Launched this week
Hyper
Perfect memory for every real-world conversation
94 followers
Perfect memory for every real-world conversation
94 followers
Nearly all existing meeting tools start and end with documents. We think that's the wrong answer. You don't want enhanced notes, you just want to ask "what did we decide about pricing?" 3 weeks later and just get the answer directly. Hyper is an iOS voice AI for IRL conversations (1:1s, coffee chats, walks). One tap record, ask it anything mid-conversations with "hey hyper", or after to find answers across everything you've ever recorded. Perfect memory without files or folders or organization.
Products used by Hyper
Explore the tech stack and tools that power Hyper. See what products Hyper uses for development, design, marketing, analytics, and more.
Engineering & Development 2
Engineering & Development 2
Claude CodeAnthropic’s deep-context AI coder
5.0 (257 reviews)
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.
SupabaseThe open source Firebase alternative
5.0 (693 reviews)
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.
General 1
General 1
exa.aiSearch API for AI applications
5.0 (5 reviews)
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.