I am Valerii, building PlanEat AI with my wife Diana, our health advisor. We kept hitting the same wall at home: deciding what to cook took longer than cooking. Tabs of recipes, misjudged prep times, wasted groceries, and that Thursday night fatigue. We wanted calmer weeks, not another feed to scroll. What actually reduces decision fatigue for you on weekdays: rules, routines, or tools? One concrete tactic that survived real life, please. If you have a photo of a recent quick dinner, drop it below.
Two months ago, I'd never heard of Product Hunt. When I told people we were launching @AI Context Flow here, they told me to keep my expectations in check.
Fast forward to today: #1 Product of the Day and #1 Productivity Tool of the Week.
The journey was chaotic, humbling, and honestly surreal. If you'd told me this would happen, I wouldn't have believed you.
To everyone who upvoted, commented, and cheered us on: Thank you. Your support means everything and keeps us building. If you need any tips on how we pulled this off as complete first-timers, ask your specific questions below
Two months ago, I'd never heard of Product Hunt. When I told people we were launching @AI Context Flow here, they told me to keep my expectations in check.
Fast forward to today: #1 Product of the Day and #1 Productivity Tool of the Week.
The journey was chaotic, humbling, and honestly surreal. If you'd told me this would happen, I wouldn't have believed you.
To everyone who upvoted, commented, and cheered us on: Thank you. Your support means everything and keeps us building.
After my first Product Hunt launch, I noticed something. Most makers spend tons of time perfecting the product but very little on the visuals, and the content that actually tell its story.
It s often the difference between someone scrolling past or stopping to explore. Great product + weak visuals = skipped post Great visuals + weak story = skipped post Great visuals + great story = people click, explore, and engage
For a while now, we've been working on a project called CodeCup (https://www.codecup.cc/), and we re finally ready to share it with the community and get your honest feedback.
Our core mission is "Where Code Becomes an Asset." We wanted to create a space where developers can actually own their content and monetize their skills directly, all built on the speed of Solana.
Promptius GUI lets LLMs express ideas visually, not just verbally. It transforms natural-language prompts into structured, live interfaces instantly rendered via React.
What It Does: Instead of text or markdown, the model returns a UI schema describing layouts, inputs, charts, and components. Promptius GUI renders that schema using frameworks like Material UI, Chakra, or Ant Design.
Honestly, it feels surreal. You prep for weeks, obsess over every detail, and still end up wondering, Will anyone even notice? Then you hit launch... and suddenly your notifications are blowing up, people are trying it, and the love starts pouring in.
Our first-ever launch on Product Hunt, we were figuring out the algorithm, second-guessing the timing, and hoping we didn t mess something up. But seeing the response? Totally worth it.
So far, so happy! Loving how people are vibing with AI Context Flow, especially the way it lets you transport AI memory anywhere, to any chat agent. For portable AI context, even AI overviews are featuring it.
Now that GTA Radio is live, I'd love to hear your ideas for new features you'd like to see on the website. What would make your experience even better? Share your suggestions below!
Yesterday, @pamela_arienti mentioned that her Product Hunt launch ended up somewhere in the middle, and one of the main lessons for her is that the connections gained on the platform are much more important than the placement.
AI Context Flow was built for people who work with AI daily but struggle to keep up with scattered prompts, project notes, and endless tabs. It lets you manage everything in context buckets, so your workflow finally feels organized.
My journey in startups began 10 years ago, and I've launched 18 startups, most of which failed. Briefly on why they failed: 1. Contract Online my first startup in 2015, which was supposed to be an online service for remote signing of contracts for any transactions between individuals. A kind of analogue of a secure transaction. For this startup, I even managed to attract a business angel who invested $16,500.
Reason for failure: I had two lawyers on my team who discovered in the process that the legal framework at the time could not provide reliable grounds for protecting our users in remote transactions. The contracts would not have been considered legally signed. 2. Natural Products In 2015-2018, I became very passionate about healthy eating, but in the process, I discovered that products in all chain stores are full of chemicals, and stores with truly natural products are inaccessible to the majority. Hence, the idea emerged to create my own online platform where you could order natural products directly from farmers at affordable prices.
Reason for failure: For several years, I tried to launch this project, even trained as a baker of natural bread and tried to create my own farm, but in the process, I found that few people are willing to pay for truly natural products, even if these products were only 20-30% more expensive than market prices, and not 2-3 times more, as in premium stores. Hence, the market was so small that all my attempts were doomed.
I ve spent the last few years working closely with sales teams, and one thing never changes, we often start talking too soon.
A potential customer shares one small detail, and we immediately jump into explaining, pitching, or convincing. But the truth is: most people don t need more information, they just need to feel understood. When we slow down and listen really listen the conversation changes completely. They open up. They tell you what s actually holding them back. And suddenly, closing the deal isn t about persuasion anymore, it s about alignment.
Recent events made me think about how technology is shaping our relationships.
We re online more, we even use AI as a relationship advisor, and at the same time, it feels like it s harder for younger people to approach someone in real life.
