... growth hacks. Just people finding value and sticking around. Full transparency: right after launch, we hit a few major bugs that caused a dip in engagement. The good news : we fixed them quickly and our weekly retention bounced back. PeakRoutine is now back to 66% WAU/MAU , meaning nearly 2 out of 3 monthly active users are coming back weekly . For a health routine app, this matters a lot to us. We're not building another passive dashboard. PeakRoutine

... everyone, Siddhant here, founder of @PeakRoutine First and foremost thank you. We genuinely never imagined we'd crack the top 10, let alone land at #4. The engagement, the comments, the kind words you made our day, and we mean that. Some of the feedback we received left us both surprised and deeply moved. It's one of those rare moments where you realize the work you've been quietly doing in the background actually resonates with real people ... ... little honest backstory When we first started building PeakRoutine

... apps, running Multi-Agent loops, or setting up open-source WebUIs (like Open WebUI or Next Chat), you ve probably run into these two frustrating bottlenecks lately: The Cost: Calling premium endpoints drains API budgets incredibly fast. Rate Limits & Peak-Hour Latency: Upstream channels frequently throw HTTP 429 errors under heavy traffic. Waiting 30 80 seconds for a response during peak

... been building PeakRoutine for the past 1.5 years and honestly, growth marketing has never been my strong suit. It's not my core skillset, and it's not something I naturally enjoy. So I did what any engineer would do: I leaned into what I love, and built an agent to handle it. Over the weekend, I put together a marketing agent that researches trending topics in the health space, generates summaries, and publishes polished LinkedIn posts fully autonomously, after ... ... bridge to get things moving until you find them. If you're in growth marketing and find this interesting, I'd love to connect and explore how we can build something even better together. Happy weekend, everyone! Sid Founder, PeakRoutine

... come across (and I m sure you have too) several products whose actual usefulness wasn t exactly impressive, but their creators still made a huge amount of money. For me, for example, it was: Fidget spinners (2017) . At the peak, the global market was estimated at hundreds of millions to over $1 billion. Metaverse land (2021) valuation could be for tens or even hundreds of thousands of dollars each, with the overall market reaching hundreds of millions during the peak

... newest project: LocalAPI ( https://local-api.com/ ) a REST API that extracts complete data from any local business on Google Maps in just 2-3 seconds. What makes LocalAPI unique: It's the only API that delivers Popular Times data (peak hour histograms) no competitor

... everyone Over the last few months, I ve been building PeakRoutine , a product that tries to solve a problem I personally faced while using wearables. I realized something interesting: Modern wearables track a huge amount of health data sleep, HRV, activity, recovery, stress but most apps still leave users asking: What should I actually do with this data? You get dashboards, graphs, and scores but very little actionable guidance . So we started building PeakRoutine

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our competitor

... doesn't distinguish between a crisis that's over and one that's ongoing. A brand might have resolved a crisis 18 months ago. Issued corrections. Done the work. But if the model was trained on the peak-coverage moment and hasn't been updated, it still serves that version to users asking today. No recency signal. No correction mechanism. The damage keeps distributing. 3. Comms teams don't have a playbook for this yet. I've talked ...

... answer first. If they find it immediately, they cite it. The structure makes extraction easy. Step 2: The Comparison Page Template Comparison pages drove 40% of our citation growth. Here's our exact template: Title: [Brand X] vs [Brand Y]: Which is better for [use case]? Quick verdict (100 words) Who wins and why One sentence summary Feature comparison table Feature Brand X Brand Y Feature A Feature B Feature C Price XX YY Detailed breakdown (by feature) How each ... ... margin of error. Result: This block was cited verbatim by Perplexity within two weeks. Step 5: The 90-Day Update Cycle We analyzed citation decay across 500 pages. The drop-off is steep: Months Since Update Citations (vs

... workarounds. QR Code Redemption Isn t as Simple as It Sounds QR redemption looks trivial until you deploy it in real-world conditions. We ran into issues like: Poor connectivity in busy stores Delayed server responses Failed redemptions during peak hours When QR redemption fails, users don t retry politely. They abandon. What worked? We implemented offline QR scanning on the vendor side: Scans work without internet Redemption data is stored locally Sync happens automatically once connectivity returns This single ... ... problems we saw: Large redemption datasets Heavy analytics queries Slow page loads during reporting What fixed it: Lazy loading instead of bulk fetches Indexed database queries Pre-aggregated analytics refreshed periodically This reduced dashboard load times by 60%+ during peak

... noticed two main narratives in how companies view their competitors. Either it s a fight to the death approach exactly like what we see between Replit and Lovable (though it seems Replit does more of the provoking ) basically: We speak badly about our competition. Or it s more motivational: We speak positively about our competition. Tho I do not know whether I have seen some example of this competition, I can see it only in terms of personal branding when ... ... people do not want to say bad things about someone, even when they are competitors

... Sneak peak of HeyMeetAI : an autonomous AI delegate that joins meetings, talks actively and actually does the work. Watch this video as a sneak peak

... journey. When people optimize purely for financial exits or Forbes lists, they often miss the deeper satisfaction that comes from building something meaningful over time. I've noticed the most fulfilled entrepreneurs I know aren't trying to "peak early," they're playing infinite games. They see each project as building skills, relationships, and understanding for the next challenge. Success becomes about growth and impact, not just achievement milestones. The founder you mentioned from Loom probably felt lost because ... ... least bearable. The people you surround yourself with and finding activities that help you decompress is everything:) Comment from Soul Lenz(@eliza_pogorilska): @kaustubhkatdare I guess everyone of us has that moment in life which meant to be a peak

... trending topics https://trendlyai.com/ After one weekend spent creating content that flopped because I was 48 hours behind a trend, I decided to build a solution. Trendly AI predicts trending topics BEFORE they explode (not after they've peaked), generates platform-optimized content with one click, and helps transform content across multiple platforms. Key features include: Real-time trend prediction dashboard AI-powered content generation Cross-platform content transformation Performance analytics We're offering a 7-day free trial ...

... Product Hunt family, We re getting ready to launch PeakRoutine ( https://www.producthunt.com/prod... ) for the first time on PH soon, and we re super excited (and a bit nervous!). It s been a journey of building, iterating, and learning from early users and now we re finally ready to share it with the world. But we also know that a successful launch takes more than just showing up. So I d love to hear your advice on how to: Maximize ...

... always been deeply curious about how health actually works for each person. After seeing how confusing and generic most wellness advice is (even with wearables!), I teamed up with my wife (also an engineer!) to build PeakRoutine ( https://peakroutine.netlify.app

... Mine is to protect your peak hours. Here's a simple framework: First, master comms before mastering the schedule: Write with brutal clarity (lists, short sentences, no fluff) Drop links to all docs you mention (simple + helpful) Optimise for easy decisions & yes/no answers Explain why it matters for better context Bundle your comments and feedback Then hack your energy patterns: Learn to listen when your energy peaks