Self-Promotion
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Page-level Analytic - see where readers engage and where they drop off.

Something we noticed with publishers, content teams, and marketers - there is a very common blind spot in how digital documents get measured.
Nobody really knows which pages held attention, which sections got skipped, or where most readers actually stopped. The production effort was real. The feedback loop was not.

We spent a lot of time sitting with that problem. The question was not "how do we add analytics" - it was "what would actually help an editor or content lead make a better decision before the next edition?"
What we landed on: page-level data has to be specific enough to act on. Knowing that your document had 400 views is not actionable. Knowing that 60% of readers dropped off at page 4, and that page 4 happens to be the densest text page in the document - that is something you can work with.
That thinking shaped how we built this into ZenFlip. The goal was not a dashboard full of numbers. It was a clear answer to the question: what should we do differently next time?

Kibun — Discover which habits are actually affecting your mood

Title Kibun Discover which habits are actually affecting your mood Tagline Track your mood, connect it with your habits, and uncover the patterns behind how you feel. Product Description Most mood trackers stop at logging emotions. Kibun is built to help you understand why your mood changes. Kibun combines mood tracking with habit tracking to reveal correlations between your daily behaviors and your emotional wellbeing. Over time, the app helps you identify which habits may be improving your mood and which ones might be draining your energy, focus, or motivation. Instead of just asking How do I feel today? , Kibun helps answer: What activities consistently improve my mood? Which routines are linked to stressful or low-energy days? How does sleep, exercise, work, social time, or screen time affect me over weeks? What you can do with Kibun -Log your mood in seconds -Track daily habits and routines -Visualize emotional patterns over time -Discover correlations between habits and mood -Build self-awareness with data-driven insights -Create healthier routines intentionally The goal is simple: Help people better understand themselves through behavioral and emotional patterns. Kibun is currently available on Android, with the iOS version pending App Store review from Apple (it s been over a week already if anyone here has survived long review delays recently, I d genuinely love to hear your experience). Would love feedback on: the concept, onboarding, insight features and what kinds of correlations you d personally want to track. https://kibun-app.com

VertoX update — getting very close to launch

Hey everyone

Quick update on VertoX.

We ve made a lot of progress on the backend and core systems. We re building our own open-source ASR NMT TTS pipeline and aiming for ~1 second real-time translation.

Right now, we support 17 output languages and 10 input languages, with plans to expand further.

Introducing Roomie

Roomie A social platform featuring public/private room channels ,DMs and live polls with plans to evolve into a powerful productivity tool for community hosts. For the moment I urgently need Android testers for a closed test to help get my app, Roomie approved on the Google Play Store. 1. Join the Google Group here: [https://groups.google.com/g/room... 2. Download the app on Android: [https://play.google.com/apps/tes
Nolan Vu

1d ago

We're launching AI Hive — enterprise AI agent platform built for regulated industries.

Hey Product Hunt community

I'm Nolan, and today we're officially introducing AI Hive to this community.

What we built: An enterprise AI agent platform that lets you build, deploy, and run AI agents entirely within your own infrastructure no data ever leaves your network.

Why we built it:

Sunil Kumar

1d ago

Run your first agentic sprint without burning down prod

Most engineering teams know they should be running agentic workflows. The demos look incredible. The speed is real.

But the first few production attempts often go sideways, not because the AI is bad, but because the governance layer wasn't there.

The AI Velocity Pod Starter Kit is everything we wish existed when we started: a framework distilled from 300+ shipped products, 38-day average delivery cycles, and a lot of painful lessons about what breaks when you give agents too much autonomy too fast.

What's included:
Sprint structure template (intent build QA diff review)
Acceptance criteria writing guide (the #1 bottleneck in agentic workflows)
Parallel QA agent setup run validation concurrently, not sequentially
Governance checklist for regulated industries (HIPAA, GDPR, OWASP-aligned)
Access scope matrix which systems agents should (and shouldn't) touch

Just launched LittleLog — a tiny journaling app for daily thoughts

Hey everyone

I recently launched LittleLog, a minimalist app designed for quick daily journaling and mood logging.

Instead of writing long diary entries, the app focuses on capturing small moments, thoughts, and reflections in seconds.

Features include:

AI makes products easier to build. Does that make distribution the real moat now?

AI has made building products dramatically easier.

A solo founder can now create a landing page, prototype an app, generate designs, write code, and launch faster than ever before.

That is exciting.
But it also changes the game.

Elisa Murph

10d ago

Can AI Make Budgeting Easier?

Built FinFlow to Make Budgeting Less Stressful

Chris

10d ago

Got an online store? Read this

Hey Product Hunt

I built Storecheckr after watching a pattern repeat itself too many times: store owners spending $500/month on Facebook ads for a store that converts at 0.8%.

The ads weren't the problem. The store was.

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