... launched outreach. 18 became paying customers. So yeah, top of funnel looked pretty decent. But the real lesson was not how do we get people to sign up? It was: how do we get founders to trust the product enough to actually press send on fundraising emails? That is a much harder problem. For context, Causo helps early-stage founders find relevant investors and run cold fundraising outreach without manually building lists, writing everything from scratch, or duct-taping ... ... Some were probably just curious. Some likely realized they were not ready to raise. That changed how we think about the product. The hard part is not only find me investors. The hard part is helping founders feel confident enough

... 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. demo). Since you mentioned the sentence changes as you learn: do you have an example of how yours shifted for picspace? Like what the early version of the problem sentence was, versus

... openness creates accountability, builds audience, attracts early users who care about the product before it launches. For a lot of builders, it worked exactly like that. Then it became a content strategy. What Happened to Build-in-Public When enough people saw that building in public could attract an audience, the practice shifted. Instead of genuine transparency, it became a formula. Day 1: announce the idea. Week 2: post an update. Week 6: excited to share the launch. Week ... ... follow along" threads. LinkedIn feeds drowned in announcements. Product Hunt posts disappear within hours because everyone is launching and nobody is genuinely discovering. The build-in-public movement, at scale, created a specific kind of noise. Everyone broadcasting. Not enough

... users, or does it just shift the advantage to whoever has more refueling budget? I ask because we deal with something adjacent in enterprise AI "explainability" is a selling point until someone realizes the explanation is still complex enough that only engineers understand it. Curious if you're seeing a gap between users who say they want transparency and users who actually engage with the ranking mechanics. Also, the 10/ 10/$10 starting credit is a smart way to remove ... ... verified AI disclosure. others will not. over time the receipts with agent transparency outperform on credibility because the alternative

... does this: rolling audio -> Whisper -> show text That breaks quickly. Words flicker. Silence becomes text. The model completes a cutoff with something plausible. The final half-second of audio is especially dangerous because the model has just enough signal to guess, but not enough

... wrong. Regulation matters. Safety matters. Privacy matters. Trust matters. These are European strengths, and we should not throw them away. But sometimes it feels like Europe tries to administrate the future before it has built enough of it. That is the problem. While the US and China are producing many of the companies, models, infrastructure, and platforms that shape the market, Europe is often trying to catch up through rules, committees, and frameworks. Yes, we have promising companies. Mistral ... ... with an unreasonable plan might actually be worth backing. I haven t had the chance to visit the US yet, but it is definitely one of my goals. Europe should not copy everything blindly. But we should be honest enough

... tracking my tasks + habits + long term goals + reflection journaling etc - my own app :) chat gpt + claude - chat gpt for generating mocks, general idea brainstorming etc., claude for design & implementation warp + iterm - where i code -> moved away from vs code now. apple notes - project management (i prefer to keep it simple) chrome - browser of choice ! Comment from Vadym Cherkavskyi(@vadym_cherkavskyi): 1. Claude my main AI assistant 2. MemPlato my own MCP memory server so Claude actually remembers context ... ... tools reduce context switching, not just task time. Comment from Evgeny Alexeev(@alexe_ev): Here is my 5: Claude - solo building my little product with it! Linear - best jira alternative

... alone isn't enough and answering blind from your phone would just be rubber-stamping with extra steps. So it's not phone-versus

... more people. It means a lot. Okiela is still early. Still small. Still being built by one solo founder from Vietnam, with an FP&A finance background, trying to turn a very real ecommerce pain into something simple enough for operators to use. The problem I keep coming back to is this: many ecommerce operators can see revenue, orders, ads, ROAS, refunds, and channel performance but still struggle to answer one simple question: after all the costs, what ... ... Profit Waterfall works in a real ecommerce case. Small moments like that matter to me. Because every piece of feedback, even the small ones, helps me see what Okiela still needs to improve. If something is not clear enough

... learning constantly. I was building projects. I was improving my backend skills, working with Python, experimenting with ideas, and trying to become the kind of developer companies would want to hire. I truly believed that if I became good enough, opportunities would eventually come. That sounded logical. Work hard. Improve. Become valuable. Get opportunities. Simple. At least that was what I thought. But reality started feeling very different. Whenever I got an interview opportunity, I treated it like ... ... that never arrives. I remember constantly refreshing inboxes. Checking messages. Opening email again. Thinking maybe I missed something. Maybe tomorrow there would be an answer. Maybe next week. Maybe something finally changed. But weeks turned into months. And after enough

... nika): @alpertayfurr  That's actually a good sign that something good is happenign :) Comment from Nika(@busmark_w_nika): @olivier_jury  Wow, that is quite good result, promising! :) Comment from Nika(@busmark_w_nika): @johnoed  Fair enough, developers would cost you even more Comment from Nika(@busmark_w_nika): @johnoed  there is always something we could do "better" but we will learn it overtime :) Comment from Nika(@busmark_w_nika): @wasay_siddiqui  When ... ... Appreciate that! :) Comment from Nika(@busmark_w_nika): @davem_0  Marketing is the most priciest item rn. Comment from Nika(@busmark_w_nika): @qasimkhan  Have you already started with marketing? Can you compare amounts for production (tech) vs

... situation as worth pausing on before your conscious mind catches up. Whether that's precisely what's happening when you hesitate before sending a file that's a stretch to claim definitively. But the behavior matches: you've seen enough news about data breaches, you've heard enough

... reading Nika's thread here about free vs paid features. Really made me think. Link: https://www.producthunt.com/p/ge... ( shout-out to @busmark_w_nika ! ) She talks about giving generalized advice for free, but charging for specific, tailored help. That's a good framework. But most product owners figure this out after they build, not before. That's backwards. Your free tier should be designed before you write a single line of code. Because it's not just a marketing tool ... ... still feels useful? Not the full product. Not the enterprise version. The smallest thing that makes someone say "oh, I get it now." For us, that was tracking one LLM (ChatGPT), 5 keywords, and generating 2 articles per month. Enough

... nika Honestly, I'm still early enough that I'm measuring it more in the conversations than in the numbers. When I show up in communities talking about food safety data, not pitching the app, just sharing what I've found, people engage differently than when they encounter the product cold. They ask questions, share their own experiences, and tell me what they wish existed. I haven't A/B tested "anonymous launch vs

... distracted by the process, wondering about eye contact, whether it looked awkward, and often re-recording multiple times to get the right take ( Atlassian ). This is the person whose job was to promote async video. The bar for "good enough to send" is invisible, and people feel it even if they can't name it. The real failure mode is the effort gap, not the format Remote workers don't need another complicated system; they need something that solves ... ... celebrate simple solutions over feature-rich platforms. The problem isn't that people don't want to communicate via video because that is definitely booming. It's that the cost of making async video not feel embarrassing is high enough

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... imed_radhouani  To answer your question - we have started SOC2 process internally. We believe starting with a small team actually creates a culture that makes compliance down the road easier. We have been working with large organizations (large enough

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... card, a watch, a GPU, a pair of sneakers, or really anything you're buying from a stranger on an online marketplace (Reddit, Facebook Marketplace, etc.) is you check their post history, see if their account is old enough, maybe Google their username, and take a shot in the dark. If you're meeting in person, you're going off vibes and whether they seemed normal over text. For most people that's good enough

... 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. If 7 days isn't enough to know, the product isn't good enough

... fair these days...), about differentiation. It's such a difficult question to answer honestly (stress, honestly ) because how can anyone really differentiate when software generates itself? Deep domain expertise is one good answer. Some categories are technical and complicated enough that you need someone who has really lived in that world. But for this write up, let s assume you re not that person. Then the other answers are usually product, distribution and marketing: A product so good it speaks ... ... more of a by-product of everything else. I don t think of it as some totally separate magic channel. It s what starts happening when you do a lot of other things well. You rank well. You have enough

... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs Y) 3.2x average Structured FAQs 2.8x average Data-driven articles (with stats, tables, studies) 2.4x average "How to" guides (step-by-step) 1.9x average Original research 1.7x average What performs poorly: Short opinion pieces Thin content (<500 words ... ... systems to ensure accuracy. False positives are under 2%. Why not real-time? AI answers shift constantly. Real-time tracking at scale would cost millions and likely get us blocked. Daily updates give the perfect balance: fresh enough

... continue building UI pages for my email marketing platform using AI, and I wondered if AI generated UI designs are good enough for production apps? They seem to work great on mobile devices and desktop screens. They load fast. They behave normally. I m personally perfectly fine and happy to use them in production, but what is your opinion? Am I missing something? Should I be worried about using them in production? To build UI I use Lovable and Google ... ... take over and improve the design. I will attach my work here and how it evolved with my help Comment from Viktor Shumylo(@vik_sh): If it works, loads fast, and users are happy, it s probably good enough

... same thing happened. The idea was solid, the motivation was there, but execution kept breaking. I was doing everything myself. Growth, sales, operations, product. All me. And at some point you just hit a wall where there aren't enough hours in the day and nothing moves fast enough

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... review finds that integrated payments are essential for scaling beyond early adopters. UX Observations Studio Tonight s UI aligns with its audience: Clean listing layouts Clear pricing display Straightforward booking confirmations Easy-to-read calendar views It feels familiar enough for users accustomed to booking platforms but tailored enough