Shalin Shah

Shalin Shah

HyperHyper
Hyper
Claude Code was our secret weapon for shipping Hyper in two weeks. With just the two of us building an iOS app, a real-time AI agent, with a hard deadline couldn't have been possible writing code manually. It handled everything from scaffolding our Swift architecture to debugging gnarly audio issues on launch day. We tried Cursor and Copilot but Claude Code's interface simplicity and overall quality with Opus 4.6 was hard to beat. We used Github's interface for viewing diffs.

Alternatives Considered

Hyper
We went from zero to a shipped iOS app in under two weeks and Supabase was a huge part of that. Database, real-time, storage — all just worked without us thinking about infra. We considered Firebase (which we use for phone auth) and just running our own Postgres, but Supabase's Postgres foundation gave us way more flexibility for querying across conversation data, and the auto-generated REST API meant we barely wrote any backend code. For a two-person team on a hard deadline, it was the difference between shipping on time and not shipping at all. Alternatives we considered: Firebase (we actually use it for phone auth, but Supabase's Postgres foundation gave us way more flexibility for complex queries across conversation data), and just running our own Postgres on Railway. Tip: If you're a small team on a tight deadline, don't underestimate how much time Supabase's auto-generated REST API saves you. We barely wrote any backend code.

Alternatives Considered

1 view
Hyper
used exa.ai to build Hyper
We use Exa to give Hyper's AI agent the ability to search the web mid-conversation. When a user asks something beyond their own meeting history, Exa handles the retrieval. We looked at Tavily and Brave Search API but Exa's results felt more semantically relevant out of the box, which matters when an agent is trying to answer a nuanced question in real time. Google Search API was too expensive for us. It felt dead simple to integrate too.

Alternatives Considered