AI VIDEO AD GENERATOR
HeyFish.ai is an AI-powered video ad platform that creates hyper-realistic digital human video ads.
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HeyFish.ai is an AI-powered video ad platform that creates hyper-realistic digital human video ads.
Makecomics is an AI-powered comic generator that creates professional comic panels instantly. Users can describe their scene, choose from styles like Noir, American Modern, Manga, or Vintage.
The concerning shift from academic AI research to rapid commercialization has created a reckless arms race. This trajectory is fundamentally opposed to the creators' mission of making the world better, as it injects powerful, unknown technology into systems designed to harm rather than help people. Designers and creators now face unprecedented tension between their desire to improve the world and the morally questionable origins of the AI tools they're pressured to use.
Strong brand systems fail when they're too rigid. Effective brands focus on a few core, non-negotiable elements (like logo, color, and typography) while allowing flexibility to adapt quickly to culture and new media. Resilient branding comes from balancing a stable “anchor” with creative freedom (“volume control”), continuously testing across contexts, and empowering teams to evolve the system rather than strictly follow rules.
The Spatial festival at Funkhaus Berlin commissioned SMLXL and Gerard Mallandrich to create a dynamic, motion-led identity that reflects its immersive, experimental sound environments. By treating motion as the core of the design and building a responsive 3D visual space, the identity became a living, interactive extension of the festival experience—balancing avant-garde expression with clarity and accessibility.
Researchers taught AI to understand how light actually behaves rather than just imitating lighting patterns from images.
Janny Baek's ceramic sculptures appear to be caught mid-transformation, resembling living organisms that haven't finished evolving.
Helsinki consultancy BOND rebranded LAB Muotoiluinstituutti around the concept “The Reformers,” positioning it as a dynamic force that challenges design norms through a constantly evolving identity.
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There's too much code being generated - and too many bottlenecks at the review and deploy stages. For security to work, it needs to make a big shift to the left.
OpenAI's Codex coding agent uses an "agent loop" that iteratively constructs prompts, interacts with the model, and executes tool calls like running commands or tests until a task is complete. Managing the growing conversation history and layered context is done through prompt caching and context window compaction to maintain performance. To support various interfaces, from CLIs to IDEs, OpenAI developed a bidirectional App Server protocol that encapsulates the core agent logic.
Slack's notification system had quietly become a mess due to four conflicting preference models, settings that didn't sync across devices, and no clean way to separate “show me activity” from “push me.” They rebuilt it from scratch into one unified model with a simple three-option structure and a single boolean controlling push, migrating millions of users without downtime using a read-time remapping strategy.
Hiring engineers based on framework knowledge is increasingly misguided as AI handles more implementation work. The traits that have always separated strong engineers are systems thinking, reasoning about tradeoffs, and clarifying problems before proposing solutions.
A dev's job isn't to write code. It's to solve problems, and the best engineers spend more time questioning requirements than typing. Code is a liability that needs to be maintained forever, so the real win is often writing less of it (or none at all).
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With Svix you no longer need to. Learn from Brex: [12] API teams know they need webhooks, but bandwidth and timing often push them out.
Starwind UI is a collection of beautiful, accessible components for Astro projects, styled with Tailwind CSS v4, providing a "shadcn-like" experience for Astro developers. It allows users to own and fully customize component source code directly.
OpenAI is acquiring Astral and its widely used open-source Python developer tools, such as uv, Ruff, and ty. This acquisition is intended to accelerate the growth of OpenAI's Codex, moving it beyond simple code generation to participate in the entire software development lifecycle.
Factory banned useEffect in their React codebase after production bugs convinced them it's more trouble than it's worth. Dependency arrays hide coupling, effect chains create race conditions, and it's the first thing AI agents reach for when they don't know what else to do. Almost every real useEffect use case has a better primitive: derive state inline, use a data-fetching library, put logic in event handlers, or use a key prop to force remounts.
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 [18].
Developers should intentionally structure code using semantic and pragmatic functions and rigorous data models to maintain codebase quality and scalability while working with AI.
A solo iOS developer details how integrating AI as a development resource has absorbed the cognitive load of implementation, allowing him to shift his focus from coding mechanics to prioritizing product design and strategic thinking.
Modern web publishers deliberately create a hostile and frustrating experience with bloated pages, intrusive ads, and interruptions, ironically driven by metrics that prioritize user "engagement" over respect.
Google is introducing a new 24-hour "advanced flow" process to allow users to bypass upcoming developer verification requirements and sideload unverified Android apps.
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Runway, ElevenLabs, and Leonardo AI had one thing in common: they didn't build their own billing infrastructure - they shipped product instead.
Many people think that AI will fragment markets because the technology makes it easier to create software, which means new companies will be built to serve every niche use case. AI will allow clones of major tech companies to emerge to carve out market share. However, it is more likely that AI will drive greater concentration of value into fewer companies and create the biggest businesses of all time. History teaches us that new technology leads to more concentration, and AI has the potential to be the most powerful example of this yet.
Being a system of record is no longer enough in the age of agents. The value is quickly shifting to the 'system of action'. Databases are cost centers, whereas agents that can complete tasks are value multipliers. Companies that focus on how to tax the consumption of their data rather than how to enable better actions become more of a utility than a platform. The goal should be to create value by being the best place to execute.
Startups burned over $100 million on launch campaigns last year. 86% of those videos didn't crack 50,000 views. This post contains a detailed tutorial on how to engineer trending videos from the first frame to the last repost. The author's team has spent over a million dollars orchestrating launch campaigns on X over the past year, achieving an average of 1.5 million views per video.
Pilots are opportunities. When structured intentionally, they can be a powerful tool in sales motion. Pilots accelerate trust, demonstrate value, and lay the groundwork for long-term partnerships. The key is to be clear and intentional, and to keep momentum high. Getting the pilot motion right will result in a far more predictable sales process and a clearer path to scalable revenue.
Open source stress-tests product market fit, as people won't pay for something they won't use for free. You need a bold, boundless mission, but be focused in what you are building. AI makes it even more important to be mindful when choosing what problems deserve your attention. Choosing what to dismiss is a competitive advantage. Hire people who are on the rise rather than people who've already made it.
SaaS founders should throw out the old 'configure it all' mentality and do the hard work of figuring out what works best, then sell that as a strongly opinionated piece of software. Businesses will increasingly pay to shortcut their way to best practice rather than buy the tools to do it themselves. This will allow them to focus on their unique value and not waste time reinventing the same sales pipeline used by everyone else. Companies that combine services and software will have a unique advantage.
CRM that builds itself from your emails and calls.
Detect and prevent SaaS churn before it happens.
All-in-one hosting infrastructure for long-running agents.
Nvidia took 3 decades to reach $1T but just 2 years to go from $1T to $5T. At 10% annual compounding, $10T is next. The investing variable that founders and investors consistently get wrong is the size of the prize - nobody imagined Airbnb, DoorDash, or Uber becoming what they are. An outlier founding team can compound a seed into $10B, then $100B in two decades, then $1T in three.
One solo founder launched 70+ projects with zero employees and hit $3.1M ARR. The playbook is portfolio theory applied to startups - ship fast, kill fast, let a 5% hit rate cover the failures. Vibe coding tools like Lovable ($100M ARR in 8 months, $6.6B valuation) and Bolt.new ($40M ARR in 6 months) make the math work by collapsing build time from months to days. A $20-50/app/mo maintenance layer turns the portfolio's biggest liability into recurring revenue.
Every time you say "well, technically..." you're about to kill a good story. The mistakes that tank most founder pitches all come from the same place - treating all details as equally important. Your audience doesn't want comprehensive, they want compelling. Short anecdotes of 5-15 seconds land better than any 12-step hero's journey, and the hook that gets someone in the door is never the same thing that gets them to stay.
The widespread adoption of similar startup methodologies fosters mediocrity.
Your engineering team is shipping more code than ever, but none of the metrics that actually matter are moving.
Startup methodologies widely adopted over the past 25 years have not increased startup success rates, as shown by unchanged survival rates in government data.
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The "DarkSword" exploit chain, active since at least November 2025, chained six flaws across JavaScriptCore (CVE-2025-31277, CVE-2025-43529), dyld PAC bypass (CVE-2026-20700), WebContent sandbox escape (CVE-2025-14174), GPU sandbox escape (CVE-2025-43810), and a local privilege escalation (CVE-2025-43520) to achieve full kernel control on iOS 18.4 through 18.7 via a malicious Safari webpage. Multiple threat actors reused the same core chain across separate campaigns in Saudi Arabia, Turkey, Malaysia, and Ukraine, with delivery methods ranging from Snapchat-themed lures to compromised watering-hole sites, with PARS Defense linked to the Turkey and Malaysia activity. Apple patched all underlying flaws in stages through iOS 26.3 by February 11. Users should update immediately to close the fully patched chain.
Aura, an identity theft protection company, announced that one of its employees was targeted in a vishing attack. The attacker accessed 900,000 records, mostly containing only names and email addresses, with contact details like home addresses and phone numbers also accessed for up to 20,000 active customers and 15,000 former customers. Aura confirmed that no sensitive information such as SSNs or financial details was compromised.
A hacker going by the alias “THE INTERNET YIFF MACHINE” leaked more than 8.3M highly sensitive records from the tip and intelligence management company P3 Global Intel. The leak contains extensive personal data on those accused by tipsters, including names, email addresses, dates of birth, phone numbers, home addresses, license plate numbers, SSNs, and criminal histories. The hacker also disclosed that the company enables clients to collect a wealth of tracking data on “anonymous” tipsters.
Huntress documented a 277% surge in RMM abuse, with threat actors daisy-chaining tools like Action1 and ScreenConnect via MSI installers, wscript, and LLM-generated infostealer scripts to fragment telemetry, distribute persistence, and complicate attribution across campaigns targeting financial accounts and SSA-themed lures. Post-access tradecraft included pin.exe masquerading as Windows Security to harvest login PINs to ScreenConnect\Temp\output.txt, Sordum's HideUL.exe to conceal RMM installs from Add/Remove Programs, and WebBrowserPassView to harvest credentials, with C2 notifications routed through Telegram bots. Defenders should allowlist approved RMM tools explicitly, treat unrecognized RMM activity as suspicious by default, monitor for unexpected MSI installations from user-writable paths, and reference lolrmm.io for visibility into commonly abused platforms.
Eclypsium captured two previously undocumented malware variants on March 6: CondiBot, a Mirai-derived multi-architecture DDoS botnet (arm, mips, x86) with 32 registered attack handlers, competitive botnet killing, and C2 beaconing via port 20480 (0x5000) to 65.222.202.53; and Monaco, a Go 1.24.0 SSH scanner and XMRig-based Monero cryptominer attributed to a likely Chinese-speaking actor hosted on Alibaba Cloud (8.222.206.6), brute-forcing ~3.6 billion IPs with 50+ hardcoded credentials and reporting stolen creds back over raw TCP. Both variants exploit the EDR/XDR visibility gap on network appliances by operating below the OS layer. Defenders should monitor for /tmp/monaco, unauthorized chmod 777 operations, unexpected XMRig processes, and apply YARA rules from Eclypsium's full report to detect CondiBot artifacts including the "QTXBOT" string identifier.
AWS Security Agent allows customers to launch automated, agentic penetration tests on sites that they own. This post walks through the process of setting it up to scan DVWA running on an EC2 instance. The author was impressed by the presentation of the findings, such as including PoCs and verification, and felt that it can definitely augment penetration tests and reduce time to test, but felt that improvements are still needed, such as the ability to export results as a PDF.
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The math on centralizing every log in your SIEM stopped working a while ago. In this webinar, Chronosphere, a Palo Alto Networks Company, and Google Cloud break down how to build a telemetry pipeline [11] that cuts ingestion costs without sacrificing detection coverage — covering filtering strategies, field reduction, and common