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This free Chrome extension measures how long it takes a visitor to reach an answer on the page they're reading. It's designed to help spot why visitors bounce before they convert. To use it, open the side panel, set your question and reading speed, and click the element that contains the answer.
Quora ranks for over 191M keywords and is frequently cited in AI-generated search results. With 410M monthly organic visitors, the platform aligns user intent with content structure, as visitors typically look for specific answers during mid-funnel research. Content that follows a structured format, such as answer, explanation, example, and takeaway, has a higher likelihood of being extracted by AI platforms. Quora Spaces serve as thematic repositories for educational content, and paid tools like Promoted Answers and Lead Gen Forms support on-platform engagement and data capture.
Innovation alone doesn't sustain market leadership. Brands win by pairing it with marketing innovation. SharkNinja outpaced Dyson by investing 20-25% of revenue in agile marketing versus Dyson's 2-4%. Similarly, Alo and Fabletics surpass Lululemon through storytelling and influencer strategy. The strongest brands blend product and marketing innovation through collaboration and adaptability.
Too many orgs reward marketing for quantity and sales for quality, setting them up to clash and fail. Instead, focus on bringing high-fit, high-LTV leads that sales can confidently close. Tactics include passing product usage insights back into content and campaigns, and syncing on a shared success metric like pipeline velocity. Real alignment means using sales feedback within 48 hours and creating evergreen marketing loops powered by real customer data.
The Meta Pixel improves ad performance by tracking user actions and sending data back to Meta Ads for optimization. One merchant increased its conversion rate from 0.3% to 27.0% after correctly setting up the pixel, showing how vital accurate tracking is. Shopify integrates the Meta Pixel and Meta's Conversion API to measure results, identify target audiences, and refine ad strategies based on real purchase data.
Updates include the expansion of Google's ‘try on' tools, new languages for AI Mode, and ChatGPT's direct integration with apps.
Habits include building a response library, tracking monthly top posts, and celebrating small wins.
for those ready to meet it * How AI is saving teams time — and what they _still_ can't find time for * Tips for investing in experimentation and product ops, based on Atlassian's own product development experience.
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Your product manager friends are stressed. Really stressed. Atlassian surveyed 1,000+ of them - and most are convinced they're heading for failure.
Non-digital companies can't copy tech's product models wholesale. True change means linking teams, strategy, and outcomes across a complex ecosystem, not simplifying it away.
Many teams use AI to handle interview synthesis, but this shortcut can erode empathy, context, and research skill. The most effective approach is human-led synthesis supported by AI as a partner - using it to organize notes, surface new insights, and accelerate learning without losing the human depth that turns stories into strategy.
Organizations thrive by balancing speed with focus. Strategy works best when the Architect builds structure, the Strategist adapts fast, the Opportunist drives discovery, and the Perfectionist safeguards standards.
Leaders often have a strategy that they just haven't put into words. The key is to draw it out by asking thoughtful questions, drafting what you've heard, and shaping it into a clear plan they can refine and own.
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Miro's free learning path [9] covers key product management workflows: roadmap planning, user-centered design, interactive prototyping, and more. Learn how you can use visual collaboration to increase productivity and get more done. Access the full learning path
Product leaders are drowning in scattered feedback, making it hard to see what customers truly need. With Productboard Pulse, AI turns this noise into insight - helping teams connect the dots, build smarter, and lead with clarity in a new era of customer-centric product management.
AI discovery is emerging as a major GTM channel. Docebo grew AI-sourced leads 429% by focusing on brand visibility, late-funnel content, and AI-powered content automation.
OpenAI's expansion threatens startups built on its tech. The winners differentiate through sharper focus, richer UX, niche depth, proprietary data, and real defensibility.
The next year of AI products will define how people interact with technology for years to come. Teams that focus on clarity, emotional connection, and real user behavior - rather than cleverness or lean dogma - will be the ones to shape lasting habits and meaningful innovations.
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Swap LLMs on a prompt-by-prompt basis to control costs, improve quality, and guarantee uptime. Build without vendor lock-in and without managing multiple subscriptions and APIs. See how prompt
AI is reshaping how engineering leaders work: it's helping managers code again, thrive on deep data context, and make better decisions by focusing on process quality over outcomes.
Innovation isn't about chasing trends but creating them through curiosity, frustration, and timing.
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Testing slows developers down. Every hour spent investigating failures, fixing flaky tests, or running regressions delays releases and limits what your team can ship.
with expert QA engineers to build and maintain 80% automated coverage [7] in weeks, not months. Tests run in parallel, suites finish in minutes, and failures are real—not false alarms. Workflows stay current as your app evolves, and brittle tests are repaired automatically.
Apple's shift to smart glasses suggests that the company no longer views the Vision Pro approach as a viable mass-market platform. The company doesn't invest heavily into products that lack the potential to become mainstream hits, and it doesn't chase niche markets. Smart glasses are a much more portable and practical form factor that could one day evolve into a future iPhone replacement, something the Vision Pro can never achieve. While Apple may someday decide to make the Vision Air after all, the decision now to focus on smart glasses is the logical path.
Andrew Tulloch, one of the co-founders of Mira Murati's Thinking Machines Lab, has left to join Meta. Tulloch previously worked at Meta for 11 years. He is a leading researcher in the field of artificial intelligence and worked at OpenAI before co-founding Thinking Machines Lab. It is unclear what team he will be on at Meta.
Sukunaarchaeum mirabile is a cellular entity that offloads certain biological functions onto hosts like a virus, but it also contains the necessary genes to create its own ribosomes and messenger RNA. With just 238,000 base pairs of DNA, Sukunaarchaeum pushes the conventional boundaries of cellular life. Its discovery highlights the vast unexplored biological novelty within microbial interactions.
Darwin Monkey, also known as 'Wukong', is a supercomputer built to emulate a monkey's brain structure. It features over 2 billion artificial neurons and more than 100 billion synapses, roughly on par with the neural structure of a macaque. The supercomputer will serve as a tool for neuroscientists while also acting as a stepping stone toward artificial general intelligence. It consumes just 2,000 watts of power despite being powered by 960 Darwin III neuromorphic chips, each supporting up to 2.35 million spiking neurons.
Ghotty's unobtrusive update notification feature was largely developed with AI. This post shares the agentic coding sessions that led to shipping the feature. It provides context about the process and reasoning. AI is best used as an assistant and not a replacement. While AI can do a lot of the work, developers will almost always still need to intervene at times.
TBPN (Technology Business Programming Network) is a show where Jordi Hays and John Coogan chat about the worlds of tech and business. The show became a sensation practically overnight after its first episode aired last October. Executives from OpenAI, Palantir, and Andreessen Horowitz appear regularly on the show. The show's audience is relatively small, but it considers CNBC and Fox Business to be its competitors. Its fans include Larry Ellison, Mark Cuban, and Travis Kalanick.
When Andrew Bosworth started Meta's Bootcamp program in 2008, he didn't teach the culture as it was: he taught it as he wished it were. New engineers didn't know the difference. The company grew fast, and within a year, more than half of the engineering team had learned about the culture from him. When onboarding in a high-growth organization, you aren't just teaching people how things work, you're deciding what kind of company they believe they've joined.
Prediction markets are perfectly suited for the zeitgeist right now.
Anthropic's new plugin system for Claude Code gives the agent new skills it can use to complete tasks.
Sora enables everyone to become a potential creator of your content.
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TLDR AI is your daily fix of LLMs, GenAI, and deep learning goodness. Same TLDR format. Still free.
The reason why some people have to work 12 hours a day is because their ideas aren't good enough to survive on eight.
The capacity for solitude, sustained attention, and meaning that penetrates inward is being lost as people increasingly consider short-form video as the definition of American success.
There have been over 1,800 posts on the subject of Python lock files since 2019.
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30% of employees are secretly using AI [4], and while it may make them more productive, unsanctioned AI use creates serious data and compliance risks.
He had previously turned down an offer from Meta for $1.5 billion over six years, and Thinking Machines CEO Mira Murati had declined an acquisition offer for an undisclosed amount.
Veo 3.1 marks a noticeable step forward in prompt fidelity and visual/audio quality. It doesn't have the same issues as Veo 3, like occasional oddities with object proportions. The model demonstrates a better understanding of nuance, creating videos that closely match prompt intent. Traces of the model have appeared in Vertex AI and Google Vids. An official release is likely in the coming weeks.
xAI has joined Meta and Google in the race to develop AI systems that can navigate and design physical environments. The company is building world models with the goal of applying them in gaming. These models could be used to generate interactive 3D environments and unlock uses for AI beyond software and computers in physical products. Elon Musk announced on X that xAI would release a 'great' AI-generated game before the end of next year.
Not yet, but it's close. GenAI is a demand-led, capital-intensive boom with revenues doubling annually and expected to hit $100 billion by 2026. Capital expenditure to revenue ratios (six times) are high, exceeding both railroads (two times) and telecom (four times) at their peaks, but there are other indicators: economic strain above 2% of GDP, industry strain with capex over 10x revenue, revenue growth slowing below 50% annually, price-to-earnings ratios hitting 50-60, or internal cash covering under 25% of capex. Until two of these are met, the current risk, while large, is manageable.
Embeddings are a fundamental component of every modern retrieval augmented generation system. This post shows what computations are required to produce an embedding and how this can be used to calculate the true dollar cost of processing a token. The cost of processing a token is minuscule, and all embedding models converge to similar semantic representations, so no provider really enjoys a sustainable moat. This results in prices racing to the bottom as the underlying low costs are being passed directly on to consumers.