Louis Beaumont louis030195

ASSIGNMENT AND ASSUMPTION AGREEMENT

Date: _____________, 2026

Assignor: Mediar, Inc., a Delaware corporation Assignee: Mediar.ai, Inc., a Delaware corporation

BACKGROUND

ASSIGNMENT AND ASSUMPTION AGREEMENT

Date: _____________, 2026

Assignor: Mediar, Inc., a Delaware corporation Assignee: Mediar.ai, Inc., a Delaware corporation

BACKGROUND

Airbnb SF Area — March 22-23, 2026 (5 guests, under $500)

1. 🏖️ Pacifica Oceanside House — $281/night (BEST VALUE)

"Sleeps 16! Oceanside 5bd/2.5ba 15 min to SF"

👉 Book here

Location: Pacifica, CA — 5 min drive to Pacifica State Beach, 15 min to SF/SFO
Space: 5 bedrooms, 5 queen beds, 2.5 baths, 2 kitchens, backyard
Rating: ⭐ 4.83 (23 reviews) | Location: 4.9 | Check-in: 5.0

Hey all,

Louis here. Another intense 10 days. Here's what changed.

⚠️ Please update the app, it might be outdated ⚠️

Check out what's new 👇

Screenpipe — Ouafae Workspace

What is screenpipe?

Open source AI that records your screen & audio 24/7, runs locally on your computer. Two offerings:

Open source (free) — build from GitHub, no support, DIY
Paid product ($400 lifetime / $600 bundle) — pre-built app, code signed, automatic updates, priority support, 30-day money-back guarantee

Pro add-on ($35-39/mo): cloud transcription, built-in Claude AI, encrypted cloud archive, device sync

schedule	enabled
daily	true

Transcribe today's meetings from screenpipe audio recordings using Microsoft Azure Speech-to-Text, then upload the transcripts to a centralized location.

Task

Query screenpipe for all audio recordings from today (full workday: 8am to 6pm)

Query your Screenpipe data with local AI (LM Studio + PowerShell)

Use a local LLM to search everything you've seen, said, or heard — fully private, no cloud needed.

Prerequisites

Screenpipe running locally (http://localhost:3030/health should respond)
LM Studio running with a model loaded (e.g. qwen2.5-coder-14b)
Make sure your LM Studio model supports tool calling (qwen2.5, mistral-small, etc.)

Step 1: Send a question with the screenpipe tool

Extract Todos from Screenpipe Data

Query your local Screenpipe API for the last 48 hours (all modalities):

# All content (OCR + audio + UI events)
curl -s "http://localhost:3030/search?limit=500&start_time=$(date -v-48H -u +%Y-%m-%dT%H:%M:%SZ)"

# Or query specific modalities:
# OCR (screen text): &amp;content_type=ocr

When Single Strategy Wins

Domain	Why
Real-time video games (LoL, CS:GO, Dota)	Millisecond decisions, no time to debate
Poker	Incomplete information, hesitation = death
Early-stage startups (<$10M ARR)	Resource-constrained, must bet on one thing
Disruptive tech (new category)	No existing playbook, must invent
Turnarounds / crisis	Survival mode, speed > correctness
Sales (closing deals)	Momentum matters, confidence sells

	---
	schedule: "0 18 * * *"
	enabled: true
	title: Daily Summary
	description: "Comprehensive daily summary of your screen activity, delivered at 6pm"
	icon: "📋"
	---

	Analyze my screen and audio recordings from today. Query the screenpipe search API in 2-hour chunks across the workday (8am-6pm).