Y Combinator · Launch Video Breakdown: Hook, Pacing & Motion Design

Scene-by-scene timeline & spoken transcript

1. 0:00 – 0:18

   Problem Agitation

   The Data Deluge Dilemma

   “Companies today are sitting on tons of data, but it's scattered across many different tools. It's siloed, fragmented, disconnected, buried, and not actionable. Teams operate in the dark, and profit margins are slipping.”

   On screen

   To run their business many different tools They are sitting on tons of data Scattered Siloed But it's Not actionable Fragmented Disconnected Buried Teams operate in the dark Profit Margin TARGET MARGIN ACTUAL MARGIN 14.5% 12.9% CRITICAL DROP are slipping

   Camera

   Close-up on a developer's face with code reflected in glasses, then wide shots of multiple scattered UI elements, followed by a close-up on a profit margin dashboard.

   Motion

   Text overlays animate in with a typewriter effect, UI elements float and scatter, and a red line animates downwards on a graph to emphasize a critical drop.

2. 0:18 – 0:35

   Product Reveal

   Netter: Centralize and Analyze

   “Netter helps companies regain control over their data. Centralize all your data sources, clean and enrich your data, and deploy winning systems.”

   On screen

   N netter Centralize Salesforce CRM Netfactu Billing CSV Ready to use Your data is clean, enriched, and ready for analysis. 128.4M rows processed XGBoost Gradient Boosting LightGBM Gradient Boosting LSTM Recurrent Neural Network Temporal Fusion Transformer Deep Learning Prophet Time Series Model ARIMA Statistical Model Winning systems SELECTED & DEPLOYED Temporal Fusion Transformer Best fit for your operations

   Camera

   Static shot on Netter logo, then a top-down view of a data flow diagram, followed by a close-up on a 'Ready to use' data card, and a diagram of ML models.

   Motion

   Clean, crisp UI elements animate into view, lines connect data sources to a 'Centralize' node, and a checkmark appears on a 'rows processed' card. ML models slide in and connect to a 'Winning systems' card.

3. 0:35 – 0:53

   Feature Teaser

   Automate and Secure with AI

   “Analytics to control, machine learning to predict, and automate your workflows. All powered by AI, end-to-end encrypted.”

   On screen

   Analytics to control Group Health TOTAL REVENUE AVG CAPACITY ACTIVE SITES €795.585 96.3% 6 Revenue by Site Nantes Marseille Lyon Paris Sud Bordeaux Capacity Utilization Average occupancy by site N Netter Cash Collection Process Active Last updated 1 day ago Automate cash collection by fetching, invoices and payments, classifying with AI, updating Netfactu, and notifying the right person. Overview Data Sources Models Deployments Workflows Monitoring Settings Trigger N New payment received Netfactu webhook Action Update invoice in Netfactu Reconcile payment and update status Action N Fetch invoice & customer data Query Netfactu API Action Send notification Email finance team Action AI classification Classify payment and match to invoice End Process completed Run Workflow Acme Inc. Production Jane Doe jane@acme.com Machine Learning to predict Sandbox python from transformers import AutoModelForTimeSeriesForecasting, AutoTokenizer import torch model_id = "netter/Netter-Occ-v1.0" model = AutoModelForTimeSeriesForecasting.from_pretrained(mod tokenizer = AutoTokenizer.from_pretrained(model_id) # Prepare input features inputs = tokenizer.prepare_time_series(features) h.no_grad(): outputs = model.generate(inputs, prediction_length = 24) = outputs.predictions ds[:5]) # Predicted occupancy for next 24 hours Occupancy Rate by Department ICU Cardiology Oncology General Medicine Pediatrics Model Information Model Name Netter-Occ-v1.0 Model Type Time Series Forecasting Framework PyTorch Hugging Face Pretrained Backbone Transformer Last Trained April 18, 2028 Next Retrain April 25, 2028 Model Performance Last Hr 4.2% 5.8% 0.1% 0.87 Predicted Occupancy Rate Over Time Actual Predicted 75% 50% 25% 0% May 20 May 21 May 22 May 23 May 24 May 25 May 26 May 27 7 Days $134.908 +12.5% vs last month CSV Automation completed 156 tasks processed successfully Success Automation running Webhooks triggered for 6 out of 12 items Auto Predicted Occupancy (Next 24h) 64.7% +3.1pp Model: Netter-Occ-v1.0 Patients 113.848 +4.2% vs last 7 days Tasks automated 139 This week +35% AI N End-to-end encrypted

   Camera

   Zooming into a dashboard, then a workflow diagram, followed by a code editor and ML prediction graphs, and finally a dynamic overview of various UI cards around the Netter logo.

   Motion

   UI elements animate in with subtle bounces and fades, lines connect nodes in a workflow, and data points on graphs animate to show trends. A shield icon with a padlock animates into view.

4. 0:53 – 1:00

   Call to Action

   Transform and Win

   “Transform your company with Netter. Win the AI race.”

   On screen

   Transform your company with N netter N netter Win the AI race. Book a demo netter.ai

   Camera

   Static shot on the Netter logo and tagline, then a final shot with call-to-action buttons.

   Motion

   Text animates in with a subtle scale and fade, followed by call-to-action buttons appearing with a soft pop effect.