... tracked page views for a year before admitting they told me nothing about whether the product worked. Vanity metrics are comfortable they go up and make you feel successful. Meanwhile the numbers that actually mattered, like whether anyone came back without being reminded, I wasn't measuring at all. The metric

... nowhere with a detailed explanation of a problem they'd solved with it. Something I'd never thought it could do. They'd built a whole process around it and wanted to tell me. It changed nothing about my metrics. It changed everything about how I thought about the product. I'd been counting upgrades. Here was a quiet person who'd gotten more out of my work than anyone, and it never showed up on a dashboard. Have ...

... months tweaking our top-of-funnel acquisition completely ignoring the massive holes where people were dropping off. Shifting our entire team's focus from raw registration numbers to weekly active milestones was painful but it saved our product. What metric finally made your team stop chasing signups and fix activation ...

... monthly active user metric can look completely stable while underlying product usage slowly drifts into a passive state. Realizing that logins do not equal active value creation made us completely rethink how we track long term retention. For founders looking past the initial growth phase: what retention metrics

... send to someone. And I could not shake the feeling that something was off. So I watched people use it. Ten sessions, no skipping. Nine of them used the feature once, got confused, and never came back. My metrics counted that as interaction. My eyes called it a failure. There is a version of data that measures what you told it to measure, and a version of reality that exists on the other side of the screen. The gap between ...

... measured community growth only by counting member signups for the first six months. The numbers seemed good on paper. The discussion boards were quiet. We changed our focus to a metric: the ratio of member-created posts to staff-created posts. We also watched how many questions got an answer from another community member within two hours. The quality of community interactions improved a lot once we stopped chasing vanity registration numbers. Engagement became self-sustaining because community members actually ... ... helped each other. Measure community health by peer-, to-peer interactions of raw headcounts that hide low activity levels. What specific metric

... ChatGPT, Perplexity, or Gemini recommends you when someone asks for the best tools in your category. Build a list of 30 50 prompts your potential customers might actually use. For example: What's the best [category] tool for startups? [Competitor A] vs

... evaluating the metrics on some product recently, and I realized we had a dashboard flooded with different activities: pageviews, clicks, sign-ups, and feature use. However, there was one thing we didn t consider: Did people actually achieve the goal the product was created to help them to achieve? We were counting how people were using the product, but we weren t tracking if their actions led to their desired results. This made me reconsider what kind of metrics

... early days, upvotes were the most important. (They are still in demand now), but people increasingly want comments. Because PH no longer counts only upvotes in the final ranking, but also other things: upvoting, commenting, sharing, etc. Which metric is the most important for you? [As for me, I personally prefer comments over upvotes, where people want to find out more about the product. Writing a comment without AI requires more effort than upvotes, which means that people have ... ... this one is the hardest part. Because being featured is good marketing, but if there is still no purchase, it doesn't mean anything. :D Comment from Shivam Kushwaha(@shivam_kushwaha16): for me comments are the most valuable metric

... been using my website for a while, although not too long, and I understand that SEO takes a long time to make a noticeable difference, but I'm hopeful. I would like to know what the most fundamental metrics are to get an idea of whether I'm on the right track or what I need to improve. If you have your consolidated website , your opinion or if you know about the subject would be very useful. Another point that ...

... Calculating SaaS metrics is my weekend hobby, same as our family budget and the mortgage plan, which is a strange thing to admit. My conclusion so far: almost every number I report has a definition I can move, and the flattering one always survives. Nobody lies. The definition just drifts. MRR: annual contracts divided by twelve, correct, and setup fees in the same total, not correct. Nobody decided that, both arrive as money in the same month. LTV over ...

... honestly changed how we build. Every feature debate started with "does this get someone to value faster?" and it worked, activation went from 5% to over 50% (we wrote a blog post about it here ). But a single metric warps things too. Activation can climb while retention quietly slips, and I've caught myself ignoring real signals just because they weren't the number. So I keep flip-flopping between: One north star everyone recites 2 or 3 metrics

... experiment on the other side 2,400 people talking to sycophantic and non-sycophantic versions. The people getting the flattery rated it more trustworthy and said they were more likely to come back. Return rate. Trust. The exact metrics you stare at in your dashboard. And those same people walked away more convinced they were in the right and less willing to apologize or repair the actual relationship they'd come in about. Worse, they couldn't tell the difference ... ... uncomfortable and true. If my product optimizes that friction away, I've built a very sticky way to make people slightly worse. So we design against the default on purpose, and it costs us some of the warm-glow metrics

... Spent a chunk of this month checking metrics I assumed mattered and found out they didn't. Checked AI Overview traffic on three real sites in Search Console. Zero clicks, zero impressions, across all three. The AI search panic did not show up in the data at all, backlinks and normal indexing did all the actual work. Checked how far my own X replies traveled. Follower count never moved the number once. What decided reach was entirely which post ... ... smaller posts. Here on Product Hunt the surprising one is Contributor. It sits at 0 out of 5 no matter how many comments I write, because it only counts the room reacting to me, not me posting. Three different metrics

... ScrapeOps Proxy Aggregator, we've integrated around 50 proxy providers into a single tool. We continuously test and benchmark them to determine which providers offer the best performance at the lowest cost for different target websites. The main performance metric we've settled on is average success latency: How quickly does a provider return a successful response? Success rate or latency alone doesn't tell the full story. A provider might respond quickly but have a low success rate. Another ... ... these factors together. It helps us measure how much successful throughput we can send through a provider, how reliably it performs over time, and how much that successful traffic actually costs. We then combine this with pricing to calculate metrics

... separating activity from impact . It's surprisingly easy to optimize for numbers that always go up. It's much harder to optimize for numbers that can go down: Weekly active users Returning customers Feature adoption Customer satisfaction Retention Those metrics are uncomfortable because they tell the truth. So now, whenever I review a week of work, I ask one question before looking at anything else: If I hid every metric

... Sorry, I'm a PH launch rookie. Launched yesterday but my metrics and dashboard have not updated since then, and I know I'm getting upvotes and comments, per notifications ...

... switching tabs. This changed our whole product philosophy. We realized that solving UX friction and context retention creates far higher user satisfaction than just upgrading to a newer LLM. As builders and product managers: What is one non-obvious metric or user behavior that completely changed how you design your product? How do you balance adding flashy new features versus

... Almost nobody saw them. Views told me the hook worked. Depth told me everything after it didn't. I'd have made exactly the same mistake again if I'd only looked at the first number. What's the metric you nearly missed that changed how you build ...

... comparing, the "efficient" tool flips. Zero-shot capability and token frugality don't always come from the same tool. On raw benchmark performance, Claude Opus 4.6 sits around 80.8% and GPT-5.5 powering Codex around 88.7% on the metrics one source tracked, but Claude Code holds an 88.6% SWE-bench Verified score by another measure. The benchmarks genuinely don't agree with each other depending on methodology, which is its own lesson. Price-per-output tells a different story than ... ... work. Stephanie's time-to-merge is the same instinct measured in hours instead of tokens, with the advantage that it is already sitting in your git history. Comment from Stephanie Tang(@stephanie_t0317): Token efficiency is an interesting metric

... product - setting up a data warehouse and tracking absolutely everything that happens in our app was super easy - but also for being a massive inspo for our own raccoon branding Comment from Hossein Yazdi(@hosseinyazdi): I like this approach. Metrics are much more useful when they're tied touser success instead of just activity. Tracking whether someone actually reached a meaningful outcome gives you clearer signals on what to improve than watching signups or pageviews alone. Comment from Omri ... ... save time and end up flying blind on exactly the parts they should still be watching closely. Comment from Dawid Baranowski(@dawid_baranowski): @satchmo_saunders  Appreciate you man! For us, we're still deciding on the north star metric

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... solve count. No way to surface your dev.to articles or Medium posts as actual content rather than buried links. No integration with your YouTube channel showing your technical talks. No live GitHub contribution graph. No product showcase with real metrics

... Claude Sonnet pricing: Input: $3 per million tokens Output: $15 per million tokens (unchanged by compression) Cached input: $0.30 per million tokens (90% discount) My savings come from two sources: Fewer input tokens (compression) More cache hits (prefix stabilization) Metric Before After Daily input tokens 990K 268K Cache hit rate 12% 48% Effective input cost/day $2.90 $0.62 Output cost/day (unchanged) $7.50 $7.50 Daily total $10.40 $8.12 Wait, that is only $68/month savings on raw math. Where does the $200 come ... ... file reads, fewer redundant tool calls, fewer wasted output tokens on re-doing work. Does Quality Actually Stay the Same? I was skeptical too. Here is what I measured over 4 weeks: Code that compiles first try: 78% (before) vs

... help makers answer questions like: Which categories are becoming more competitive? Which hunters are consistently active? When is the best time to launch? What engagement patterns correlate with successful launches? If you could see any Product Hunt metric or visualization, What Product Hunt metrics

... 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 Aliya Zhanabay(@aliyazhanabayy): my 5: 1. claude code. i build my whole product with it and at this point it's basically ... ... apps like notion or todo-ist. recently tried blitzit which worked great until I ran out of my free trial. Comment from Ethan Cheng(@ethan_cheng): @busmark_w_nika  i read that motion is a good alternative