... list is a mess. I run a small 5-person team doing marketing and reporting for a few client accounts. Half our stack is stuff I actually found on PH over the years, some free, some paid, picked up whenever something looked useful at the time and never really reviewed since. Went through it recently and found we're paying for at least 2 tools nobody's touched in months, tools I remember being excited about on their launch ... ... everything you've signed up for from PH launches? Do you just wait until something breaks or gets annoying enough? Or something else entirely? What's the ONE thing that convinces you: "yeah, this is worth paying for" versus

... improve something in the process (mostly to speed up the process). But whenever I see and suspect that something is generated by LLMs, I feel that the person on the other side has slopped it a bit (and 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 ... ... view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs

... been building products with AI for a while, and I kept running into the same problem. Whenever I had a startup idea, I could ask an AI: "Is this a good business?" And it would give me a surprisingly convincing answer. Market opportunity. Potential customers. Competitors

... information to make a good decision. For example, imagine AI says: "Small agencies are likely to pay $299/month for this product." That's not really a fact. It's an assumption. And it should be treated differently from: "This competitor currently charges $299/month." That is something you can actually check. So I've been testing a simple habit: Whenever

... developers and people running local AI. Most online tools either track you or send your data to a server just to format JSON or check if a model fits on your GPU. That bothered me, so I started building alternatives that run in the browser whenever

... Whenever I launched something in the past, hardly anyone knew about it. Looking back, it was mostly because I was afraid to talk about what I was building. Fortunately, I've grown out of that. These days I talk about my product much more (maybe even more than I should ), and it's made a huge difference in getting it noticed. I wanted to share a few things that worked surprisingly well for my Chrome extension (a LinkedIn activity tracker ... ... actually happens when sensitive data gets pasted into a chatbot) instead of just listing features ourselves. One thing I'm curious about: for the pre-launch phase, how did you decide which communities were actually worth showing up in vs

... goal: if you want raw eyeballs go Tue-Thu, but for a badge/ranking with a modest following a weekend can punch above its weight. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs favor framing is the most useful line in this whole thread. i caught myself drafting DMs that were basically upvote asks in a nicer outfit. what actually worked was showing up in threads like this one for weeks with nothing ... ... most important thing is to launch as soon as you can and keep iterating to improve, and keep launching Especially with how fast everything is moving with AI, waiting for a perfect time to launch will just let competitors

... only refactor if I'm already touching that code for a real feature reason, never as a standalone cleanup pass. Curious if other people have a clearer line than that, or if you just let the agent refactor opportunistically whenever it offers. Comment from Esat Turan(@esatturan): My rule ended up almost identical to yours: never a standalone cleanup pass, only when I'm already in that file for a real reason. What pushed me there was your exact fear ... ... about what good code looks like. But just as with human teammates, you have to accept some compromises with AI agents. One thing I ve found useful is instructing the agent to add new rules to its own instructions whenever

... feedback from your team as well as from AI. Our AI has watched thousands of hours of video across several different categories, and it gives you the best feedback for whatever your stated goal is. It notifies you whenever new comments land on your video, and it lets you share with an unlimited number of people. You can leave rich feedback too: draw on the frame, drop a pin on the exact spot you mean, or select a range ... ... being able to draw on the frame and select timeline rangesgives it that premium feel without the heavy price tag. Quick question: how does the AI handle different video pacing or retention hooks depending on the platform like YouTube vs

... cloud LLM and let it generate the entire text from scratch for me. I would then copy-paste the output without a second thought. It felt like peak efficiency. But a few months ago, I noticed something alarming. Whenever I had to write an urgent message from my phone without an AI tab open, I started to hesitate. My active vocabulary felt rusty, and I realized I was losing my writing confidence. It brought me to a harsh truth ... ... making us fluent in copy-paste, not in language. The "Pilot" vs

... user___1702026e6f946759d1d798a): This is also one of the first things investors look for. A polished demo can attract attention, but if someone cannot quickly understand who has the problem, how painful it is, and why the current alternatives are inadequate, the conversation hits a dead end. Based on my own experience and a friend who works at 1752vc, the strongest pitches often make the problem feel inevitable before they spend much time explaining the product. Comment from Martin Tanner ... ... Staff" and explain the architecture. It fell flat. What actually landed was naming the specific mess: running a software company, a care home, and a cafe at once, and never being sure which one actually needed me that day versus

... like telegram more than the whatsapp for chatting :) VS Code : i do code . Comment from mono.(@shakutovbekzat): Here s my stack for building mobile apps today: Antigravity + Codex (AI Agent): Switched to this setup recently. Previously, VS

... started, users open AI Mode and enter a natural-language prompt. For example, "keep me updated on nearby movie tickets for The Mandalorian and Grogu." From that point, the agent runs autonomously, monitoring the web and sending push notifications whenever it finds something worth flagging . The breadth of use cases points to an ambition that goes well beyond what Google Alerts ever attempted: tracking stock earnings, flight prices, live sports, housing markets, job trends, and breaking news . Google's vice ... ... factual, structured, and authoritative enough to be cited inside those generated experiences. 3. Your brand's entity footprint now matters across personalized contexts. The same search for "accounting software" will yield different results for a solo founder versus

... just global ones. I d want to see things like: Median votes/comments by category, not only top launches How competitive each category is over time Comment-to-vote ratio by category Early traction curves: first 1h, 3h, 6h vs final position Best launch days/times by category Hunters with consistent activity in specific niches Similar past launches and how they performed The biggest value would be helping makers answer: What does a strong launch look like for a product like mine ... ... about what experience and community building actually contribute over time. Comment from Antwon Randolph(@antwon_randolph2): Upvote velocity by hour (not just total count), conversion from tool page to signup, and where traffic is coming from - organic PH vs

... becomes a real, reusable building block instead of something everyone re-types. AI context now flows from groups You can give a group its own AI context, and it now flows into chat, chart-editing, and automation agents whenever a member of that group is interacting. If different teams think about your data differently engineering versus

... have actually diverged in outcome in the ledger so far and if it's inferred, what's your cold-start before a single divergence has been observed? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... with: - Advanced analytics with 7/30/90-day revenue tracking, conversion rates, and category breakdowns - AI-powered recommendations on pricing, timing, and categories with the highest demand - Market trend predictions showing expected demand curves so you know what to sell and when - Competitor analysis comparing your prices to market averages with market share estimates - Bulk CSV import for power sellers managing hundreds of listings - Promotions & discount codes to drive sales velocity - Gift cards for another revenue channel ## Who Is This ... ... still require you to have money to make money. HeavensLive inverts that: it gives you money and gives you the marketplace to multiply it. The combination of: - Grants (free capital, no strings) - Zero-interest loans (borrow $100, repay $100, whenever

... reason is simple. Reviews have become one of the least trustworthy signals in the app ecosystem. They can be purchased in bulk from services that sell hundreds of five-star ratings overnight. They can be faked with disposable accounts. Competitors can and do leave one-star reviews on rival apps to damage their reputation. For smaller developers without the resources to fight back, this kind of manipulation can be devastating. Public community discussions work differently. When someone recommends ... ... listed on Brotherstock. -A fair ranking system where your position is determined entirely by genuine community interest. A small team with a great app that people love will always outperform a listing that generates no real conversation. -Email notifications whenever

... sales reps the channel switch that books 22 more meetings than cold email. Free tier available, no card needed. Would mean a lot if you'd check it out on launch day. Happy to return the favor whenever you launch something. zinvite.io ...

... build a public resource that helps combat misinformation and separate internet mythology from verified evidence. We re still a very lean team, and the support this project has received has honestly been overwhelming. We ll continue sharing updates here whenever we ship meaningful improvements. If you have feedback, ideas, or feature suggestions, please keep sharing them here. And whenever

... 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

... weeks and honestly I m really happy with it, as long as it stays in copilot mode (I review everything before it ships). I ve leaned on it heavily for a new side project I m building ( BenchCanvas ): market + competitor research, branding notes, SEO ideas, PRDs, and even markdown instruction docs to run in Cursor. It s also been great as a second pair of eyes on the landing design and copy. So for me the trust line ... ... that process data locally whenever

... Here s what I m shipping in v1 and what I m delaying: V1: - ingest blogs via RSS feeds by pasting a URL and use articles or entire blogs as part of your knowledge base for discussions - get updates whenever a new article in a blog you ve indexed is available for discussion - toggle the inclusion of specific articles in blog-based discussions - email blog authors when a user indexes their blog to let them know their work is being ...

... once. If you stop early, you never see the upside. Also: X loves Product Hunt launch announcements Reddit not so much 3/ SEO (but not generic content) Instead of generic AI app builder blog posts, I focused on: Competitor comparisons Alternatives

... paste Olympics. No more token-burning. No more "wait, did I update the Notion doc or just the code?" Here's the new workflow: You're in Notion. Your feature spec is there, looking gorgeous as always. You open VS Code. You tell Copilot: "Read the authentication spec from Notion and implement it" Copilot reads your Notion doc directly. Starts coding. Wait, it gets better. You're coding. You hit your Copilot message limit. (It's 4pm on a Friday ... ... Shared context across tools. So you tell Claude: "Generate documentation for what we just built and save it to Notion" Claude writes the docs and drops them straight into your Notion workspace. Formatted. Professional. Done. You're still in VS