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AI is changing hiring faster than many organizations can adapt. Companies are changing how they think about who they hire, when they hire, and why. Competitive advantage is increasingly shifting toward judgment as AI lowers the cost of execution. Traditional markers of pedigree still matter, but they are becoming less predictive than evidence that someone can learn, adapt, and operate in unfamiliar requirements.
Deterministic systems should be used to establish context. Large language models should be used to reason over that context. Models shouldn't be used to establish whether something has happened or what the current state of a system is. Systems should be used to assemble that information into context so that models can interpret, connect, reason, and synthesize.
The discovery layer and the infrastructure layer have never been equally measurable. The industry puts all of its attention and spend into the layer where the numbers are contested, produced by interested parties, and unstable across instruments. The layer that determines whether agents can transact with them at all returns a clean pass or fail on every check. Both citation and infrastructure matter, but infrastructure is what gets you transacted with.
This is the person on the other side of your renewal itemizing how he decides to cancel. A working CFO lists what he is cutting and why, including a workflow tool that quoted him double what he pays for Claude and a $ 50K-a-year point solution whose function a larger vendor now bundles for free. His own playbook is opening renewal conversations four or more months early, and he reckons 30 to 60 minutes of demoing alternatives buys enough negotiating power. Backdrop is the Bessemer cloud index up 55% in six months, its highest since early 2022.
Teams using coding agents open 6x more pull requests than traditional teams and 3x more than they did in 2024, according to Linear's report on AI usage in software teams. Review load is climbing faster than anyone's model of the job, which is the likeliest way your first engineering manager hire burns out. Managers already see only about 40% of what a report does in a day. The squeeze lands hardest on engineering managers and tech leads: the people expected to write code and manage at once.
WorkOS Relay proxies third-party agent API calls and injects the credentials at the boundary so prompt injection attacks are unable to steal tokens. It lets apps call third-party APIs on behalf of users without directly handling secrets. Requests are proxied through WorkOS, where credentials are swapped in based on the user and organization context. Relay is still in early access, and access requires contacting support.
Figma has introduced generative plugins and shaders to the canvas to give users a way to design the tools they need, when they need them. Users can publish plugins and shaders to the Figma community or privately within organizations on Organization or Enterprise plans. The agent can build motion and interactivity into any effect, and users can view and download the code behind any shader or plugin. The Figma MCP server can be used to view, change, and export generative plugins and shaders.
Adaptive Intelligence is a new bot detection engine from Cloudflare that makes getting through so slow and costly that attacks stop being worth running. Not every attack is obvious to spot, and the economics of deterministic detection are always in the attacker's favor. Adaptive Intelligence makes sure that nothing attackers learn stays true, so each new attempt costs more than the last. It recognizes bots without visibly reacting to them and treats detection as a statistical judgment, weighing many signals at once so there's no single piece of logic for an attacker to isolate and beat.
Agent scaling is about how cleanly a system allows agents to work in isolation without stepping on each other all the time. This requires expertise in the problem domain, a keen eye for good architectural decisions, and good measurement. Coding is the easy part of writing software - it's everything else that takes most of the time. There's only so much you can streamline before you start losing a significant amount of quality.
"Enshittification" isn't real. Social media platforms change to meet evolving user needs, not to worsen user experiences. Despite complaints, user satisfaction and engagement with platforms like Instagram continue to rise. Critics mistake platform evolution and user dislocation for deterioration, but the data shows that people use these platforms more, not less.
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Zoom Phone adds a business line, team extensions, and AI call summaries, right inside the Zoom app you already use, from
An open-source coding agent shipped a release carrying 16,000+ merged pull requests from 933 contributors, about half of every PR ever merged into the project, after a seven-week pause to rebuild foundations that followed 106 releases in 230 days.
Lying with data occurs when decisions lack proper retrospective analysis and disregard the Null Hypothesis.
Shopify users can now use a Stripe account for setup and billing across all providers.
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The first question buyers are asking today is "can my agent run this." Are your APIs AI-ready? Restless [5] gives agents the tools to create, debug and run smoothly on your API. It handles everything you need to make you agent-ready: >> AGENTIC API PORTAL [6]: API Documentation is for reading, Restless is for building >> AGENT RECOVERY: Keep agents moving forward by putting docs where they can see: right in the API response >> FULL API LOGS: Watch customers build on you in real time, call by call
Software M&A is on pace for its second busiest year ever, though SpaceX's $60 billion acquisition of Cursor accounts for half the annualized deal value, and removing it drops total dollars near a decade low. If you are weighing another point of growth against another point of margin, Kroll's data answers it. Companies growing above 20% trade at 7.2x revenue versus 4.1x for 10-20% growers, and margin gains past 25% barely move the price. Category framing carries similar weight, since engineering software and HCM share a 46% Rule of 40 yet trade at 5.2x and 3.0x.
Short-drama apps are 6.5% of the highest-grossing entertainment apps and 38% of the downloads. RevenueCat found 5.5% of its installs became paying customers within 35 days, against 1.6% for other entertainment apps. The reason is portable. The ad, the cliffhanger, the free episodes, and the paywall were built as one continuous experience rather than four steps owned by four different teams. Retention is where it falls apart, with 31.1% renewing after the first purchase compared with 44.3% across the broader category.
Product-market fit has always been a treadmill, but the AI innovation cycle is making it go at a much faster pace. Founders now need to be concerned about whether they're compounding fast enough to keep their product-market fit. Teams that compound customer usage into model performance run faster. The teams pulling ahead are building for the intelligence they expect to have in six to nine months.
Report a number, and people will evaluate it. Stay pre-revenue, and nobody can do the arithmetic on you. You get priced on what you might eventually be worth instead of what you actually earned.
Growth Unhinged is about to pass $1M in annual revenue as a one person business, and its author published the books. More than 88,000 subscribers and roughly 700 premium ones support it with zero employees. That's rare. Most of the money is brand partnerships at 55% and consulting at 25%, with subscriptions at 10-15% and speaking at 5-10%. The fastest moving line in the acquisition mix is ChatGPT and Claude referrals, up from 6% of new subscribers in February to 15.6% in August, while 940 paid beehiiv recommendations cost $1.96 each.
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You built your website with Claude Code. But who runs it? Fimo.ai [13] gives you agents that improve your website while you sleep (or ship): SEO, content, translations... The site keeps improving while
Slackbot's latest updates enable the agent to start scaling with teams rather than just answering one person at a time. Big Mode gives the agent room to do deep research, multi-step analysis, and real drafting. Skill Sets lets teams bundle related skills and roll them out together in one click. Deep Research can analyze organizational data and the web and synthesize its findings into a report with citations.
ChatGPT Work is actually two products: Work Cloud runs in the cloud, while Work Local, the app that used to be called Codex, is more like a regular Codex re-skinned to be less intimidating to non-software developers. ChatGPT Work is currently available only to $20/month and up subscribers. It is designed for completing tasks with clear outcomes, with features such as a code execution environment with Internet access, a headless Chrome browser, a persistent file system shared between sessions, scheduled prompt automations, and more.
Founder-market fit is a big part of a startup's search for product-market fit. The most important factor is whether founders deeply care about the problem and how passionate they are. Experience is an obvious advantage, but it only counts when the passion is still there. When founders spend years on a problem, they come out knowing that space better than almost anyone else. This doesn't disappear with the outcome, and founders can take that experience with them into whatever comes next.
Product merit used to be closely tied to human usability, so developers created attractive interfaces and intuitive workflows. UI is still important for jobs where people operate the product directly, but agents will increasingly start operating every part of every product. This means over time, familiarity and learned workflows will exert less influence over whether customers stay. Businesses will have to earn their place in customers' workflows even when the customer no longer sees their interfaces. This changes what usability, differentiation, and loyalty mean.
mint signup is a CLI command that creates a Mintlify account from the terminal so coding agents never have to open a browser to get started.
Roughly half the RSVPs just never show up.
Rebuilding isn't the moat - the sales motion is, and AI hasn't made that cheaper.
A thought experiment compares two $3 million pool companies with the same two-person support team, where revenue per account divided by weekly issue contacts leaves one with 95 minutes to solve each problem and the other with three.
In a story from 1997 retold this week, a realtor captured 20% of listings in a 2,000-home neighborhood by sending one useful postcard each week for eight weeks before the fall selling season, arriving while future sellers were still forming their plans.
If you want a high-performance workforce, then pay for it.
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You started the company from your own phone, until customers, contractors, and cold callers all had your personal number. Zoom Phone [4] gives your business a dedicated number and tools designed to grow with you. ✅ A dedicated business line and team extensions ✅ Zoom AI that summarizes calls and transcribes voicemail ✅ Global calling in one app as you hire
CEOs truly rebuilding for AI rather than just adding features face significant challenges, with many only 40% complete. Examples like Fin's four-year rebuild leading to a $3.6 billion exit highlight the difficulties, as most companies experience modest growth rates of 10% to 30%.
US startups are increasingly switching to Chinese AI models due to significantly lower costs. Chinese models dominate OpenRouter traffic, largely displacing US-developed systems, as cost differences are vast - DeepSeek offers services at $0.14 per million tokens, compared to OpenAI's $5.00. However, this shift raises concerns about data privacy and security risks, with US lawmakers investigating potential cybersecurity threats from these models.
Lazyweb grew to 50,000 signups with $0 market in a couple of months. Its founder built the product in public and focused on reducing friction for agents using their product. This post reflects back on what worked and what didn't for the startup.
How long your AI agent stays alive between resets is a product decision, and the data here says the long-lived ones quietly forget their instructions. This essay proposes a coordinator agent that lives a day, specialist agents that live about 30 seconds, and state written to ordinary files rather than held in the agent's head. It cites research where squeezing a conversation down to fit dropped standing rules in 30 to 59% of runs. Memory quality falls as it grows across every frontier model tested. Memory carried between sessions is also somewhere an attacker can plant text.
Claude is now the reasoning model behind Salesforce's Atlas Reasoning Engine. It also powers Agentforce Vibes and Agentforce Coworker by default, and is available in Agent Builder. Slack is now also powered by Claude. Salesforce for Claude is a plugin that gives sellers 37 prebuilt sales skills that work inside Anthropic's own interface rather than inside Salesforce's.
Cohere Parse is a cost-effective vision language model for processing large volumes of enterprise documents. It converts complex, multimodal files into structured machine-readable data. Parse detects and understands key visual elements and can process documents and images across nine major world languages. It can be accessed through the Cohere API for just $1.50 per 1,000 pages.
A fund that buys into the top slice of YC batches just published what it now reads into your Demo Day valuation cap. If you raised at one, an investor somewhere is running this math on you. The fund looked at 642 companies from the 2021 through 2024 batches. Companies priced above their batch median reached a Series A or beyond 25% of the time, against 8% for those priced below, and shut down at 6% versus 16%. The pattern holds inside each batch and among companies the fund passed on. Median caps went from $15M to $40M between W21 and P26.
AI-era businesses are far more distributed than ever before. They are increasingly forming in the outer suburbs rather than in city centers and high-density areas. The companies that are most responsible for AI development itself continue to cluster in major metro areas. AI-era business formation appears to be broadly distributed across the US, but major metro areas are seeing below-average business formation relative to their sizes.
No one wants a half-finished spaceship or just a shiny idea.
Listen Labs used a cryptic billboard in San Francisco to attract top engineering talent by challenging them to decode AI-related tokens.
Connecting with your customer and market and listening to your organic marketing efforts will enable you to see trends and opportunities before they show up in third-party data sets.
Bank Statement Converter is seeing more people canceling subscriptions and fewer people buying subscriptions, possibly because people are using AI to convert their bank statements.
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40% of companies heavily using AI say inflation actually _helped_ their business this year… only 12% of non-AI adopters say the same. That contrast turned up everywhere in Mercury's survey of 1,500 early-stage founders & builders: the companies leveraging AI the most are raising more, hiring differently, and reporting a different macroeconomic picture. Read Mercury's new report to explore: * The 31-point confidence gap between heavy AI adopters and everyone else * What startups spend on AI each month * What junior hiring looks like at AI-forward companies and beyond