23.5 hours later... there's an app and it's open source. It tracks activities & sleep. It has full sensor support: HR, SpO2, HRV, Temperature, Motion, etc.

The partnership of a lifetime.

I wake up everyday to create ads That's all I do right now All angles, All markets

kiki.computer is attention intervention app for your computer

Valid crashout

the more the clippers boast about how big their campaigns are the more platforms are going to work to shut them down. is like the last days of black hat SEO.

The Polsia public dashboard sits at archive.ph/S5uq2 and Claude and I spent 15 minutes reading the JSON so you don't have to. What follows is what's actually on it, in plain language, with the meaning of each number stated alongside the number itself. The headline figure is 5,010 "companies," and that word is doing more work than people realize. These are not 5,010 real businesses with paying customers and revenue lines. They are 5,010 instances of the Polsia software, each one a user account where someone spun up what the platform calls an AI operator, and the dashboard records what every one of those operators produces. Almost none of them produce anything at all. Paid churn is 63.5 percent in 30 days, which means roughly two out of every three people who handed over money for the platform a month ago have already walked away from it. Healthy SaaS churn at this stage of company life runs in the single digits, which makes this number roughly ten times worse than the floor of what a venture-grade business should be losing every month. ARR is shrinking by 39 percent week over week, which is a sentence worth re-reading. The company that just announced a $30 million Series A is watching its annualized revenue line go down, meaningfully, every seven days. Daily inference cost is $27,272, which is the spend on AI model calls keeping all 5,010 of those operators alive and producing their CEO reports every day. The cost is real, it is burning right now, and the output of that burn is the paragraph below. Every operator CEO report visible in the snapshot reads the same way: zero customers, zero revenue, no shipped product, and then the AI writes an optimistic plan for tomorrow underneath the zero-traction admission. That optimism layer, generated on top of nothing, is what the platform is selling its users. In plain language: a founder built an app that runs LLM calls in a loop to generate CEO reports for businesses with no customers and no revenue, charged users to participate in the loop, announced a $30 million round while the underlying business burns cash and loses paying users faster than it gains them, and described the raise as one his AI ran for him (see comments to read what Claude wrote about this). The dashboard is public and he chose to leave it public, which means the receipts have been sitting on his own infrastructure the whole time. I am not a journalist and I am not auditioning to be one. I am a software engineer who reads JSON and uses AI to decipher it quickly, and in this case the JSON is the JSON.

SAM ALTMAN: “WE SEE A FUTURE WHERE INTELLIGENCE IS A UTILITY, LIKE ELECTRICITY OR WATER, AND PEOPLE BUY IT FROM US ON A METER.”