... happy with the growth. September Said 'largest PC manufacturer' went through a reorganisation. The opportunity disappeared. That was that. We kept building and reached 400 users. October A large AI community discovered Ting. An Instagram post caused a huge spike in traffic and brought a wave of VCs to us. We took the calls but told them we weren t raising. Another lesson: always be ready to raise, especially as an AI startup. These conversations can take months, and investor ... ... 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

... users. In reality, building and distribution need to happen in parallel. The earlier you build an audience, the easier every launch becomes. Comment from Sharun Kanan(@sharun_kanan): @rohanrecommends  Thanks Rohan, and yeah, #2 feels good. Your vertical-vs-horizontal point is one we've had to answer architecturally. The horizontal layer is the foundation: Verse Engine (our browser-native 3D engine) and VersaAI (image/text to 3D) are the infrastructure everything runs on. But we don't take that ... ... Putatunda(@somesh_putatunda): @sharun_kanan   @tiffany_trboyevich  Thank you, Tiffany. And I really like the way you put that earned rather than surreal. The email-list lesson is painfully relatable too; a launch can create a huge spike

... When launching or scaling a product, server timeouts during sudden traffic spikes are one of the most frustrating things that can happen. While testing higher concurrent loads on our backend, we noticed our app was dropping connections not because the CPU was maxed out, but because the database couldn't handle too many open connection requests at once. Here are 3 quick tweaks we made to fix connection bottlenecks: 1. Implemented Connection Pooling: Managed and reused open database connections instead ... ... Graceful Fallbacks: Set up proper timeout limits and retry logic on the frontend so users get clean fallback UI instead of hanging load states. This reduced our database response times significantly and stopped server crashes during concurrent user spikes

... lost. Have you found one strategy that's helped you earn trust faster with new customers? Comment from Somesh Putatunda(@somesh_putatunda): @abdullah_javaid3  That's a great way to look at it. It's easy to celebrate spikes, but sustainable growth comes from understanding which channels keep bringing the right users back over time. The patience required to figure that out is often underestimated. How long do you usually give a channel before deciding whether it's truly ... ... discover you through proof. A 20-second clip of the thing actually working got us more genuine curiosity than any pitch ever did. Still feels like early days on this, though. Curious if you've found anything that compounds, versus

... there's a distinction I keep thinking about: apps built with AI (Cursor, Claude, Copilot writing the code) vs apps that depend on AI APIs at runtime to function. I'm in the first camp. I used AI-assisted coding heavily to build Briskly (a cleaning app that scans your room and generates a timed task list), but the app itself makes zero LLM API calls. The scanning runs on Apple's Vision framework, entirely on-device. No tokens ... ... pricing volatility bitten anyone yet? Anyone shipped with local/on-device models (Apple's Foundation Models, Core ML, quantised open models)? How was the quality gap in practice? Where's the line for you? Which features genuinely need a frontier model vs

... paid conversion. 25%+ with PQL. Webinars (live): 22-33% CTA conversion. High-engagement webinars hit up to 69%. AI search (GEO/AEO): 4-5x higher conversion than traditional organic. One B2B study found AI-referred traffic converted at 7.12% vs 1.37% for organic. Another found 14.2% for AI traffic. Quora: 2-5% conversion. 35% of B2B decision-makers answer questions on Quora. Reddit: 0.3-1.5% post-to-customer conversion in fit subreddits. CPC of $0.50-$2.00 vs

... like topic research you did not commission. Google pairs annotations with checking whether an external update, such as rewriting a YouTube title or TikTok caption, affected search performance over time. It pairs the 24-hour filter with catching sudden spikes. Running those together is my idea rather than Google's guidance, and I want to see whether it holds up. Exporting several properties into one spreadsheet lets you compare how your content performs side by side across platforms rather than ... ... laid it out well, thanks. The part I'd push on is your annotation + 24h idea I think it holds for one big discrete change like a retitled video, but Google attributes over a window, so a spike

... evaluate tools for my own workflow: a lot of products look reasonably priced on the surface, but the actual cost/value only becomes clear after you're locked in auto-renewing annual plans marketed as "discounts," usage-based pricing that spikes unexpectedly, or feature-gating that pushes you into a much pricier tier than you expected. Curious to hear from other makers and users here: What's a pricing structure that seemed reasonable at signup but turned ... ... avoid this exact reaction from users? Would love this to turn into a useful reference for both users evaluating tools and founders designing their own pricing pages. Comment from Rittwika Roy Choudhury(@rittwika_roy_choudhury): @alieksia  The "$1.99 vs

... After the initial launch spike on Product Hunt, most early-stage founders face a critical fork in the road: whether to double down immediately on aggressive paid distribution or spend those first weeks refining onboarding based on launch feedback. From analyzing recent SaaS releases, a recurring pattern shows up: startups often see high top-of-funnel traffic during launch week, but bounce rates spike

... Google still largely shows traditional results. AI search is mostly eating informational traffic, not purchase-intent traffic. Second, the traffic that AI does send is higher quality. ChatGPT-referred visitors spend an average of 15 minutes on a website versus Google-referred visitors at 8 minutes. Sessions from AI referrals grew 527% year over year in the first five months of 2025. Third, only 16% of brands are systematically tracking their performance in AI search. That means 84% of your ... ... competitors

... been working on it for nearly 3 months late nights, endless bug fixing, polishing the UI until it felt just right. In my head, launch day was going to be this big moment where traffic spikes, people leave reviews, and feedback comes pouring in. Reality? Complete silence. For the first 48 hours, I refreshed my analytics page every 10 minutes. 42 visitors. 0 signups. No DMs, no comments, nothing. My first reaction was panic: "The product is garbage. The positioning ... ... Comment from Minh Nguyen(@minhnguyen3719): What was your "oh shit" moment right after launching? How did you break through that initial wall of silence to get your first 10 active users? Comment from Sabber Ahamed(@sabber_ahamed): the friends-vs

... What is your tool about? What does it do? :) And does it have your first initial testers? Comment from Nika(@busmark_w_nika): @abidhusain  When you describe it like this, it sounds complex. Does it have any competitors at all? Comment from Nika(@busmark_w_nika): @abidhusain  I am curious when you will launch. Once you are ready, I will gladly upvote. :) Comment from Nika(@busmark_w_nika): @shantmele  OMG, it is so cute ... ... only to personal story (my coding skills are limited since I am trying to learn coding) :D Comment from Nika(@busmark_w_nika): @dinocorreia  To be honest, for now, I was able to find only one competitor

... When a site suddenly introduces hundreds or thousands of new URLs, Google does not automatically expand its budget to accommodate them. It evaluates the site based on three factors: Perceived Inventory: The total volume of URLs Google believes exist versus what it actually deems useful. Demand: How much users and Google actually care about the topics you are publishing. URL and Domain Popularity: The baseline authority your site possesses to justify the processing cost. If you flood your site with ... ... thin or repetitive AI-generated pages, Google quickly realizes the demand and popularity do not justify the massive spike

... Everyone talks about launch day. The upvotes. The ranking. The traffic spike. But for me the best moment is quieter than that. It's when a stranger uses something you built and it just works for them. No help needed. No DM asking how. They just got value out of it and moved on with their day. That moment is why I build. And I think it's massively underrated in conversations about what makes building worthwhile ... ... landed, not just the traffic. launch day energy is fun but it's mostly adrenaline, this quieter stuff is what actually tells you if you built something real. Comment from Rahil Pirani(@rahilpirani): @omri_ben_shoham1 Launch day comments vs

... sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page and tracking QA. Checks every URL and pixel fire in the account. 9. Competitor ad monitoring. Scrapes Meta Ad Library, sends me a weekly digest. 10. Anomaly detection and alerting. Spend spikes

... minute flow works (the user's journey): 1. Connect (30s) - User links a source: uploads a CSV/Excel, or connects a database, Google Sheet, Stripe, etc. 2. Understand (30s) - Your system profiles the data automatically: detects column types, dates, metrics vs. dimensions, and relationships. This is the step that makes the rest automatic. 3. Generate (45s) - It picks the right visualizations (trends over time, top categories, distributions, KPIs) and lays them out into a coherent dashboard - not just random charts ... ... Explain (15s) - An LLM reads the results and writes plain-language insights: "Revenue grew 18% MoM, driven mostly by the Enterprise segment; churn spiked

... what timeframe worked for you? Do you keep soft-deleted rows for analytics or GDPR reasons? Any retention windows you recommend? If you have automated detection , what signals did you use (IP clusters; identical metadata; signup rate spikes)? Cheers! Comment from Pedro Reis(@pedromlsreis): @alieksia   @artk  The honeypots idea sounds actually pretty clever to deal at least with the lower-grade bots, thanks for the suggestion! The only hesitation that comes to my mind is that password managers ... ... part that bites people, because late-confirmers exist and you can't get them back. We soft-delete (flag + deleted_at) and just exclude unconfirmed from active counts, then purge much later. For detection, identical metadata + signup-rate spikes

... whole career around social media content and how it travels, which is probably why this particular problem has bugged me for years. Recently the thing that got me: I kept watching friends launch great products, get a nice spike, and then go completely quiet weeks later. Not because the product got worse, they just put their heads back down to build and stopped sharing, and the momentum died in that silence. So we built Spira for Product Hunt Makers ... ... much to comment just wanted to say that I love the idea. Good luck with your journey! Comment from Rahul Bhavsar(@rahulbhavsar): The momentum problem is very real. A lot of founders do the launch, get the spike

... There are so, so, many email apps out there: Superhuman, Hey, Slashy, Cowork gmail plugin, Spark Mail, Proton mail, Spacemail, Titan, Shortwave, Alfred, Canary, Spike, Tuta, Skiff, Icloud, Zoho, Yahoo (if it counts even). But has any one of us tried it before? Why/Why not? Comment from Sarvesh Chidambaram(@sarveshsea): I try alternatives

... coding sessions more enjoyable than standard keyboard clicks. VS Code My primary editor for writing, debugging, and maintaining code every day. Claude & ChatGPT Useful for brainstorming ideas, refining concepts, and summarizing information. GitHub & Git Bash Essential tools for version control, code management, and collaboration. Vercel Used for deploying and hosting my websites and applications. Comment from Manish(@perphect): Claude & peaceful music on spotify to kill my ADHD spikes

... those features that sounds simple but saves a ton of time once you've got hundreds of saved videos sitting there unwatched. Curious how it holds up on longer form stuff like 1-2hr podcasts versus a short clip. Comment from Nolan Vu(@nolan_vu): @nidhisachan  I am glad to share and support your business case. Hope that your product can upgrade and develop further later on. I will continue sharing new stories so that businesses like your ... ... such a sharp positioning line, car listings hiding damage is one of those industry-wide trust problems nobody talks about directly. Solo and 4 weeks in is no joke. My honest take on your free-tool-vs

... whatever killed the pod didn t let it run any more JavaScript on the way out. The convenient theory The convenient theory was OOM. Node.js services hit the cgroup limit, the kernel reaps the process with SIGKILL, the dashboards spike, the pod restarts. We ve seen it before, and it s the first thing anyone reaches for. We looked, and container memory stayed comfortably below the limit on every restart we examined. The in-app memory watchdog (which logs ... ... MEMORY_WATCHDOG_THRESHOLD_PERCENT and raised it from 80% to 90%. The watchdog triggers a graceful shutdown when RSS crosses the threshold. It s useful as a safety net, but it was firing too eagerly during recoverable native-memory spikes

... Bitgrain, we found that maximum users came from blog features! yes and to be exact, the new users spiked upto 8.8k on a single day (that was the highest) and all came from blogs! Currently the max source is organic search and ai responses. Which channel is working the best for your brand? Comment from Ghost Kitty(@ghost-kitty-9847602): Comment Deleted Comment from Diptanshu Mahish(@diptanshu_mahish): @violet_amelia  yess ! Comment from Diptanshu Mahish(@diptanshu_mahish): @sophie ... ... products list, it got published on a superhuman blog, that brought in huge audience, and a few more blogs, organic, bitgrain blogs didn't bring in much Comment from Diptanshu Mahish(@diptanshu_mahish): @milescward  I research on the competitors

... switch is actually less painful than it sounds. No team governance headache, no justifying a flat seat cost when you're shipping slowly. You only pay when you're productive. The harder question is whether to stay in the VS Code + Copilot orbit at all. I've been spending more time in Claude Code directly, and the context-window approach it takes feels more useful than inline autocomplete for the kind of feature-building work that actually moves a project ... ... forward. Curious how others are weighting the "inline suggestion" tools vs

... welcome and wishing my best with the launch :) Comment from Nika(@busmark_w_nika): @nowaffl  Personally, when would you start preparing on the launch? Comment from Nika(@busmark_w_nika): @lacikiszely  What are low results vs wow results according to you? Comment from Nika(@busmark_w_nika): @shirr  Hey Shir  it depends what is your primary goal, but of course, more exposure is during the work week :) Comment from Nika(@busmark_w_nika): @byalexai ... ... real conversation beats a pile of silent upvotes. 4. Show up and reply to everyone, fast, like a human. The thing I underestimated until recently: how much the boring prep (assets, audience, a tight story) decides the day vs