference between them is whether a customer would rather rebuild from scratch than rip you out.

CODING GOT EASIER. WINNING WITH AI PRODUCTS DIDN'T. HERE'S WHY

The best PMs are leveraging AI to absorb large amounts of context and make sense of sales call recordings, notes, messages, support tickets, and other sources of information. AI can draft experiments to test, flag patterns worth investigating, and generate hypotheses faster than any planning cycle ever could. 'What to build' will eventually become another AI-assisted workflow. The obstacles now sit downstream, mostly with what happens after shipping a product. This article looks at potential headwinds for AI products and suggests fixes for each.

VISHAL KAPOOR'S 10 RULES FOR BUILDING HONEST PRODUCTS WITH AI

Building with AI is a trust challenge as much as it is a technical challenge. Affirm, a company that empowers customers with flexible payment plans, believes that earning user trust is key to its mission and enduring success, especially due to the deeply emotional nature of personal finances and the often-convoluted terms of credit card companies. This article features 10 tips from Vishal Kapoor, SVP of Product at Affirm, on how to help teams accelerate development and explore more ideas while still delivering experiences that are honest and human at their core.

YOUR DATA AGENTS NEED CONTEXT

The market is aware that a lack of context is a problem, but it is still in the early stages of building solutions. Building a proper data agent is a blend of technical challenges related to data infrastructure and engineering and human operational challenges related to tribal knowledge collection. This post proposes a modern context layer paired with an agentic data system. Not every enterprise will build this in-house, so the market is open for an external solution.

MEETINGS ARE PRODUCTS

Everyone should tend to their recurring meetings the way they would tend to any other product they were responsible for. This can reveal unnecessary meetings or issues that no one thought to question. Some meetings only exist because the highest-paid person in the room decided that's how things work. However, attendees can usually adjust the who, what, how, or when these meetings occur.

THE ONLY PITCH PREP YOU'LL EVER NEED

Redbud VC's pre-seed framework prioritizes how founders reason under pressure over rehearsed answers. Sharpest signals include naming credible failure modes, articulating uncomfortable market beliefs, and showing how customer feedback has changed their thinking. The strongest indicator of success is the ability to say "I don't know" and explain the plan to find out, as early companies typically fail from misjudging reality and updating too slowly.

how TLDR compares.

AUTORESEARCH

AI agent that runs 100 LLM experiments overnight on one GPU.

GOOSEWORKS (RESOURCE)

A collection of GTM skills for your AI agents.

TIMELAPS

Measure marketing effectiveness using real-time consumer insights.

WHITE COLLAR GOES BLUE

Your autonomy, your creative ownership, your seat at the table - none of that was ever a right. It was compensation for being hard to replace. A startup founder recently admitted their core team could just do the work themselves with AI, and dealing with ten personalities on a spectrum of competence isn't worth it anymore. You can't walk into a one-on-one and say, "Actually, we just need you to execute now and stop having opinions." So companies are resetting instead. Lay people off, restructure, and rehire the same roles but scoped as trades from the start.

THE ORG CHART MATH BEHIND AI-NATIVE SPEED

Metcalfe's Law states that each new team member adds n-1 new connections. This means there are 11,175 potential communication channels in a traditional 150-person organization. An AI-enabled team producing equivalent output might need 30 people, dropping potential communication channels down to 435, a 96% reduction. AI-native startups are pulling ahead because fewer humans means fewer channels and faster iteration, compounding speed.

OUT OF DISTRIBUTION

A study of founders behind $5B+ companies revealed recurring traits of neurodivergence, polymathic range, and early trauma that create a visceral connection to the problem being solved.

THE ENTERPRISE CONTEXT LAYER

The Enterprise Context Layer is the self-updating central intelligence that can answer questions on all knowledge for the company.

10X IS THE NEW FLOOR

People who haven't personally built anything in years should be worried, as their careers were built on reliable competence - and the tools just caught up to it.

THE GREATEST ALPHA IN VC ISN'T SELECTION - IT'S CATEGORY FORESIGHT

If you identify the right category early enough, you don't need to be right about which company wins.

BUILDING FOR TRILLIONS OF AGENTS

Agents are no longer just chatbots with basic tools. They now have sandboxed environments and can write and run code for any problem they run into, interact with APIs and CLIs directly, and have their own file systems and long-term memory. These primitives offer a glimpse of agents that can handle any task that can be thrown at them. The future will see enterprises with thousands more agents than people in a company. As a result, agents will become the primary users of all software, which means developers should start considering what software to build for these agents.

DO AI-ENABLED COMPANIES NEED FEWER PEOPLE?

The startup economy is undergoing a structural transformation. Startups are substituting compute for labor at an increasing rate. This could result in a lot more companies doing a lot more things, but that hasn't happened so far. The claim that companies can get by with way fewer people due to AI seems to be true.

THE SWORD OF DAMOCLES IN SOFTWARE

GitHub Copilot's early lead diminished as competitors like Claude Code and OpenAI Codex surged past 100,000 users within months. From 2022 to 2025, software companies' net dollar retention gradually declined, with a sharp drop in 2026. Companies with simple, easily replaceable products, such as Asana and Zoom, now face increasing threats, leading to potential contraction.

GET IN THE TOKEN PATH

Every AI workload ultimately boils down to tokens being generated, processed, and consumed by models. The companies that sit closest to the generation and consumption of tokens will be the ones whose revenue scales with AI activity. The winners of the cloud era monetized the core consumption primitive. That primitive is now tokens. Own the meter, and growth will take care of itself.

ON BEING LEGIBLE TO CAPITAL

Fundraising legibility breaks into three stages: exterior status, network positioning, and pitch dynamics. Founders outside the top two tiers (repeat founders, top-company alumni) need to build a public body of work, like open source projects or writing, to generate inbound interest. Warm intros from a handful of well-networked angels matter more than any deck, since being "in-network" means capital-adjacent people already vouching for you before the first meeting. In the room, the founders who close know their market cold and flip the power dynamic by making the VC feel like they are competing for the deal rather than doing a favor.

AVOIDING A CULTURE OF EMERGENCIES

Managers can reduce team emergencies by deeply understanding their team's tasks, setting clear priorities, and developing a strong mental model of the team's role within the company. Good managers proactively address potential issues, make informed decisions, and maintain a long-term focus on productivity rather than short-term gains. Prioritizing team well-being and clarity leads to higher productivity and improved talent retention.

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TESTSPRITE 2.1

Automatically generate and run software test suites.

CODEX SECURITY

Identify and propose fixes for security vulnerabilities in codebases.

21ST AGENTS SDK

Embed Claude Code AI agents into applications.

THE HONEST REASON AI WILL BEAT MANY SALES REPS: THEY DON'T REALLY DO A LOT OF THE WORK. BUT AGENTS DO AND WILL

AI will replace the sales reps who weren't really doing the job in the first place. Great sales reps own their scheduling, run real demos, know the product, industry, and competition, and solve the actual problem. They follow up relentlessly and simplify deployment. The good reps will use AI to do even more work even faster. The reps that were coasting will be replaced by systems that do the work better than they do.

THE TASTE RANKINGS: WHICH VCS ACTUALLY HAVE IT

ADIN Research has identified a bug in OpenAI's GPT-4 API that exploits confidentiality issues. There are potential risks for users relying on the model for sensitive data processing. This issue prompts discussions on securing AI applications.

THE COWAN PARADOX

The Cowan Paradox, named after historian Ruth Schwartz Cowan's finding that vacuum cleaners didn't reduce housework but raised cleanliness standards and reassigned labor to fewer people, maps directly onto AI agents in B2B. A Berkeley Haas eight-month field study confirmed it: workers adopted AI, expanded into adjacent roles, stopped separating work from non-work hours, and ended up busier than before.

POPSOCKETS FOUNDER DAVID BARNETT TALKS ABOUT BUILDING A VIRAL BUSINESS

David Barnett founded PopSockets after seeking a better way to hold headphones, creating a viral phone accessory.

EVERY BIT OF EFFORT HELPS

Early-stage startup progress rarely feels linear, but the breakthrough usually comes from one more meeting, one more call, or one more feature pushed past the point where most founders stop.

AI MADE RELATIONSHIPS, NOT FEATURES, THE LAST DEFENSIBLE ADVANTAGE

Companies should build history, context, and trust by understanding their customers, measuring the right outcomes, and continuously improving the relationship through every interaction so that switching feels like starting over.

THE ONLY THING THAT SURVIVES

A company raised $4M, shipped a beautiful product, got written up in TechCrunch, and died in eleven months. Three teams built the same thing within six weeks of launch and one of them was free. Only 3% of VC-backed software companies ever reach $100M in revenue. If a team with $50M cloned you tomorrow, what would they still not be able to replicate in three years? This post presents seven real sources of durability that have nothing to do with your tech stack, from proprietary data that compounds with every interaction to infrastructure trust that takes years to earn to physical atoms that no weekend prototype can shortcut.

SERVICES: THE NEW SOFTWARE

The next $1 trillion company will be a software company masquerading as a services firm. Companies right now might spend $10,000 a year for software and $120,000 for a professional to complete the task. The next legendary company will just offer to complete the task. The frontier will shift as AI systems accumulate data about what good judgments look like in specific domains.

GEN Z IS FUNDING GEN Z. AND IT'S WORKING

A broader pattern is emerging where young builders are funding each other through microgrant funds and peer-run launchpads, with the key advantage being that check-writers are still close enough to the zero-to-one phase to fund based on current context, not faded memory. The earliest believers do not need to be the most established ones. Peer-to-peer early capital is quietly compounding into an alternative support infrastructure.

THE BRAND AGE

Brands are the moat when differences between products disappear. Making the substantive differences between products is what the tech industry naturally tends to do. Good design tends to converge, but branding, by definition, has to be distinctive. Branding sells products, but the products still have to be good enough to maintain the brand's reputation.

YOU JUST RAISED $5M TO BUILD SOMEONE ELSE'S MOAT

Every week a founder pitches "we fine-tuned the best model on domain data" like that's a moat. It isn't. Every competitor has the same models at the same price per token. The real defensibility comes from one decision most teams skip - building agents that remember things between sessions. Most AI products forget everything after each conversation. The ones that retain what you changed, accepted, and rejected get meaningfully better the longer you use them. After two years of daily use, switching feels impossible - not because of a contract, but because a new product would have to relearn everything from scratch. The moat isn't the model. It's how much the system has learned about you over time.

IF YOU'RE BEHIND ON AI, PUT YOUR 10-20 BEST ENGINEERS IN A DIFFERENT BUILDING. TODAY

Taking your best engineers off your core product to build an AI agent is a risky move, but if you're behind on AI, it might be the only way to catch up. The incremental approach won't work. The companies that win in the next five years of B2B were the ones that made the bet on AI in 2025 and 2026. If your growth has stalled, win rates are dropping, or product feels stuck, the answer may be a focused team that wakes up every day thinking about nothing except the agent.

SIX RULES FOR DESIGNING COMPANY GOALS

Design company goals by focusing on clarity to ensure alignment and prioritization. Limit goals to three, assign a single owner, and prioritize one goal over others for effective decision-making. Clearly distinguish between goals and non-goals to maintain strategic focus and adjust strategies based on organizational learning and evolution.

SPELL

Beautiful, sophisticated UI components designed for modern React and Tailwind CSS applications.

AGENT-CLI

Suite of fully local AI-powered CLI tools.