标签：#startup

While AI dominates the layoff narrative, engineers as a share of total new hires have actually increased, according to SignalFire data.

While there was probably a moment when Slate’s leadership had to green-light the switch from one battery type to another, the momentum toward that decision had been building for years.

Hi, I'm Hugo. I built MinecraftServers-List.com — a Minecraft server directory that ranks servers by genuine player votes and uptime. Why I built it Most existing Minecraft server lists have the same problem: the rankings are easily gamed. Server owners run scripts to inflate their vote counts, and players searching for a good server end up with a list that reflects who has the best bots, not which servers are actually worth playing on. I wanted to fix that. What makes it different Vote integrity — votes are tied to real player sessions and IP validation, making bot voting significantly harder Uptime monitoring — servers that go offline lose ranking visibility automatically Player reviews — verified players can leave reviews with star ratings, giving prospective players real signal Java & Bedrock — both editions listed and filterable by gamemode, version, and country The tech stack Built with TanStack Start (React SSR), Supabase for the database, and deployed on Cloudflare Workers. The SSR approach was important for SEO — server listing pages need to be fully rendered for Googlebot to index individual server pages properly. What I've learned so far Getting a new directory site indexed by Google is genuinely hard. The challenge isn't technical — it's convincing Google that hundreds of server listing pages are individually worth indexing when they all share a similar template structure. The solution has been enriching each server page with structured data (VideoGame schema with AggregateRating), genuine user reviews, and making sure every page has a meaningfully unique meta description generated from real server data — version, gamemode, player count, country. Still a work in progress but the site is live, servers are actively listed, and players are voting daily. Try it If you run a Minecraft server, you can list it free at https://minecraftservers-list.com If you're looking for a server to join, the SMP list and survival list are good starting points. Happy to answe

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New details have emerged about Valor's latest fund, which last year announced it was raising an unspecified amount of capital.

I'm Dr. Mohammad Reza Beheshti, Founder of CyberSiARA. I hold a PhD in Electronic Engineering and Artificial Intelligence and have over 15 years of experience in cybersecurity research and innovation. My passion has always been solving complex security challenges through technology. This journey led me to found CyberSiARA, where we're developing AI-powered bot protection and human verification solutions to help organizations defend against increasingly sophisticated cyber threats. I enjoy combining academic research with practical engineering to create technologies that are both innovative and effective in the real world. Through this blog, I share insights from my research, product development, and experiences building a cybersecurity company, with the aim of helping developers and security professionals stay ahead of emerging threats. I'm always keen to learn, collaborate, and contribute to the global developer and cybersecurity communities.

Superhuman, which also has an AI detection tool as part of Grammarly, has snapped up GPTZero.

TL;DR: We launched Tarotas, a tarot reading app, in five languages (Czech, Slovak, Polish, English, German) on a single domain. Each market behaved completely differently. Here is what the data showed us about multi-locale growth. When we started building Tarotas at Inithouse, the plan seemed straightforward: one product, five languages, one domain. Czech as the base, then Slovak, Polish, English, and German. Same cards, same readings, same UI. Just translated. What we did not expect: each locale acts like a separate product. The setup Tarotas is a tarot card app where you draw a card and read a calm, generic interpretation. No fortune telling, no sign-ups, no paywall. 78 cards across five languages, all on tarotas.com with language detection. We built it in Lovable and deployed it in under two weeks. The multi-language part took another week: content generation for 78 cards times 5 languages, plus locale-specific meta tags and URL structures. What the data told us The Czech and Slovak markets responded first. That was expected: our studio is based in Prague, our existing portfolio (products like zivafotka.cz and magicalsong.com ) already had traction in CZ/SK. But the interesting part was the divergence. CZ/SK users stayed longer. Session duration in Czech and Slovak was noticeably higher than in other locales. Users explored multiple cards, came back for second readings. The "reflection" positioning landed well in these markets, likely because tarot has a quiet cultural niche in Central Europe: not mainstream, but not fringe either. Polish users bounced faster but shared more. The PL locale had higher bounce rates but showed a different signal: social referrals. Polish users who did engage were more likely to share readings. The tarot community in Poland leans more social: Facebook groups, Instagram stories, TikTok readings. Our product caught some of that energy. German users barely showed up. DE was our weakest locale by far. German-language search demand for ta

Beyond the Prototype: Why Teams Need More Than Vibe Coding Over the last year, AI coding tools such as Lovable, Bolt.new, v0, Base44, and others have fundamentally changed how software gets created. A single founder or developer can now go from a rough idea to a working prototype in hours rather than weeks. That kind of acceleration is genuinely exciting, and it has opened software creation to far more people. That democratization is a good thing. Rapid experimentation, faster feedback loops, and lower barriers to entry are changing how products get started. Many successful companies and ideas will emerge because these tools made building more accessible. As I've followed the conversations happening around these tools—through reviews, articles, community discussions, and the experiences being shared by founders and engineering leaders—I've noticed an interesting pattern. The challenge is no longer getting to the first version. The challenge begins after. The Prototype Was Never the Finish Line The prototype works. Stakeholders become excited. Customers show interest. Momentum builds. Then a different set of questions starts to emerge. How do we align everyone on what we're building? How do we evolve an existing application instead of starting over? How do we maintain quality as complexity increases? How do multiple people collaborate without losing context? How do we know whether we're delivering the outcomes we intended? And how do we continuously improve without creating chaos? These aren't failures of AI coding tools. They're simply different problems. Many of today's AI builders are optimized for individual acceleration and rapid exploration. But once a promising idea becomes a product that teams must own, maintain, and evolve together, different requirements naturally emerge. What works for one person experimenting is not always enough for a group of people building something intended to last. Building Software Is More Than Generating Code Software development

HaloBraid aims to help salons speed up braiding with its first device, slated to launch later this year, that acts as a braiding assistant for professional stylists.

Four days left to save up to $190 on your pass to TechCrunch Founder Summit 2026 - the ultimate founder bootcamp - before Early Bird rates end on June 26 at 11:59 p.m. PT. Register here.

The hiring process has long been criticized for its inefficiency and opacity. Candidates spend hours writing applications and submitting cover letters, only to disappear into what often feels like a black box. Generative AI has only made things messier, with employers increasingly relying on AI-powered screening systems to sift through an overwhelming number of submissions. […]

Prototype vs MVP: How to Validate an Interactive Product Before Overengineering It A common early-stage product mistake is treating development output as product validation. The team creates screens, components, integrations, API endpoints, and increasingly complex application logic. The backlog is moving. The product is growing. But the core assumption may still be untested. Before building a full MVP, a startup should be able to answer a simpler question: What exactly are we trying to validate? For some products, a clickable UI prototype is enough. For others — especially products involving real-time 3D, WebAR, WebXR, data visualization, or spatial interaction — the experience cannot be validated through static screens alone. The team may need a functional interactive prototype. Prototype and MVP solve different problems A prototype is an experiment. Its purpose is to explore the concept, test the main interaction, and expose incorrect assumptions early. An MVP is a usable product. Its purpose is to deliver real value in production conditions and test market demand. A prototype helps validate: interaction logic; product comprehension; technical feasibility; the main user flow; visual communication; investor or stakeholder response. An MVP helps validate: real usage; retention; willingness to pay; production performance; operational requirements; market demand. The distinction becomes important because prototypes and MVPs require different engineering decisions. A prototype should be focused and fast. An MVP needs a more reliable technical foundation. Building the second before learning from the first can lead to unnecessary architecture, unused features, and expensive rework. Define the hypothesis before choosing the stack Teams often begin technical discussions too early. Should we use React? Should the 3D layer be built with Three.js? Do we need WebXR support? Should the backend be serverless? These may be relevant questions, but they are not the first questions

There's a headline pattern that feels like sharp marketing writing but quietly costs conversions. "You code. We cloud." It's clever. The parallel structure is tight. It names a clear division of labor. But it describes the service delivery model , not the developer outcome — and those are different things to someone scanning a landing page in five seconds. The audit fastapicloud.com is a managed hosting product built specifically for FastAPI developers. The hero H1 is: "You code. We cloud." On the surface this reads as clean, confident B2B positioning. In practice, it names the mechanism: You = who does the coding We cloud = who handles the infrastructure What's missing is the output. What does the developer actually walk away with? The gap (mechanism-first H1): The headline describes the service model without anchoring it in the developer outcome. The visitor has to make a three-step inference: "they handle the cloud" → "that means I don't do ops" → "so my app gets to production without a week of DevOps work." In five seconds of scrolling, most won't finish that chain. The headline earns a nod of recognition. It doesn't earn the scroll. The fix One line changes the frame completely. Before: "You code. We cloud." After: "Your FastAPI app is live in production — zero config rabbit holes, zero deploy-day surprises." The rewrite keeps the same promise — they handle the infrastructure — but anchors it in the developer's world. The outcome (app in production) is first. The pain points ("config rabbit holes," "deploy-day surprises") are the exact things a FastAPI developer has already lived through. "Zero config rabbit holes" names the experience of spinning up a production server for the first time. "Zero deploy-day surprises" names the dread: the Sunday night broken deploy that wasn't caught in staging. Any backend developer who reads that line knows exactly what it's describing. The mechanism (managed cloud, they handle ops) is still implied. But the headline earns the

What does an AI company do after one of those not-acqui-hire deals? Groq raised money, is leaning into its neocloud business, and is hiring new execs.

WhatsApp gets a new boss, as Will Cathcart moves to a new role at Meta, while Shah steps down as CEO of Indian fintech giant CRED to replace Cathcart.

Save up to $190 on your pass to TechCrunch Founder Summit 2026 by June 26, 11:59 p.m. PT. Designed for founders first on November 4 in Boston. Register here.

Mach's approach differs sharply from some of its peers.

Somewhere right now a guy at a bar is making a stranger sign an NDA on a napkin. For an app idea. Just sit with that. That napkin is going in a drawer. The drawer is a graveyard. Quick tour. Exhibit A: bro we should open a bar Two beers in, you're suddenly a hospitality mogul. Picking a name. Arguing about taco night. By the time the check comes, the bar is already dead. It died of "let's talk about this again soon," which never happens. Exhibit B: bro we should start a band A guitar shows up at a party. Someone says "we should actually start something." One rehearsal happens. In a garage. A neighbor complains. The band dies before it has a name or a single original song. RIP. Exhibit C: the app idea, may it rest in your Notes app The big one. Open your Notes app, it's a cemetery. "App that reminds you to text people back." Dead. "Tinder but for gym buddies." Dead. These ideas didn't fail. They never even got born. Why none of these make it out alive The ideas aren't even bad. Some are genuinely good. The problem is ideas are free and easy to say out loud. Building one makes it real, and real things can fail in public with your name on them. Saying "we should open a bar" costs nothing. Actually opening one costs $400,000, a liquor license, and every Saturday for five years. Guess which one people actually do. Building also got way easier, which makes this worse. You don't need a technical cofounder anymore. You can describe an app to a chat box and watch a prototype show up before your coffee's cold. The wall that used to stop people is mostly gone. People are still standing where it used to be, out of habit. A small ceremony for the ones we lost HERE LIES: "the app idea I had in the shower" born: tuesday died: tuesday, when I got out of the shower HERE LIES: "our band" born: one guitar, one party died: one noise complaint HERE LIES: "the bar we were gonna open" born: 1:47am died: 1:48am, checked the bill Two graves that still have a heartbeat Here's the part nobody

Shinkei makes a refrigerator-sized robot called Poseidon to kill fish quickly and humanely.