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The recent mass layoffs at Deno are due to Deno's offerings like Deploy and JSR failing to gain developer adoption or interest. These struggled because developers largely prefer drop-in improvements for Node and NPM over a complete replacement.
As the first engineer on TLDR's new Applied AI team, you'll build AI agents to automate end-to-end workflows and lead our context engineering project to allow non-technical teammates create their own AI workflows. Learn more [16].
Acknowledging a lack of willpower, this author developed a system of working daily for an hour immediately upon waking and without digital distractions.
While AI agents rarely engage in scheming (covertly pursuing misaligned goals like self-preservation or resource acquisition), this behavior can spike from near-zero to over 90% when agents are prompted for agency or face high-stakes environmental incentives.
Curried functions in functional programming are worse than the tuple style, which offers clearer type structures and better composition, while partial application, currying's main perceived benefit, can be equally achieved with syntactic sugar.
AI will empower programmers to develop better abstractions for mastering complexity, thus making software engineering more important rather than making it obsolete.
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As your business grows, your payments and billing infrastructure can become a bottleneck. While some struggle with operational complexity, companies like ElevenLabs and Runway built systems that scale smoothly with user growth [5].
Every major technology era follows the same arc - consumer first, then enterprise, then infrastructure - and AI is no exception. The first wave of winners built directly for consumers, but the pattern from prior eras says the durable businesses will be the ones building tooling and infrastructure layers underneath. If you have seen this cycle before, the playbook is clear: the picks-and-shovels companies outlast the gold rushers. Recognizing where you sit in this arc shapes when to enter, who to build for, and how to time your raise.
85% of YC's W26 batch is AI-first, with 56 of 198 companies building fully autonomous agents explicitly positioned as AI employees targeting every $50-150K knowledge worker role, from AI accountants closing books without human touch to AI law firms staffed entirely by models. Healthcare is the largest vertical with 22 companies going after clinical work itself rather than EHR wrappers, while 13 robotics companies are actively deploying alongside a full picks-and-shovels ecosystem for physical AI.
Companies no longer need engineers to win. They need someone who treats deployment as a core job function - an agentic deployment expert. These hires are worth more than anyone else you can hire right now. They don't need to be technical, they just have to know how to use AI tools to get to deployment. Companies that don't hire an agentic deployment expert risk wasting years of work.
Posting times, hashtag counts, and emojis have almost nothing to do with LinkedIn virality - emotional architecture does. The gap between posts that explode and posts that die in silence comes down to how the information makes people feel, not what information is being shared. Think identity validation, status signaling, and tribal belonging baked into every sentence. One company went from crickets for 8 months to booking 96 calls in a single month after rebuilding content around emotional psychology instead of information delivery. Spend less time on the insight and more time engineering the feeling.
Revenue and bank balance stop being enough the moment an investor or board member asks a hard question. A fully linked FP&A model connects revenue forecasts to hiring plans, burn rate, and fundraising timelines in a single living document - change one input and every downstream assumption updates automatically. This is what lets you stress-test scenarios like a churn spike or a delayed round before they actually happen. It is also the kind of financial infrastructure sophisticated investors expect to see when you are defending your raise.
To vet a co-founder, work directly with them on a real project to gauge compatibility and efficiency authentically. Lay the groundwork for collaboration by evaluating past outputs, seeking references, and discussing values to identify potential long-term challenges or alignments. Avoid superficial interviews, and prioritize genuine trials to make informed decisions about meaningful partnerships.
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Zip Security [13] connects your identity provider, MDM, and EDR into one enforced posture. Automatically. Deploy in two weeks, pass the audit, win the deal. No dedicated security team required. Learn why security is now a sales problem and prepare for the customer audit
Supermemory is an agent memory system that achieves ~99% SOTA accuracy.
Build, test, and deploy ChatGPT apps.
Most people don't like computers and only tolerate them because they have to. They likely would rather not think about them at all, given the choice. These people might use AI, but they won't be using the technology to build their own systems and tools to maintain. They just want to get the task done.
Status update 1:1s are a waste of everyone's time, and the fix is simpler than you think. The shift that matters is moving from "what did you do this week" to questions that uncover blockers, ambitions, and candid feedback - the things people will not volunteer in a group setting. A well-run 1:1 builds trust, surfaces problems weeks before they escalate, and develops your team in ways that compound as you scale. Getting this cadence right early creates a management culture that becomes a genuine competitive advantage.
Vibecoding has quietly turned software creation into a creative act, and that shift puts a large class of consumer utilities on shaky ground.
A field report on the convergence happening across personal knowledge tools in March 2026.
The "cold start" trap hinders promising social infrastructure by requiring mass initial adoption for value, causing most projects to fail.
Silicon Valley treats scale like a moral good when it's actually just a strategic choice.
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Spending your mornings tweaking AI tools to get the results your brand needs? Looking for something beyond "caption this image" prompts?
A new global study tied to the World Happiness Report 2026 finds that algorithm-driven platforms are more strongly associated with poorer mental health than communication-focused apps like WhatsApp and Facebook. The distinction is how people use social media rather than how much, with passive scrolling and curated content linked to lower life satisfaction, while direct interaction shows neutral or positive effects. The impact is strongest among younger users, particularly teenage girls, where heavy daily use correlated with significantly lower happiness levels.
Facebook Reels performance is driven by early hooks and format, not trends. Videos with speech in the first 3 seconds see +24.7% higher 10-second retention and +5.6% more engagement than music-only content. Vertical videos boost reach by +20.9% and 30-second retention by +38.5%. Showing a person early increases short-term retention by +10.1%. For very short clips, seamless loops lift replays by +18.7% and reach by +23.6%. Prioritize voice, human presence, and vertical format to keep viewers watching.
Start small by focusing on one high-dropoff point, like onboarding or re-engagement, and build a targeted program around it. Work closely with customer success to understand real user pain points, and track behavior that signals progress like activation or feature use, not just email metrics. Repurpose existing content instead of adding tools, and formally define lifecycle as a function so it can be owned and measured. Tie your first program directly to a revenue metric like activation, churn, or expansion to prove impact before scaling.
Thread Wallets grew by turning a basic product into a personality-driven accessory and validating demand before scaling. It proved demand early through Kickstarter, where its second campaign raised $35,000 against a $5,000 goal. The company scaled fast by using micro influencers, campus distribution, and Facebook Marketplace ads, which drove a 41% increase in return on ad spend. It focused on a clear audience, which ended up being about 90% female, and used customer data to guide decisions and avoid wasted effort.
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TLDR reaches the technical decision makers who actually convert. MLOps Community found Meta drove 2x more registrations, but fewer
Most attempts at synthetic user research produce plausible-sounding nonsense due to poor setups or wrong use cases. Caitlin Sullivan, former Head of UXR at Spotify, will talk about how to use synthetic users in research at this event, which will take place on March 26 at 9:30 AM ET. The session will cover what you need to know before you waste time on bad outputs.
Most marketers get weak results from AI because their strategy is unclear or disconnected from daily work. This article shows how to fix this by building a central /marketing-strategy skill in Claude that acts as a living strategy document used in every task. It outlines 7 exercises, like ICP prioritization, positioning, and revenue levers, to create a structured and usable strategy. Teams should use this skill daily for briefs, content reviews, and prioritization so work aligns with core goals instead of random execution. Storing and updating the skill in GitHub keeps it consistent across the team and ensures strategy evolves with the business.
The internet scaled commerce but weakened customer service, turning people into tickets. Concierge-level care stayed limited to luxury brands because it's expensive. AI changes that by making always-on attention cheap and scalable. Companies can now offer high-touch service to everyone. Customer service shifts from a cost center to a driver of loyalty and revenue.
Walmart saw in-chat purchases convert at about one-third the rate of its website.
Google is testing AI-rewritten search headlines, raising concerns about publisher impact.
Social media ads aren't as disruptive or as disliked as people think.
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"Why is our win rate decreasing?"
Jeff Bezos is in early talks to raise $100 billion for a new fund that would buy up manufacturing companies and use AI technology to accelerate their path to automation. The fund will aim to buy companies in major industrial sectors, including chipmaking, defense, and aerospace. Bezos is meeting up with some of the world's largest asset managers to raise funding for the project. He has traveled to the Middle East and Singapore to discuss the fund with investors.
OpenAI plans to unify its ChatGPT app, Codex, and browser into a desktop superapp to simplify the user experience. The superapp will feature agentic AI capabilities that can work autonomously on users' computers to carry out a variety of tasks. Focusing on the superapp will enable OpenAI's teams to work closer together as it focuses its efforts around improving one central product.
Trevor Milton was convicted of defrauding Nikola investors in 2022. He faced a four-year prison term, but Trump signed an unconditional pardon. Milton, along with his wife, had donated at least $3.2 million to Trump's 2024 election and to political groups and people in Trump's orbit. He is now raising funds for a new jet he claims will transform flying.
A startup called True Anomaly has created a war-ready satellite platform designed for mass production. The Jackal spacecraft is designed for agility and maneuverability and could be used for orbital combat. About the size of a refrigerator, the Jackal is essentially a flying fuel tank with room for thrusters and sensors that can rapidly turn, approach, and surveil other objects in orbit. True Anomaly seems well-positioned to win a contract for the Space Force's upcoming RG-XX program.
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Stop babysitting your coding agents. Unblocked [10] gives them the organizational knowledge to generate mergeable code. It pulls context from across your engineering stack, resolves conflicts, and cuts the rework cycle by delivering only what agents need for the task at hand.
Composer 2 is now available in Cursor. It is frontier-level in coding, delivering large improvements on all measured benchmarks. The standard model is priced at $0.50/M input and $2.50/M output tokens. A faster variant, which has the same intelligence, will be priced at $1.50/M input and $7.50/M output tokens. The faster variant will be the default option in Cursor.
Don't treat AI output as code to read. If something doesn't work, just ask AI to rewrite the code exactly to the specifications. AI should be treated like a fast typist that is carrying out your will. If you know how you want something to look, make the AI do it the way you want - don't accommodate the AI.
Chinese cities are offering free apartments to attract 'one-person companies'. The plan also involves converting idle data centers into incubators to help grow the AI industry. Solo founders also receive free office space, discounted computing power, and special loans to build AI applications. While Silicon Valley's AI boom is being driven by venture capital funds, China is leaning on government policy and funding to mobilize participation from both industries and individuals.
AI will eventually exceed human capability across most cognitive domains. It is already able to make engineers significantly more productive. Intelligence is now a commodity on tap. This post looks at the impacts of labor that harnessing intelligence will have. It covers AI's impacts on the job market, governance and geopolitics, and human nature.
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To enable the community to get hands-on with NVIDIA Nemotron on Google Cloud, join the NVIDIA Nemotron model reasoning challenge on Kaggle [16], powered by G4 VMs!