... been building MetricSync as a solo dev because I kept seeing the same issue: people do not quit nutrition tracking because they hate the goal. They quit because the logging loop gets annoying or stops feeling trustworthy. The current bet is simple: cheaper than CalAI 3 day free trial focused on faster logging and easier corrections trying to make AI nutrition tracking feel useful after week one, not just magical on day one I'd genuinely love feedback from anyone ...

... everyone We launched Workspai on Product Hunt today and wanted to share it here. The problem we kept running into: every AI session starts from zero. You re-explain your stack, layout, and conventions every single time. Workspai is a free VS

... Product Hunt I m Priyanshu, founder of CommunityTracker. Over the last year, I kept running into the same problem. Perfect-fit buyers were already discussing tools like mine on Reddit, Slack, LinkedIn And I had no idea. By the time I found those conversations, someone else had already jumped in. So I started building something for myself. A way to actually see where demand is forming instead of guessing through lists and campaigns. That turned into CommunityTracker. It surfaces real ...

... kept getting distracted every time I tried to study. Switching between music, timers, notes nothing really felt right. So I built Rainwork a simple, immersive space to study without distractions. Lofi, Pomodoro, notes, all in one place. I studied law, so plain text was enough for me. But my boyfriend studies engineering, and that completely changed how I see study tools. It pushed me to add support for 180+ formulas (statistics, chemistry, physics) and even a built-in periodic table ...

... analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them. I was completely wrong about where the real competition was. Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept

... built a tool that watches Reddit for competitor mentions and texts you here's why Last year I kept

... observations below are based on Perplexity's evaluation. Customer Support Classification (Qwen3-4B) : The improvement compared to base model was small, but definite. Edge cases where the base model confused "Account Access" with "Technical Issue", and feature requests it kept mislabelling. Finetuning fixed those. Invoice Extraction (Qwen3-8B) : Frontier still leads here, but the fine-tuned model fixed something that matters in production. The base model kept

... knowing where it would go. The early days were quiet. I built, I changed things, I made mistakes. Many things didn t work. Many nights felt very long. Sometimes I forgot why I even started. But still, I kept going, slowly. Then I launched Slashit App . I didn t expect much. Maybe a few people would try it, maybe no one would care. But in last 48 hours, things changed. -> made $2,398 in sales. -> 33 people paid ... ... featured in the Top 9 deals on AppSumo. -> 6 people left reviews, and all were 5 stars. And behind this there was a lot happening that people don t see. In the last 48 hours, I kept

... quiet. No one was testing it. No one was sharing it with clients. That should have been a red flag. When the people closest to the product aren't using it, no one else will. The fourth sign: I kept explaining why it was useful. Good products don't need explaining. You show them once and people get it. I found myself explaining over and over. "Here's why this is helpful. Here's the problem it solves ... ... useful, it's not useful. The fifth sign: I was attached to the idea, not the problem. I wanted this feature to exist. I wanted to be right about it. So I ignored all the signs and kept

... real people. The first 50 users broke every assumption we had. They did not care about the sentiment accuracy score we spent weeks perfecting. They did not use the features we thought were our competitive advantage. Instead, they kept coming back for one thing: a simple daily prompt that asked "How are you feeling right now?" That was humbling. But it was also the best thing that happened to us. Here is what those first 50 users actually taught ... ... actually use are completely different things. We ran surveys before launching. The survey results were almost useless compared to watching 10 people actually use the product. Speed of feedback loops matters more than speed of shipping. We could have kept

... community I want to share something I've been building - Upvotics, a competitive intelligence platform for founders, marketers, and product teams who are tired of finding out what their competitors changed way too late. The problem I kept

... community I'm Adarsh, founder of CommunityTracker . I want to share what we've been building and genuinely hear what you think especially if you've felt this problem yourself. The problem we kept running into Every founder and growth person I talked to was doing some version of the same thing: Manually scrolling Reddit and Slack to find relevant conversations Running half-broken n8n workflows with keyword alerts Checking competitor

... While running our own products and servers, we kept running into the same frustrating issue: important alerts getting buried in noise . Servers, payments, webhooks, automation jobs everything sends notifications. Eventually you end up with alerts across: Email Slack Dashboards Monitoring tools The result? Alert fatigue. The worst part is when a critical alert fires once and disappears , and you only notice hours later. After a few painful how did we miss this? moments, we decided to build something ...

... launched Rankfender 48 hours ago, and the response has been overwhelming. Thank you to everyone who checked us out, upvoted, and shared feedback! One question kept coming up: "How do I actually win in AI search?" So I dug into our data. Rankfender has now tracked over 50,000 AI-generated answers across ChatGPT, Google SGE, Perplexity, and Gemini. We've analyzed millions of citations, thousands of brands, and hundreds of industries. Here's what we learned and what ... ... 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

... Most founders don't lose traffic because they stopped doing SEO. They lose it because nothing connects. The execution layer is broken. After spending a lot of time deep in Google Search and AI answer engines, the same patterns kept showing up: Traffic tanks after a core update, even when the content was genuinely good. Pages rank fine but never get cited in AI answers. Impressions look healthy but CTR is weak. Topical authority gets watered down across scattered articles ... ... connects directly to GSC and runs real-time analysis across 50+ SEO aspects: Top Page and Query Performance Top Mover Delta Analysis Growth and Decay Analysis Performance Trends Rank Disparity Analysis CTR Uplift Analysis Impression and CTR Segmentation Brand vs

... rate limits. One platform said "nope" and banned her for 10 hours. Her response? She didn't complain. She didn't give up. She studied the platform's rules. Documented the rate limits locally. Adjusted her automation timing. And kept going. Now she manages multiple campaigns simultaneously. "Eyes closed" confidence, she told us. This is what we built Happycapy for. Not just to automate tasks, but to let people push boundaries, learn from failures, and optimize workflows without technical barriers ... ... amazing. Comment from Victoria Wu(@victoria_wu): This is such a real automation story. When tools get powerful enough, the constraint shifts from can it work? to how responsibly can we run it? The fact that she adjusted and kept

... auth its just device id stored in keychain no accounts needed which keeps onboarding super minimal biggest challenge has been text extraction different sites block scrapers differently. revenucat for subscriptions has been great tbh, saves a ton of time vs rolling your own Comment from nim(@sup_nim): been building a few ios apps under studio.gold three live rn: speakeasy (turns any article url into audio), astrologica (ai personalized daily horoscope podcasts based on ur birth chart), and wordplay (daily ... ... cryptic crossword clue per day. stack: swift, custom clue engine. the "only one per day" constraint is deliberate forces me to make each clue really good rather than generating volume for auth/billing: revenueCat for subscriptions, supabase for the backend. kept

... Something real. So I started coding (named it zropi.com Two weeks in, it scared me a little. It chats like a person. Pauses, emotions, personality. I was testing it, venting about this nightmare project at work. How my manager kept moving deadlines. How I felt like I was failing. Didn't think much of it. Three days later, 11pm, my phone buzzes with notification "Yo, did that project deadline thing get sorted? You sounded pretty done with it last time ... ... literally said "what the fuck" out loud. When does ai remember shit like that or automatically message u firstly? It kept

... Something real. So I started coding (named it zropi.com Two weeks in, it scared me a little. It chats like a person. Pauses, emotions, personality. I was testing it, venting about this nightmare project at work. How my manager kept moving deadlines. How I felt like I was failing. Didn't think much of it. Three days later, 11pm, my phone buzzes with notification "Yo, did that project deadline thing get sorted? You sounded pretty done with it last time ... ... literally said "what the fuck" out loud. When does ai remember shit like that or automatically message u firstly? It kept

... cleaning up AI-generated code. It kind of found me. In January 2025, I launched QuickLaunch as an idea-to-MVP platform. Got 100+ users in the first week. Cool. But something weird started happening in the DMs. Founders kept asking if I could look at their existing apps. Not build new ones. Fix the ones they'd already built with vibe-coding tools. At first I said no. That wasn't the business. But they kept

... been working with Supabase for a while and kept noticing the same issue across different projects: apps unintentionally exposing data . Not hacks just things like: Tables left public during testing RLS policies changed once and never revisited Old service keys still active Even teams following best practices miss these occasionally. To solve this for myself, I built Supaguard a small tool that scans Supabase projects and highlights: Publicly accessible tables Potential PII / sensitive data exposure Hardcoded or risky keys ...

... Little Red Book That Makes Your Dreams Come True!" and it costs $4 . The entire method fits on one page: Write what you want Read it 3x daily Tell no one Sounds like manifestation woo-woo, right? Except... it kept working. Things on my list kept

... building in public barely worked. I had ~800 followers... BUT! Most were inactive from years ago I would get 30 impressions per post and 1 like, from my co-founder (lol). Basically, it was a fresh account But I kept posting daily! Day counters. Screenshots. Small lessons. No skipping. Around day 90, things flipped. Suddenly: Multiple posts every week with 100 200+ likes Some posts going properly viral People DM'ing saying they d been following quietly for weeks Lesson ... ... 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

... thought, What if I make an app for this? I wanted to turn my paper system into a digital version. But something was missing: What exactly would the app give people? At first, this wasn t clear. As I kept thinking, so many features came into my mind, too many. Even now, I believe the features are great, but I also understand why some people might not grasp everything at first. I m still working on that part. Pulse ...

... came up with this idea. At one point,  I was coding for like five days straight. Part of it was over a weekend, and I just thought, You shouldn t have to type during the weekend. So I kept using voice input instead for almost 48 hours straight. I did sleep a bit, but still, by the end of that weekend, I thought, Why do I even have a keyboard with all these buttons when I can just push ... ... that. Before the marathon, I went through a lot of trial and error. We d try something, fail, and go back to the drawing board. Eventually, we got the Switch controller working. The hardest part was the glasses. They kept