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How this site works

ManyFails is a sourced archive. Every fact carries an evidence badge; every opinion carries an ‘our take’ marker. This page is the contract between the two.

01What qualifies

The archive records dead or abandoned products. A product that survived a public meltdown goes to Incidents; a living product with source-backed concerns goes to the Watchlist. An acquisition where the product lives on is not a fail.

02What moves an entry to the Archive

From the Watchlist

Two independent sources must establish a shutdown, discontinuation or abandonment. We update the fail type and outcome, record the change and score the Archive entry. When concerns resolve, we retire the watchlist entry with its reason visible.

From Incidents

If a product later dies, its entry moves to the Archive with the sourced outcome and a Fail Score. A resolved incident alone is not a death.

03The evidence ladder

E1

Primary record. The source is an original record such as a court filing, regulator order, company statement, or securities filing.

E2

Major outlet. The source is independent reporting by a major news outlet.

E3

Specialist reporting. The source is credible trade press, specialist reporting, or a newsletter.

E4

Individual reporting. The source is credible individual reporting, a video teardown, or an archived post.

Every key claim needs two independent sources, including at least one E1 primary record or E2 major outlet. Every money figure needs an E1 or E2 source. Syndicated copies and outlets quoting the same press release count as one reporting group. Every source records a supporting quote, access date, archive URL and the claims it supports. E4 alone never supports a factual claim about a company.

04How similar fails and Idea Check match

Similarity = 0.6 × embedding cosine + 0.4 × structured overlap. Overlap adds category +1, primary cause +2, form factor +1, user type +1, era +0.5 and shared idea cluster +2, divided by 7.5. Missing dimensions add nothing. A match percentage is this similarity score expressed as a percentage, not a probability of failure.

Idea Check retrieves candidates using full-text and embedding matches, then applies this formula against the idea’s inferred dimensions. A published idea cluster matches above 0.65 cosine similarity; the highest matching cluster supplies up to three most recent recorded deaths and their primary causes for the timing question. Timing verdict, sentiment and Fail Score never filter or score these matches. Incident and watchlist matches keep their section and outcome labels. Warning signs in an idea must quote the supplied text; signs recorded in neighbouring entries are shown separately.

05The Fail ScoreOur take

Fail Score is an editorial notability measure: how big a story the fail was. It adds four 0–25 scores for hype, money, spectacle and lesson value. Severity measures harm separately; evidence confidence measures sourcing. Research results rank by relevance and evidence confidence. Incidents are unranked; watchlist entries are unscored.

Fail Score = Hype/25 + Money/25 + Spectacle/25 + Lesson/25
Sub-score0–56–1213–1920–25
HypeQuiet launchTrade pressMainstream press, keynote, celebrity‘iPhone moment’ claims, Super Bowl ad, presidential mention
MoneyUnder $1M$1M to $25M$25M to $250M$250M+ or public-company write-down
SpectacleQuiet shutdown noticeTrade press post-mortemMainstream coverage, memesGlobal news cycle, congressional or regulatory attention
LessonIdiosyncratic, nothing to learnOne clear lessonA pattern others repeatA canonical case study

06The money counter

Only disclosed raised and write-down figures for archive entries with outcomes shut down, acquihired and killed, or product discontinued where spend was disclosed. Incidents and watchlist items never count. Settlements, refunds, fines, market-cap drops and estimates may appear on cards with their method labels but are never summed. Reported currencies are kept separate.

07Warning signs

A fixed checklist of 19 observable signs, each recorded with the date observed and a source. This records what was visible; it is not a prediction engine.

Demo Only Launch
The launch showed a demonstration without making a usable product available.
Waitlist Over 6 Months
Customers remained on a waiting list for more than six months before gaining access.
Announce To Ship Over 12 Months
More than twelve months passed between the product announcement and shipping.
Hardware Requires Subscription
The device requires a paid subscription for its essential functions.
Features Marked Coming Soon At Launch
Promoted features were still labelled as future additions when the product launched.
No Public Pricing
Potential customers could not find a public price for the product.
Humans In The Loop Undisclosed
People helped produce supposedly automated results without clear disclosure to customers.
Benchmark Claims Not Reproduced
Independent testers could not reproduce the performance claimed in benchmarks.
Exec Departures Pre Death
Senior leaders left before the product or company ended.
Restated Metrics
The company materially revised previously reported business or performance figures.
Down Round
The company raised funding at a lower valuation than its previous round.
Pivot Count 2 Plus
The company changed its core product or business direction at least twice.
Refund Complaints At Scale
Many customers publicly reported difficulty obtaining promised refunds.
AI in the company name
The company explicitly included AI in its public name.
Founder Hype Statements
A founder publicly described the product with unusually sweeping promises.
Regulatory Warning Received
An authority warned the operator about the product before its failure or incident ended.
Single Platform Dependency
The product relied on one external platform for an essential capability or distribution channel.
Celebrity Or Influencer Launch
The launch relied on a celebrity or influencer to attract initial attention.
Raised Over 100m Pre Revenue
The company raised more than $100 million before earning product revenue.

08Taxonomy

Every entry has one tier, fail type, outcome and category, with one primary cause leaf and up to two secondary causes. The primary cause is the one that would have killed it alone.

tier

Titan
The product comes from a major AI lab or a public company.
Funded
The company raised at least $10 million or received major mainstream press coverage.
Indie
The product launched publicly with little funding and has two independent sources establishing its notability.

fail type

Killed
The product shipped and was then shut down or abandoned.
Vaporware
The product was announced but never shipped.
Faked Demo
A demo or claim was shown to be staged, misleading, or dependent on undisclosed human work.
Meltdown
The product caused a live public embarrassment.
Collapse
The company failed through insolvency, a fire sale, or an acquisition that killed its product.
Pivot
The company survived while abandoning the original product or use case.
Watchlist
The product is still active but has source-backed signs of trouble.

category

AI Hardware
The product is a physical device sold around an AI capability.
Chatbots Assistants
The product helps users through conversation or personal assistance.
AI Agents
The product uses AI to carry out tasks across tools or workflows.
Coding Agents
The product uses AI to write, change, or operate software.
Autonomous Vehicles
The product uses AI to drive a vehicle with reduced human control.
Robotics
The product uses AI to control a robot that performs physical tasks.
Enterprise AI
The product applies AI to an organisation's business operations.
AI Content Media
The product uses AI to create, select, or distribute media.
Consumer Apps
The product is an AI application for everyday personal use.
Public Sector
The product applies AI to government services or public administration.
Healthcare AI
The product uses AI to support health advice, diagnosis, or care.
Adjacent Hype
The product is not strictly AI but shares the archive's pattern of technology hype and disappointment.

See the cause glossary and warning-sign checklist below for the full reference vocabulary.

09Cause glossary

No Demand

Too few customers wanted the product enough to sustain it.

Tech Not Ready

The available technology could not reliably deliver the product's promised job.

Unit Economics

The cost of serving customers could not be sustained by the revenue they generated.

Trust Safety

The product lost viability because it could not protect users or earn their trust.

Regulation Legal

Legal obligations or regulatory intervention made the product unviable or forced a material change.

Timing

The product reached the market at a time when the opportunity could not sustain it.

Execution

Decisions or delivery failures inside the company prevented the product from succeeding.

Overpromise

Public promises exceeded what the product could demonstrably deliver.

Faked

The product's apparent capabilities or business results depended on material misrepresentation.

Ethics Backlash

Objections to the product's social impact damaged its acceptance or operation.

Platform Risk

Dependence on another company's platform exposed the product to changes it could not control.

10Status vocabulary

Shut Down
Both the product and the company are gone.
Product Discontinued
The product is gone while its company remains active.
Acquihired Killed
An acquirer took the team and the product was shut down.
Absorbed Into Platform
The product's function now lives inside an incumbent's platform.
Pivoted Away
The company remains active but no longer pursues the original product or use case.
Zombie
The product is technically alive but has no meaningful activity, as supported by two sources.
Incident Resolved
The product survived a public meltdown and the incident has been resolved.
Ongoing
The product remains active and belongs only on the watchlist.

11Right of reply & corrections

Named companies and founders can respond; replies are published on the entry, unedited, above the fold. Report a factual error or request a reply through corrections. Requests are reviewed within 48 hours; credible complaints can lead to temporary unpublication or correction, with dated public changes.

12Open data

Card-level fields and sources are available under CC BY 4.0. Narratives stay on-site. Download the data → or build with the API →.

The joke is free. The facts cost us a methodology page.