We built a beta AI editor where you don t touch the timeline.

You upload a video and type instructions like:

Add captions and make it Instagram ready.

We built Zapic, an AI social media assistant that helps you create content, schedule posts, and improve performance over time.

Now that people are using it, I m trying to understand something practical:

What actually breaks consistency today? Time, ideas, burnout, or managing too many platforms?

Hello PH community!

I m currently building a Chrome extension to solve a problem I face every day: Information Overload. Most AI tools give you a summary, but then you're stuck copy-pasting it into a document to save it or share it. I wanted to make that workflow seamless.

What I'm building:

• Instant Summaries: Uses Anthropic's AI to condense any long-form article or web page.

• One-Click Export: Save the summary immediately as a clean, formatted PDF or Word document.

• Context Aware: Designed to keep the most relevant data and insights.

Hey Product Hunt
I built LogicGapAI after watching agency BD reps spend 4 6 hours per prospect just to build a pitch. Crawl the site, format the findings, translate to business language, find the right contact, write the follow-up. By the time it was done, someone faster had already sent theirs.

LogicGapAI collapses that into ~60 seconds.

Paste any prospect URL and you get:

• Lighthouse performance scores (Performance, Accessibility, Best Practices, SEO)

• Gaps translated into revenue not rankings ("$221 $3,343/month recoverable in ~90 days")

• Auto-detected tech stack (CMS, analytics, marketing tools)

• Contact intelligence decision-maker emails with confidence scores, sourced via Hunter

• Ready-to-send email pitch, LinkedIn DM, and phone script generated from the audit

• A fully white-labeled PDF: your logo, your brand colors, your font, your company name throughout the client never sees LogicGapAI

Hello fellow hunters,
My name is Robert, and I have a passion for advancing AI and systems. The problem I found on my journey was that AI wasn't necessarily bad at giving responses in most cases, but rather it didn't have access to proper information. One solution was using web search API, but often times you are limited on content, have to parse messy HTML, and say a prayer that the content is relevant without any guarantee. My team and I decided enough was enough and designed Vybsly Search, an independent search engine with its own growing index. When you search you get the ACTUAL page content, no links or partial snippets, but the real text. We believe no one should have a monopoly on knowledge, especially when AI needs it most. Instead of stitching together Tavily and Exa and a weather API and then a crypto API etc etc, users can get everything in ONE call. We have spent years working on this type of project and appreciate anyone who tries it out. Best of luck to everyone perusing their dreams, as we will continue to build ours to help others achieve what was once not possible. Thanks :)

Today, I m opening our Nano Plan for free: Zero Config: Get WordPress running instantly without touching a database.

Every site gets a *.neytom.com subdomain and automated Full SSL.

Built on high-end hardware, optimized for a premium feel.

This is a beta launch and I m looking for honest feedback from this community to help me refine the experience. If you re a developer, a designer, or just someone with a fresh idea I d love for you to try it out!

We ve just shipped QuantDinger v3.0.1.

This release is all about making the product more useful in real trading workflows, from AI research and Python strategy generation to backtesting, tuning, and live execution.

For too long, learning distributed systems has meant staring at static diagrams and hoping the concepts eventually click. You can recite CAP theorem, explain eventual consistency, draw a microservices diagram from memory, and still freeze when something breaks in production.

I know that feeling well. My background is in Mechatronics Engineering and I currently work as a software engineer at Gymshark. Distributed systems was never formally taught to me. I learned it the hard way, and that gap between theory and intuition is what pushed me to build Cascode, alone, around my full time job.

It s a browser-based canvas where you assemble real AWS architectures, watch live message flows run through them, inject failures, and see what cascades.