标签：#startup

Wonderful said it will use its $550 million Series C funding to develop products faster, expand its FDE teams, and meet demand for its products.

This is Adobe's second acquisition out of India after Rephrase.ai in 2023

What’s up everyone. My name is Theodore Ochsen, founder of DaemonCore. I’ve been a developer for well over a decade, and my background goes back to running three PC repair shops before eventually moving heavily into software development, cybersecurity and building applications with my team. My road here has been anything but normal. A serious auto accident in 2015 basically nuked the life I had built. I lost the shops, lost my ability to walk and spent almost three years in rehab learning to walk again. Eventually I lost my marriage, my home and ended up in a wheelchair with pretty much one thing I could still do: code. I used to park myself at Barnes & Noble and read programming books for hours because I couldnt afford to buy all the damn things. Then I'd go back and try what I learned. I just kept building. In 2022 I went back to school for Forensic Psychology with a focus on cybercrime, and I graduate with my BA next month. At the same time, DaemonCore has grown into a team building software, security tools and some weird shit that occasionally starts as “what if we tried this?” and somehow becomes an actual product. One of our newest projects is DaemonCore Academy, which we started building last September and finally launched publicly about a week ago. The concept is pretty simple: cybersecurity education should be hands-on and the knowledge should be free. No three lessons followed by a credit-card screen. We start with fundamentals and work toward hands-on drills and environments where people can actually experiment, break things legally, understand WHY they broke, reset and try again. I'm joining DEV because I dont just want to drop links and disappear. I want to talk development. Architecture, Android, React, databases, security, stupid bugs that steal six hours of your life, things we've learned the hard way, and probably a few things we'll get completely fucking wrong and learn from publicly. I’ve spent enough years doing this to know one thing for certain

The startup wants to do for IT infrastructure what Cursor did for software engineering.

Fambot is building an AI “chief of staff” to help families manage the emails, calendars, school updates, sports schedules, and other logistics of raising kids.

Newlight has raised a $9 million seed round and completed an 8,500-nautical-mile test run from Singapore to Ghana.

TechCrunch Disrupt is where those moments happen. And we can't pull it off without volunteers like you.

"We raised at a peak, but sold at a fraction of that," Unacademy co-founder and CEO Gaurav Munjal wrote. "I'm not going to dress these facts up."

Magna's investment in Yuma Energy has reached $87 million as the Canadian auto supplier increases its majority stake in the Indian battery-swapping firm.

Founded by a 20-year-old, Alteon is developing autonomous aircraft that hopes to harvest wind energy to stay aloft for several months.

The email arrives. "Mercury will not be able to support your business at this time. We will not be able to provide additional details about this decision." You spend the next two weeks building an appeal: residence permit, business plan, tax registration, customer contracts, the whole file. You attach a polite cover letter explaining that you are not in Russia, not a sanctioned individual, fully compliant. Mercury either does not respond or sends the same boilerplate back. By week three you have decided you did something wrong, that your business is somehow tainted, that you will never get a US bank account. None of that is true. The reject was a system response, and once you can see the arithmetic driving it, the next move gets obvious and the spiral stops. The math behind an auto-decline OFAC violation penalties start at roughly $1 million per transaction. The annual revenue from a single diaspora-founder account at Mercury sits somewhere between $50 and $500. On top of that sits reputational risk: one Bloomberg story about "the fintech serving sanctioned Russians" damages the next funding round, strains banking partner relationships, and invites regulatory attention. Run those numbers and an auto-decline on an RU or BY passport signal becomes the rational move for the fintech, even when the overwhelming majority of flagged applications are perfectly legal. The downside of a single miss outweighs the upside of correctly clearing every legal applicant. What you are looking at is a company optimising against an asymmetry: maximum downside, minimal upside, per application. There is no judgement of you anywhere in that calculation. How the decline actually happens A KYC submission includes a passport scan, residence permit, and business documents. The decisioning system flags an RU or BY passport regardless of where you live, how the company is structured, or where the revenue comes from. Human review exists, but it triggers only when the signal-to-noise ratio is exce

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The seed round for the app that provides real-time legal and policy guidance to officers was led by SignalFire and Las Olas VC.

The controversial founder of the checkout startup once valued at $11 billion is putting in $5 million of his own money.

The three-year-old startup says it reached $15 million in ARR and profitability before raising its latest $15 million round.

The follower counter on my phone says 1,946. I check it more often than my homework diary. 54 to go...

Searches for it fell 71% this year. Here’s what people are searching for instead. Every list of dying businesses says the same thing. AI is coming for the boring work. Bookkeepers, translators, copywriters, support reps. Learn to prompt or get replaced. I run a database that pulls business ideas from Reddit complaints and App Store reviews, then checks real search-volume data behind each one. 1,416 scored threads. 192 published ideas. 941 companies with revenue verified straight from Stripe. When I sorted those 192 ideas by year-over-year search growth, the bottom of the list was not what I expected. At a glance Searches for “ai writing tool” fell 71% year over year. “ai agent” fell 46%. “ai detector” fell 19%. Meanwhile “fleet management software” rose 50%, “route planner” rose 50%, and “invoice reminder software for contractors” rose 45%. Of 941 Stripe-verified companies, the 37 in Services average $22,457 MRR. The 129 mobile apps average $4,387. The dying category is not boring work. It is the tool layer built on top of a model anyone can call. Demand did not disappear. It moved to the industries nobody wants to write a Medium post about. Where these numbers come from Search volume and year-over-year growth come from DataForSEO, the same keyword source most SEO tools resell. Revenue comes from TrustMRR, which reads a company’s actual Stripe account rather than asking the founder what they make. That second part matters for this piece. Most “here is what’s growing” articles quote founders. Founders round up. Stripe does not. The categories that are shrinking Keyword: cloud storage Monthly searches: 60,500 Year over year: -99% Keyword: tax preparation software Monthly searches: 6,600 Year over year: -75% Keyword: ai writing tool Monthly searches: 8,100 Year over year: -71% Keyword: church management software Monthly searches: 4,400 Year over year: -57% Keyword: ai agent Monthly searches: 18,100 Year over year: -46% Keyword: 3d printing software Monthly searches: 9,

The Liux Big microcar is made in Spain. The startup thinks it can compete in a crowded market with its tiny electric car built around sustainability.

Sophia Bendz, general partner at Cherry Ventures, stopped by Equity to break down the latest in the Swedish tech ecosystem.

Cloud spending is on track to pass a trillion dollars a year, and most of it is wasted. Industry data puts idle resources, over-provisioned instances, and missed commitment discounts at 25 to 35% of the average cloud bill. For an early-stage company where hosting can eat 6 to 12% of revenue, that waste is not a rounding error. It is runway. The good news is that cloud cost optimization rarely requires a painful re-architecture. The biggest wins come from a few low-risk moves: switching off what nobody is using, rightsizing what is over-provisioned, and buying commitments for the baseline you will run anyway. The discipline that ties these together is called FinOps, and you do not need a dedicated team to practise it. You need visibility into where the money goes, a short list of high-leverage actions, and the habit of reviewing the bill before it reviews you. This playbook walks through exactly that, in the order we apply it for the startups we work with. Find the waste before you cut it You cannot optimize what you cannot see. Before touching a single instance, make your spend legible. That starts with cost allocation tags, a small enforced set like env , team , service , and customer , applied to every resource. Untagged spend is where waste hides, so treat an untagged resource as a bug to be fixed, not a footnote. With tags in place, the native tools do most of the heavy lifting. AWS Cost Explorer (and its equivalents on GCP and Azure) will show you the trend line, the biggest line items, and the resources sitting idle. Set budget alerts at the account and per-environment level so a runaway job pings you on day two, not on the invoice. The most important shift is what you measure. Don't stop at "we spent $14k on EC2." Tie cost to a unit of business value: cost per customer, per active user, or per thousand requests. That single number turns an abstract bill into a metric you can defend in a board meeting and optimize against deliberately. The number that matters