Be honest, what's the most annoying part of booking a flight?
I'll go first: it's the 20 tabs. Google Flights in one, Skyscanner in another, a third just to check whether the 14th is cheaper than the 16th, and by the time I've compared everything, I've half lost the will to go.
Four years ago, I took my first international trip and completely fell in love with travel. Ever since, I've been a little obsessed with one question: why is finding and booking a trip still this much work?
So I've been building something where you just talk to it. You say where you want to go, and it finds the cheapest days to fly and books the flight, all in one conversation. Her name's Skye and we're launching on Product Hunt soon.
Before we do, I really want to hear from you:
Building Dialbotix: Would you let an AI call your leads?
One thing we've learned while building Dialbotix is that speed matters. Studies consistently show that leads contacted within minutes are significantly more likely to convert than those contacted hours later.
That's why we're building an AI voice agent that automatically calls inbound leads seconds after they submit a form, qualifies them, answers common questions, books meetings, and syncs everything back to the CRM.
But we're curious about something:
Looking for beta testers
Building WorkZo AI — Your AI Interview Coach
I've been working on WorkZo AI, a platform designed to help job seekers prepare for interviews with realistic AI-powered recruiter simulations.
Instead of practicing generic interview questions, users can upload their resume, add a target role or job description, and experience personalized interviews tailored to their background and career goals.
I built Protestr.club because apparently we haven't platformized enough things yet
After carefully studying the startup ecosystem for several minutes, I noticed a gap in the market.
You can hire:
Drivers
Designers
Developers
Dog walkers
Fake wedding guests
But if you suddenly need 37 people to stand outside a building and look mildly disappointed, you're on your own.
Cognir Research - Bridging the gap between curiosity and rigorous research
You know that moment. You've been reading for weeks. Your notes are a mess. Half-formed ideas, highlighted passages, questions that keep circling back. You know there's something there, but you can't articulate it cleanly enough to search for it.
So you open Google Scholar. Type something close. Get 2,000 results. Spend three hours filtering. Realize your search terms were wrong. Start over.
This is the hidden tax on research. Not the reading. Not the analysis. The orientation figuring out what you should even be looking at. It burns weeks.
We built Cognir because we got sick of paying that tax.
How could AI enhance real-life connections?
Hey Product Hunt fam!
I'm Jianbo, an internet veteran turned AI explorer. We believe AI should enhance human life, not replace it. That s why we built YNXO, an AI-powered social app designed to make online interactions more meaningful, efficient, and fun.
I built DataBridge — AI translation & cleaning for Airtable (free to try, no login)
Built a tool that connects to Airtable via PAT and lets you bulk-translate or clean data with DeepSeek AI. 3 free uses, no registration.
Built with Node.js + Express, deployed on Railway. Roast my MVP!
https://airtable-plugin-proto-pr...
A Rust-based Agent OS using JSON-LD as a unified IRI data bus with MMU-like memory projection
Most AI agent frameworks are slow and expensive because they constantly shuffle massive JSON payloads and duplicate data between components.
Gliding Horse changes the game. We built an open-source AI Agent Operating System that treats your agents' memory with the extreme efficiency of a computer's hardware. Instead of passing heavy text blobs, Gliding Horse uses a unified data bus to pass lightweight pointers, making your multi-agent systems faster, cheaper, and infinitely more scalable.
Why developers love Gliding Horse:
Smart Memory Management (The "MMU" Engine)
Inspired by CPU architecture, our system only loads the exact information your agent needs at any given moment. If data isn't active, it stays in deep storage until triggered just like a page fault. This slashes token costs and completely prevents context window overload.