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‘Savage' marketing thrives on clever context and timing. Highlight why customers switch from competitors and make it visible on your homepage. Use simple hacks like a direct follow link to boost social proof. Turn common fears or frustrations into humor that punches up without looking insecure. Humanize AI or exaggerate minor competitor missteps to create shareable moments.
This technique turns familiar idioms or sayings into B2B ad headlines by swapping one word for its opposite. Start by generating a list of common phrases, then flip a key word to create a fresh, attention-grabbing twist. AI can help suggest options. Finally, pair the new headline with a CTA and brand logo. This approach makes ads feel familiar yet surprising.
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Most AI answers are shaped by third-party content you don't own—listicles, comparisons, niche publishers, and communities like Reddit.
ABM isn't a tactic, it's how enterprise customers actually buy. This webinar, on February 11, will cover which tools are worth using and how AI can speed processes without adding noise. Learn how to define audiences and buying groups and how to measure success when traditional lead metrics don't capture impact. Speakers include the CMO of Hightouch, the VP of Growth Marketing at Snowflake, and the Director of Growth Data Science at Ramp.
Webflow built a practical 29-item AEO checklist to benchmark strengths, identify gaps, and prioritize what matters as AI search evolves. It can also be exported into a CSV file.
Amazon is testing a new MCP Server that lets AI agents connect directly to its ads platform and turn simple prompts into full ad campaigns. The server translates natural language into structured campaign actions and reduces multi step workflows like account setup, reporting, and country expansion into single prompts. It supports AI platforms and works with custom AI agents, while staying compatible as Amazon APIs change. It also expands on an earlier Ads Agent tool that enabled conversational control inside the ads console.
Synthetic personas simulate user behavior using real data to speed up AI prompt tracking. They solve the cold-start problem and reduce research time and costs by up to 70%. Teams can test concepts, explore micro-segments, and filter options before real validation. Each persona is built from job-to-be-done, constraints, decision criteria, and natural language to predict query behavior. They are a tool for exploration, not final decisions, and must be validated with real users to avoid bias and false confidence.
Anthropic is building Claude as a friendly, values-driven AI. It uses warm branding, public stances, and a focus on safety to contrast OpenAI's defensive, product-first image. The company's growth is powered by a strong enterprise strategy, including token-based pricing and specialized coding tools, which give it an edge in high-value markets. Trust and brand perception act as a multiplier, making Claude a safer choice for sensitive decisions.
A list of Super Bowl ads rated from A (ie. Levi's, Anthropic) to F (ie. Coinbase, ai.com).
Low frequency streaming looks efficient because of past brand conditioning, but capping frequency erodes memory and hurts performance.
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Most teams only discover broken flows after metrics tank. FlowAI Insights [4] by Userflow [5] changes that.
AI has made extraordinary capabilities feel mundane while quietly shifting the bottleneck from execution to judgment. The real risk is not job loss in tech, but how few people have access to tools that could fundamentally change how they work.
AI coding agents are collapsing feature backlogs and redefining software velocity. The winners will be teams that pair agentic engineering with strong human judgment about what to build next.
Product teams often mistake what is loud and measurable for what is valuable. Real strategy requires resisting dashboard-driven noise and defining success on your own terms.
When shipping outpaces adoption, velocity turns into waste. The winners will be teams that stay fast while being ruthless about what deserves attention.
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This is a paid 2 month product residency, during which you will partner with members of Mozilla's New Products team to explore, identify, validate and build product concepts. If you want to help build the web and AI tools that you want to see in the world - Apply
The Replit failure highlights why autonomous AI agents are risky in production. For most teams, workflows with constrained LLM components are safer, faster to ship, and easier to trust.
A bash orchestrator that runs a numbered plan sequence through an AI coding harness, with logging, stateful resume, validation checks, and optional git automation. It can also run a final review that generates audit notes and structured fix plans.
Post-mortems fail when they focus on behavior instead of systems. Real learning happens when concrete system changes make the same failure harder to repeat.
AI sharpens the conflict between control and collective sensemaking. It can expand shared context and creativity, or it can accelerate centralized, technocratic control. The outcome is still undecided.
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This tutorial covers everything you need to build an AI agent SaaS feature that takes action in users' external apps.
AI boosts the appearance of productivity, but polished outputs often mask untested assumptions.
In 2025, apps overtook games in mobile revenue as subscriptions and generative AI accelerated growth.
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If QA is a bottleneck on your software engineering team and you're releasing slowly because of it, you must check out QA Wolf.
SpaceX may be considering building a mobile device designed to connect directly to the Starlink satellite constellation. Elon Musk has acknowledged the idea of a potential mobile device, saying that a Starlink phone isn't out of the question. Starlink has become SpaceX's dominant commercial business, generating about $8 billion in profit last year. The company currently serves over 9 million users worldwide with more than 9,500 Starlink satellites.
Apple plans to release a slew of products over the next several weeks. The iPhone 17e is set to launch imminently at $599, and updated iPads with Apple Intelligence will be coming soon. There are also several Macs coming shortly, including new 14-inch and 16-inch MacBook Pros, a new MacBook Air with an M5 processor, and upgraded Mac Studio desktops. Apple is launching a new low-cost MacBook in the first half of the year designed to compete with less expensive Windows laptops and Chromebooks. Other releases later in the year include iOS 26.4, Apple's first foldable iPhone, a MacBook Pro with an OLED screen and touch support, and the iPhone 18 Pro and Pro Max.
SpaceX will delay a mission to Mars planned for this year to instead focus on a long-promised lunar voyage for NASA. The company is targeting March 2027 for a lunar landing without humans on board. Before heading to the Moon, SpaceX will need to demonstrate that Starship can be frequently launched and refuel while in orbit. Blue Origin is pushing to beat SpaceX to the moon with its own moon-landing system. It has paused its suborbital tourism business to also focus on lunar efforts.
Blue Origin engineers have been debating for over 15 years whether the upper stage of New Glenn should be fully reusable or to ruthlessly cut its manufacturing costs. A new job posting for a director of upper stage development suggests that the debate may be swinging back toward reusing the upper stage. With the planned upgrade to New Glenn, an upper stage may cost around $100 million to manufacture, putting pressure on the company to find a pathway to reuse. Upper stage reuse is still a new field, so the new director has their work cut out for them.
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Clerk's new Client Trust feature detects and blocks automated login attempts out of the box. No config, no extra cost.
The Agentic Moment has profoundly changed the economics of software. Creating high-fidelity clones of SaaS applications was always possible, but not economically feasible. These clones can be used to validate at volumes and rates that far exceed production limits and allow for the testing of failure modes that would be dangerous or impossible against live services. This is handy when developing tests for software factories, non-interactive development environments where specs and scenarios drive agents that write code, run harnesses, and converge without human review.
Vouch is a community trust management system. It requires people to be vouched for before they can interact with certain parts of a project. People can be explicitly denounced to block them from interacting with a project. The implementation can be used for any project on any code forge. Vouch lists can be configured to read other projects' lists of vouched or denounced users, so projects with shared values can share their trust decisions with each other.
The opening has been engineered out. However, the endgame is still an unknown playing field. Elon Musk skips the middlegame, and it works - SpaceX and Tesla are examples of terminal endgame reasoning. Endgame play is a symptom of simulation: Musk simulates forward and treats everything between here and the terminal state as bottleneck. However, it's important not to confuse simulating an endgame with arriving at one. The ability to model the terminal state doesn't mean that the terminal state is close.
Anthropic's employees often describe it as a hive mind entirely run on vibes. There is a lot of chaos, and it is not run like any other company of its size. Anthropic has yet to bother with becoming 'professional', yet it is clearly in the middle of a Golden Age. Organizations reflect their leaders, so this chaos is likely intentional.
Claude's new fast mode, currently in research preview, is 2.5 times faster, but costs 6 times the normal price.
The markets are underestimating the moat that SaaS companies have in the short term, but in the long term, agents will create a ton of disruption.
The best software for an agent is whatever is best for a programmer.
A lot of the computation for basic AI functions will happen on users' devices in the future.
The cost of servicing tech debt will drop in time because of AI, so developers are better off taking on more tech debt in projects on the bet that LLMs will clean up the debt in the future.
Today's crypto networks pass value through instead of compounding it, but once someone figures out how to retain and reinvest value the way a great business does, tokens will become equity in all but name.
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Human judgment breaks down without systems, and AI quality follows. Welo Data [4] provides the scaffolding that both humans and AI need to practice robust evaluation at scale.
Anthropic is making a faster version of Claude Opus 4.6 available as an early experiment via Claude Code and its API. Fast mode is more expensive to run, but it is 2.5x faster. It is designed for urgent, high-stakes projects. A link to the waitlist for the feature is available in the thread.
Meta AI is reportedly preparing to release new models named Avocado. It is also adding MCP support and a Memory section to its settings menu. Meta AI has revamped its website to include a lot of additional functionality. The company appears to be working on an AI agent and a browser agent, and a new feature called Tasks that will allow users to schedule recurring executions of Meta AI.
Nvidia achieved a historic milestone by briefly surpassing a $5 trillion market valuation, driven by overwhelming demand for its AI chips and dominance in data-center accelerators. Its advanced Blackwell and Rubin GPU platforms power the bulk of large-model training and inference workloads, underpinning investor confidence in continued AI infrastructure growth. This valuation reflects Nvidia's central role in the AI economy and illustrates how hardware leadership translates to extraordinary market value.
Cursor scaled a system where thousands of agents collaboratively coded a functioning web browser with minimal human input, highlighting progress toward autonomous software development.