Your next renewal increase is what pays for your customer's AI bill, and their procurement team has already worked that out. Software prices rose 12% to 16.4% through 2026 while general inflation sat near 2.7%. The average enterprise now spends $55.7M a year on software, up 8%, even though the number of apps in use slipped slightly, so every dollar of that growth came from price. 79% of IT leaders saw a price increase at renewal, and 78% got surprise AI or usage charges. Among 141 CIOs surveyed, 45% fund AI from existing software budgets and 54% are cutting vendor counts. Only about 28 cents of each new AI dollar is fresh budget.
Microsoft and Meta both started during Harvard's reading period, when students are on campus with nothing due the next day. The hard part of a startup is product - knowing what to build and being able to build it - so universities should fund computer science, mechanical engineering, and molecular biology over entrepreneurship curricula. Business plan competitions train founders to impress investors with a story instead of impressing users. YC application data has Harvard alumni applying at about twice the rate of Yale and Princeton alumni, which is credited to culture and exposure.
Only take advice from investors if it is a science question. Science decisions are ones that have a right answer. Great investors have answers for science questions because they sit on boards and invest in a lot of companies. They can just inform founders what will work and what won't work. Other areas, such as culture, mission, and strategy, should be the founder's domain and no one else's business.
Discovery meetings are a commercial handshake between organizations. The purpose of these meetings is to figure out whether future communication is worthwhile. It is to determine whether an organization can solve a need well. Founders tend to show up and give demos, but what they need to do instead is to establish whether they can solve the problem and how they plan to do it.
Monaco is an advanced AI sales platform that can add 16 points to the average customer's month-over-month revenue growth rate. The company's average customer tripled their monthly meeting volume during the beta. Several hundred hypergrowth startups experienced staggering results in the preview. The platform has now moved to General Availability.
OpenTag is a self-hosted knowledge-work agent for Slack and Microsoft Teams. It can turn data into charts and insights where the work already is. Support for Discord, Telegram, and WhatsApp is coming soon. A video demoing the agent is available in the repository.
The product-market fit game never really ends. However, once you've done it once, you're better armed than any first-timer. You have revenue, real users, years of data, and now agents to do half the building. This post provides some observations that might help post-product-market-fit companies prepare for whatever comes next.
Compounded mastery, where founders possess deep domain expertise prior to starting their companies, is becoming essential as AI makes software development more accessible. This expertise, built over time through trust, networks, and recognition, cannot be replicated by AI or bought with capital. In a future dominated by AI content, only founders with established mastery and trust will thrive.
Vertically integrating and fighting an open battle is much harder, but it's worth fighting because the prize for winning is much bigger.
If your signup flow has a rule anywhere that looks for the words privaterelay.appleid.com, that rule is about to start rejecting real customers.
Bootstrapped businesses are gaining relevance, driven by their focus on solving existing customer problems rather than chasing risky capital.
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AI has redefined software unit economics. As inference costs shift and margin pressures mount, standard pricing playbooks are failing, and founders are left to navigate unpredictable costs while scaling product-led growth and enterprise sales all at once.
Monetize [5] is the summit for leaders shaping the future of pricing and monetization in the AI era. Learn what's actually working from leaders including:
* Michele Catasta, President and Head of AI, Replit * Karan Parekh, Head of Finance, Clay * Aisling O'Reilly, Director of Product Monetization, Fin * Ryan Campbell, Senior Director of Strategic Finance, Snowflake
Join us September 9–10 in Sonoma, California.
Founders have long put in long hours in the name of building the next big thing, but AI agents are pushing this to the next level. AI agents' growing capabilities and the speed at which the models powering them are evolving are causing founders to work more and more as they fear missing out on precious hours of work. This is causing erratic sleep schedules, a struggle to focus on anything but work, and the feeling that, while the pace is unhealthy and unsustainable, they just can't stop.
The DOJ has spent close to a year on an antitrust probe of Andreessen Horowitz, and the subject is board seats like the ones your own investors hold. Regulators are looking at partners sitting on boards of AI companies that now compete, with Ben Horowitz at Databricks and Martin Casado at Fivetran named as examples. If firms respond by giving up seats or declining them, board composition, information rights, and term sheets change for anyone raising now. Nobody outside the probe knows what the underlying allegations are.
A semantic layer is a dictionary of definitions that agents and humans read from. It doesn't copy data, replace a warehouse, or move a single row of data. It sits on top of the data that exists and describes it. The semantic layer gives everyone a single place to read definitions from so that the team is on the same page. This post tells the story of how PostHog built a semantic layer into its context warehouse.
For most of the last two decades, building a custom alternative was rarely worth it. That's now changed - building something fitted specifically to your company is now cheap. However, what hasn't changed is risk, security, and total cost of ownership. The reasons to not build auth in-house are still the same as they always were.
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The X Ads MCP allows users to create ads directly from where they already use agents. Users can connect Grok, Grok Build, Claude Code, or other AI agents directly to their X Ads accounts and manage campaigns through normal conversation. Agents can pull real campaign data, analyze the results, and tell users what's working and what's not. The AI can create and manage campaigns, search interests and locations for targeting, add or remove targeting, create ad posts, promote existing posts, check campaign performance and reach, and update and activate campaigns. There are 23 X Ads tools available through the MCP.
Notion skills teach agents how teams work so they don't have to start from scratch. Users can ask Notion Agents to turn teams' work into skills that can be shared. Skills are Notion pages. Users can add processes, examples, references, and preferred formats, then share them like any other page.
TLDR is hiring a GTM Engineer to join our Applied AI team and own our AI-native GTM stack. We're looking for someone comfortable building AI agents and working with HubSpot. Click here to learn more [15]!
Plenty of teams save money running open AI models on their own hardware, shrunk to fit. Someone on a forum tested those shrunken versions of one model and logged 44.8 terabytes of results. Same model, same question. Right answer on one graphics card, wrong answer split across two, right again across four. One common compression setting quietly broke the model's ability to call outside tools, while a slightly bigger one worked fine. A feature that flakes in production but sails through your demo may be a settings problem, not a code problem. Answers also drift deep into long documents.
Inbound came out as the most-adopted go-to-market motion in this benchmark survey of B2B software companies, at 23%. Product-led growth still dominates below $1M ARR and under $5K ACV, so where your company sits decides which numbers apply. Channel use runs LinkedIn 66%, SEO 53%, warm outbound 48%. Some 47% of teams are testing AI discovery channels, and answer-engine optimization is the top rising investment. Hybrid pricing sits at 37%, and AI credit models are forecast to grow 114% in twelve months. On hiring, 39% of top AI companies are filling forward-deployed roles at $213K to $370K+.
Cloudflare now writes AI bot policies into robots.txt automatically across Search, Agent, and Training categories on every plan for free.
This site scores websites based on what agents can discover, access, and use.
Companies often overlook the customer experience with third-party services that carry their branding, leading to inefficiencies and frustration.
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Agents are hitting your signup flow and bouncing off a browser login built for humans. Every one that gives up is a signup you never see.
WorkOS Agent Registration [5] turns that traffic into signups. Enroll via the dashboard and AuthKit publishes an auth.md file agents read to register for scoped, short-lived credentials you control.
International founders that make it in Silicon Valley tend to find communities of similar people who have done the same. When these founders get together, they have each other's backs. The emergence of these international tech mafias has changed the playing field for international founders. These borderless founders who have a foot in their home country and in Silicon Valley know the strongest engineers in their home market before the rest of the market catches on and can get early customers from large companies at home that give them big proof points early.
Apple set new EU App Store terms that take effect October 1, and agreements can be signed now. The standard in-app purchase commission moves to 26%, or 15% for qualifying developers. Alternative payment processing runs 20%, or 10% for eligible program members, and apps distributed outside the App Store pay a 5% Core Technology Commission on digital transactions and require notarization. For the first time, a single app can offer both Apple in-app purchase and alternative payments. Once an option is picked, it stays for 12 months.
Lovable launched in late 2024 with a visual identity that was prototyped in 30 machines. The brand quickly picked up $10 million in annual recurring revenue just 60 days after launch. Lovable's brand was designed and redesigned over two and a half years by an insanely talented design team. This post tells the story of how Lovable's first designer translated a feeling of genuine infectiousness into a design brief and brand identity. The company's growth shows what is possible when people with innate curiosity and genuine care for what they do are given complete trust: they produce exceptional work, remarkably fast.
Commenting on your prospects' posts can create investment while adding value. Comments create a direct touchpoint with your prospects, and it works as a distribution to many more similar prospects. They allow you to get free reach into a network of people just like your buyer. Commenting lets you stay visible in a way nothing else in outbound can.
This post lays out the arithmetic behind why a company that raised a seed easily gets Series A nos without changing anything about itself. An accelerator writing checks at $330K to $2.5M post-money only needs a $33M to $250M exit to work. Your seed at $5-10M post requires belief in a $500M to $1B outcome, and a Series A investor underwrites a path to roughly $100M a year, which is why $1M ARR is not enough. Dilution eats 50%+ by exit. Three escape valves get named, including customer-funded growth and capital that does not need 100x.
2026.08.21·thefounderplaybook.hustlefund.vc·4 min read·TLDR Founders Linear Agent can now set up, run, and test code before returning its work. Coding sessions now automatically adapt to each codebase's configuration. Once the application is running, Linear Agent tests it in the browser, where users experience it. If the agent finds a problem, it can make a fix and rerun the test before returning the work. Linear has also introduced more transparent pricing and made AI credit usage easier to understand and control.
Slack Code creates temporary channels where teams and agents can work together on a specific task or project. The channel is archived automatically when the work is done, but the context remains searchable. Code channels follow Slack's enterprise-grade security and permissions model. They make it easy for anyone, even non-technical employees, to see what an agent is building, review previews, and share feedback directly in Slack.
TLDR is hiring a GTM Engineer to join our Applied AI team and own our AI-native GTM stack. We're looking for someone comfortable building AI agents and working with HubSpot. Click here to learn more [15]!
Shipping code is not the same as shipping revenue. Confusing the two is an unforced error. If you haven't prepared great market-readiness ingredients, you just have another unsellable software. CEOs need to identify the next revenue to bottle next when code development is faster than selling.
AI acquisitions require code-level diligence because ARR and growth cannot reveal whether proprietary technology is defensible or merely a model wrapper. Buyers should score model dependency, data moat, talent concentration, and substitution risk before signing or assigning premium valuations.
Just because a salesperson was pretty good at their last role doesn't mean they'll be good at your startup too.
The Meta Startup School is a three-month-long program built to help early-stage consumer brands accelerate growth.
Organizations should integrate AI across all functions to align with business outcomes, rather than keeping it isolated in pockets.
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Meet the leaders moving money forward.
See how growing teams use Plaid [5] to build trust, reduce friction, and create better financial experiences at scale - featuring brands like Gemini, HealthEquity, GoFundMe, and H&R Block.
Through written interviews with product and engineering leaders [6], you'll discover how these companies built customer experiences that drive growth, such as:
>> Recurring ACH contributions
>> Linking banking and identity data
>> Replacing microdeposits with instant verification
This video compares the new products xAI and Cursor have shipped recently. It covers what's worth your attention, what's overhyped, and what's worth spending time on. Grok Bot's multi-account connectors feature is making developers switch over to the service. Cursor Origin is an agent-native GitHub replacement, but it's still too early to completely switch over.
Five growth stage investors describe how AI era reporting bent the standard metrics, with ARR now often meaning annualized run rate, contracted ARR mixing signed bookings with unproven capacity, and NRR inflated by converting small pilots into contracts.
AI makes drafts faster, so the extra capacity can go into more passes at stronger ideas. As building gets cheaper, the advantage will move towards teams that can turn abundant creation into work finely tuned to the customer. Teams that know the customer and the system can pull at its assumptions, correct the details, and tighten the story, so that by the time work reaches stakeholders, it carries the judgment of the team. The instruments are already in everyone's hands - the hard part is deciding what deserves to be heard.
Checkout X replaced Shopify's checkout and grew to $8 million ARR. Then Shopify locked down checkout and the business died overnight. The same founder's second product, an AI sales agent for ecommerce called Zipchat, now does $167,000 a month across 700,000 conversations. The rebuild ran on different rules. He stayed lean until $50,000 MRR, absorbed roughly $20,000 a month in losses for almost a year, then took revenue-based financing instead of venture money. Against more than 100 lookalike Shopify apps, distribution runs on YouTube, SEO, partnerships, and over a million outbound emails a month.
Faire had a team of under 10 people just 9 years ago. Now, the team has grown by over 100x and operates in 34 countries, connecting hundreds of thousands of local retailers with 20 million products from independent brands. Even at the beginning, Faire's founders had remarkable clarity about what they would accomplish. This article shares lessons learned at the startup on how to build a fast-growing company.
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By the time a technical buying decision reaches procurement, the shortlist is already decided. The vendors on that list are not the ones with the best pitch but the ones the decision makers already recognize. TLDR reaches CTOs, engineering leaders, product managers, and founders while they evaluate tools and platforms for their work. 8 million read TLDR daily to stay informed about what shipped in their space. Sponsor TLDR and get on the radar of the people who will make or influence that buying decision [13] before procurement gets involved. Early recognition compounds. Become a sponsor [13].
Clay has launched Workflows in open beta for all customers on all plans. A workflow is a visual graph of connected steps. After being triggered, each record moves through the branches one at a time, and the results write back to Audiences, the data layer in Clay. This post discusses why Clay moved orchestration out of tables, the product its team almost built instead, and a demo of two real Workflows.