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AI is having its “responsible adult” era— and it’s paying for it in some very human ways.
One corner of tech is trimming org charts to buy speed; another is pouring fresh money into machines that can (allegedly) fold a towel without starting a war. Meanwhile, everyone else is frantically rebuilding attention loops, debuting on public markets, and toggling “personality modes” like it’s a feature, not a philosophy.
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Eight bullets of updates
🗣️ Alexa’s new “Sassy” mode can dish out adult banter—PG-13 language, but no NSFW content.
🍕 A Qatari fund’s $47/share bid could take Papa John's private, offering a 50% premium on pre-bid prices.
📱 Disney+ launches a vertical video feed to boost daily engagement and surface more of its 14,000+ titles for mobile viewers.
💸 Shares are set to open 38% above IPO as SoftBank-backed PayPay raises $880M in a hotly anticipated Nasdaq debut.
🚗 Nissan will put Wayve’s self-driving tech in Leaf EVs for a robotaxi pilot on Uber in Tokyo, starting with several dozen vehicles this year.
🛩️ Kyiv defense startup secures $400K to help scale its infantry drone platform for frontline use.
🎮 Nintendo jumps 18% after "Pokémon Pokopia" sparks fresh optimism for Switch 2 sales.
🤖 Developers can now tap into agentic workflows and orchestration via new Perplexity APIs, with 6 models now supported.
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A $1B Bet on a Robot That Does Your Laundry
Sunday just raised $165 million and reached $1.15B valuation, vaulting to unicorn status. Out of stealth last year, it already has a 1,000-person waitlist. Founders Tony Zhao and Cheng Chi want Memo to be Rosie’s practical cousin, not another lab curiosity.
Memo targets real chores—laundry, table clearing—the stuff Roombas won’t touch. The real boss fight isn’t walking; it’s grasping objects with wildly different weights and textures. Advances in AI, sensors, and dexterous hands suggest “maybe” is turning into “mostly.”
A new humanoid wave is forming; cheap labor this is not. If Sunday delivers safe, useful, boringly reliable help, the TAM is every messy living room. If not, chalk up another slow towel fold. See how they’re building a home robot.
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Why Most Startups Fail to Get Investors
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AI Agents Are Reading Your Docs. Are You Ready?
Last month, 48% of visitors to documentation sites across Mintlify were AI agents—not humans.
Claude Code, Cursor, and other coding agents are becoming the actual customers reading your docs. And they read everything.
This changes what good documentation means. Humans skim and forgive gaps. Agents methodically check every endpoint, read every guide, and compare you against alternatives with zero fatigue.
Your docs aren't just helping users anymore—they're your product's first interview with the machines deciding whether to recommend you.
That means:
→ Clear schema markup so agents can parse your content
→ Real benchmarks, not marketing fluff
→ Open endpoints agents can actually test
→ Honest comparisons that emphasize strengths without hype
In the agentic world, documentation becomes 10x more important. Companies that make their products machine-understandable will win distribution through AI.
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🔋 For founders 40+, burnout is a recovery deficit—use 5 daily micro-shifts to restore steady drive and calmer focus.
🧠 Emotional maturity helps founders make hundreds of smarter decisions and reduce friction to scale under pressure.
👨👩👧👦 Build with family: set clear lanes—and add a 3rd co-founder as a tiebreaker to avoid stalemates and speed decisions.
AI Pitch Deck Reviewer
Slidebean has been helping startups craft pitch decks for over 10 years. We recently built an AI Pitch Deck Review tool, that processes the text and visuals on your presentation, and provides actionable feedback on the story, potential missing items, and recommendations on how to improve each slide.
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Atlassian just cut 1,600 jobs to fund AI
Atlassian just turned 1,600 people into an AI budget line. The company is cutting 10% of staff to “raise the bar” on growth and profitability, echoing Block’s earlier move to shrink headcount in the name of automation. Public software CEOs have discovered a story public markets currently love: fewer humans, more models.
This isn’t cost-cutting theater; it’s a capital allocation reset. When incumbents pivot harder into AI, they admit their legacy org charts are a tax on experimentation speed. For early-stage teams, the competitive frame just changed: default-lean, AI-native, and enterprise-focused is now the benchmark.
Expect more “AI-funded” layoffs as others follow this playbook rather than admit they’re simply overbuilt.
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Startup Events and Deadlines
Crash Course in Financial Modeling l March 19 l Webinar
How to Find your Startup Valuation l March 25 l Webinar
Startup Funding Rounds in the AI Era l March 31 l Webinar