HN Showcase
Back to browse
GitHub Repository

🔴 Record and browse video logs on your computer. 

3 starsTypeScript

Yap, capture your day-to-day with video logs

by felipap·Mar 19, 2026·3 points·0 comments
Visit ProjectView on HN

AI Analysis

●MidCozyShip It

Video-first journaling when Day One and Notion already handle this.

Strengths
  • •Local storage means your videos stay on your machine, not some cloud.
  • •Cross-platform builds for macOS, Windows, and Linux from day one.
  • •OpenAI transcription integration for searchable video content.
Weaknesses
  • •No clear differentiation from existing video note tools like Grain or Fathom.
  • •Requires your own OpenAI API key, adding cost and setup friction.
Category
Productivity
Target Audience

People who prefer video journaling over writing

Similar To

Day One · Grain · Fathom

Post Description

Hi HN!

Yap is a desktop app for your video logs. Open the app, press record and speak your mind. Once you’re done, Yap catalogues your video and makes it easy to find.

Download at https://github.com/felipap/yap

I built Yap as an alternative to journaling. I love journaling but it takes too long to write everything I want to say. A couple years ago, I started recording myself talking to the camera. I was using Photo Booth, then QuickTime, but the experience wasn’t great. I wanted an app purpose-built for video logs; so I built Yap.

Sharing with AI. Yap transcribes and summarizes your vlogs for you (OpenAI key needed). You can then take the transcripts and share them with friends or AIs. I use this to give AIs context about the projects I’m working on, or problems I’m dealing with.

Hope Yap can be useful to you too!

Similar Projects

Developer Tools●●Solid

LLM Gateway for OpenAI/Anthropic Written in Golang

Runs as a single binary with embedded SQLite and zero-config start, acting as a transparent, provider-agnostic proxy that logs model, tokens, latency, cost and API key hashes while leaving full body capture opt-in. It also proxies streaming responses in real time and exposes stable JSON analytics endpoints — a practical, instrumentable way to get reproducible, audit-ready traces for real LLM traffic, though long-term value depends on how it handles provider edge-cases and SDK compatibility.

Solve My ProblemNiche GemSlick
oatmale
423mo ago