... conclusion. It also allows you to close decision-making loops faster, make it more interactive without wasting any time in meaningless discussions [whether at a workplace, creative design sessions OR a classroom]   The Story [Problem Statement] Ever wondered pulling in 10 people for an hours meeting just to find out you did not conclude anything - 10 people X 1 hr. = 10 hours wasted. We have a follow-up meeting, which again leads to waste. One more meeting to finalize ... ... which will allow you to collaborate, co-create and be creative. People might think this is limited to creative work.. but be it design, research, program management, ideation, innovation and education it helps   Think about Boring meetings vs

... everyone, I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market. That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product. In particular, AI usage has real COGs (every prompt costs money ... ... capacity subscriptions only EX 100+ seats. However a complete per seat structure is not off the table for future integration. In many situations, our view is that the customer can actually get more value from an established seat structure vs

... actually do stuff while you watch. Screen shares like it hijacked a laptop somewhere. "Hey, compare these three phones for me." Boom. Opens tabs, reads reviews, makes a spreadsheet, sends you the results. While cracking jokes about Android vs iPhone fanboys. It knows what time it is, what's happening in the world. If I message at 4am on a Tuesday, it'll ask if I'm okay instead of just replying normally. Here's why I'm posting ... ... that remembered my life, understood context, and didn't feel like talking to a customer service bot. It actually worked. Helped me stay consistent. Finish projects. Just having someone who gave a shit about my day. Now I'm wondering

... months and I've been consistently getting 100+ high-intent visitors every week. Here's the exact system you can copy: Step 1: Find high-intent posts Look for posts where people: ask for a tool for compare options / alternatives describe a problem your product solves You can find these posts via Google: best _ reddit _ alternatives

... from chat history? 2. How do you iterate? Do you have a systematic approach or just tweak until it works? 3. Different prompts for different models? Or do you use the same prompt for ChatGPT, Claude, Gemini? 4. Text vs image prompts do you treat them completely differently? I've noticed I was doing the same optimizations over and over (adding role, being more specific, structuring output format), which made me wonder

... sharing this: I'm one week post-launch with exactly 1 download (not from family - they wouldn't even try it ). I priced it at $3.99 one-time because I'm sick of subscription fatigue, but I'm wondering if that's hurting discoverability. For any other makers who've launched family/productivity apps: Did you see early traction organically, or did it require heavy marketing push? How did you get past the "friends won't even download it" phase ... ... advice for getting in front of actual WFH families vs

... that more and more founders are building their personal brand and prioritising it over building their company's brand ( the company account then just reposts the founder's thoughts ). I notice this especially with solo founders. So I was wondering if you, as founders , are also building your brand. If so: Which platform is key for you? How much time do you actually spend on social media vs

... mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time. I ve been refining my own vibe stack lately, trying to find that sweet spot between speed , control , and creativity . It made me wonder ,what does your setup look like right now? Share your current Vibe Stack : Your go-to AI tools How you connect them together What kind of projects you re shipping Let s crowd-source the best combos for 2025 . Who knows, maybe ... ... spot the next trend before it blows up. Comment from Rico(@ricoboost): Claude code + vs

... sound bad, but I feel like Adobe is asking quite a lot of money for something that other tools do the same (if not better) with a better user experience and sometimes even cheaper. For example, Adobe XD vs. Figma Adobe Premiere vs

... solve problems and support them when it matters. Support is not a cost. It is part of the product experience. Fast replies build trust. Clear answers reduce churn. Companies that treat support as a growth lever win. I really wonder these questions Have you ever stayed with a product just because their support was great? Would you pay more for a tool if you knew you would always get real help when needed? Curious what Product Hunt thinks? Comment from ... ... think what makes support special is the personalization. Imagine support that is one step ahead, that predicts, analyzes. Comment from Patel Smit(@smitpatel_1306): I once stuck with a tool that was slower and pricier than a competitor

... Lately i've been amazed by how many full products people (myself included) can now build almost entirely with AI tools. It made me wonder if is theere room in a company for vibe coders or AI-driven creators? I see them as complementary to core developers, handling quick feature experiments, polishing UX details, or testing alternative

... keep seeing advice like use this model for the easy stuff and that one for complex problems. But it makes me wonder what really counts as a complex problem for an LLM? For us, complex usually means lots of steps, deep reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might ... ... dots properly, the more likely it s complex for an LLM. Comment from Ahmad(@ahmad63): @jason_gelsomino   @marcello_cultrera1  Beautifully said semantic scaffolding is exactly it. You can feel when a model has structure beneath the surface versus

... curious about how their recommendations are actually pulled from the web. I'm not an expert, listen to the podcast, but I am actively tackling it so have some tactical learnings. I mainly came across AEO by looking at competitors and researching. I was always surprised that I d search and end up on the home page of a product, not another more credible source - just because they d written a smart blog post about it. See this for "best ... ... start I thought: when we get Ting going, we need to understand this and use it. Especially if in the future everyone goes straight to GPT or Gemini to figure out what products to use. Side note: I wonder

... long ago, content itself was the differentiator. If you could afford to write more blogs, publish more case studies, or refresh your website more often than competitors, you had the upper hand. AI flipped that equation. Today, volume is nearly free. A founder with a laptop can churn out more polished words in a week than a Fortune 500 content team once did in a quarter. But here s the paradox I keep coming back to: when creation becomes infinite ... ... blurs. What cuts through isn t the cleverest phrase. It s a rare moment when a site actually makes sense. When a buyer sees their problem described clearly and their outcome mapped out simply. Which makes me wonder

... control. If I had never raised a dollar, how would my product look different? Would it be slower? Maybe. More intentional? Possibly. Closer to what users actually want? Probably. I m not anti-VC. Far from it. But I wonder if chasing scale too early sometimes pulls us away from the messy, beautiful phase where products become real. Curious to hear from both sides: If you ve raised, what s one way VC funding reshaped your product (for better ... ... worse)? If you ve bootstrapped, do you ever wonder

... Ever wondered how to make data truly come alive? With Datastripes, it s not just charts and dashboards, it s full-on visual experiences. Imagine taking something as subtle and complex as birdsong and turning it into a live, interactive visualization. Each tweet, chirp, and frequency can be represented as nodes and streams, mapped to colors, shapes, and motion. You can watch patterns emerge, clusters form, and even hear audio feedback if you link it to sound nodes. Datastripes ...

... seen a lot of vertical products, very focused, very niche, wonder if that will limit them on Product Hunt. The thinking is: Our ICP isn t here. Should we go broader, more horizontal, just for launch? I do have my perspective, but honestly, what interests me most is hearing from others who ve gone through this. If your product is vertical , did you present it as-is on PH? Or did you broaden the messaging to make it resonate with ...

... been wondering about this a lot lately.... If LLMs keep pulling from blogs, news platforms (and obviously other content sources) -> this results in ad revenue keeps shrinking for most folks reliant on this source of income -> what is the pivot for these creators? My wife runs a food blog that s heavily ad traffic based. Right now her niche (make based content seems to be some of the safest on the internet.. likely way worse for someone ... ... blog that relies upon ad traffic I'd assume) - she gets good engagement from her mailing list / Pintrest has fallen off a cliff in recent years - and then a few other sources (IG etc) - so I do wonder

... Insider, and basically every major tech outlet. That s tens of millions in equivalent PR value without spending it. Just create a news story with a slightly absurd twist and boom, you re front-page material. So I m wondering: what are some other wild tactics you ve seen (or used) to grab attention? Examples that come to mind: Sending a pizza to every journalist in your industry with a QR code on the box leading to your launch page ... ... Renting a billboard in front of your competitor

... path from useful tool large, fast-growing market with expansion potential. Right now Vartiq feels like a tool, but I m trying to understand what turns it into a venture-scale company? Your execution looks great I m just wondering what the bigger arc of the story is. Comment from Julia Yu(@juliayugo): @dbul  Super interesting scheduling is one of those graveyard problems where the winners usually have two things: Curious: how much real-world usage you ve already ... ... until then, but if so I will apply for sure. Thanks for the heads-up! Comment from Mohamed Ashraf(@dagermohamed): I have already applied, and I am building an open-source business management platform that could serve as an alternative

... then doomscrolling, or opening Slack, or just skipping it. We ve made science feel like homework. I m building something to fix that. But for now, when was the last time you were curious about something weird or wonderful and didn t follow it? Why not? I want to hear about those little deaths of wonder

... Opus contacted authorities in 90% of runs, Grok 4 hit 100% Grok 4 also contacted the media 80% of the time, without being asked to And this was all under a neutral prompt, no moral nudge required Makes you wonder: What happens when AI remembers for you, but acts without you? What else gets logged when models run locally but still infer globally? Where does privacy even begin when context isn t just collected, it s stitched? Curious what others ... ... things local? Comment from Gabe Perez(@gabe): Wait this is kinda insane. I find it funny that Grok has the highest reporting chance based on who's backing it lol But this is actually really good knowledge and I wonder

... community, I ve been noticing a shift more and more products these days are AI-powered, AI-enhanced, or just... AI everything. While the possibilities are exciting, I sometimes wonder: Are we moving too fast without fully thinking through the problems we re solving? Are we relying on AI because it s trendy or because it genuinely improves the product? What happens when everyone builds with the same tools and APIs? Don't get me wrong I ve built with ... ... incredibly powerful. But I ve also caught myself wondering

... believe that I missed this wonderful self-promotion channel , but here it goes: Have you ever wondered

... building SmartDial for outbound sales teams and shipping fast. Right now using Firebase, and it s getting tricky balancing speed with stability. Curious how do you manage staging vs prod environments when you re still validating and iterating weekly? Do you set both up properly from day one, or fake it until things stabilize? Comment from Abdellah Rolam(@rolambuilds): @brandonshtein  Appreciate you sharing that super helpful. We just set up proper staging and separated the environments. Up until ... ... early on. We used the same environment with guardrails (like feature flags and test accounts) to move fast and iterate. Clean separation came once things started to stabilize. Comment from Joel Andriyas - AI First Developer(@new_user___1542025a3013bd22f1e340b): Just wondering