Meku just crossed 10,000 registered users, it's a big milestone for us and hits different
The AI coding and dev tool space is loud and very competitive, but seeing so many people try Meku and actually stay shows we re building something that genuinely helps devs and teams ship faster and build better web apps
Massive love to the Meku team for grinding and polishing every day, and heartfelt thanks to our early users for trusting what we re creating
I m doing some research into the intersection of ancient wisdom and modern life, specifically focusing on Eastern Metaphysics (like BaZi/Four Pillars of Destiny, Feng Shui).
I'm hitting a wall trying to gain alpha users for a live app with a fairly specific use-case.
My fear of becoming "Spammy McSpamerson" has been so strong that I've paralyzed myself into doing nothing. I had been responding with useful advice here and there but I'm not sure when or how to bring up my solution.
I'd love tips from founders who've successfully used Reddit to naturally connect with people who genuinely need their product. How did you find the right communities, contribute meaningfully, and know when it was appropriate to share?
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
We're thrilled to introduce MeDo, a product set to fundamentally change how you build and launch software.
If you ve felt constrained by the limitations of traditional no-code tools, complex setups, and steep monthly fees, it s time to witness the next frontier in SaaS development.
There's a significant development coming out of China's AI scene that's worth our attention: Volcengine (ByteDance's cloud service) has officially launched its first dedicated coding Large Language Model, the Doubao-Seed-Code.
While the AI code generation space is crowded, this launch is specifically noteworthy for its aggressive positioning on both performance and, crucially, cost.
We built Dropstone because we were tired of starting from zero every time we opened an AI coding tool.
Dropstone learns, remembers, and evolves with your projects building a persistent understanding of your codebase, architecture, and workflow. It s designed to grow with you, not reset after every session.
We ve just launched it on Product Hunt and would love your thoughts on how memory should shape the next generation of developer tools. Your feedback will help us refine what s coming next.
This is Jane Zhang, operation manager from MeDo, , the no-code AI platform from Baidu company. I have been in operation & growth marketing for 10 years in both Bytedance and Baidu, mainly in 0-1 field, including early tiktok team, Pico etc. Now I am glad to be a part of this tremendous journey to exploring AGI.
Launching a product is wild- one minute you re pumped, next minute you hit a wall!
I m Deepak, founder of Product Launch OS. After helping 200+ founders and refining every part of our launch dashboard, I know every story is different.
What launch advice do you swear by?
Any major oops moments, lessons learned, or productivity hacks you recommend?
What communities, platforms, or tools gave you a real boost?
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.
When AI systems break, it s rarely with a crash or error log. It s a slow drift, outputs that seem fine, context that fades, retries that quietly multiply. Everything still runs, until one day it doesn t.
