... loop itself query the database, send the email, update the record without a human in the middle. The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action to take, and what parameters to pass based purely on context without it going off the rails? A few things we've learned building this: Intent detection is the core problem. The AI needs ... ... negotiable. Non-deterministic systems are hard to debug. Every action call needs full params + response logged so you can understand exactly what the AI did and why. Curious how others are thinking about this: How are you deciding

... loop itself query the database, send the email, update the record without a human in the middle. The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action to take, and what parameters to pass based purely on context without it going off the rails? A few things we've learned building this: Intent detection is the core problem. The AI needs ... ... negotiable. Non-deterministic systems are hard to debug. Every action call needs full params + response logged so you can understand exactly what the AI did and why. Curious how others are thinking about this: How are you deciding

... back to work. Because the win wasn't the point. The point was always the bigger vision: to build an open memory layer instead of restricted in one AI tool, we want to build an ecosystem where you decide where your knowledge lives and which AI model or tool gets to use it. What we validated and what we chose to let go Our initial Product Hunt launch proved there was real demand for a tool that optimises prompts based ... ... team resource. Share any bucket with a collaborator as a viewer or editor. And then came the life time deal With these features shipped and a clearer sense of who we were building for, we decided

... Since sharing Prodshort here on @producthunt , we ve received a lot of early feedback. Ideas, feature requests, small improvements, UX feedback sometimes things we didn t even think about. How do you decide what to actually build from all that feedback? Some feedback looks useful at first, but once you test it, you realize it adds complexity without real value. Other times, a small suggestion turns into something essential for the product. Would love to hear from your experience ...

... spent my entire career working for corporate firms leaving me very little time to complete and market something of my own. I recently decided to complete a personal project which launched today. Marketing isn't my forte so I'm learning from you all and hopefully will pick up some useful skills on this journey. Looking forward to sharing ideas, collaborating and providing feedback. Gary ...

... built Prodshort because I understood after my previous companies that the hard thing is not to Build but to Sell. But because I'm a builder, not a seller. I decided to build something that Sells for me. And Because the trend is Founder Led Marketing, I decided

... again after 30 days Request volume how many users asked for it The gap between what people asked for and what they actually used was massive. What the data said Feature Adoption Retention (30d) User requests What we decided Workflow Engine (automation) 78% 64% 3 requests Prioritize now RAIVE (AI visibility tracking) 71% 58% 7 requests Prioritize now RCGE (content generation) 68% 52% 11 requests Prioritize now ROSE (on-site optimization) 45% 31% 9 requests Keep, enhance later Social/Community Engine ... ... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs. Memory Retention Take a step back. Why do you want to use spaced repetition? To remember languages To retain programming concepts To master music theory To ace exams To keep professional skills sharp What's common to all these goals ... ... catch yourself at 60 seconds, stop. Simplify. Split into two cards. Use shorter text. The card doesn't need to be perfect. The spaced repetition algorithm will fix it over time. Rule 2: Create Immediately When You Decide

... clearly dropped. But the more I use these tools, the more it feels like speed isn t the limiting factor anymore. The real constraint seems to be taste. what do you choose to build? what do you keep vs discard? what actually feels right vs

... apps like CineTrak for years, until they started imposing limits on lists. I also tried other popular trackers (TV Time, Letterboxd, IMDb), but I couldn't find the perfect app for my needs. So, over the last year, I decided to build my own personal alternative

... problem for free, they won t upgrade. So free should feel useful, but slightly incomplete. Your general vs specific approach is already a very solid way to think about it Comment from Casper Echo(@pan_zo): Great question! As a builder of a personal safety app ( Lifeline: SOS Countdown App ), I struggled with this too. Here is the framework I used to decide

... tasks immediately, it helps teams structure the reasoning behind product decisions and connect feedback, strategy, and execution. We just launched on Product Hunt and would love to hear how other teams handle this today. Curious: how does your team decide what not to build? Post: https://www.producthunt.com/prod... ...

... app.neoagent.co and enter your website. You'll see a demo page with a chatbot that uses your website's public information. Tell it something and test it in less than 2 minutes. If you decide to register, after registration wait a few minutes and you will be on the Pro plan for 14 days, after that you can continue use neoagent.co for free with small limitation. PS. The chatbot's data isn't permanent; to actually use it on your ...

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace the referenced code easily. However, when I started using the Claude Code VS

... becomes more complicated and harder to use. And I m not even talking about the stage when the product is already established. At that point, there are more users, and their expectations start to differ. So how do you decide which features will, or won t, be implemented? The most common approaches I ve personally seen are: Whether the request comes from paying vs

... After four long years of grinding, building, fundraising, and hiring, we decided to pivot. I wanted to write down my thought process and timeline because I wish I d seen more honest pivot stories when we were stuck. Not just we pivoted and everything was instantly great but the real version where we kept trying to make the original idea work for way too long because we already put so much into it. I went through YC S20 (the first ...

... 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 ... ... they face in their day to day. Comment from Henrik Pedersen(@henrikpedersen): @busmark_w_nika  Exactly passive vs

... content, I didn t know what content to create , which niches were worth exploring , or how other channels were actually growing . Most tools I tried were either too advanced or focused only on surface-level metrics. So I decided to build something I genuinely needed for myself. Channel Profiler is a YouTube analytics tool and niche finder that focuses on trend discovery and channel-level analysis , especially for beginners. Instead of guessing ideas from scratch, it helps creators learn directly ...

... Most teams I speak to still rely on gut feel, internal reviews, or past benchmarks to decide whether a video is ready". But once it s live, the data tells a very different story drop-offs in the first few seconds, emotional disconnect, pacing issues. Curious how people here handle this pre-publish phase today. Gut instinct? Team feedback? Past performance data? Post-publish A/B tests only? Genuinely interested in learning what works (and what doesn ...

... study of mental models. I m incredibly proud to show you that with the power of AI, a psychology enthusiast can now build the high-stakes tools the world needs. The Problem Overthinking is a deadlock. We fail to decide not because we lack information, but because our internal voices (Logic, Fear, Desire) are shouting at once without a structured system to judge them. The Solution: The InnerDuel Audit InnerDuel is a rigorous decision-making engine. It doesn't just ... ... members Alpha (Logic), Dominic (Action), Augustus (Data), Lilith (Safety), and Serena (Harmony) each with distinct roles to tear apart your dilemma. The 3-Probe Rule: You have only 3 opportunities to cross-examine specific members. You must decide

... Product Hunt community! It's my first day on PH and after years of building in silent, I've decided to throw myself out here. I will be sharing every step of the journey on X. One question for the top-tier makers: You make this look easy, but I know it's not. Is there a specific "mental shift" that happens when you stop being a silent builder and start actually sharing ...

... produces exactly one outcome: ALLOW or BLOCK . It runs fully offline, forbids network access by design, and uses an auditable override model no silent ignores, no hidden exceptions, no mutable policies. --- ### Why It Matters Most security tools observe. DataWizual decides. Visibility without enforcement is theatre. Enforcement without determinism is risk. DataWizual delivers both locally, predictably, and under your control . > Built for engineers who ship to production > and want security that actually means stop . --- Website: [ https://datawizual.github.io/](h... ...

... paper, yet something makes us close the tab instantly. Sometimes it s pricing, sometimes messaging, sometimes the onboarding feels unclear. Often it s a gut feeling that s hard to explain. What s the most common reason you personally decide not to give a product a chance? Comment from Nika(@busmark_w_nika): For me, it usually starts with bad UX/UI. I like e.g. UX/UI of Coinbase. I hate Binance because of the bad user experience. Comment from Christopher Kilpatrick ... ... products really need to earn access step by step and let users try things without handing over their data upfront. Comment from Alex Cloudstar(@alexcloudstar): @npmitaart  That makes a lot of sense. Outcomes are the clearest filter. Effort vs

... like most of us know global users are there, but the timing of when to invest (product, messaging, distribution) is still pretty fuzzy at least for me. Would love to hear how you ve approached this, or why you decided not to (yet). Comment from CY(@lightfield): @ilia_ilinskii  +1 from experience. One of our apps started English-only but quickly took off in Brazil. Early Portuguese localization had an outsized impact better activation, retention, and much stronger word ...