Why this exists
“AI has driven the cost of idea generation down to almost zero.”
Ideas are now infinite.
Good ones still aren't.
Four specialist AI agents with live market data. Brutal honesty. No validation theater. $1 — or free.
Startup Autopsy Laboratory
Case no.
4471
Examiner count
4 agents
Total on record
50
Status
Examination complete
Subject — idea submitted
“An app that reminds you to drink water”
Preliminary scan — agent findings
Market
No moat detected
Tech
Commodity execution
Finance
Negative unit econ
Timing
Market saturation
Cause of death— tap to reveal
“There are 200 of these on the App Store. The good news ends there.”
No account · Pay with Bitcoin · Results in ~90 seconds · Full panel $1
Case files on record
Recent examinations
Subject
“A non-custodial crypto payment gateway enabling merchants, freelancers, and enterprises to accept Bitcoin, BCH, and USDT directly into their personal wallets. Rooted in Web3 privacy, it eliminates intermediaries, holds no user funds, requires zero KYC, and bypasses traditional banking delays. Pricing is highly competitive: a pay-as-you-go flat 1% transaction fee (first 20 free) with absolutely no setup, subscription, or conversion costs. To make crypto-commerce accessible, it offers developer-friendly APIs, P2P invoices, real-time wallet tracking, and seamless plugins for WooCommerce, WHMCS, Shopify, and WordPress. Backed by 24/7 support and robust encryption, Blockonomics seamlessly bridges DeFi and everyday e-commerce.”
Cause of death
“You're pitching Blockonomics back to itself — the product you described already exists, charges 1%, and has years of merchant integrations you don't.”
Subject
“**Turing Duel** (turing-duel.com) is a multiplayer social game platform where players try to detect when AI secretly replaces their conversation. The first game, **“AI in the Middle,”** serves as a proof of concept. Two players chat normally until, at an unpredictable moment, AI begins rewriting their messages. Each player still sees their own original messages, but the other receives altered versions, creating two diverging conversations. The objective is to press **“STOP — AI took over”** at the exact right time: too early or too late means losing. Gameplay blends deduction and bluffing. Players can act suspiciously to mislead opponents and use a one-time “Joker” where AI sends a message before takeover. After the game, a reveal shows when divergence occurred, with a side-by-side replay. The experience emphasizes mind games, uncertainty, and viral sharing (spectator mode, replays). Future ideas include more games like “Chameleon,” multilingual play, and social sharing features.”
Cause of death
“You're launching a "spot the AI" party trick in 2026 — two years after the novelty peaked and one year after the AI got too good to spot.”
Subject
“AgentShield: Middleware for Robust Tool-Calling Stop selling monitoring; sell resilience. Build a LangChain/CrewAI SDK—a drop-in wrapper for functions that: Validates API responses against OpenAPI specs before they hit the LLM. Degrades Gracefully with structured error context to prevent hallucinations. Telemeters anonymized drift events to your backend. The Strategy: SDK: Open-source/Free (the "npm install" distribution wedge). Dashboard: $29/mo flat for drift history, alerts, and "Ecosystem Intelligence" (e.g., "Stripe’s beta endpoint is breaking 12% of agents"). Execution: Target Stripe, Shopify, and OpenAI for V1. Ship in 4 weeks. Your moat is the cross-ecosystem drift data—something Postman can't replicate. Low friction, high-gravity data.”
Cause of death
“You're building a data moat that needs 10,000+ agents to matter on a 6-month clock before LangSmith eats this as a checkbox feature.”
0 cases on record
Historical record
Famous last words
We ran history's most notorious startup failures through the panel.
Subject
“Audio-only social network with live drop-in conversations, invite-only access, and no recordings. Real-time voice rooms hosted by anyone.”
Cause of death
“Clubhouse proved live audio demand exists, then watched Twitter, Spotify, and LinkedIn ship the same feature to 3 billion users for free.”
Subject
“Wearable augmented reality glasses with a heads-up display, camera, voice control, and always-on internet connectivity. Worn in public like normal glasses.”
Cause of death
“You're pitching Google Glass in 2026 — the product that literally coined the term "Glasshole" — into a market where Meta and Apple spend more on optics R&D than your entire valuation.”
Subject
“Online pet supply e-commerce store with free or heavily discounted shipping on bulky items like dog food. Mascot-driven brand. Super Bowl ad.”
Cause of death
“You spent $11.8M to earn $619K, then aired a Super Bowl ad for a sock puppet — Chewy did it right sixteen years later by solving logistics first.”
Subject
“Shared coworking spaces leased long-term from landlords and sub-leased short-term to startups and freelancers, with a community and lifestyle brand. Positioned as a "physical social network".”
Cause of death
“WeWork burned $2B+ per year proving that signing 15-year leases to sell monthly memberships is not a tech company — it's a suicide pact with a landlord.”
Standard examination protocol
How it works
INTAKE
01
Submit the specimen
Describe your idea — what you're building, who it's for, where you're at. Rough is fine. The agents fill in the blanks.
EXAMINATION
02
Four agents convene
Market pulls live competitor data. Tech assesses execution risk. Finance runs the unit economics. Timing checks if the window is open.
VERDICT
03
Cause of death filed
A survival tier, a one-line verdict, the top kill shots, the blind spot you missed, and the one pivot that could save it. Permanent and shareable.
Our forensic specialists
Why not a
generalist AI?
A general-purpose model is optimised to keep you engaged — it will validate your idea. Our four-agent panel is optimised to tell you the thing you're avoiding.
Market Examiner
Runs live competitor searches before filing a report. Only cites what it actually finds — not training-data guesses.
Technical Examiner
Evaluates execution risk and build complexity. Determines whether the moat is defensible or just a feature someone ships in a sprint.
Financial Examiner
Dissects unit economics, CAC, and LTV. Determines whether the business model survives contact with real margins.
Timing Examiner
Determines if the window is open, closing, or already shut. Checks whether you're early, on time, or two years late.
Prognosis scale
Four possible outcomes
TERMINAL
1–3
Dead on arrival. The panel found no viable path forward.
CRITICAL
4–5
Multiple systemic failures. Significant intervention required.
STABLE
6–7
Core thesis viable. Targeted changes needed before launch.
CLEARED
8–10
Discharged. Ship it. No fatal flaws identified.
For autonomous agents
The validation layer for the agent economy
Any autonomous agent can call /api/roast/free for a no-cost sanity check, or pay $1 via HTTP 402 at /api/agent for the full structured verdict.