... make the settlement comparison in the units you charged in, not the units you store. What made it expensive is that it fails only in currencies you probably do not test in, only on totals that do not divide evenly, and it fails in the direction that looks exactly like a customer who simply did not pay. Nobody reports it, because from the outside it is indistinguishable from an unpaid invoice. If you charge in more than one currency ...

... mortgage plan, which is a strange thing to admit. My conclusion so far: almost every number I report has a definition I can move, and the flattering one always survives. Nobody lies. The definition just drifts. MRR: annual contracts divided by twelve, correct, and setup fees in the same total, not correct. Nobody decided that, both arrive as money in the same month. LTV over CAC is the one that cost me something. Both inputs were already soft ...

... plans are divided into 3 tiers: Better browser : free, no AI features, cross-device sync Better answers : $20/month, with access to basic Dia AI features: better browser connectors ask on page tab context Better day: $100/month, with access to advanced Dia AI features: better browser + answers 6x more usage morning briefs reports/decks/recaps meeting follow-up These will start rolling out on August 17th for Mac users only with 30-day notice before currently-free AI features are removed. Comment from ... ... least it needs a lower paid cost of entry than ChatGPT, Claude, Gemini, Perplexity, and Copilot, between $8-12/month. what, again, was the point of being acquired by Atlassian if that s not funding free or below entrenched competitor

... stay. Anchoring your retention curve at signup bakes those people into your denominator forever and makes a healthy product look sick. Their suggestion is to rebase from month zero to month three, once the curve flattens, and read M12 divided by M3 as the real signal. On that basis the leading AI companies look fine, and some show a "smiling" curve where lapsed users return as the product improves. I find that convincing and I still think it cuts both ...

... booking flow that doesn t mean checking three apps to find the cheap one that s actually nearby - Something that makes AI actually useful for how my kids learn, not just another screen they're on - A means to divide group expenses and track personal finances better - Something that tracks all the warranties and receipts so I don t lose them a year later I know most of these exist in some form already. That knowledge has never once stopped ...

... APIs. What if we freeze the standard and support it? We already have things like SATA or CPU sockets. Why not build a similar concept for clothing? Then the API at the point of contact with the customer is divided into a physically immutable part (color, material, design) and a flexible part (logistics, ingredients). Let's start with the simplest base a T-shirt. Why not give it LTS support? The idea is that the exact same T-shirt could ...

... Books became digital. Music became interactive. Games became massive social worlds. But storytelling still seems divided into two extremes: traditional books, where the reader observes the story, and games, where interaction often comes with the complexity of building an entire game. We think there s a huge space between them. Stories where readers make meaningful choices, explore different paths and endings, build relationships with characters, interact with RPG mechanics, and experience illustrations, music, and sound while the story itself remains ...

... retry states. DNS setup can be completed later, and interrupted setups can recover safely. A more polished native Mac inbox We improved timestamps, workflow states, comments, draft-review panels, agent progress, mailbox switching, label controls, and the reading-pane divider. The app now remembers where you left things and stays smoother during resizing and fast mailbox changes. Search works more like Gmail Separate words match anywhere in a message, while quoted text searches for an exact phrase. Mixed searches work ...

... becomes a serious problem when the system fails, requirements change, or another engineer needs to maintain it. The future of software development will probably not be defined by AI replacing developers entirely. It will be defined by how teams divide responsibilities between humans and AI. AI may generate, summarize, recommend, and automate. Humans still need to define the problem, evaluate trade-offs, validate the output, and accept responsibility for the result. So where should that boundary be? At which stages ...

... visited by nobody. The diagnostic in the post is the part worth stealing. Count the items you shipped last quarter that a customer would care about. Count the sends that told your whole list about any of them. Divide. That's your Ship-to-Tell ratio, and it's almost always a single digit. Everything under 100% is value you paid to build and then didn't distribute. The post connects that gap to three dashboards: adoption (Pendo's data ...

... Same queue, totally different urgency. Telling those two apart automatically is the piece I don't have clean yet. In your setup, how are you deciding which of the 20 percent is allowed to wait for a window versus which should break into your focus? Comment from Aadil Ghani(@aadilghani): @virko_kask   This made my day, partly because you actually went and rebuilt the thing, and partly because "a file cannot tap my shoulder" is the cleanest one-line ... ... Same queue, totally different urgency. Telling those two apart automatically is the piece I don't have clean yet. In your setup, how are you deciding which of the 20 percent is allowed to wait for a window versus

... tablet and simultaneously looking at the text field to see what they ve written. They could usually concentrate on only one of those tasks at a time. It made me realise how much younger, more tech-savvy generations take divided attention like their natural skill. Comment from Fatima Khan(@fatima_shehzad): I remember my colleague mentioning her mother's story. Most parents can use the phone and apps like WhatsApp and even IG in some cases. But she mentioned that ... ... taking the device back too quickly. A lot of the struggle is not intelligence or willingness it s that every small button, field, and notification is asking for full attention at once. Comment from Tina Chhabra(@tina_chhabra): the divided

... ancient rivals became one nation. The #MadeUpCountry Challenge is us going all in on that instinct. Some combos already out there: Iraqan Iran + Iraq (same ancient land, split by a brutal 8-year war) Indistan India + Pakistan (same soil, divided in 1947) Chiwan China + Taiwan (the world s most watched territorial dispute) Download TravelAnimator: travelanimator.com/download We d love to know from the PH community: What s your MadeUpCountry? Would you enter a contest like this? Any feedback ...

... revenue to take home your actual survival number. Most calculators just ignore this entirely. The real formula needs to: compute net contribution margin at the unit level, then gross up your personal expenses to their pre-tax equivalent, then divide. I built a free calculator that does exactly this: outputs real minimum MRR and exact customer count with a full cash flow waterfall breakdown. Just launched it on Product Hunt today if anyone wants to check it out or upvote ... ... www.producthunt.com/products/ram... Curious what did your ramen number look like before vs

... Approval push with full proposed-action payload, resolvable in place. Needs-input push that labels simple-vs-complex so you know whether to answer or open. Completed silent list. That's four different treatments, and you basically specced them. That's exactly the shape Pushary is built around, so genuine last question: for needs-input, how would you want it to decide simple-vs

... Hello everyone! I think the math most freelancers use is wrong. They take a salary number, divide by 2,080, and call it their rate. That ignores many key factors, such as self-employment tax (15.3%), state income tax, unpaid hours, health insurance, and expenses. I decided to build ChargeWhat. You start off by putting in what you need to take home each year. It tells you what you actually need to charge to get there. All 50 US states ...

... draft a test plan, then review it. Brainstorm edge cases and iterate a few times. Once the cases are finalized, implement them using GLM (if you have), Flash, or Sonnet with "medium effort." Implementation : Whether you divide tasks by user stories, build the full stack simultaneously, or focus on the UI first, here is my model breakdown. Always ask to run test after implementation: Backend: Opus 4.7 or GPT 5.5 for complex logic / Sonnet 4.6 for simpler logic Frontend: Gemini ...

... users. This is one of the things I ve been experimenting with: X axis (left right): how many people from each country are voting More to the right = more votes coming from that country Y axis (bottom top): how divided people are Higher = closer to 50/50 (very split opinions) Lower = more agreement (clear majority) Dot color: what dominates Green = positive Red = negative Grey = neutral And the best part: it moves in real time as people vote. Still needs polishing ... ... already gives a completely different perspective than just up vs

... users. This is one of the things I ve been experimenting with: X axis (left right): how many people from each country are voting More to the right = more votes coming from that country Y axis (bottom top): how divided people are Higher = closer to 50/50 (very split opinions) Lower = more agreement (clear majority) Dot color: what dominates Green = positive Red = negative Grey = neutral And the best part: it moves in real time as people vote. Still needs polishing ... ... already gives a completely different perspective than just up vs

... supported top firms including Alibaba, Midea, and ZTE as a search partner. Yet I found a critical gap: for AI startups and scale-ups, linking talent strategy to business execution remains messy and manual no tool truly closes this divide. So I left corporate to build Memoket AI. Built by an industry practitioner, it streamlines talent development, organizational efficiency, and project execution for tech teams. If you re struggling to scale your team or align strategy in today s fast ...

... ROAS) on a campaign that absolutely did not have a 8.4 ROAS. Turns out LLM stands for Large Language Model, not Large Math Model. We had to give a model that can pass medical exams a calculator just to divide two numbers. So we rebuilt the whole thing. Deterministic code handles every calculation. Specialized agents each own a specific job (performance analysis, ad fatigue detection, search term audits). A second AI reviews every output before it goes anywhere. Nothing ships ...

... paid tier I think. Comment from Landon Reid(@galax): Real example from the trenches: We built ReadyPermit -- an AI property intelligence tool that screens 142 zoning, flood, setback, and buildability factors on any US address. Our free vs paid split came down to one question: what gives someone enough value to trust us with their wallet? Free: 4 standalone tools (Flood Zone Checker, Zoning Lookup, ADU Eligibility, Buildability Score). Each one solves a real problem on its own. People share ... ... paid tier. Out of curiosity do you usually prefer a free tier, or a short trial that unlocks the full product? Comment from Takahito Yoneda(@y_taka): Your general versus

... scope creep weren't tougher negotiators. They just structured their projects differently. Here's what that looks like in practice. Break the project into stages with a price per stage Instead of one big scope and one final invoice, divide the work into phases. Each phase has defined deliverables and a cost attached. The client knows what they're getting at each step before anything starts. Most scope creep lives in the ambiguity this removes. Set revision limits per stage ...

... Last year in Unicorns Journal we published an interview with Sergey Bakaev , where we unpacked first-time fundraising strategy expectations vs reality, common mistakes, and what founders often underestimate when raising capital for the first time. It turned into a very honest conversation. This year, I want to continue the series but shift the focus to something even more sensitive. Co-founder dynamics. Over the past few years, I ve noticed that the most difficult tensions in startups often ... ... come from the market or investors but from inside the founding team. Conflicts vary. Sometimes it s a difference in strategic vision. Sometimes it s about pace aggressive growth vs

... this to go big, just keen to learn from this first app dev experience I'm really curious though, is it worth investing the time to learn code now or just keep buying credits for AI tools? (I'm divided between buying a Mac or just continue using ...