Ready
Clean main workspace with the app idle, camera/profile selected, and the product looking calm and ready.
StreamCoach
Because Great Streams Aren’t an Accident.
StreamCoach is a native macOS camera coach for creators who want to understand the shot before they go live. It uses AI to look at one real frame and turn the usual pre-stream guessing into a clearer next move.
The Problem
You can feel when the shot is off. The hard part is knowing why.
Before a stream, the camera can be almost right and still feel wrong. The face is a little dim. The color feels cool. The background is louder than the subject. You start changing settings, but every adjustment creates another question.
I built StreamCoach around that moment. Not to bury creators in scopes or camera jargon, but to make the image easier to read before the stream starts.
The Approach
The advice stays useful because it starts with the actual shot.
Instead of judging the stream in theory, the coach starts with the actual frame from your desk, then weighs the camera, lighting, profile, reference look, and controls that shape it.
- I’m building it first around the desk-level problems I kept running into myself.
- It translates image problems into plain-language notes about what to check next.
- The goal is not to make every stream cinematic. The goal is to make the image feel intentional.
- When the camera supports it, coaching can point back toward real setup and camera-control choices instead of staying abstract.
Product Tour
Get to know StreamCoach.
Workspace
Full app view showing the big preview, top toolbar, Analysis History, and Style Chat together.
Setup
Platform and camera selectors visible, showing how the user chooses their streaming app and camera source.
Profile
Camera profile or Hero Look workflow visible, focused on matching a real camera setup to a saved reference.
Look
Look Style selector open, showing creative style choices like Filmic Soft.
Preview
Look Preview turned on, showing the local non-destructive preview state.
Tools
Top toolbar focused on the monitoring tools: false color, waveform, RGB parade, vectorscope, histogram, all scopes.
Waveform
Waveform scope enabled over or beside the preview, clearly showing exposure monitoring.
Color
RGB parade, vectorscope, or histogram visible, focused on color balance and signal quality.
Exposure
False color enabled, showing how the app helps judge exposure visually.
Scopes
All scopes enabled together for the pro monitoring power-user view.
Live
Live Check button/status visible before running, showing local checking is available.
Check
Completed Live Check result with clear local feedback and practical status.
Analyze
Analyze Shot ready state with the button prominent and a good preview frame prepared.
Results
Analysis History populated with real AI feedback covering exposure, skin tone, lighting, color, and framing.
Moves
Close crop of the practical next actions or recommendations so visitors can read what the app actually tells them to do.
Chat
Style Chat empty or ready state, showing the user can ask creative and technical follow-up questions.
Follow-Up
Style Chat conversation with a useful answer, ideally about making the shot more cinematic or matching cameras.
Guide
StreamCoach Guide open with highlighted steps, showing built-in walkthrough/help.
Settings
Settings/help/export area showing deeper setup, voice options, device status, API setup, or export controls.
Current App
What is working now, and what is still being shaped.
This is the part of the page that will keep changing as the app matures: what feels solid today, what I’m still shaping from real use, and what needs more time at the desk.
Grounded Now
- Native Swift and SwiftUI macOS app.
- Live camera preview with a monitor-style layout.
- Camera profiles for different setups and angles.
- Reference image import for comparing against a trusted look.
- AI-assisted coach that turns one captured frame into practical setup notes.
- Lighting, framing, color, and exposure guidance from the shot and setup context.
- OBSBOT camera control for supported launch adjustments.
In progress
- Tightening the coach so advice feels shorter, clearer, and more useful at the desk.
- Saving analyzed still frames so setup changes can be compared over time.
- Giving the coach better context from camera profiles, calibration state, lighting, and studio notes.
Later Passes
- Refining reference matching so calibration feels practical, not delicate.
- Tuning scopes and false color against real test images before exposing more technical detail.
- Deepening lighting suggestions only when they make the next decision clearer.
- Exploring platform-specific guidance for Ecamm, OBS, and other creator workflows.
Supported Software & Hardware
Built around the tools creators already use.
These are the apps, services, cameras, and workflows StreamCoach is being shaped around.
Coming soon for macOS
StreamCoach
A calmer way to check the shot before the stream starts.
Send a feature request