The Indie Operator Atlas — TAM, attack angle, distribution wedge and kill criteria for each
The Indie Economy, in 4 numbers
Tracked across IndieHackers, Stripe Atlas filings and 600+ founder interviews.
The 200 Niches
Each niche includes TAM, competition density, time-to-first-dollar, and AI-Disruption Risk Score.
The unit economics flipped. Solo operators now run $30k+ MRR businesses with zero engineers — and a single AI agent doing the work of a team.
The Indie Operator Arc · 2008 → 2026
WordPress and Shopify add-ons defined the first micro-SaaS wave. Median exit: $150K on Flippa, sub-3× ARR.
Bubble, Webflow, Notion plugins enabled solo builders to ship full apps. Median MRR doubled to $4.2k.
GPT-5, Claude, and open agents unlock single-operator businesses at $30k+ MRR with zero engineers.
Chapter 2 · Sizing the Goldmine
Source: MicroAcquire · IndieHackers · Stripe Atlas · IdeaProof aggregation
The Niche Sort
Specialized agent chains (CRM enrichment, sales triggers) that big SaaS won't build. Stripe Atlas filings up 4× YoY.
EU AI Act and SOC2-for-AI created a wave of mandatory tools for SMBs — high willingness-to-pay, near-zero churn.
Tools for the long tail of $50k–$500k/yr creators: invoicing, sponsorship CRM, analytics. Underserved by Notion templates.
Commoditized by ChatGPT free tier and Notion AI. Median lifespan from launch to abandonment: 8 months.
API key managers, screenshot tools — saturated and copycats ship in days using AI codegen.
Platform API pricing killed unit economics. Even profitable winners face existential platform risk.
Sample idea spread
1 of 96 pages — buy to unlock all 50 vetted ideas
Geographic Split · Micro-SaaS revenue 2026
US dominates — Stripe Atlas, MicroAcquire, and the indie ecosystem concentrated there
Highest growth: solo founders in Lisbon, Berlin, Amsterdam taking advantage of EU SMB digitization
India and SEA bootstrapped operators serving global English-speaking SMBs at SEA cost base
Methodology
Cross-checked against
See inside
Real pages, no mockups. Click any to zoom.
For builders, not theorists
Every chapter ends with the same prompt: what's the smallest paid v1 you could ship in 30 days?
200 niches ranked on TAM, competition density and time-to-first-dollar — no 'AI for everything' fluff.
Founder teardowns with actual price history, churn, and the exact pricing move that 3×'d MRR.
A week-by-week protocol for shipping a paid v1 without raising — including the no-code stack winners actually use.
Every niche carries an AI-Disruption Risk Score so you don't bootstrap into a wall.
Table of contents
4 pages
6 pages
24 pages
12 pages
5 pages
5 pages
4 pages
2 pages
Built different
MRR cross-checked against Stripe Atlas filings and founder interviews — not victory-lap tweets.
TAM × competition density × time-to-first-dollar × AI-disruption risk = one number, no analysis paralysis.
For every category: which 2–3 channels actually convert paid users (with median CAC ranges).
10 named founder teardowns: the exact price history, the discount tactic, the upsell moment, and the churn cost of getting it wrong. The single best chapter for first-time SaaS pricers.
Comparison
| What you're looking for | This report | IdeaBrowser-style | Free newsletters |
|---|---|---|---|
| Vetted niches with TAM + competition score | 200 | 30–50 | 0 |
| Founder teardowns ($10k–$100k MRR) | 10 | 1–2 | |
| Real pricing data (history + churn) | partial | ||
| Distribution channel heat map | |||
| AI-Disruption Risk Score per niche | |||
| 30-day build framework | |||
| Price | €29 | $199/yr | $0–$50/mo |
Get the goldmine
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FAQ
62 pages. 200 vetted niches. 10 founder teardowns. AI-disruption scoring. 30-day build framework. Instant PDF. Lifetime access. €29.