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Lovart is the AI design agent built for founders [4]. It learns your style, tone, and past projects so every output looks on-brand from Day 1. Now with FAST MODE, generating results up to 80% faster - _because founders can't wait_.
OpenAI acquired Software Applications Incorporated, the creator of Sky, a natural language interface for macOS. This acquisition aims to integrate Sky's capabilities into ChatGPT, enhancing AI functionality across user applications. The entire Software Applications team will join OpenAI to advance this integration.
BoxGroup, led by David Tisch, raised $550 million across two new funds, focusing on early-stage and follow-on investments. The firm adopts a collaborative approach, participating in numerous early-stage rounds alongside other VCs, building an impressive portfolio including Ramp and Stripe. Tisch emphasizes flexibility in sector and geography, aiming to maintain relevance despite growing competition for LP funding.
A new study claims AI can mimic customer purchase intent with 90 percent accuracy. Impressive on paper, but founders should be cautious. Models can mirror how people talk about buying, not how they actually buy. Real decisions happen inside context: risk, politics, switching costs, and emotion. AI can help generate hypotheses, but strategy still starts in messy, human conversations. You don't find differentiators in data, you find them in people.
AI's rapid advancements have made product-market fit (PMF) a continually shifting target. Companies must frequently re-establish PMF as evolving capabilities demand real-time adjustments and feedback. This dynamic environment fuels the need for more engineers directly engaging with customers.
Fluently scaled from $48K to $5M ARR in a year by treating short-form video like a data experiment, not a creative gamble. In 200 days, it pulled over a billion views across TikTok, Instagram, YouTube Shorts, and Facebook Reels without buying ads. It posted 2–3 videos daily through dozens of small creators, studied which hooks worked, then remade top performers fast with new faces. Every video was tracked with UTM links from view to revenue, cutting what didn't convert. Consistency, fast iteration, and measurement replaced big budgets and built one of the fastest UGC growth engines in SaaS.
Making AI work in production takes more than clever prompts. When thousands of users interact with a model, every mistake – wrong tone, bad data, off response – multiplies fast. That's why companies now rely on “evals,” systems that test and score models the same way engineers test code. Tools like Braintrust let teams log real user inputs, compare outputs against expected answers, and continuously tune models based on results. It's how Notion, Ramp, and Stripe keep AI features reliable as they scale.
Unify all AI workflows into one infinite canvas.
End to end production studio for cinematic launch videos.
NativeMind is a fully private, open-source AI assistant that runs the latest models locally in your browser.
Palo Alto's $25B deal for CyberArk is more than another big cybersecurity acquisition—it's a signal that identity is becoming the center of enterprise defense. CyberArk has long been the go-to for protecting the most powerful accounts inside companies, while Palo Alto built its reputation securing networks and clouds. Together, they can turn identity into the main line of defense, deciding who gets access, when, and under what conditions. The hard part will be keeping CyberArk's trusted focus intact as Palo Alto folds it into a much larger platform.
Eve raised $103 million in Series B funding, led by Spark Capital, reaching a $1 billion valuation. The AI platform now serves over 450 law firms, processing 200,000 legal cases annually and assisting in recovering over $3.5 billion in settlements. Eve's rapidly growing legal AI platform aims to reimagine plaintiff firms' operations by enhancing efficiency and scaling case capacity.
Founders obsess over faster, smarter, newer, but somewhere along the way, we stopped building things people actually love to use.
For years, SaaS founders knew the playbook: reach $20–50M ARR, keep growing, and buyers would line up.
We mirror those around us more than we think.