Stackbirds
Observation Over Prompting

Replaces Prompting
With Observation

Self-trained AI agents that learn from your workflows, not from your instructions

Goal: 1M Self-Trained Agents

Why This Matters

Old Approach

  • •Humans write detailed prompts
  • •Complex instructions & rules
  • •AI stuck in "MS-DOS era"
  • •Unreliable results

Stackbirds Way

  • ✓Agents learn from behavior
  • ✓Watch workflows, ask questions
  • ✓"Windows for agents" interface
  • ✓Reliable, self-trained execution

How It Works

1

User Works

You simply perform your tasks normally

2

Agent Watches

Observes workflows across all your apps

3

Agent Learns

Asks clarifying questions when needed

4

Agent Executes

Converts learning into structured instructions

The Market Opportunity

50%+

of online work is still manual coordination

Copying data, updating systems, filing forms

$1-1.2T

annual labor cost in manual clicks

Stackbirds automates this "glue work"

Manual Work
Automated

Our Traction

$500K

ARR Pipeline

Built in just a few weeks

1st Cohort

Customer Onboarding

Starting now

1M Goal

Self-Trained Agents

Our vision

Growth Trajectory

0150300450600

The Right Team

Giselli Panontini

Co-founder & CTO

Led Microsoft Core Copilot. 10+ years in LLMs & deep learning systems. One of Microsoft's youngest VPs ever.

Zainab Ghadiyali

Co-founder & CEO

Meta Ads Growth founding engineer. Led Airbnb re-architecture. Built another company to 7-figure ARR in 8 months.

Raising Capital

$100,000

Total Raise Target

$65,000

Already Raised

From Family & Friends

$35,000

Remaining

$10,000

Angel Investor Ask

SAFE allocation for strategic angels

Early access to platform
Equity upside potential
Direct founder access
Funding Progress65%
$0$50K$100K