Most people post on X and hope the right person sees it. But when someone likes or retweets your tweet, they've already raised their hand and almost nobody follows up.
I've been experimenting with auto DMs triggered by tweet engagement: the moment someone likes, replies to, or retweets a specific tweet, they get a short DM. Not a pitch just a question that opens a conversation.
Launching Clipo AI on Product Hunt tomorrow, May 6.
The problem: creators record one great video, then spend hours cutting it into clips, posts, carousels, and thumbnails using 5-10 separate tools.
Clipo replaces all of them. One upload 20 pieces of content in minutes.
What's inside: 7 types of AI clip detection (keyword search, visual search, highlights, gap clips, and more) AI Carousel Generator with chat-based editing LinkedIn & Twitter Studios that write in YOUR voice YouTube Thumbnail Generator (up to 4K) AI Image suite Scheduling and analytics across 13 platforms Faceless Shorts (beta) Edit video like a Google Doc no timeline scrubbing
Have you ever felt like your paycheck just disappears by mid-month, even though you re not making big purchases? I ve been there, and it s frustrating.
I recently realized that the problem isn't usually the big bills it's the "Money Leaks." Those tiny, invisible expenses like forgotten subscriptions, daily convenience fees, or impulse $5 purchases that add up to hundreds of dollars every month.
When I finally tracked every cent for 30 days, I found out I was losing over $400 a month to things I didn't even care about! That s why I started building a system to find and plug these leaks.
Quick context: I'm a UX/UI designer who got tired of building beautiful products for markets that didn't exist. So our team built Bunzee an agent that stress-tests startup ideas against 200,000+ real data points and returns an actual viability score.
Here's what I want to do in this thread:
Drop your idea in the comments. One sentence.
I'll run it through Bunzee and reply with: Your reality score (0 100) The single biggest market risk the data surfaces Whether your TAM is real or "vision math"
We ve all been there: you need to shrink a PDF to fit an email attachment limit, but the document contains sensitive client data, financials, or private contracts. Uploading it to a random third-party server feels like a massive security risk.
Most "free" PDF tools either track your data, force you to create an account, or slap an ugly watermark on your file. We got tired of it, so we built FDM AI PDF Compressor.
Instead of uploading your files to our servers, we utilize our fdmGTP engine to compress your PDFs locally, right inside your browser.
Generative AI has fundamentally transformed how we work, but with dozens of platforms emerging monthly, choosing the right tool feels overwhelming. Rather than promote a single solution, I wanted to spark a genuine discussion about what actually matters when selecting a generative AI platform.
Over the past 18 months, I've tested most major platforms across different use cases: content creation, code generation, research synthesis, and creative work. What I've noticed is that the "best" platform isn't universal. It depends entirely on your specific needs, workflow preferences, and integration requirements.
The Core Categories
Most generative AI platforms fall into distinct buckets:
I ve been working on a small mobile arcade game called Infinity Dash: Jump Fly & Race.
It started as a simple endless runner experiment, but I kept improving the controls, gameplay speed, and obstacle mechanics to make it feel more fun and challenging over time.
