Self-Promotion
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1d ago

One workspace. Every tool you were juggling, Gone. Meet Unified Orbis

Email for one thing. Chat for another. Docs somewhere else. Tasks in a different app. A CRM you barely check. a dashboard for the numbers nobody looks at until month-end.

You are not working anymore, you are doing tab archaeology, digging through six apps to find the one message that had the answer.

We got tired of it too. So we built Unified Orbis, one workspace where chat, tasks, epics, sprints, kanban boards, docs and calendar actually live together instead of sitting in separate silos pretending to be a stack. Orbis ai sits underneath all of it, seeing the whole picture instead of just whatever app happens to be open.

1d ago

Retrieve: Flash Cards Done Right

Hey Product Hunt!

I m Scott, the solo iOS developer behind Retrieve.

2mo ago

I built an AI travel companion solo, while working full-time — launching tomorrow 🌍

Hey PH community

Tomorrow I'm launching Triply.now and I wanted to share the story behind it before the big day.

I'm Raquel, a self-taught solo developer based in the Netherlands. I built Triply entirely alone Flutter, Python/Flask, Claude AI, Supabase, Stripe, Vercel, Render. No co-founder, no funding, no team.

The idea came from my friends and my own travel fails. A friend showed up to a temple in Morocco in the wrong outfit. Another one didn't know tipping in Japan is considered rude. I had the wrong adapter in Switzerland and I once brought my hair dryer to Boston and couldn't use it European voltage, American outlets. Triply would have told me that before I packed. These aren't rare every traveler has been there.

1d ago

How do you decide if a YouTube idea is worth making?

One thing I kept running into while building UploadPack was how much effort creators can invest before they know whether an idea has much evidence behind it.

Research, competitors, positioning, titles, thumbnails it can easily become hours of work before production even starts.

1d ago

How I automated machine-readable files (JSON-LD & MCP) for site owners for AI compensation

How I automated machine-readable files (JSON-LD & MCP) for site owners for AI compensation

Like a lot of independent publishers, I ve spent years building content sites, only to watch AI crawlers harvest everything completely unchecked while the legal landscape for data licensing remains a total mess.

I realized that the biggest hurdle for normal site owners isn't just wanting fair compensation; it's the technical friction. Major AI labs and applications look for machine-readable discovery files, RSL policies, and structured registry feeds to know if a site is legitimate. But most independent WordPress publishers don't have the time or coding background to manually manage JSON-LD schemas or Model Context Protocol (MCP) endpoints.

I tested whether ChatGPT/Claude/Perplexity/Gemini recommend my own app.

Got zero mentions across all four.

Spent the last few days building what's basically the standard GEO playbook now, llms.txt, markdown mirrors of every page, honest comparison content against competitors, the works.

Then actually ran the test instead of assuming it worked: asked all four models "what's the best calorie tracking app" a handful of different ways. My app came up exactly zero times. Not even cited as a

source. Same five competitor names every single time, regardless of engine.

How do you verify remote or field employees are actually working when you can't see them?

I've been building a workforce/attendance tool for the past few months, and the more I talk to other founders and operators, the more I realize this is a genuinely unsolved problem for a lot of small teams.

The core tension: too much oversight (screenshots, constant check-ins) makes good people feel like suspects and quit. Too little oversight means you find out something's wrong months later, usually during a payroll or client audit.

I ended up building something (Trackly) to sit in the middle, GPS-verified check-ins visible to both employee and manager, no hidden tracking. But I'm genuinely unsure if this is the right model, or if there's a better approach other builders here have found.

A few real questions I'd love this community's take on:

2d ago

Your body writes 24/7. Healthcare reads one page a year. We’re fixing that.

Now: Kayva is live on iOS + Android. Talk to Kessa  she reads your watch, tells you why you feel off, cites the science, and gives you one thing to try tomorrow. Not a score. Not vibes. Citations.

Next: Your health becomes a continuous story  quiet when you re fine, nudges when you drift, a GP-ready brief when you choose to share it. One companion from daily life family care.

2d ago

Easy

To reduce unused seats, duplicate tools doing the same job under different names, subscriptions nobody remembers signing up for. I built SaaS Auditor to catch exactly that. Import your spend data (and usage data, if you have it), and it: Flags duplicate tools by actual function, not loose category labels (Slack and Zoom don't get falsely flagged just because they're both "Communication") Shows which licenses are over-provisioned relative to real usage Surfaces upcoming renewals before they auto-charge, with snooze/acknowledge so nothing gets lost Recommends what to keep, cancel, or review with reasoning, not just a flag Lets you review and fix any guessed column mappings before the audit runs, so you're never trusting a black box Exports a clean report (CSV/PDF) you can actually hand to leadership It's a one-time purchase, not a subscription felt important for a tool built to point out subscription waste. Would love your feedback! What else should it be catching?

2d ago

Your completed tasks become a book of progress — A little twist on ToDoLists

I m building a to-do app with a twist: completed tasks are never deleted.

Instead, they stay on the page as a record of your effort and growth.

Think of it as writing a book every tasks completed is one section you wrote.

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