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Hi Hive

Hello Hive,I’m a doctor, hospital CEO, and I currently work at the intersection of AI, healthcare, clinical intelligence, and education.Happy to be here.A lot of my work is about collaborating with AI to support clinical decision-making. Not to replace doctors, but to help organize information, track patient trajectories over time, spot emerging risks earlier, and support differential diagnosis when the picture is not yet clear.I’m especially interested in the clinical trajectory algorithm, where I believe doctors should now be able to stop patient deterioration. I’m still learning a lot as I go.I joined this community to share what I’m building and learning, exchange ideas with people from different backgrounds, and document the process honestly, including the parts I get wrong along the way.Less hype. More real-world utility. Keep humans in the loop.

ParkSpot — a parking app that tells you when a spot just became legal, not just where the cheap meters are

I built this because my wife kept getting stressed hunting for legal parking in Stockholm, and the idea just kept growing from there.ParkSpot shows two things on a live map: Nu (what's legal right now) and Natt (what's safe until tomorrow morning) — pulled straight from Stockholm's open data on street cleaning schedules and parking restrictions, no manual curation.A few things I haven't seen other parking apps do:Streets that just finished their cleaning get a distinct highlight — genuinely freshly-legal spots, not just "technically not illegal."Tap a result and it hands off straight to Google Maps for driving directions — most apps stop at "here's a legal spot" and leave you to figure out the rest.No login, no ads, free.What I'm actually trying to figure out right now isn't the business model — it's whether this solves a problem worth solving. Stockholm has started using AI-equipped scan cars checking something like 5,000 parked cars an hour for violations, and it makes me wonder if a tool like this could mean fewer fines for drivers and less enforcement load for the city, not just a convenience feature.Parkspot Stockholm— no signup needed to try it. Curious what people here think, especially if you've built anything that has to compete with "just wing it" as the default behavior. Note: it only covers Stockholm, Sweden right now — if you're testing from elsewhere, zoom/pan the map to Stockholm first to see it actually working.

Everyone points AI at the CV. Why does nobody point it at the decision to apply?

I logged 47 of my own applications and checked them afterwards. Where I met the core requirement of the role I converted at 71%. Where I was stretching, 8%. My confidence score at the point of applying predicted nothing at all.That was not a writing problem. I had been using AI at the last step, polishing the CV, when the expensive mistake happened one step earlier, choosing the role. And nothing I was paying for could have told me, because none of it held my history.3 things I would like to hear from this room, whether you have job hunted recently or you are on the hiring side:What stayed manual for you? Not what was annoying, what you actually did by hand every single time.Where did you give up? Most people I ask say the tracker, around week 3.Have you ever pointed AI at the decision rather than the output? Triage before you apply, or a retro afterwards on what came back.I launched WorkstationAI here today. It tailors CVs like everything else does, but the part I built it for is the log, the triage and the retrospective, so I am genuinely trying to find out whether that loop matters to anyone but me.

Every job tool stops when you hit send. Mine keeps going.

WorkstationAI is live on SaaS Hive today. It is not a CV builder, so let me start with the part that is actually different.Your applications log themselves. Every job ad you score and every CV you tailor writes its own record. You never fill in a tracker, because that is where every tracker dies by week 3. You add one thing: what happened. Declined, interview, offer.Then you find out why. A role goes quiet after a tailored CV, you run the triage on that one application: was it a fit gap, a writing problem, or just noise? Not everything is a lesson, and knowing which is which saves you rewriting a CV that was never the issue. That runs from your first decline, no history needed.Then you see the pattern. Once 8 outcomes are logged, run the retrospective across your whole search. Which roles you actually convert. What the ones that said no had in common. Whether your own judgement at the point of applying is worth anything.A deliberate constraint on that last one: the retrospective will not run below 8 records. It tells you it does not have enough yet. A conversion rate off 3 applications is a number, not a finding, and a tool that guesses early and gets it wrong once never gets trusted again.Why I built it: I ran that retro by hand on my own 47 applications. Where I met the core requirement of the role I converted at 71%. Where I was stretching, 8%. My own confidence score at the point of applying predicted nothing at all. Months aimed at the wrong half of the market, and no tool I was paying for could have told me, because none of them held my history.The rest of the workspace is what feeds the log. Paste a job ad and a free check scores it A to F and flags scams and ghost jobs. If it scores well, tailor your CV to it, research the company, and build prep dashboards for the recruiter screen and the hiring manager round. Every one of those runs lands in your log on its own.Free to start: the job ad check, your first CV analysis, your first tailor, and the whole log, triage and retrospective. Paid items are £8 to £35, pay per use, no subscription. SAASHIVE takes 20% off any paid item until 30 September.Product page: https://saashive.com/view-product/0d98cde4-3925-4c55-90ac-77b3ca7f1e71Two asks:If you try it, an honest review. Honest, not kind. A 3 with a real reason is worth more to me than a 5.The one thing I still want to know is whether the retrospective tells you something you did not already suspect. That is the whole bet.Thanks to everyone who answered my positioning question last week. Happy to review your page in return, just point me at it.Li You

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