Metadata-Version: 2.4
Name: superpitch
Version: 0.2.2
Summary: AI screening agent for investor inbound. Processes pitch emails locally, learns from every decision.
License: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: specialist
Requires-Dist: mlx-lm; extra == "specialist"
Dynamic: license-file

# Superpitch

[![PyPI](https://img.shields.io/pypi/v/superpitch)](https://pypi.org/project/superpitch/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

AI screening agent for your inbound pitch emails.

---

## Install

```bash
curl -LsSf https://superpitch.dev/install.sh | sh
```

Then run `superpitch`.

---

## Setup

1. **Sign in** — run `superpitch`, type `/signin`. You get a private address like `a7f3k2@superpitch.dev`.
2. **Forward pitches** — set a Gmail or Outlook rule to copy inbound pitch emails to that address.
3. **Set your thesis** — `/thesis`. A short description of what you invest in.

That's it. Open `superpitch` and your inbox is screened.

---

## How it works

A pitch email arrives at your private address. Within minutes:

1. **Noise filter** — the agent classifies the email instantly. Newsletters, sales emails, and non-pitches are discarded. Only real pitches continue.

2. **Deep research** — the agent reads the full email, any attached PDF deck, and searches the web for the company and founder. It pulls public data — LinkedIn, Crunchbase, press, product pages.

3. **Evidence packet** — everything is structured into a single packet: company overview, founder background, stage, sector, traction, raise details, business model, thesis fit assessment, research findings with sources, and sharp questions worth asking before a call.

4. **Triage** — each pitch is classified as ESCALATE, REVIEW, or PASS with a confidence score based on your thesis.

5. **Founder follow-up** — when a pitch is promising but incomplete, the agent emails the founder directly with targeted questions. The founder replies, the agent reads the answer, and the evidence packet updates. Up to two rounds — all before you've opened the app.

You open `superpitch` and everything is waiting, ranked and ready.

---

## What you see

```
  Superpitch  Logged in as you@email.com              2 min ago
  ──────────────────────────────────────────────────────────────

  Inbox
  ······························································
    DATE        COMPANY                  ACTION     CONF   STATUS
  ······························································

    2026-03-20  Mira Health              ESCALATE   91%       New
    2026-03-20  Stackwise                REVIEW     74%  Awaiting
    2026-03-19  LogiRoute                REVIEW     68%    Opened
    2026-03-18  Widget Co                PASS       31%       New

  ──────────────────────────────────────────────────────────────
  ↑↓ move  ·  ↵ open  ·  a/r/v decide  ·  / commands  ·  q quit
```

---

## Your data stays local

Your decisions, history, and screening preferences live on your machine. The agent learns from every approve, reject, and review — a local model retrains in the background after every 20 decisions, adapting to your judgment over time. No data leaves your device for training.

---

## One-off analysis

```bash
superpitch pitch.pdf
```

Drop a file and get the evidence packet printed directly. No email forwarding needed.

---

## Pricing

**$299/month** or **$249/month billed yearly**.

Everything included — AI screening, web research, PDF deck reading, automatic founder follow-up, personal pitch URL, and the terminal inbox.
