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Delve ran 4 ads across 2 TLDR newsletters and brought in 66 leads, with a meaningful chunk from enterprise. The result: $1M in attributed pipeline and a 52x ROI.
Character.AI has been holding discussions with potential buyers, banks, and staff over the past few weeks about raising a few hundred million dollars at a valuation of more than $1 billion. The startup's founders left the company last September to join Google, leaving employees to take over ownership. If sold, the buyer would get Character.AI's app and website, which hosts chatbots that resemble anime characters, celebrities, and historical figures. Character.AI makes most of its revenue by charging for premium features with its chatbots. It expects to reach $50 million in annualized revenue by the end of the year.
If you own an independent company and you're not greenlighting weird stuff, you're wasting one of life's true pleasures. Independence isn't just about freedom - it's an obligation to try things no board would ever approve. Public companies worth billions can't do what you can do. They need to justify every move, run it past committees, and worry about quarterly earnings. You can fund the oddball ideas, the "this will probably never work but..." experiments that occasionally catch fire. Very few people get to provide cover for strange attempts without asking permission. So if you're in that position and playing it safe, you're missing the entire point of being independent.
Anthropic has expanded its enterprise offering with Claude Code, bundled under premium seats for business plans.
Payments is the holy grail for SaaS companies - your model says you'll make 2% of millions in transaction volume, and suddenly every board meeting becomes about when you're launching it. This playbook shows why most companies shouldn't even try. You need actual money changing hands in your customers' workflows, which sounds obvious until you realize how many analytics platforms are trying to wedge payments into their product. The winners are boring - software for dentists processing copays, auto mechanics sending invoices, and nonprofits taking donations. This guide covers the math on what you'll actually make, realistic adoption rates, and how to expand from basic payment processing into the lucrative stuff like lending.
Most AI startups just automate existing workflows in finance or healthcare. Delphi is doing something weirder - building digital versions of people's minds that others can talk to. The founder fed his grandfather's memoir into an AI so he could still ask him for business advice. Now thousands of coaches, consultants, and professors are paying to create their own digital minds.
Performance management is the thing everyone whispers about but nobody wants to discuss openly. This manager shares the approach she uses when someone's not meeting expectations. The decision is less about whether someone is "good" or "bad," but rather whether their strengths match what the role needs right now. She gives people two projects over four weeks to demonstrate their skills - one tactical, one strategic - and checks in weekly. Sometimes people just need clearer feedback and turn out to be excellent. If, after giving someone a real chance, it's clear they can't do the job, keeping them in that role isn't kindness. They know they're failing, the team's frustrated, and everyone's performance drops.
Stitch by Google Labs turns text prompts and images into UI designs and frontend code, with seamless export to Figma and code files.
Chance AI turns your camera into a visual reasoning engine that not only recognizes images, but instantly explains them with context and insights.
Framer Workshop turns text prompts into powerful, customizable website components you can tweak in real-time and deploy instantly without writing code.
Convoke raised $8.6 million in seed funding for an AI tool aimed at reducing drug development timelines and costs. This highlights the increasing interest in AI solutions within the pharma industry.
Everyone's declaring GPT-5 a disappointment that proves AI progress is hitting a wall, but they're measuring it wrong. When GPT-4 launched in 2023, it was compared to technology from 2020 - of course, it looked revolutionary. Now GPT-5 is being compared to models released last month. If GPT-4 came out today, it would be dead on arrival. It handled 8,200 tokens versus GPT-5's 400,000, cost 10x more to run, and scored 25/100 on benchmarks where GPT-5 gets 69. On real-world coding tests, GPT-4 solved 2.8% of problems while GPT-5 solved 65%. GPT-4 can handle 5-minute human tasks - GPT-5 can handle tasks that are more than two hours. However, because everyone expected another ChatGPT moment and OpenAI bungled the release, the narrative has solidified in DC that AI is stalling.
Constraints in business, like limited time, team size, or budget, force creativity and focus. These limitations should be seen as opportunities to innovate and gain competitive advantages. Embracing constraints can lead to significant achievements with efficient resource use.
You won't become a billionaire from knowing these, but you might make better decisions.
Channel sales is where 75% of all tech gets sold - that's $3.9 trillion flowing through 600,000 partner companies - yet it's a complete nightmare to manage.
This founder noticed his apps still take 2-3 months to build, same as before AI tools - the initial build is faster, but the "missing details" eat up all the saved time.