Theta.
AI-native venture team

Your venture
team for hire.

Mercenaries with kill discipline.

Theta is a turnkey AI-native venture team. Funds and operators hire us to ship product in days and burn real ad dollars against it. The portfolio below is our own proof. Yours runs on the same machine.

The Thesis

The bottleneck moved.
We moved with it.

Engineering used to be the wall. Now it's distribution. We ship working product in days and spend the rest of the budget where it actually matters - paid channels, real users, real unit economics. We've operated this on our own bets. We now operate it for funds and operators who'd rather rent the discipline than build it.

theta@operational:~ — thesis.sh
LIVE
./compare --legacy --ai-native
01
Build cost
$50K - $200K
$500 - $2K
02
Paid distribution
post-launch afterthought
$5K - $10K per bet
03
Time to product
3 - 12 mo
3 - 14 days
04
Time to market signal
6 - 18 mo
2 - 4 weeks
05
Team per bet
5 - 15
1 - 3
06
Failure cost
your next 18 months
$8K bounded
./result --summary
10-15X MORE SHOTS ON GOAL
↓ build cheap, spend on distribution
$8K BOUNDED LOSS PER BET
The Math

$100K of your capital.
Two strategies. One survives.

A founder burns $100K on a single unproven idea, team, and 12 months. Through Theta, the same $100K becomes 10-15 funded experiments: ~$1K to build, $5-10K to buy real traffic, 3 weeks to a kill decision. Same money. Different number of shots on goal.

Traditional · one big bet
$100K builds one MVP. Marketing money runs out before launch.
1
Shot on goal
Funded experiments1
Time to real signal9-18 mo
Runway if it dies$0 left
Kill disciplineSunk-cost drift
AI-native · portfolio of bets
Same $100K. 10-15 funded experiments with real ad spend.
12
Shots on goal
Funded experiments10-15
Time to real signal2-4 wk / bet
Runway if one dies$88K left
Kill disciplineBy day 21, always

Build is cheap. Distribution is the test. Per bet we deploy ~$1K build + $5-10K paid traffic. At 12 funded shots on goal vs 1, the question stops being "will this work" and becomes "which one do we double down on". Shots beat lottery tickets.

The Process

One bet. Three weeks.
Then the kill call.

Agents build the product. We deploy $5-10K in paid channels. Every bet ends with a hard kill-or-double decision on day 21, backed by CAC, retention, and payback numbers. No sunk cost, no extensions, no "let's just give it another month".

Build
Agents write production code. Humans architect.
1-3 days
Spend
$5-10K across paid channels. Real buyers, real CPCs.
7-14 days
Measure
CAC, retention, payback. Hard numbers, not vibes.
7-14 days
Decide
Kill if CAC:LTV < 1:3 by day 21. Double if payback < 6mo.
Day 21
Reinvest
Reserves only to the top quartile. Next bet starts same week.
Continuous
Portfolio · our own bets

Six shipped. One killed in public.
Average cycle: 18 days.

These are the bets we ran on ourselves to calibrate the machine before selling it. Each one went from idea to live users through the same pipeline a client would buy. We report all of it, including the kill memos.

Scaling

OpenClaw AI

Autonomous agent platform for Telegram. Multi-agent orchestration, personality engines, community engagement at scale.

TelegramAgentsSaaS
7dbuild$9Kdeployed
Scaling

Outreach Engine

AI-powered community engagement. Scans 600+ Telegram entities, generates contextual comments, manages outreach pipelines.

GrowthAutomation
5dbuild$7Kdeployed
Live

CEO Approval Bot

Content approval workflow for distributed teams. Telegram-native, async approval flows, automated distribution on approval.

WorkflowOps
3dbuild$5Kdeployed
Beta

Epsilon Management

Infrastructure management dashboard. Real-time monitoring, automated deployments, multi-service orchestration panel.

DevOpsSRE
10dbuild$8Kdeployed
Live

Tetraxon Landing

High-performance agency landing page. Optimized from 600KB to 41KB. Zero external dependencies, custom systems.

WebPerformance
2dbuild$6Kdeployed
Killed

Claude Telegram Bridge

Secure Claude Code interface via Telegram. CAC never beat $140 across three channels. Killed on day 19. Code archived, lessons logged.

DevToolsPost-mortem
4dbuild$7Kburned
01 / 02
0
Products shipped
End to end by agents, reviewed by humans, pushed to real users
0–14 days
Build to live
From first sketch to product in production, ready for paid traffic
$0–12K
Capital per bet
~$1K build + $5-10K paid distribution to buy real market signal
0d
Kill or double-down
CAC:LTV below 1:3 after spend = killed. No sunk-cost drift
Pipeline

Pre-scoped bets.
Pick one. Ship it.

These are hypotheses we've already scoped: signal, build path, paid channels, kill criterion. Bring your own thesis or sponsor one of these. Either way the day-21 decision is wired before we spend a dollar.

// 01
Research
AI Sales Copilot for SMB
Cold outreach + CRM automation for 1-20 person teams. Signal-based sequencing, agent-written personalization, tied to booked meetings.
CAC target <$180$8K bet
// 02
Idea
Compliance Doc Generator
Auto-generate GDPR/SOC2 docs from codebase scans. Continuous compliance without the $40K auditor retainer.
Payback <6 mo$6K bet
// 03
Prototype
Micro-SaaS Marketplace
Marketplace for AI-built niche tools with revenue share. Discovery layer for the agent economy.
Take rate 8-12%$12K bet
// 04
Research
AI Content Studio
End-to-end social content pipeline with AI hosts. Brief to posted in under 10 minutes. Tied to engaged follower growth.
CPM <$3 target$9K bet
// OPERATING PRINCIPLES

How we actually operate.

Non-negotiable · 2026
// 01We don't
Start a bet without a kill criterion.
Every engagement opens with the day-21 question already written: CAC:LTV target, payback ceiling, and what number kills it. No conviction-driven extensions.
// 02We don't
Build for six months without users.
Anything that can't be in front of paying traffic in 14 days is not an experiment. It's a wish.
// 03We do
Treat distribution as the test.
Build is $1K of the budget. The other $5-10K buys real buyers on Meta, Google, X, and niche communities. That's where the truth lives.
// 04We do
Kill with a timer, not a mood.
Every bet has a day 21 kill call wired before day 1. If CAC:LTV is under 1:3 on the numbers, it ends. No extensions, no second wind, no "founder conviction".
// 05We don't
Call a waitlist a "validation".
Email signups are not signal. The only validation we accept is someone spending real money after seeing a real ad. Everything else is theater.
// 06We do
Publish every kill memo.
Three bets killed so far. Each with a public post-mortem: what we spent, what we measured, and what we missed. Institutional honesty is a moat.
Architecture

Agents write code.
Humans hold the keys.

Multi-agent pipeline with adversarial review. Sandboxed execution. No AI touches credentials, infrastructure, or deploy.

HUMANarchitect VAULTcredentials / infra Agent-1code_gen Agent-2review_bot Agent-3qa_scanner SANDBOXED ENVIRONMENT automated security scanning // CI/CD pipeline // isolated execution PRODUCTIONshipped & validated
01

Agents iterate on code in sandboxed environments with zero access to production

02

Every PR goes through multi-agent adversarial review before merge

03

Humans own architecture decisions, infra access, and deployment keys

04

No AI touches production credentials, databases, or critical systems

05

Continuous integration with automated security scanning on every commit

// ACTORS IN THE SYSTEM
Humans set direction. Agents execute.
HUMAN
Founders
strategy + architecture
Product vision, market analysis, architecture decisions, investor relations, go-to-market.
AGENT
Builder agents
code + iterate
Production code, tests, bug fixes, deploys. Available 24/7, no burnout, consistent quality.
AGENT
Review agents
security + quality
Code review, security scanning, performance analysis. Every line reviewed by multiple agents.
AGENT
Outreach agents
growth + distribution
Community engagement, content generation, lead qualification, market signal monitoring.
opencode - building in production
Powered by OpenCode — opencode.ai
Engagement models

Two ways to hire the team.

We work for venture funds, solo operators, and studios with more ideas than builders. Pick the engagement that fits the bet.

// MODEL A
Hypothesis sprint
Project-based

You have an idea. We ship it, spend real ad dollars on it, and hand you a kill-or-double memo in three weeks. Fixed scope, bounded loss, institutional rigor.

Duration
21 days
All-in cost
$15-25K
Of which build + ads
$6-12K
Of which Theta fee
$9-13K
  • Build, launch, paid distribution across 2-3 channels
  • Daily CAC / retention / payback reporting
  • Day 21 kill call with a written post-mortem either way
  • Code and accounts handed over if you want to continue
For funds testing a thesisStart a sprint →
// MODEL B
Embedded team
Full-time

We join your portfolio company as the cofounding AI-native build team. Monthly retainer plus small equity, like a real startup - except we've already killed more products than most teams have shipped.

Commitment
3-12 mo
Retainer
$18K/mo
Equity
2-6%
Role
Cofounding crew
  • Full build, launch, and growth ownership from day one
  • Weekly hypothesis sprints inside the company
  • Board-level visibility into unit economics and kill calls
  • Clean exit protocol if the company outgrows our model
For operators with a thesisStart the conversation →

Capacity & queue

Two humans plus an agent fleet. We're disciplined about throughput because we'd rather decline a slot than blow a kill timer.

2 SLOTS OPEN
Concurrent sprints
2max 3
Each Model A sprint owned by one human end-to-end
Throughput / quarter
10-12
Hypothesis sprints from kickoff to kill memo
Embedded slots
2max
Each one halves Model A capacity for the same quarter
Queue policy
6wk cap
If we can't start within 6 weeks, we tell you - no fake waitlist
Model A · sprint slots
2 of 3 open · next start: ~2 weeks
Model B · embedded
1 of 2 open · intake call this week
When we're full, we say so on this page. Updated weekly. Last sync: this week.
Market Timing

Kill discipline
is the moat.

Everyone gets the same agents and the same ad platforms. What most founders cannot do is kill their own baby on day 21 with the numbers in front of them. We already killed three. That's the edge.

2024

AI proved it can ship

Claude and GPT-4 wrote production code. Most ignored it. A few teams started building differently.

2025

Studios emerged

Agent frameworks matured. First teams shipped products at 100x speed. We shipped six. This is where we are.

2026

The advantage compounds

Tools commoditize. Process knowledge doesn't. By the time the cohort catches up, we'll have 15+ validated kill memos and a real survivor curve.

Further reading

Don't take our word for it.

Perspectives from operators, analysts, and the infrastructure we build on.

Let's talk

Got an idea?
We'll ship and test it.

30-minute call. Tell us the thesis. We come back with a scope, a budget, and a day-21 kill criterion. Or we embed as your cofounding team. Either way, no pitch theater.

Or write to hello@theta-operational.org with your thesis. We reply with a scope and a kill criterion.