We re working on something fun called KiwiiApp a mobile app that lets users scratch a digital card once a day at 8 PM to win rewards, deals, and surprises from real brands.
No spam, no clutter just one brand per day, one card, one moment of excitement. We re currently in demo mode and gathering feedback from early users.
I just launched a fun side project called DropSnap (https://dropsnap.link) it lets people anonymously send you photos (memes, throwbacks, fashion tips, roasts, confessions, you name it). I wanted something more visual and fun than all the anonymous text apps out there... so I built it!
No app needed to send. Just a link. Perfect for creators and IG/TikTok trends.
Example use cases: Someone drops a photo of you from a night you don t remember A secret admirer sends you style inspo Your friends roast your 2016 haircut Or someone sends a pic that says everything they couldn't Try it here: https://dropsnap.link Would love feedback! Also curious: What s the wildest thing someone could anonymously send you in a photo?
This is the Mesh of Growth team. After seeing so many founders (myself included) burn cash on ads while our own websites sat idle, I realized something was missing from the market.
There are plenty of SEO tools and social platforms, but there is zero infrastructure that lets founders mesh their domain authority. Tomorrow, we launch Mesh of Growth. It s a first-of-its-kind network that turns your website into an influencer.
The Win-Win Loop: You recommend peers you trust, and in return, your brand and backlink live on their domain permanently. Simultaneously, when others recommend you, your website gains immediate social proof and high-authority backlinks.
I just launched alive-analysis an open-source workflow kit that runs inside Claude Code and Cursor.
Problem: you ask AI to analyze something, get a good answer, then a month later nobody can explain why we concluded what we did. Chat is gone and the logic isn t reproducible.
You can already chat your ideas into tasks in Zyvia. Now you can type "design me a Twitter backend" and watch the full system architecture appear services, databases, caching layers, and all the arrows between them.
No whiteboarding. No template wrestling. Just describe what you're building and get a diagram you can actually show your team.
Key Features Natural language to system architecture (type "microblogging backend", get microservices diagram) Auto-detects fan-out vs fan-in patterns for timeline feeds Visualizes database sharding, caching layers, and real-time delivery One-click export to PNG/SVG or embed in your Zyvia docs Links directly to your tasks see the diagram, then break it into tickets
First Comment (Founder Story) I've spent 3 years drawing architecture diagrams in Figma, then redoing them when the PM didn't understand, then redoing them again when we pivoted.
Hey Friends and Product hunt, Over the past few months, I ve been grinding hard on a dream project Textmob a real-time social platform that blends chat, media, events, and stories into a clean, fast, and fun experience.
It s kind of like Twitter, but with real-time DMs, stories like Snapchat, events like Facebook, and a vibe that feels fresh & personal. Real-time messaging with Feed, search, groups, events, stories, and more Fully responsive + mobile optimized Weekly email digests, friends suggestions, trending content
Check it out here: https://textmob.glitch.me
This is just the start would love feedback, feature ideas, and good energy
GPT-5, Claude, Gemini. These models are insanely capable. But the interface is still a blank text box.
That's the equivalent of giving someone a $50M race car and saying "figure it out." The engine is world-class. The cockpit is broken.
I built Prime Prompt, a Chrome extension that sits inside ChatGPT and restructures your prompt before it hits the model. Not a template library. Not a prompt marketplace. It rewrites what you actually typed into something the model can work with properly.
Here's what currently happens when someone wants a better output from ChatGPT: They either burn tokens asking the model to "improve my prompt" within the same session, polluting the context window with meta-conversation. Or they open a second tab to craft the prompt separately, then copy-paste it back. Or worst of all, they scroll through dozens of old conversations trying to find that one prompt that worked perfectly three weeks ago.
