Finding signal on Twitter is more difficult than it used to be. We curate the best tweets on topics like AI, startups, and product development every weekday so you can focus on what matters.
460 long-form pieces
In-depth AI, startup, engineering, developer tools, and product strategy pieces from the Tech Twitter graph.
This post matters because it systematizes long-form ad creation into a repeatable agent workflow that combines research (Meta Ad Library analysis), structured storytelling (extracting sales spines), and multi-model generation (GPT-6 Astra,...
Chrome's shift to a two-week release cycle accelerates feature delivery, security patching, and bug fixes across desktop and mobile platforms, enabling developers to adopt modern web standards faster while reducing the window for exploiting...
@ChromiumDevBuilders and founders can now integrate X's API directly into Grok Bot to automate customer engagement workflows—extracting feedback from mentions, summarizing trends, and triaging messages without manual platform switching. AI...
@ericzakariassonAlphaGenome Atlas democratizes genomic discovery by pre-computing the biological impact of all 9 billion single-letter DNA variations and presenting them through a no-code interface, enabling scientists to instantly prioritize research...
@GoogleAIGrok Bot enables builders and designers to automate repetitive layout work in Figma, freeing them to focus on creative decisions like imagery and composition rather than technical assembly. By breaking workflows into precise prompts with...
@mattypThe Grok Bot Marketplace enables builders and founders to discover, deploy, and compose pre-built AI agents for specific workflows—from sales prospecting to design critique—eliminating the need to build specialized chatbots from scratch and...
@ericzakariasson# Why This Matters Most enterprises are wasting billions on AI by automating broken processes instead of redesigning them first—a lesson from 1990's IT transformation failures that remains unlearned, as evidenced by the UK government's...
@vasumanMastering coding agents—particularly knowing when to direct agent autonomy, review outputs, customize environments, and understand their technical foundations—is now a critical AI engineering skill that evolves faster than traditional...
@AndrewYNgGitHub Copilot's expansion into Slack and Teams, combined with new model options (Gemini 3.7 Flash, MAI-Code-1.1-Flash, Kimi K3) and configurable code review depth, enables builders and AI practitioners to integrate agentic coding...
@github# Why This Matters This post demonstrates a practical methodology for scaling design systems using AI agents, showing that builders and founders can now compress weeks of branding work into iterative cycles by using AI to enforce...
@AmirMushichThis conversation distills practical wisdom about identifying exceptional founders, building lasting business relationships, and recognizing the structural shifts AI is creating in software—insights that directly shape how venture investors...
@jacksondahlThe post matters because it reframes AI anxiety as a pattern repeating throughout technological history—fears that rarely materialize in predicted forms—and argues that builders and practitioners escape paralyzing doom loops by engaging...
@thisisgrantleeGrok Bot templates enable builders and founders to share production workflows—including encoded skills, memories, and integrations—without exposing sensitive data, creating a new distribution model for AI-powered knowledge work similar to...
@mattypThe post demonstrates that despite AI making custom software development technically feasible, SaaS remains economically rational because the hidden costs of building and maintaining bespoke solutions—including infrastructure, integrations,...
@denk_tweetsUnderstanding pstack's verification-first approach matters because it demonstrates how to architect AI agent workflows with self-closing feedback loops that scale team productivity 100-1000x, enabling non-engineers to contribute reliably...
@potetoa16z's $8.5B Growth Fund expansion directly addresses the operational bottleneck that growth-stage founders face: scaling across multiple products, geographies, and channels requires specialized expertise beyond capital, which the fund now...
@a16zThis post matters because it reveals that startup equity is inherently risky regardless of apparent success—common stockholders can receive nothing despite massive revenue and valuations if preferred investors are paid first—making it...
@gregisenbergintroduces new platform capabilities and APIs that builders need to evaluate for web application development across multiple operating systems and devices. Understanding these features early in the beta cycle allows founders and AI...
@ChromiumDevUnderstanding software fundamentals remains critical for AI practitioners using coding agents because agents cannot independently recognize important engineering tradeoffs in latency, availability, consistency, reliability, maintainability,...
@AndrewYNgThis $1.1B commitment from Andreessen Horowitz signals major institutional capital flowing toward AI infrastructure and physical deployment, enabling founders to pursue ambitious projects in robotics, manufacturing, and hardware that...
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