Ahron revenue: €1M+ ARR reported, started small, grew

01

How much revenue does Ahron make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A two-founder Munich start-up that stated more than €1 million in annual recurring revenue nine months after it was founded, with no outside check of the figure
Fact	Value	Grade	How we know	Sources
Annual recurring revenue, stated 30 September 2026	more than €1 million (about US$1.13 million a year)	D	Company press release, published on ahron.ai at 07:00 CEST on 30 September 2026: "Since the start of the year, Ahron has already generated more than €1 million in annual recurring revenue and won well-known customers across the US and Europe." Munich Startup (2 October 2026) and SAATKORN (18 October 2026) repeat it and name the press release as the origin. No filing, investor or payment processor confirms it.	[1, 2, 3]
The ARR figure in US dollars	about US$1,134,500 a year, or about US$94,500 a month	calc	Calculated: €1,000,000 times 1.1345 US dollars per euro, the Federal Reserve H.10 noon rate for 30 September 2026; divided by 12 for the monthly value. Because the source says "more than", the real value may be higher.	[1, 13]
Funding round, announced 30 September 2026	€2.2 million (about US$2.5 million)	C	Press release: led by Cusp Capital, with superangels and business angels from HR, including Sabine Kohleisen, former Board Member for HR at Mercedes-Benz Group. US dollar value calculated at 1.1345 per euro (H.10, 30 September 2026): US$2,495,900.	[1, 2, 13]
Founded	end of 2025, by Carl Hoffmann and Rado Pavlov	C	Press release of 30 September 2026: "founded at the end of last year". Munich Startup: "founded only at the end of 2025". The About page says "founded in 2025". The month December is this page's reading of "end of 2025"; no source gives the exact date.	[1, 2, 9]
Time from founding to the revenue statement	about 9 months	calc	Calculated: December 2025 to September 2026.	[1]
Company register	ahron.ai GmbH, Sedanstrasse 25, 81667 Munich; Amtsgericht München, HRB 306695	C	From the privacy notice on ahron.ai, which names Carl Hoffmann and Radoslav Pavlov as managing directors. The register entry itself was not downloaded.	[10]
Subsidiary	ahron.ai Bulgaria EOOD, Sofia	C	Privacy notice: "Our engineering hub accesses personal data only as needed to build, run and support our services". The press release says the company "is based in Munich and Sofia".	[10, 1]
Team at the start	2 co-founders	C	Press release, About page and SAATKORN (February 2026) name Hoffmann (CEO) and Pavlov (COO) as the two co-founders. SAATKORN reports that their partnership began in a shared apartment hallway during the Covid lockdown.	[1, 4, 9]
Team in November 2026	a team of 10+ engineers; access to 20+ dedicated AI developers	C	Job ads on join.ahron.ai, read on 4 November 2026; the ads carry no date. Forward Deployed Engineer: "You'll join a team of 10+ engineers". AI/ML Engineer: "access to 20+ dedicated AI developers". Five open roles, in Munich and Sofia. Total headcount is not published.	[11]
Founder background	Hoffmann founded Talentry, acquired by CleverConnect in 2022	C	Press release: "a recruiting technology company he built over nine years before it was acquired by CleverConnect in 2022". About page: the founders "have been building and scaling HR-Tech and SaaS companies since 2011". No sale price is published.	[1, 9, 4]
First agents	talent acquisition: screening, interview scheduling, hiring-manager feedback	C	Hoffmann in SAATKORN, 18 October 2026: "Unsere ersten KI-Agenten haben wir für Talent Acquisition gebaut, also für Screening, Interviewplanung und das Feedback von Hiring Managern." (translation: we built our first AI agents for talent acquisition, that is for screening, interview scheduling and feedback from hiring managers).	[3]
Candidate screening agent	builds a shortlist for recruiters	C	Solutions page, Candidate Screening & Matching: "Reviews every application against the same criteria and asks follow-up questions based on the candidate's CV, so recruiters start their day with a well-informed shortlist instead of an inbox."	[6]
Named customer case	DHL recruiting	C	Solutions page: recruiters at DHL use a "Recruiter Action Board" that highlights priority candidates and flags SLA breaches in real time. SAATKORN (February 2026) mentions recruiting use cases at large companies such as DHL. No revenue from this customer is published.	[6, 4]
Technology base	Celonis process intelligence; official Celonis partner	C	Home page: "Ahron is an official Celonis Partner and is natively developed on the Celonis stack." FAQ: "Ahron is Celonis' global partner for HR." Munich Startup reports the same, "According to the company".	[5, 2]
Where customers come from	requests through the Celonis partnership, worldwide	C	Hoffmann in SAATKORN, 18 October 2026: "Über unsere Partnerschaft mit Celonis kommen aber Anfragen aus der ganzen Welt" (translation: but through our partnership with Celonis, requests come from all over the world). He had planned a focus on Germany, Austria and Switzerland.	[3]
Data and law	hosted in the EU; processor under Art. 28 GDPR; "designed in line with the requirements of the EU AI Act"	C	FAQ on the home page. The FAQ also says: "Decisions about people stay with your team." US hosting is offered on request through Celonis US clusters (Why Ahron page).	[5, 8]
Prices	not published	C	FAQ: "Pricing depends on the processes in scope and the size of your organization."	[5]

How to read this table: a grade D value is one company statement on one date, repeated by the press without its own check. A grade C value is what the company or its founder says about the product, the team or the plans. A grade A value is an official publication. A "calc" value (grade X) was computed on this page. No revenue value is grade A, B or C.

Ahron prices in November 2026: none published; the FAQ says pricing depends on scope and company size (grade C)
Plan	Per month, billed yearly (US$)	Per month, billed monthly (US$)	Limit
Proof of value			price not published; runs on an exported process file
Platform with agents		custom	price not published; depends on processes in scope and company size

The site's FAQ says: "Pricing depends on the processes in scope and the size of your organization. Get in touch and we'll walk you through the options." A first "proof of value" runs on a flat file, a process export from the customer's HR information system, with no system access or connectors; the FAQ says the customer sees its real baseline within weeks. No source states the price of the proof of value or of a subscription. Customers can also bring their own large language model.

02

When did Ahron launch, and how did it grow?

From two former HR software founders to an announced €2.2 million round and a stated €1 million in annual recurring revenue, in about nine months. Each entry carries its grade.

Until 2022CHoffmann builds Talentry, a recruiting technology company, for nine years; CleverConnect acquires it in 2022. The About page says both founders have built HR-tech and SaaS companies since 2011. [1, 9]
Covid lockdownCHoffmann and Pavlov, two families in two apartments with one shared setup, begin their partnership in the hallway, SAATKORN reports. [4]
End of 2025CThe two found ahron.ai in Munich to apply agentic AI to HR processes across systems. [1, 2]
4 February 2026CSAATKORN Startup Talk with Hoffmann: an "operating system" for HR, process mining for a digital twin of the employee lifecycle, the Celonis partnership and recruiting use cases at companies such as DHL. [4]
2026CThe first agents go to talent acquisition customers: screening, interview scheduling and hiring-manager feedback. Customers then ask for HR services and payroll. [3]
30 September 2026, 07:00 CESTDPress release: €2.2 million led by Cusp Capital, and the statement of more than €1 million in annual recurring revenue since the start of the year, with customers in the US and Europe. [1]
2 October 2026DMunich Startup (Bernd Heppel) reports the round and repeats the revenue statement. [2]
18 October 2026CSAATKORN interview: the money goes to teams for single use cases such as payroll and to growth in the US; the founder names 100 international customers in two years as a wish. [3]
4 November 2026CJob ads list five open roles in Munich and Sofia and describe a team of 10+ engineers. [11]

03

Why did Ahron work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

Founders who already sold an HR software company

Hoffmann built Talentry for nine years and sold it to CleverConnect in 2022, the press release says, and the lead investor's partner named that earlier exit as the reason for the investment. Large companies buy HR software slowly and from people they trust; a founder who already sold to them starts with contacts and credibility.

02

Measure first, then automate

The process model shows where cases wait and what each step costs, so the company can state the expected saving in euros and days before an agent runs, Hoffmann told SAATKORN. The same model is the baseline against which every agent is measured later. A proof of value needs only an exported file, so the customer's security review can run in parallel.

03

A partner that brings the customers

Ahron is built on the Celonis stack and says it is Celonis' global partner for HR. Hoffmann told SAATKORN that requests come from all over the world through that partnership, which is how a company planned for Germany, Austria and Switzerland won customers in the US within its first year.

04

Rules and logs for a sensitive field

HR data includes salaries and applicant records, and the FAQ answers how to get the product past a works council, the employee body that reviews new systems in German companies. Ahron Nexus enforces fixed rules (for example, any contract change with a pay rise needs approval), keeps a person in the loop where the customer requires it and logs every action. The founder says agents can work on pseudonymised data. This answers the questions that a works council and the EU AI Act ask.

How it was built

These details come from the company's own pages, its job ads and the founder's interviews. They are grade C. [5, 7, 8, 11, 3, 10]

The process model is built on Celonis process intelligence (object-centric process mining); Ahron adds HR-specific apps, models and agents on top.
Ahron Nexus is described as four layers: a unified HR data layer, the digital twin of the hire-to-retire process, a context and policy layer that enforces deterministic rules, and the agents.
Agents connect to existing systems such as SAP SuccessFactors, Workday, Oracle HCM, ADP and ServiceNow, and reach employees in Microsoft Teams, Slack and email.
The architecture is model-agnostic: job ads say agents must work with any model, and the FAQ says customers can bring their own large language models.
Engineering job ads ask for Python and TypeScript, and LLM frameworks such as LangChain or LlamaIndex; the AI/ML role includes LLM pipelines for candidate screening and resume parsing.
Data is hosted in the EU by default; the company acts as a processor under Art. 28 GDPR. Engineering runs from Munich and from the Sofia subsidiary.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

CelonisC PythonC LovableB SupabaseB CloudflareB

04

Who tried this before Ahron, and why did they fail?

Four companies in our database of failed startups promised to automate hiring, to predict workforce needs for large companies, or to connect enterprise systems through one layer, and failed. The values below are from that database and are not independently verified.

Died 2017 to 2022Burned US$15M

Ansaro

The promise

An AI recruitment platform to automate hiring from resume parsing to interview scheduling while reducing bias.

Why it died

HR buyers saw it as nice to have and kept trusting human judgment over algorithmic hiring decisions.

No Market Need

Died 2014 to 2020Burned US$2M

Gogohire

The promise

Recruiting automation for small and medium businesses: sourcing, screening and workflow management.

Why it died

Its features became common, it could not prove a return against established applicant tracking systems, and the market was crowded.

Competition

Died 2017 to 2025Burned US$10M

Anthropos Digital

The promise

AI workforce analytics for large enterprises: predict attrition and shape teams from people data.

Why it died

Long enterprise sales cycles, high implementation costs and no proven return used up the money before product-market fit.

Ran Out of Cash

Died 2017 to 2025Burned US$81M

Solid

The promise

One API layer to connect enterprise systems and remove custom integration work.

Why it died

Enterprise integration was harder than planned; high sales cost, long sales cycles and support costs broke the unit economics.

Unit Economics

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

Ansaro and Gogohire sold automated screening when HR buyers did not trust an algorithm to judge people and could not see the return. Anthropos Digital and Solid sold analytics and integration to large companies and ran out of money in long sales cycles and costly implementations. Ahron sells to the same cautious buyers and connects to the same many systems, so it faces the same risks.

Three things differ. First, large language models can now read a CV, ask a follow-up question and write into another system, work that earlier tools could not do. Second, Ahron measures the process before it automates it, so it can show a baseline and a saving, the missing proof that killed Anthropos Digital; a first project needs only an exported file. Third, the integration and the sales come partly through Celonis, which already sells process mining to large companies. Whether this shortens the sales cycle enough is not shown by any figure beyond the company's own revenue statement.

05

Can one person copy Ahron now?

Not as a solo founder from zero. The pattern, partly.

Ahron's start rests on things a new solo founder does not have: an earlier HR software company sold to a larger buyer, contacts among HR directors of large companies, a partnership with a large software company and €2.2 million from investors, according to the press release. The pattern can be copied on a smaller scale: pick one process in one industry, measure how it really runs from the system logs, and sell an agent for the slowest step with a number attached.

Where it is still open: The same measure-then-automate approach for other back-office processes that span many systems: procurement, accounts payable, customer onboarding in banks and insurance claims.

1Choose a field you know from years of work, where the buyers already know you.
2Build on a platform that large companies already own (a process-mining tool, an ERP, a CRM) and join its partner program.
3Start each customer with a measurement from an exported file, so security reviews do not block the first result.
4Put the rules, the approvals and the logs first; in HR, finance or health they decide the sale more than the model does.

What could go wrong for Ahron?

The risks are the mirror image of the causes above.

What is not verified

The headline, more than €1 million in annual recurring revenue "since the start of the year", rests on one source: the company's own press release of 30 September 2026. Munich Startup (2 October 2026) and SAATKORN (18 October 2026) repeat it and name the press release; neither reports seeing documents. No customer count, no named paying customer with a contract value and no investor statement of the figure is published. A reader could look for the annual accounts of ahron.ai GmbH (HRB 306695) in the German company register once they are filed, or a later statement by Cusp Capital or a customer.

AI candidate screening and the EU AI Act

One of the agents reviews every job application against set criteria and builds a shortlist for recruiters. The European Commission's AI Act page lists "AI tools for employment, management of workers and access to self-employment (e.g. CV-sorting software for recruitment)" among the high-risk uses. For such systems the rules apply from 2 December 2027 after the AI Omnibus agreement, and they require risk management, high-quality datasets "to minimise risks of discriminatory outcomes", activity logging, documentation, information for the deploying company and human oversight. Ahron's FAQ says "Decisions about people stay with your team" and that the platform "is designed in line with the requirements of the EU AI Act"; it also says data is hosted in the EU and processed under Art. 28 GDPR. No source reports an outside assessment of the screening agent.

Team size and growth

The company started with its two co-founders at the end of 2025. Undated job ads read on 4 November 2026 describe "a team of 10+ engineers" and "access to 20+ dedicated AI developers", with an engineering hub in Sofia. The total headcount is not published, so this page cannot say how many people produced the stated revenue.

Dependence on Celonis

The product is "natively developed on the Celonis stack", and the founder says customer requests come through the Celonis partnership. A change in that partnership, or Celonis building HR agents itself, would hit both the product and the sales channel.

The large HR vendors build agents too

The FAQ names Workday and SAP as vendors building their own agents and argues that their agents stay inside their own systems. The Cusp Capital partner made the same point in the press release. Ahron's value depends on customers keeping many HR systems rather than consolidating onto one.

More in Customer support agents

Other businesses in the same group, best evidence first. All 22 stories in the group, 6 with grade-A revenue.

AI customer-support agents · Canada, now USA

Chatbase

Evidence A

$10M ARR

Solo founder · 37 months after launch, revenue growing

It launched the obvious application of a new model within weeks, with a pricing page on the first day. The founder built the parts around the model instead of a model, so every model upgrade improved the product for free. Then it moved from a consumer toy to business customers who stay.

2 grade-A facts · 5 that failed before it

White-label client portal, workflow builder and usage billing for agencies that resell AI voice and chat agents · United States

ChatDash

Evidence A

$19.9K MRR from 113 agencies

Team of 2 to 10 · 30 months after launch, revenue falling

Agencies that resell AI voice agents have the AI already; what they lack is a way to look like a company to thirty clients: a branded portal, usage billing and automations. ChatDash sells that layer and prices it per client slot, so it grows with the agency's client list. TrustMRR, reading the company's Stripe account, shows US$602,728 of revenue in total and US$19,893 of monthly recurring revenue from 113 subscriptions on 27 October 2026, about US$176 a subscription, after a fall of 60% from the best month in the table, November 2025.

4 grade-A facts · 5 that failed before it

AI appointment setter on WhatsApp and website chat · Germany, US company

Setter AI

Evidence A

$104K in 12 months

Team of 2 to 10 · 32 months after launch, revenue falling

It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds, to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026, in the same months in which the founder launched other products.

7 grade-A facts · 5 that failed before it

AI agent that screens job applicants and collects field-worker reports by text message · USA

TextWork

Evidence A

$2.9K MRR from 2 clients

Solo founder · 14 months after launch, revenue growing

Hourly and field workers answer text messages but ignore email and job portals, and a recruiter cannot call every applicant at night or on a weekend. TextWork replies at once and turns the chat into a structured report. Stripe data read by TrustMRR shows US$29,372 in the twelve months to 26 October 2026 and US$2,919 of monthly recurring revenue, but from only two paying subscriptions, so the business is small and depends on very few customers.

6 grade-A facts · 4 that failed before it

AI feedback widget for software products · United Kingdom

FeatureBot

Evidence A

$99/mo verified MRR

Solo founder · 10 months after launch, revenue flat

This page is about a very small verified result, not a large one. Stripe data on TrustMRR shows US$99 every month from January to October 2026 and one active subscription. That figure matches the monthly price of the top plan, so it is probably one customer. The story shows what a solo founder can build and sell, and how far one paying customer is from a business.

5 grade-A facts · 3 that failed before it

AI chatbot for websites · France

KipAgent

Evidence A

$1.1K verified in total

Solo founder · 9 months after launch, revenue growing

A small company in France built a narrow product in a crowded category and connected its Stripe account to a public revenue tracker. The verified monthly revenue rose from US$11.36 in March 2026 to US$424 in October 2026. The numbers are small, but they are payment records, not claims.

8 grade-A facts · 4 that failed before it

Built with the same tools

Businesses whose sources name tools that Ahron also uses: Lovable, Supabase, Cloudflare. Every tool has its own page in Tools.

AI images and videos from architects' renders and photos · France

ArchiRise

Evidence A

$781 MRR

Team of 2 to 10 · 9 months after launch, revenue growing

Its makers already sold websites and brand design to architecture firms, so they knew the problem from their clients: good projects shown with weak pictures, because a photographer or a rendering specialist costs money and time. They built a narrow tool for that one customer, in French, with prices from €19 a month, and built the app itself with an AI app builder.

5 grade-A facts · 4 that failed before it

AI presentation generator and Google Slides add-on · India

MagicSlides

Evidence A

$723K total, now $9K/mo

Team of 2 to 10 · 45 months after launch, revenue falling

Said US$19K a monthRecords US$9.6K in JulyDid not hold

It appeared in January 2023 inside Google Slides, a program where people already work, when writing slides from one sentence was new, and users showed it to each other without paid advertising. A blog about presentation topics then brought about 80% of new users from Google search, by the founder's account. Both channels weakened: search traffic fell, and Google added the same function to Slides. The verified total is real, and so is the fall: monthly revenue fell by half between February and July 2026.

7 grade-A facts · 4 that failed before it

AI screenwriting and pre-production web app · China, company registered in Hong Kong

Laper

Evidence A

$521K/yr run rate

Team of 2 to 10 · 10 months after launch, revenue flat

The founder had worked as a screenwriter and knew which part of the job is tool work: the page format, and keeping characters and scenes consistent across a long draft. He built the editor around that work and kept the AI in the role of a helper. He says Claude Code wrote all the code. The beta grew through invite codes that users earned by posting about it, and monthly revenue rose from US$5,136 in May 2026 to about US$46,000 in August and in September.

6 grade-A facts · 5 that failed before it

AI designer for mobile app screens · USA

Sleek

Evidence A

$247K/yr run rate

Team of 2 to 10 · 11 months after launch, revenue falling

It took a narrower job than the general AI design tools, mobile apps only, for people who build apps without design skills. The three founders reused what they had learned from four earlier design tools, built it in three weeks, and showed finished designs on X before the launch. Each new Gemini model gave them a better result and a new demo to post.

5 grade-A facts · 4 that failed before it

Same pattern: Built on another company's platform

These products live inside or on top of another company's product: a browser extension, an add-in, an app in a store, or a tool for the users of one platform. The host brings the users. The host can also change its rules, its prices or its own features, and the product must follow. All 47 stories with this pattern, 25 with grade-A revenue.

AI agent and MCP server for ad campaigns · USA

Adspirer

Evidence A

$54.7K MRR in June 2026

Solo founder · 7 months after launch, revenue growing

It went where the users already were: an app in ChatGPT's app store, a plugin in Claude's directory and in Claude Code, and setups for Cursor and Codex, in the months when these directories were new. It charges per tool call instead of a share of ad spend, so a small advertiser starts at US$49 a month. And it applied to the platforms' own API programs; the company says Google approved it in June 2026 and Amazon admitted it to its partner network.

5 grade-A facts · 4 that failed before it

AI writer and scheduler for LinkedIn posts · India

Supergrow

Evidence A

$32K in 30 days

Team of 2 to 10 · 34 months after launch, revenue falling

It entered a market where people already paid for tools such as Taplio, and did the one core task better: writing the post. The founders' public posts brought the first customers and a lifetime-deal platform, and that deal paid for growth without investors. Subscriptions, partnerships with LinkedIn influencers, affiliates and a move to team plans came after.

5 grade-A facts · 5 that failed before it

Chrome extension that adds import, folders, export and automation to Google's Gemini Notebook (formerly NotebookLM) · India

Kortex

Evidence A

$231K in 10 months

Team of 2 to 10 · sold 14 months after launch

Gemini Notebook had more than 30 million users and no folders, no export and no public API for personal accounts. Kortex sold the missing half for a few dollars a month, found its users in the Chrome Web Store, where Google marked it Featured, and in two lifetime-deal launches. The founder wrote that more than 100,000 users came 'without a single ad'. Most of the verified revenue arrived in February and March 2026, when a US$49 lifetime licence was on sale.

5 grade-A facts · 5 that failed before it

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

D Ahron press release, 30 September 2026: Ahron raises €2.2 million to power AI-based automation of HR processes
Read in full in the site's script bundle (the page loads by script), downloaded 3 and 4 November 2026; the publication time 2026-09-30T07:00:00+02:00 is set in the same bundle. Source for the revenue statement, the round, the founding date, the founders' background and the investor quotes.
D Munich Startup, Bernd Heppel, 2 October 2026: Ahron Hits €1M ARR and Secures €2.2 Million in Funding
Read in full. A news report based on the company's statements; it repeats the revenue figure, the round and the Celonis partnership.
C SAATKORN, Gero Hesse, 18 October 2026: KI-Agenten im HR: Wie ahron.ai Recruiting und Payroll automatisiert
Read in full (German). Interview with Carl Hoffmann. Source for the first agents, the Celonis channel, the US customers, pseudonymised data, Ahron Nexus and the plans. The interviewer cites the revenue figure from the press release.
C SAATKORN, Gero Hesse, 4 February 2026: Startup Talk with Carl Hoffmann from ahron.ai
Read the episode page in full (English and German); the podcast audio was not played. Source for the early positioning, the founders' meeting and the DHL use cases.
C Ahron home page and FAQ
Read the FAQ and home texts in the site's script bundle, downloaded 3 and 4 November 2026. Source for the Celonis partnership, data hosting, GDPR and EU AI Act statements, decisions about people, proof of value and pricing.
C Ahron solutions page
Read in full in the site's script bundle. Source for the agents, including Candidate Screening & Matching, and the DHL case.
C Ahron Nexus page
Read in full in the site's script bundle. Source for the four-layer architecture.
C Ahron: Why Ahron
Read in full in the site's script bundle. Source for EU hosting and the US hosting option through Celonis.
C Ahron: About
Read in full in the site's script bundle. Source for the founding year and the founders' background since 2011.
C Ahron: Imprint and privacy notice
Read the sections on the controller and the group companies. Source for the company register number, the managing directors, the address and the Sofia subsidiary.
C Ahron careers site, join.ahron.ai, read 4 November 2026
Read the five job ads in the site's script bundle; the ads carry no date. Source for the team description, the locations and the technical requirements.
A European Commission, Shaping Europe's digital future: AI Act
Read the sections on high-risk uses and the timeline, downloaded 4 November 2026. Source for the classification of CV-sorting software as high-risk and the 2 December 2027 date.
A Federal Reserve, H.10 release: historical rates for the euro, US dollars per euro
Read the daily table (last update 2 November 2026). Used the rate of 30 September 2026, 1.1345, for the conversions on this page.
C Database of failed startups, local export
Local export. AI-written summaries, not independently verified. Source for the failed predecessors.