Yash Salvi

Covering the full pipeline from script to final render is a big deal, especially for people who want to post consistently. In early testing, what mattered most to users, the speed of generating videos or how much creative control they still had over the output?

A lot of creators struggle with consistency more than ideas. In early usage, what helped creators grow the most, the viral inspiration + rewrites or the engagement/analytics side that tells them what to double down on?

“Lovable for .docx” is a great way to describe it. In early usage, what did people find most valuable, editing with track changes or transforming/restructuring long documents quickly?

The “never a real fit” insight is so true. Most people waste time applying blindly. In early usage, what helped users the most, the role ranking/match score or the resume + cover letter tailoring?

A marketplace for AI prompts and workflows is interesting, especially since people keep reinventing the same setups. In early usage, what did buyers care about most, proven results, niche workflows, or trust/quality signals before purchasing?

I like the idea of “where to begin” instead of endless headlines. In early usage, what helped users most, the relevance filtering or the added context and perspective around each topic?

This is a really nice idea, especially since staying connected takes effort even with close friends. In early testing, what kept people coming back more, the daily randomness or the feeling of having a shared ritual?

Tool sprawl and DevOps overhead slow down a lot of good ideas. In early usage, what helped builders most, deploying quickly without setup or having everything organized in one workspace?

Hiring tools promise speed, but trust and fit usually matter just as much. In early usage, what helped teams feel confident moving faster, clearer role definition or the way candidates were matched?

Replacing Dropbox and WeTransfer for music makes a lot of sense. What surprised you most about how producers and engineers actually used Echoe once they tried it?

Automating this without spreadsheets is such a relief. In early usage, what gave people the most confidence, the background tracking or reconstructing past trips from photo metadata?

A lot of analytics tools show numbers but not clarity. What surprised you most about how teams used DataFast once they connected it?

Finding the right people is often harder than building the thing itself. In early testing, what helped users connect more effectively, the AI keyword matching or the way profiles and intent were set up?

I like the focus on capturing small wins without pressure. In early usage, what helped people stick with it more, the quick voice capture or seeing their progress reflected back over time?

Making nutrition social is interesting, especially since tracking alone can feel isolating. In early testing, what helped people stay consistent the most, the squad accountability, challenges, or just tracking together with friends?

This feels very different from typical social apps. What surprised you most about how people used the trees once they started collaborating?

Bringing docs, tasks, and chat together can remove a lot of context switching. In early testing, what part helped teams the most, the unified feed, working alongside AI agents, or just having everything in one place?

I like the focus on simplicity and transparency here. When you tested it early, what made people feel most comfortable switching or importing their playlists instead of just staying where they were?

Bringing tests, PYQs, and tracking together makes a lot of sense. What surprised you most about how aspirants actually used the platform early on?

I like the game-like approach to something that usually feels intimidating. What surprised you most about how learners engaged with it early on?