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We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Most indie hackers I know spend an embarrassing amount of time on the naming part. We argue with ourselves over the perfect .com, eventually settle for some janky combo of words with random consonants ripped out, and ship a domain we secretly don't love. There's a quieter option a lot of builders haven't seriously considered: .Vegas. It's a geographic TLD, but it does NOT require you to be in Las Vegas or build anything Vegas-related. What it does give you is a TLD that sounds bigger than it costs, reads as memorable, and is still wide open in 2026. I went down a small rabbit hole this week looking at side-project ideas that would have an almost unfair head start on .Vegas. Here are five. 1. A weekend trip planner Domain: weekend.vegas or trip.vegas This is the lowest-hanging fruit and I'm honestly surprised nobody's built it yet. A tiny webapp that takes a Friday-to-Sunday window and spits back a fully booked itinerary: flight, hotel, two restaurant reservations, one show, one activity. Three clicks, done. Why it works on .Vegas: the domain is the elevator pitch. Nobody needs to read your tagline. The URL bar tells you what the product does. That's worth more than most landing-page copy will ever earn. 2. A bachelor/bachelorette party coordinator Domain: bach.vegas , party.vegas , last.vegas Group-trip coordination is genuinely awful. Splitwise + a group chat + a shared Notion doc + that one friend who keeps forgetting to Venmo back. There's room for a niche product here that handles the deposit splits, the "who's in for the cabana" upsells, and the inevitable last-minute flight changes. Why it works on .Vegas: the URL doubles as a tagline. You don't have to explain what kind of trip it's for. 3. A booking aggregator for shows and residencies Domain: shows.vegas , tonight.vegas Caesars, MGM, Live Nation, AXS, Vivid Seats, the venue's own ticketing system — finding a good show on a specific Tuesday night is a pain. A scraper-backed booking aggregator that's honest a

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios.

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios.

Cognition makes Devin, the first and arguably most successful AI coding agent. But famed coder Wu says it isn't designed to supplant human programmers.

Submit your session topic before today ends for a chance to speak at TechCrunch Disrupt 2026. Apply now to share your insight and help shape the conversations defining the tech industry.

You now have until tonight at 11:59 p.m. PT to lock in Early Bird savings of up to $410 for TechCrunch Disrupt 2026 before prices increase. Join 10,000+ tech leaders in October for one of the most anticipated tech events of the year. Register now.

South Korean chip startup Xcena is betting that AI's real bottleneck is not compute, but memory.

If you've ever built or set up a subscription experience on Shopify for a coffee brand, you've probably run into the same problem most merchants face: The signup flow works great. The first order goes out. And then subscribers start quietly disappearing before the third delivery. This isn't a coffee problem. It's a subscription infrastructure problem — and it's almost always caused by the same handful of missing pieces in the system underneath the storefront. In this guide I'll walk through the practical setup decisions that actually move the needle on retention for coffee subscription businesses on Shopify — from choosing the right model and pricing structure to the fulfillment calendar, dunning logic, and cancellation flow that most setups skip entirely. Why Coffee Works So Well as a Subscription Product Before getting into setup, it's worth understanding why coffee is genuinely one of the better products to build a subscription around — when the infrastructure supports it. Predictable consumption cycle. A 12-oz bag of whole beans lasts roughly two to three weeks for a single drinker. That natural rhythm makes it easy to design a billing and delivery schedule that matches actual usage patterns. Daily habit. Roughly two-thirds of American adults drink coffee every day. A subscription removes the friction of reordering, and that convenience compounds into real retention over time. Freshness as a retention argument. Coffee quality degrades noticeably after roasting. Subscribers who care about quality genuinely prefer a recurring shipment over buying retail — which means freshness becomes a built-in reason to stay subscribed that most product categories simply don't have. The global coffee subscription market reached $808.8 million in 2024 and is projected to surpass $2.2 billion by 2033. The infrastructure opportunity for developers and merchants building on Shopify is real and still early. Step 1 — Choose the Right Subscription Model Before You Build The model choic

The enterprise AI search startup tripled its annual revenue even as tech giants entered the category.

Startup Battlefield applications are due tomorrow, so now's the time to put the finishing touches on your submission!

In its latest update, Bluesky is getting into long-form content.

LinkerBot makes dexterous robotic hands for as little as $600. It wants to become the standard for humanoids and automated factories—and eventually replace human labor altogether.

I was looking at my bank statement one day and realised I was paying for 4 things I completely forgot about. Combined it was around 40 euros a month just silently leaving my account. I'm a 17 year old developer from Cyprus and I spent the last few weeks building Capsule, a simple subscription tracker that shows you everything you pay for, alerts you before renewals, and tracks how much you save by cancelling things. No bank connection required. You just add your subscriptions manually. Privacy first. It's not on the Play Store yet but the waitlist is live at capsule.crickdevs.com if anyone wants early access. Would genuinely love feedback from real people before I launch.

CEO Ariel Katz argues that while AI can replicate workflow SaaS, it can't copy H1’s unique doctor data.

Europe’s startup ecosystem has matured significantly; its founders are increasingly willing to scale companies domestically instead of immediately looking to relocate to the U.S.

StrictlyVC Los Angeles is on June 18. Join for meaningful networking and fireside chats with leaders from Mach Industries, Shinkei Systems, and more. Register today.

While startups raising back-to-back rounds at steep step-ups have become almost routine, a company whose valuation doubles in three weeks is unusual enough to raise questions, particularly given the investor set in both rounds is the same.

Every week another "AI agent for X" launches. Email triage. Calendar coordination. Sales follow-up. PR reviewer. Slack monitor. Meeting summarizer. I've installed enough of them to see the pattern. Here's the dirty secret nobody mentions in the launch posts: These tools don't reduce your work. They multiply your notifications. Each AI tool is configured to be helpful by default. "Helpful" means: "I noticed this thing — here's a notification." Stack a dozen of those, and instead of one inbox to ignore you have twelve. The signal-to-noise ratio gets worse every time you add an AI to your workflow. The mainstream answer is "just configure each one." Sure. Spend four hours tuning notification settings every time you add a tool, and another four hours when one of them ships a "smarter notifications" update. That's not productivity. That's notification janitorial work disguised as setup. This is a structural problem. Not a configuration problem. The wrong question Every AI tool asks the same thing: "Is this important?" Wrong question. There is no objective "important." Importance depends on you, right now. A Stripe webhook is important when you're debugging a checkout flow. The same webhook is pure noise during a deep work block. A Slack message from your cofounder is critical at 11am Tuesday and irrelevant at 11pm Friday. The right question is: Is this urgent enough to interrupt me, right now, given what I'm doing? That's not a question any individual AI agent can answer. It's a layer above all your AI agents. None of them have the context. None of them know what the others are doing. None of them know how you're spending the next hour. So they all default to "I'll just send you a notification, you decide." Which is exactly the experience you have right now: drowning. What an AI firewall actually looks like I'm building that layer. It's called Klorn . Here's how it works in practice. Every signal — email, calendar invite, agent action, webhook, push from another tool — g

Enterprise AI is entering a different phase now, one where enterprises are no longer evaluating whether AI is exciting. They are evaluating whether it is safe to deploy broadly.