I m Samriddhi, DevRel, and someone who firmly believes snacks make everything better (including debugging).

I finally joined PH because this feels like the right place to share ideas, learn from what everyone is building, and occasionally drop an opinion nobody asked for but everyone secretly relates to.

If you're into AI, dev tools, or just enjoy watching the tech world reinvent itself every two weeks, we re going to get along.

Let's make a thread where you guys can share the apps you're making and support each other!

Given all the AI tools out there today, what is one challenge with data that still remains unsolved? why do you think it hasn't/can't be solved easily.

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.

AI dev tools are evolving crazy fast , every few weeks there s a new must-try for vibe coders.

Some people are building full products with @ChatGPT by OpenAI and @Replit , others swear by @Cursor and @Claude by Anthropic , and a few are mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time.

I ve been refining my own vibe stack lately, trying to find that sweet spot between speed, control, and creativity.
It made me wonder ,what does your setup look like right now?

The @v0 by Vercel team recently dug into industry trends to publish the first State of Vibe Coding report.

My key takeaways:

1. Everyone can build: 63% of vibe coding users are non-developers, generating UIs (44%), full-stack apps (20%), and personal software (11%).

2. Adoption is everywhere, with significant adoption rates in APAC (40.7%), Europe (18.1%), North America (13.9%), and LATAM (13.8%).

3. 92% of US developers use AI coding tools every day

4. 30% of new code at @Google is generated by AI

5. 25% of @Y Combinator startups rely on AI-generated code

6. Rapid expansion has a cost. Vibe coding apps keep hitting vulnerabilities: exposing secrets, access misconfigurations, hardcoded credentials.

7. The future: going mainstream or hitting its sweet spot in working MVPs, the vibe coding trend is here to stay, and it's happening now.