... Most founders in Japan do the second one. Start in Japan and only once it works, head overseas. I did the same for 22 years. All of my business was in Japanese, for Japanese customers. Part of it is the language wall, most Japanese people don't read English online, and if you Google something in Japan, you are very unlikely to come across anything from the English-speaking world. Japan is open to the Internet, but the information-world ... ... happy to take SaaS, but they each have a list of business types they won t accept or only accept at higher fees (advisory, coaching, and so on, never mind casinos =) ) Comment from Anastasiia(@alieksia): We went global from day

... things like active vs. passive climate control, which is barely mentioned on most product pages even though it's the single biggest factor in whether the thing actually works a year from now instead of just on day

... network launch almost identical tools within a month of each other. Same market, similar pricing. The one who'd been posting his half-baked thoughts and failures on Twitter for a year got 10x the traction on launch day

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days

... ready for other people to pay for it." Everything I've read here about cold launches landing with a thud makes me want to slow down and build some real presence first rather than rush to Product Hunt on dayone with zero audience. For people who've shipped something solo before, what was the actual signal that told you it was time,

... Product Hunt newsletter, including once before the launch day ended. Over the past week, we have continued to gain roughly 30 users each day

... apps, your inbox, even your own computer. You don't switch tools, migrate data, or learn anything new. Capy comes to your work, not the other way around. We've been saying AI should adapt to you since dayone; this is what that looks like as a product. And frankly, a capybara has the right temperament for the job: unbothered, takes the task, does it, puts the result back where it belongs, and tells you what ... ... time, steps completed, which tool it's on reported as it runs. You go refill your water. By the time you're back, the reading list can introduce itself

... When launching a product, offering a free plan feels like the obvious choice. More users, more feedback, lower friction. But at the same time, charging from dayone gives you a completely different signal. People who pay often use the product differently, give different feedback, and help you understand what they truly value. The challenge is that both approaches seem to make sense. A free plan can help you grow faster. Charging early can help you validate faster. There probably ... ... universal answer and it depends on the product, the market, and what you're trying to learn first. From your experience: Did you launch with a free plan or charge from

... later restored, but the message was clear: a political decision made outside Europe could determine whether Europeans were allowed to access a frontier AI model. Europe did not suddenly lose access to all AI. But what happens if , oneday, access to the leading American models is restricted more broadly? We would still have European models, open-source systems we can operate ourselves, and Chinese

... which day, and that one

... again." Not even "when can you walk." Usually it's: can you move your toes? Just that. Not the whole leg, not standing, toes. Then feet. Then standing with support. Then a frame. Then rails. Then, oneday, on their own. No

... one person emailing one

... getosmo): Prepping for my first launch, so take this as "what I keep hearing from people who've done it" more than hard-won wisdom - but the essentials that come up again and again: 1. An audience BEFORE launch. Dayone is too late to start; the people who show up are the

... number of agents stops mattering, because you're not allocating attention to each one, you're receiving an alert from whichever one

... strategy. So we built our own attribution SDK. Lightweight, privacy-first, zero third-party dependencies. Drop it into any iOS or Android app in about 10 minutes and start tracking installs, attribution sources, and 30-day retention from day

... every AI browser feature should require an account on dayone. Oasis still needs a clear line between  guest  and  signed-in  so people know what to expect. Insight for other users: Guests  can try  limited assistant flows  (good for a quick taste before you commit). Signed-in  users get the full experience:  cloud routing ,  voice transcription ,  chat history in IndexedDB  keyed to your user ... ... /docs/welcome-back-after-sign-out  |  https://kahana.io/docs/chat-hist... Questions we would love your take on: Try before sign-up How much should guests get without an account before it feels like a crippled demo? Sign-in prompts When should Oasis block

... found in AI answers, search results, and by people who never saw your launch day. That takes more than upvotes. It takes content, optimization, and tracking. We want to help one

... idea into code, but they may also mistake a temporary scaffold for a foundation. The cost often does not become apparent until month 18 What Actually Works Avoiding tech debt does not mean building for massive scale from dayone. That can be wasteful and prevent you from finding product-market fit. The most cost-effective investment is made before writing the first line of code: spend two weeks on architecture. Scale mindset: Ask "what will break ... ... users?" not "can it run with 100 users." Automated testing from

... first works cleanly for a single founder building one thing. It gets confusing fast once there is a portfolio, because the personal brand can only front one

... Most businesses hire someone just to reply to messages all day. WhatsApp. Facebook. Instagram. Telegram. Website. Same questions. Same follow-ups. Every single day

... also huge. Every friction point you remove from sign up matters more than you think. I had a "start free" CTA with zero commitment and it outperformed every other button on the site. The brutal ChatGPT is the real competitor, not other SaaS tools. Every other freelancer asked me "why wouldn't I just paste this into ChatGPT?" Technically they can. The real moat is the workflow, not the AI: brief to proposal to contract to invoice, all connected ... ... between Free and Pro wasn't visible enough. I forgot to put proposal generation in the demo. That one

... immediately. But from our stats: 6 18 months is the typical lead time before new content is reflected in AI model training data. That s not a bug. It s how the system works. ClarityFlow would have existed on dayone. It would have been cited in AI answers maybe a year later. By then, we would have moved twice. The Real Competitive Landscape I ran ClarityFlow through the lens of what actually drives AI visibility in SaaS. From ... ... technically flawless but nobody wanted to come back. We had to deliberately make things feel more human, more opinionated, less polished. It looked worse on paper but engagement went up. The other painful

... last 10 years. Make a list. Email them personally. 3. Product Hunt: The Launch That Changed Everything We launched on Product Hunt 3 months ago. Day 1 was chaos. Day

... content did. The 30-Day Experiment (What I'd Do Differently) If I could go back, here's exactly what I'd do in the first 30 days

... Landed on full product behind a 7-day trial, no freemium tier. Here's my thinking: Freemium attracts people optimizing for free. A time trial attracts people who actually want to solve a problem. The freelancers I built for aren't looking for a free tool they're looking for the right one