... NBER paper tracks 500,000+ GitHub developers against their actual AI telemetry. The task-level gains are enormous and they mostly don't survive the trip to a shipped release. Across four app marketplaces: a sharp rise in new apps, no rise in total usage. Most of the AI-productivity argument you've read this year is two camps shouting single numbers at each other. There's a paper out that makes both camps right and is more useful than ... ... either, and the revised version went up this month, so it's worth twenty minutes before you write your Q4 plan. It's NBER working paper 35275, Demirer, Musolff and Yang - "Writing Code vs

... other bootstrapped founders Reddit Large interest-based communities Feedback, questions, and niche discussions X Social publishing and personal audiences Distribution, networking, and building an audience Hacker News Technical discussion and interesting projects Developer products and technical launches WIP Daily shipping and accountability Staying consistent and shipping

... spent six weekends building the smallest possible version of an invoicing tool for freelancers. It had one feature that worked and two that mostly worked. The landing page had a typo in the headline for eleven days. She shipped it anyway. The loop that runs everything If you watch enough indie hackers, you start to see the same pattern. It goes something like this: Notice a problem that annoys real people. Build the smallest thing that solves ... ... money later. An indie hacker usually wants the business to pay for itself as early as possible, because there's no investor cushion to fall back on. Revenue isn't a vanity metric for them. It's oxygen. They ship

... year ago, shipping a feature could take days. Now you can open Claude Code, Codex, Cursor, or whatever agent you use and generate a ridiculous amount of code in a few hours. We've been seeing this firsthand while building Murmell, where we often have multiple coding agents working in parallel on the same project. And it made me wonder if we're actually shipping

... OpenAI's own app guidelines say commerce is physical goods only, and name subscriptions, credits and freemium upsells as not allowed, directly or indirectly. The same surface already ships an ads pixel and a Conversions API. That ordering tells you what it's for. There's a distribution channel a lot of makers are quietly building for right now, and the rulebook for it is a page almost nobody reads. I read it this week because I was working ... ... thing, today: intent forms inside ChatGPT, money moves on your domain, and the seam between them is a link out. The part I'd read as roadmap. Now put that next to what the same developer site already ships

... After 3 months of solo building on evenings/weekends, I noticed my 7 9pm block is where ~80% of shipped code lives. Everything else mornings, lunch breaks, weekend afternoons turns into planning, browsing, or half-baked drafts that get thrown out. Two things I had to change to protect that window: killing all notifications until 9pm, and doing planning the night before so I don't waste the shipping

... person functional. A year ago, "I built a working app this weekend" was a flex. Now it's a Tuesday. Vibe coding went mainstream, agents write most of the first draft, and the gap between an idea and a shipped product has basically collapsed. That's the good news, and it's genuinely great. Here's the part nobody puts in the launch post: when the technical friction disappears, the emotional friction doesn't. It just becomes the whole ... ... companion for understanding your own emotions, so I spend a lot of time thinking about the inside of a builder's head. And what I keep noticing, in myself and in the makers I talk to, is that the "ship

... years ago, shipping constantly was almost a marketing strategy. Pieter Levels, Jennifer Dewalt, Marc Lou building fast gave people a reason to follow the journey. Every launch created another story and more momentum. But AI changed the equation. Now anyone can ship

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually designed, not just maintained. That's the gap forg.to is built to close. Here's why the gap exists ... ... your work. Your Story is your update. The design gets out of the way so the thing you made is what people actually see. That's the model forg.to follows for professional identity: the product, the update, the shipped

... have two weeks of data that only made it sharper. I would rather test my reading against yours than sit on it. What I observed Single-person operation. No shoot day. Screen recording of my own shipped apps, plus a short-form output pipeline for each. Publishing across YouTube, TikTok, and Instagram. Two-week totals from this window YouTube: 23 videos, 3,800 views, 2.9 hours of watch time, 4 new subscribers TikTok: 6 videos, 621 views, 29 likes Instagram ... ... upload is still the last step. I want to hear from anyone who tried to remove that last manual step at low cost, and what broke. Four questions I would like input on For non-English-country makers who shipped

... Product Hunt! Shipping in public has completely evolved. Ideas that used to take months to build and deploy can now be built and shipped

... most makers are still pouring their energy into the part that got easy. There's a specific kind of quiet that happens about three weeks after launch. The app works. The landing page is clean. You shipped the whole thing in a weekend because Cursor and Claude Code let one person out-build a small 2020 dev team. And then... nothing. A trickle of signups from your own timeline, and then the graph goes flat. If that's where ... ... never been further apart. Here's the shift, stated plainly. When building was hard, building was the moat. If you could make something others couldn't, the difficulty itself protected you. That world is gone. The technical barrier to shipping

... actual machine the blueprint I approve, and the loop that grinds under it. The babysitting tax Hand a real feature not a one-line bug fix, an actual  feature   to an agent that can write and ship code, and you get one of two deals. Babysit every diff.  You sit there reading code you didn't write, hunting for mistakes you can't predict, approving hunks you half-understand. Congratulations, you're the bottleneck. The agent types ... ... pointer is  "let a workspace owner invite teammates."  The blueprint comes back looking like this: That's the whole thing I actually read. Four sentences a  user  would recognise, in the order they'll ship

... real, repeatable way to verify what it actually did before trusting it's correct. A recent example: I had a security researcher report what looked like a real vulnerability. Turned out the AI-assisted fix from weeks earlier had shipped correctly, but the researcher's finding conflated two different things, the anon key being visible client-side (expected, normal) versus

... suddenly lose access to all AI. But what happens if , one day, 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 alternatives. But there is no guarantee that another major power would never make the same decision to protect its own strategic advantage. AI is no longer just another software category. It is becoming infrastructure. It will shape education, healthcare, national security, research ... ... world are American, and Europe should continue working closely with the United States. But cooperation and dependency are not the same thing. Technological sovereignty does not mean refusing to use foreign technology. It means having a real alternative

... Since our last launch we've been heads-down on one thing: making "this integration works" actually mean something. Here's what changed, and why we're more confident than a month ago. What we shipped? Five integrations now recognize the bugs people actually hit and prove the fix with a real before/after: Stripe, Paddle, Clerk, AgentMail, Descope. Not "we support the API," but "we catch the specific way it breaks." Chaos-order proof for billing webhooks ... ... real phrasings to 22). We asked a second model to poke holes in our test coverage, then verified every suggestion against the real engine before trusting it. It surfaced 5 false positives we'd otherwise have shipped

... code before this year. In February I opened Cursor and just started typing what I wanted to build. 7 months later, backend on Cloudflare Workers, iOS app in SwiftUI, multi-model AI routing (GPT, Claude, Gemini), all written and shipped through Cursor. Launched on the App Store, now live on Product Hunt today. Biggest surprise for me: the hard part was never writing the code, Cursor handled most of that. The hard part was learning to think in systems, architecture ... ... what breaks what, how to debug when something goes wrong three layers deep. That took actual time. Curious how far others here have pushed it. Anyone shipped

... happened last week. I ve been working on another product alongside Murror a side project we re experimenting with, built almost entirely through AI. I m not a developer. I can t read most of the codebase. But I shipped a feature that three users have already told me feels exactly right. And I cannot explain to my team how it works. Not the user-facing part I designed that. I know what it should do, why it matters, what ... ... emotion it should trigger. I wrote the spec as a conversation with an AI agent. The agent built it. I tested it. It worked. I shipped

... duplicate event or the retry hitting stale state shows up now, not at 3am from a customer email. so here's my question back to you: what are you wiring up right now, and can this help you ship it without the launch-week surprise? if you're building solo , prompting your way through an app in cursor or claude code: connect fetchsandbox to your agent once, then just prompt in plain english, "test my stripe integration." it runs ... ... throws the failure cases on demand, and hands you back a receipt showing it either survived or exactly where it broke. no keys, no account, no staging wait. that's the whole loop. if you're on a team shipping

... coding agent gives you a working version of a feature in minutes. Ask again and you get another one, also working, slightly different. Working stopped being the filter. My rule is simple: I ship the version with the fewest moving parts, because I'm the one debugging it at 2am. Speed of writing means nothing against speed of fixing. What's your filter? Curious if anyone has a better rule than simplest one wins Comment from Ghost Kitty(@ghost-kitty ... ... thing" without me narrating what they're looking at. when the agent hands me five, four of them require me standing next to the reader explaining what the buttons do. the fifth one lands solo. that one ships

... months ago I made a small bet with myself: build and ship a tiny tool in one weekend, no overthinking, just vibes. I did it. It worked. People used it. And then something strange happened. The weekend project taught me more about my own habits than any "proper" project ever had. When you can spin up a working app in an afternoon, the bottleneck stops being can I build this and quietly becomes should I, and which 5% of this ... ... rebuild later is still very much on me. I'd genuinely love to hear how others approach this: When you vibecode something, what's the one part you always slow down and do carefully by hand? Have you ever shipped

... Product Hunt! I'm thrilled to share that Memoket Gem units have been shipping in batches since Sunday, and more are going out every day. The final batch is expected to ship

... Engineering teams have always faced the same question: build in-house, hire an agency, or find something in between. In 2026, a fourth option has emerged, AI-native pod teams that ship fixed-price, outcome-based software in a fraction of traditional timelines. But "faster" is easy to claim. Harder to verify before you sign a contract. The AI Velocity Pod Calculator lets you input your actual project scope feature set, compliance requirements, team structure and get a transparent, side ... ... side breakdown of: Estimated timeline (traditional agency vs

... good, because I figure you only get one first impression and an embarrassing v1 sticks to you. But almost every product I actually respect started out rough. The early versions were janky and half-broken, and the founders shipped anyway because real users teach you things a year of polishing never will. So I go back and forth on this constantly. The case for shipping

... translator one is a good reminder - easy to forget how much of building in public happens in a second language. Comment from Frank A.(@fasathor): My current 5: ChatGPT product thinking, copy, debugging, and planning Cursor / VS Code building and shipping