... subconsciously I perceive it as "something less"). I have to say that some outputs that look really high quality and I have trouble distinguishing them from "handwork" are perceived as completely normal (at least for me). As equal human work. How do you view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs

... market: I speak Portuguese, Mariana is Portuguese and my wife is Brazilian. We ran a test in Portuguese. We recruited 100s of Brazilian users in three weeks, mainly thanks to Ting on WhatsApp. IYKYK . December Based on competitors communications, social activity and web traffic, Ting appeared to have become the most-used scheduling agent of its kind. But the category was filling up. Sequoia had backed a competitor

... need to retry with exponential backoff while logging to three different services? The assistant completely missed it and didn't even flag that it was skipping anything. It got me thinking about where these tools actually excel versus where they consistently fall short. They're genuinely exceptional at scaffolding, at spinning up the obvious structure of a feature. But the moment you need to handle what shouldn't happen race conditions, partial failures, the weird state your system ends ... ... they seem to lose the plot entirely. The frustrating part isn't that they can't solve these problems. It's that they sound equally

... creators have access to more data, dashboards and idea generators than ever, but many are still unsure what they should publish next. UploadPack is designed to help solve that gap. It reviews a creator s channel, previous uploads, selected competitors, audience search behaviour and saved channel context. It then identifies opportunities worth investigating, explains the evidence behind them and turns the chosen direction into a complete publishing workflow. Some of the areas I am focusing on include: Finding opportunities without ... ... requiring the creator to begin with a topic Identifying channel-specific audience, competitor

... been experimenting with AI-assisted development, and it's completely changed how quickly I can go from idea to MVP. But it's also made me question something. We've become incredibly good at generating code. Have we become equally good at deciding what to build? I keep coming back to this simple thought: def build_startup(idea): validate_market(idea) understand_customers() analyze_competitors

... limited testers. They gave us the first feedbacks for us to make the app better. After we didn't succeeded with a try on LinkedIn, where the feedback was nearly zero, we are on our way to find good alternatives. Hopefully Producthunt will help us and I'am pleased to help you, if you like. Maybe we will make the world of apps a little bit better. Is my first day on this page and we are very excited what ... ... amount of solo testing replicates that. I'm in a similar position first product, solo founder, building RoamThrift (a travel app that puts free experiences first). Landing page is live, app is in build. Terrifying and exciting in equal

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... curious (no login, works on crypto/forex/stocks): traderai.cloud/chart Anyway, it's been mostly me, a lot of coffee, and staying up late carrying me through the parts I'm bad at. Launching it properly tomorrow and I'm equal parts excited and nauseous lol. Genuine question for this crowd: for those of you who've shipped solo - how did you deal with the "is this even good enough to show people" feeling right before launch? Trying not to talk myself ...

... slow Monday at a cafe and a slow Monday at a software company are not the same signal). The confidence grading is a nice touch too, gives you a way to triage instead of treating every flag as equally urgent. Would genuinely enjoy the call if you're open to it, curious how it handles the early days before there's enough history to know what "normal" even looks like for a business. Comment from Shahroz Siddique(@shahroz_siddique): @stacywycof83995 ...

... consulting, and training revenue simultaneously and still hope the business will scale. Even with AI efficiencies, stretching the team too thin kills momentum. 3. Not thinking deeply enough about the Moat and GTM. A great product does not automatically equal a great business. If you haven't thoroughly thought through your Go-To-Market strategy and why your business is defensible against competitors

... Launch a Prediction Market Platform Like Polymarket 1. Define Your Business Model- Identify your target audience, revenue strategy, supported markets, and platform objectives. A clear business model lays the foundation for long-term growth. 2. Conduct Market Research- Analyze competitors, user preferences, and industry trends to identify market opportunities and differentiate your platform. 3. Choose the Right Technology Stack- Select blockchain networks, smart contract frameworks, backend infrastructure, and frontend technologies that align with your scalability and performance requirements. 4. Develop ... ... prediction markets offer significant opportunities, but businesses must carefully address several key challenges to ensure long-term success. Regulatory compliance is a major consideration, as legal requirements can vary across different regions and jurisdictions. Maintaining sufficient market liquidity is equally

... trying to solve are: Getting attention in an overcrowded marketing environment Increasing customer engagement instead of just generating impressions Encouraging repeat visits Making promotions more memorable Generating word-of-mouth and referrals Giving small businesses an affordable alternative to constantly buying ads The simplest way I'd describe it: Playistry helps small businesses turn ordinary promotions into interactive customer experiences without adding another advertising expense. https://Playistry.com Comment from Jyoti Pathak(@jyotipathak__): Totally agree. When the problem is clear ... ... Ludwinowski(@anna_ludwinowski): @picspace  "What changed for the user" instead of "what did I build" is exactly the right swap! It's the same trap in enterprise IT and in most launches here, just dressed differently (feature list vs

... LLMs. But here is the tension. 75% of global marketers express excitement about generative AI, but there is a growing philosophical debate about the enduring value of human connection The authenticity paradox The acceleration of AI has created an equal and opposite reaction: a craving for the real. As generative AI floods the internet with synthetic content, "perfection" is no longer a differentiator; it is a commodity. The new premium is flaws, vibe, and human connection . Ogilvy's 2026 Futures ... ... powered search systems are deprioritizing content that AI helped create. Instead, search systems surface work demonstrating originality, firsthand insight, and human judgment . The conclusion is uncomfortable but clear: Stop measuring success by output alone. Volume no longer equals

... viter les fautes d'orthographe ! :) Comment from Els Edes(@elsedes): @mikbal   Comment from Els Edes(@elsedes): Fun question for a Friday afternoon. Gotta love the weekend ;) Here we go: Claude / ChatGPT for brainstorming, coding and problem-solving VS Code much to my own surprise :) MacBook + iPhone basically my mobile office Final Cut Pro Paper and a marker still surprisingly hard to beat Apparently I m more dependent on Apple than I thought. Comment from Jovie Chen(@joviechen): This resonates ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... real skill. Comment from Varun Mishra(@varun1jan): I think people often confuse "having multiple projects" with "making progress on multiple projects." Most of the founders who seem to be juggling 5-10 things aren't actually giving equal attention to all of them. Usually there's one primary project, a few that are in maintenance mode, and maybe one new experiment. The real bottleneck isn't time. It's context switching. I've found that once a project starts living ... ... bottleneck (not time) is exactly what I built FounderFlow around. I ran a software company, a care home, and a cafe at once for years, and the expensive part was never the hours, it was that every ping felt equally

... plot. Good reads on this thread. Comment from M. M. Carvalho(@m_m_carvalho): @oshylabs  Did exactly what you said. Coverage is the headline now , reply speed moved to the side, and I added a simple question vs. non-question split with its own "questions answered" number. So the lazy pattern you described reply to every "congrats", skip the real questions now actually shows up, because that number drops even when the overall one looks fine. Right ... ... coverage first; timing adds nuance for high-coverage launches. On comment types: yes, worth distinguishing, and it changes the signal significantly. A congratulatory comment that goes unanswered does not indicate disengagement. An unanswered question does. If you weight them equally

... worth ad dollars at a tiny budget, and which are a money pit? I'm doing daily build-in-public content on TikTok, YouTube Shorts, and X, but I honestly can't tell yet what's driving downloads versus just views. If you've cracked early distribution for a consumer app, I'm all ears. Product Hunt Launch: https://www.producthunt.com/prod... Comment from Indra Dasari(@indra_dasari): Building Book Dentist Online We're creating an AI-powered platform that helps ... ... want to read the contract, it's that it's difficult to know what matters and what deserves closer attention. Flagging clauses that differ from standard market terms is a great suggestion. Helping buyers identify what's routine versus

... will create. I guess this is the closest to the honest trade-off great product and tech divisions have done for many years before the advent of coding agents. Focus on reliability and observability. Not all tech-debt is equal but we are keeping a close eye on the most critical paths with additional infra to monitor for that. What tradeoffs are you making, and what's working for you? Especially curious about teams that are heavily AI-assisted ... ... Fair point and yes, I believe continuous refactoring tilts the equation here. Same can be said about error resolution. As long as instrumentation is in place to catch issues quickly one could say the trade-off of moving fast vs

... shipped front-end with Claude, Cursor, or Copilot, you know the look. Purple gradient, three equal cards, Inter blown up huge, a "John Doe" testimonial, 300ms on everything. The tools don't choose it. They default into it, because the average of everything they trained on is generic. I'm a designer, and undoing the same five mistakes by hand stopped scaling. So I built ux-skill. It sits between you and your AI tool and swaps improvising for constraints ... ... makes the slop, so I took the model out of the decision and wrote the taste down as rules you can read and switch off. There's a real before/after in the repo: a skip-hire site, generic template versus

... three things at once and not lose track of any of them. Better to solve the visibility problem now than to bottleneck yourself later. pushary.com/ai-coding Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... come from a big tech background just someone who saw a problem, learned what was needed and built the solution. The problem I kept seeing: Content agencies were spending 3-4 hours creating a single SEO brief. Competitor research, H2 outlines, semantic keywords, writer instructions all manual, all slow, impossible to scale. So I built BriefIQ. What BriefIQ does: Generates complete 18-section SEO briefs in 30 seconds Writes full articles from any brief Grades content A-F and auto ... ... improves to A Exports white label reports for agency clients Bulk generates 50 articles at once Tracks real rankings via Google Search Console Analyses competitor

... from Furkan Topcuo lu(@furkan_topcuoglu): I'd add reply plan after launch to the list. A lot of teams prepare the first comment but not the next 10 answers they'll need if people ask at pricing, use cases, competitors or roadmap. Launch day is much easier when the team already knows who answers what. Comment from Olive Mwangi(@olive_mwangi): I'd add one more thing: go through your product as if you're seeing it for the first ... ... busmark_w_nika  that's fair, popular hunters/people that have been in the community for a while definitely come with credibility. Comment from Denitsa Pencheva-Valtchanova(@denitsapenchevavaltchanova): You mention a hunter - curious, do you think it brings value Vs

... Seconds: Upload, background removal, and scene generation are chained in a single round-trip. No queue waits, no batch jobs, and no Photoshop cleanup needed afterward. Transparent Pricing: Just flat, simple pricing. One credit equals one image. Plus, you get a full commercial license and absolutely zero watermarks, even on the free tier. Built for Real Workflows: Whether you're selling on Shopify, Amazon, or running an agency, Palmou AI offers better output quality and pricing predictability than template-driven ... ... alternatives

... some ways, more complete than Spotify, Tidal, or Apple Music. It serves audio, does on-the-fly transcoding, enriches tracks, albums, and artists from a ton of sources, runs audio analysis and extracts track similarity vectors, has an adaptive equalizer that reads the audio profile of each track or follows the genre taxonomy, a discovery radio like the one Pandora had back in the early 2000s, and a lot more. Again: not a single line of code. AI agents wrote ... ... person can build has moved. There's a political, social, anti-capitalist undercurrent behind Crate. I built it because I can't stomach what Spotify, Apple, and Amazon have done to music. Spotify pays less per stream than any competitor

... context is equal. So we stopped treating it that way. Most AI tools store everything the same: Writing rules Personal background Preferences Temporary notes But a rule like: Use bullet points. shouldn t behave the same as: I run a fintech startup and we've just raise $4m So we rebuilt our context system, to help Pretty Prompt give better results. (Best part, the user owns that context, and can use it across any LLM) Launching today Instructions vs