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Most agents send email from a borrowed human inbox or a homegrown SMTP setup. Nylas Agent Accounts [5] give your agents their own hosted email and calendar identities that they can use to reply, book meetings, and do anything else with the Nylas API.
Large Go test suites often face slowdowns when thousands of SQL migrations are applied serially for every individual test. To address this, a content-addressing system identifies a "golden" database file by hashing the contents of all required migration scripts. If a matching database already exists, the system clones it instantly using a backup API, whereas missing versions are lazily generated and cached for subsequent runs.
British Columbia's shift to a permanent UTC-7 offset in 2026 shows the risks of storing future appointments in UTC-based database columns, which can lead to unexpected one-hour shifts in local time. These columns convert timestamps based on the rules available at the time of entry, so subsequent updates to time zone data can cause the stored UTC values to no longer match the user's intended wall-clock time.
Both SVG and PDF file formats have underused specs that allow for the integration of interactive layers and programmable scripts directly within a document. While SVGs can host self-contained applications using embedded JavaScript, PDFs use a specialized API that often struggles with compatibility across different viewing software.
The United States government recently used export-control authority to force the shutdown of powerful AI models like Mythos 5. This unilateral action is considered reckless by many security experts because these models are necessary tools for defenders to identify and patch vulnerabilities in global software infrastructure. Since comparable AI capabilities are already being released by international labs, domestic shutdowns do not eliminate risks but instead deprive local developers of the resources needed to counter emerging threats.
JSON Web Tokens should be avoided for managing user sessions because they are insecure and were never intended for long-term authentication. Traditional cookie sessions are a more reliable alternative, with better flexibility and protection against common security vulnerabilities. Truly stateless authentication is largely impractical, as secure token management usually requires a persistent data store to handle revocations and expiration properly.
The evolution of technology has seen information move from physical disks and bulletin boards to the open Web and mobile apps, and it is now shifting toward centralized AI interfaces. This new model replaces traditional search-and-click habits with direct, conversational answers. As AI becomes the primary gatekeeper, websites are transitioning from being human destinations to serving as background infrastructure that feeds data into machine learning models.
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Run clerk deploy from a linked project and the Clerk CLI walks you through everything production needs: instance clone, DNS records (exportable as a zone file), and OAuth credential setup for Google and Apple. Resumable if you're interrupted.
Nubase is an open-source, AI-native backend platform that transforms AI-generated code into live applications fast. The system integrates eight core modules, including database, authentication, storage, and edge functions, into a single self-hostable service. MCP tools allow coding agents to directly manage infrastructure, deploy logic, and handle data modeling.
LikeC4 is an open-source “architecture-as-code” platform that lets engineers describe software systems in a DSL and automatically generate live, always-up-to-date architecture diagrams from that code.
Meta has quickly dismantled its historically strong engineering culture by aggressively prioritizing AI initiatives, such as forcing engineers into data-labeling work, tracking employee activity, tying performance reviews to AI usage, and reducing autonomy that once made the company attractive. These changes have led to low morale, talent flight, organizational chaos, and even major security and reliability failures, including a high-profile Instagram account takeover incident allegedly linked to AI-generated and insufficiently reviewed code.
SpaceX has agreed to a $60 billion all-stock deal to acquire Anysphere, the startup behind the popular AI coding agent Cursor. This move will improve the company's presence in the enterprise AI market and narrow the gap with industry leaders like OpenAI and Anthropic. It will also improve xAI's Grok.
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Install skills for interacting with websites like Airbnb, Amazon, and Ramp. Your agent searches, fills forms, and books end-to-end. Optimized exploration, clean JSON, 50x lower token costs. Try the browser CLI for agents [21] → _npm i -g browse_
Claireon is an open-source Unreal Engine plugin with an MCP server inside the editor, allowing AI agents like Claude Code to search, inspect, modify, and automate nearly every aspect of Unreal development.
This is a bug-bounty-focused guide to finding and testing Microsoft IIS servers, as IIS environments are often overlooked yet frequently expose misconfigurations, information leaks, and attack paths that can lead to sensitive data exposure.
Bash allows for manual HTTP requests and connectivity checks in minimal containers by using its internal /dev/tcp redirection to open and communicate over TCP sockets without needing external tools like curl or wget.
The tendency of AI to produce over-engineered code has made manual reviews more costly, so upfront planning is more necessary now.
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Scaling sales ops usually means more headcount. Plane co-founder Staszek Kolarzowski (YC '17) took the opposite route: he built an AI engine to run his, on the way to multi-million ARR. In this founder-to-founder webinar [5], he'll give live demos of what's in production today and what you can build yourself. You'll walk away knowing how to:
Decagon CEO Jesse Zhang argues every AI market feels crowded because only a few players can win, and walks through the brutal customer-service AI sales cycle where Decagon gets compared to Salesforce and Google adding AI, pre-AI Intercom, AI-natives like Sierra, and the customer's own MVP. Speed of shipping is an advantage but not a durable one, because AI tools have compressed build-and-copy timelines so much that a feature lost in a deal goes straight onto every competitor's roadmap.
Corporate culture and agenda setting have failed engineering organizations. Data wrangling and cleansing have become more about making the data align with the business rather than making data more valuable to improve decision-making. Executives are relying too much on magic thinking. Shareholders and the board are now holding CEOs accountable for choosing evidence over comfort to right the ship.
The iconic stories of the Web 2.0 era give founders the hope that unimaginable riches are just an iteration away. AI makes faster pivots more possible. Knowing when to pivot, how fast, and toward what has become a core skill for founders in the AI era. This post looks at what founders need to think about when considering a pivot.
The winning move in AI now is to build a learning loop on top of the best model. This allows data and usage to compound into IP that nobody can rent back to you. This post looks at why this should be done and provides a blueprint for how to create a winning learning loop.
Rivian needed a new factory for its cheaper SUV, so it built the car in the old one and pocketed $2.25 billion. Its CFO's rule is to wring every last drop out of what you already own before you pour concrete, the hardware version of staffing for the work you have, not the work you hope to get. The new model pulled profitability forward instead of pushing it out, because sharing the factory spread fixed costs over more cars and made the older lines cheaper too. Revenue tripled in two years while operating costs held flat. Sometimes the cheapest way to grow is to not build the new thing.
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Startups in this program have closed deals with customers like Visa, Meta, Unilever, GM, AstraZeneca and Walmart. Build with the coding assistant used by 90% of the Fortune 100. Scale on AI-ready cloud infra backed by enterprise-grade security, privacy, and governance. Sell on Marketplace.
Z.ai's GLM-5.2 flagship model marks a substantial leap in long-horizon capability over GLM-5.1. It has a solid 1M-token context window and new capabilities. Its improved architecture reuses per-token FLOPs by 2.9x. The model has been released under an MIT open-source license.
Self-serve access to ChatGPT Ads is now open to all advertisers in the US. OpenAI crossed $100 million in annualized ad revenue in six weeks with less than 20% of eligible users seeing ads daily. 85% of free and Go tier users are eligible to see ads. OpenAI has confirmed rollout to Canada, Australia, New Zealand, the United Kingdom, Japan, South Korea, Brazil, and Mexico.
Lemkin names the "20-year tax" where loyal customers get squeezed because they've already signed, integrated, and trained their teams while new logos get war rooms, CEO involvement, and free custom integrations, a pattern running through nearly every pre-AI B2B company where the CSM rotates every 14 months and nobody remembers the case studies or referrals.
The venture-backed rocketship is just one way to build a company, and you absorbed it without noticing. Patagonia stopped chasing growth, let customers set its pace, and added a mission that cost real money, and its near-death cash scares went away. Warren Buffett took the cash off a dying textile mill's books, bought stocks with it, and grew Berkshire into a giant without raising a dollar of venture money. "Raise, grow fast, exit" is a script, not a law, and there are far more ways to win than the one everyone copies. The startup is one configuration. Is it the right one for the life you want?
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
Compute-Adjusted LTV is a new metric that measures fixed or semi-fixed AI revenue with variable compute costs.
The Rule of 40, useful in SaaS for balancing growth and profitability, often misrepresents hardware companies due to longer development cycles and upfront costs.
Slop has nothing to do with AI and everything to do with story.
The sequence of mountains is when founders fixate on the mountain in front of them, putting everything they have into climbing it, only to realize there are other mountains behind it.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
Content marketing is being rebuilt as a set of systems rather than manual workflows. Blogs move to static infrastructure so they can be updated like code. Customer conversations feed real language into content strategy. Automated audits combine rankings, backlinks, technical health, and AI visibility into prioritized fixes. A central dashboard ties everything together while humans focus on direction and review. The technical layer is not the problem since most of it is already feasible. The constraint is knowing what to build and why, and applying proper strategy and judgment so the system produces useful output.
For most full-time US parents, work and family blur together. 70% handle parenting tasks while working, 59% do work tasks around their kids, and 54% say balance is difficult. Flexibility is scarce. 71% want it, but only 25% have real control, and just 6% have onsite childcare. Remote work helps with logistics, but not balance. 65% can't work from home at all, and those who do are just as likely to struggle, even as overlap increases.
A homepage redesign increased transactions by 25% by making the brand's core differentiator clear and reducing navigation friction. Research showed customers cared deeply about product safety and non-toxic materials, but many abandoned the site because it looked cluttered, outdated, and difficult to navigate. The winning version led with a message that challenged standard safety claims, highlighted 35 years of product testing, and surfaced trust signals such as expert advice and MCS safe products. It also replaced overwhelming navigation with clear category paths and action-focused CTAs, which made it easier for visitors to find relevant products and move toward purchase.
A walkthrough of how Ryan Law goes from keyword idea to published article in 91 minutes. The workflow starts by pulling keyword data to validate which topics are trending using search volume and growth signals. That data is used to build a structured outline. He then talks through each section in rough form while the AI expands it into full paragraphs with examples and references. A stored writing guide keeps tone consistent and refines output through feedback loops. The system then formats content, adds internal links, generates charts, and publishes to WordPress.
Pages no longer need top 10 rankings to appear in AI answers, so freshness signals are key. Adding explicit dates like “June 2026” in titles helps signal relevance. LinkedIn profiles are now a major source of AI citations, especially individual posts that use bullets and clear structure. Email is also being filtered through AI tools before users see it. This makes live HTML text essential since AI can miss or ignore text embedded in images.
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If AI handles discovery and research for buyers, your site needs to work for retrieval bots, not just humans. Scrunch reveals how AI agents experience your site—what gets surfaced, ignored, and why. Get a FREE AI SITE AUDIT [11] to find content gaps and technical blockers.
ClikDeo is a free, web-based video editing platform for content creators that doesn't leave a watermark. Use it to create videos for Instagram Reels, TikTok, and YouTube Shorts. It allows you to trim videos, merge clips, and add custom transitions.
AirOps is hosting a webinar on improving AI search visibility and citation performance. It explains why ranking well is no longer enough since AI systems often retrieve content but do not cite it. The session breaks down how prompts flow into retrieval and final answers and why many pages are surfaced but not selected. It will take place on June 25 at 3 PM EST.
The same AI system running Google's paid auctions evaluates organic content and powers AI Overviews, which means the brand-training investment that improves organic visibility also improves paid performance. The clearest application is treating paid and organic as a single loop. Run PMax or AI Max to find which cohort-intent-profit combinations actually convert, then build organic pages designed precisely for those audiences so user behavior sends the engine the same signal the paid campaign declared explicitly. CPC drops when Gemini trusts a brand because the engine stops second-guessing creative, and organic rankings improve because behavioral signals align with what paid already declared.