Bangalore Packers and Movers

With tools like Claude Code, we re entering a world where products can be built end-to-end inside AI workflows.

But there s a problem I ve been thinking about: As building gets faster, user research risks getting left behind.

At Velozity, we ve been working on solving this by launching an MCP server that brings user research directly into these environments.

Now inside your coding workflow, you can:

At the beginning of the year, 2 co-founders reached out to me because they wanted to scale their personal LinkedIn profiles. The reason: In a few months, they re planning to raise funding and believe their personal brand could help.

A few days ago, another founder contacted me with a similar intention, although he s not planning to raise funding. For him, LinkedIn has become the platform that generates the most leads. He doesn t particularly enjoy the network itself, but he still wants to keep building it.

After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.

We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.