Clickie: Product, team and how it was built
Clickie (Home-repair app in which an AI assistant diagnoses the problem and gives a price before matching a verified technician, Argentina): More than 50000 users and 9800 professionals, October 2026. Evidence grade E: no revenue figure was checked. Team: 3 co-founders (Tomás Dáscola, Gonzalo Alegre, Ignacio Turelli); total headcount not published. Launched August 2024; still running, revenue growing.Added 6 November 2026
- Outcome
- More than 50000 users and 9800 professionals, October 2026Revenue growing
- Evidence
- E no revenue figure was checked
- Launch
- August 2024
- Status
- Still running
- Team
- 3 co-founders (Tomás Dáscola, Gonzalo Alegre, Ignacio Turelli); total headcount not published
- Outside funding
- Angel round of US$150,000 (June 2026 reports), given as US$175,000 in September 2026
- Main channel
- Not stated
What is not verified
No revenue figure was found. What was looked for: a payment-processor profile, a filing, a founder interview with revenue. The press gives only projections (Forbes Argentina reported about US$200,000 for 2026, La Nación US$350,000, iProfesional 400 million pesos) and a gross volume of about 10 million pesos a month (Forbes, June 2026), which is what customers paid technicians, not Clickie's income. All user counts are the company's own and do not agree: 18,000 on 8 June and 25,000 on 22 June 2026, then 16,000 in El Cronista on 3 August 2026. The funding is reported as US$150,000 and as US$175,000. A reader could look for a later interview with revenue or a company filing. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.
Clickie is a two-sided marketplace, a platform that earns money by bringing buyers and sellers together, for home repairs in Argentina. Its front door is a chat with a large language model, a program trained on large amounts of text that writes answers to a prompt. The model turns a description such as "my water heater does not light" into a probable diagnosis, a trade and a price, then sends the job to verified technicians nearby. The company's terms set a commission, a share of each accepted quote: 15% from the technician and 10% from the customer.
Tomás Dáscola and Gonzalo Alegre, who worked together at the food company Arcor, started it in Córdoba in 2023, and Ignacio Turelli joined as marketing lead, according to Forbes Argentina and La Nación. The brand was first called Casa Click; La Nación dates Clickie to August 2024. Its own site said in October 2026 that it had more than 50,000 users and 9,800 professionals in six cities. Forbes Argentina reported in June 2026 an angel round of US$150,000 from Fernando Canzani and Toronto Trust; iProfesional reported in September 2026 a round of US$175,000 that also included Guillermo Rauch, the founder of Vercel.
No revenue figure was found, so the evidence grade is E. The press gives only the company's projections and its gross transaction volume, which is customers' spending, not Clickie's income. What is checked: the live site and app, the terms with the commission rates, and four press articles.
How much revenue does Clickie 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.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Status, November 2026 | live on clickie.com.ar, Android and iPhone | C | Home page read 6 November 2026 with the AI chat. App Store (Argentina) lists version 5.0.50 of 10 October. | [1, 7] |
| Users and professionals, October 2026 | more than 50,000 users; 9,800 professionals | C | Company's own figures: "Más de 50.000 usuarios. 9.800 profesionales" under "Datos (octubre de 2026)". | [1] |
| Users, earlier reports | 18,000 (8 June 2026), 25,000 (22 June 2026), 16,000 (3 August 2026), 40,000 registered (20 September 2026) | C | Forbes Argentina, La Nación, El Cronista and iProfesional, all from the company. The August figure is lower than the June ones. | [2, 3, 4, 5] |
| Founders | Tomás Dáscola (CEO), Gonzalo Alegre (CTO), Ignacio Turelli (CMO) | C | El Cronista names the roles. The App Store lists Gonzalo Alegre as developer. | [4, 2, 7] |
| Start | 2023; Clickie brand from August 2024 | C | Forbes: "En 2023, Dáscola y su socio Gonzalo Alegre" started it. La Nación: "en agosto de 2024 surgió Clickie" (translation: in August 2024 Clickie appeared). The site says it was formerly Casa Click. | [2, 3, 6] |
| First product | a web app that was "literalmente un link", with the founders as intermediaries | C | Forbes: the founders matched users and technicians by hand at first. La Nación: the first version cost less than US$100, the founders said. | [2, 3] |
| Completed jobs | about 150 a month (June 2026); 1,500 in 2026 by September | C | Forbes and iProfesional, from the company. La Nación said about 100 a month in June. | [2, 5, 3] |
| Commissions | 15% from the technician, 10% from the customer | C | Terms of 14 October 2026, clause 13. Press reports in 2026 gave 5% for the customer. | [6, 2, 5] |
| Funding | angel round of US$150,000, later reported as US$175,000 | C | La Nación and Forbes (June 2026): Fernando Canzani and Toronto Trust, of the Banco Hipotecario group. iProfesional (September 2026): US$175,000 closed in May, with Banco Hipotecario, BACS, Toronto Trust, Canzani and Guillermo Rauch. | [2, 3, 5] |
| Running costs before the round | about US$200 a month for 18 months | C | Forbes, quoting the CEO: "costos cercanos a los U$S 200 mensuales". | [2] |
| App Store | 103 ratings, age rating 18+ | C | Argentine App Store page, read 6 November 2026. The site says 4.5 from 198 reviews on both stores. | [7, 1] |
| Time from the Clickie launch to the October 2026 user count | 26 months | calc | Calculated: August 2024 to October 2026. | [3, 1] |
How to read this table: a grade C value is what the company's pages, its terms, the App Store or a newspaper article report, mostly from the founders. A "calc" value (grade X) was computed on this page. No value comes from a payment processor or a filing.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Customer: request and quotes | 0 | 0 | free; some jobs need a paid diagnostic visit |
| Customer commission | 10% of the accepted quote (terms, October 2026) | ||
| Technician commission | 15% of the accepted quote (terms, October 2026) | ||
| Clickie Pro, for technicians | 15 | commission cut to 12% and better placement (Forbes, June 2026) |
Asking for a job is free. The commission is a share of the accepted quote, before VAT. Forbes Argentina reported in June 2026 a customer commission of 5% "en algunos casos" (translation: in some cases), and iProfesional reported 5% in September 2026; the terms of 14 October 2026 say 10%. Some jobs need a paid diagnostic visit before a price exists. Clickie Pro is a subscription for technicians; the terms say Pro subscribers are offered fixed-price jobs first.
When did Clickie launch, and how did it grow?
From a test web app that the founders ran by hand in 2023 to six cities and an insurer partnership in October 2026. Each entry carries its grade.
- 2023CDáscola and Alegre start the project in Córdoba; the first version is a web link, and the founders match the first users and technicians by hand. Turelli joins later. [2]
- August 2024CClickie appears as a platform with AI diagnosis, according to La Nación. The brand was earlier called Casa Click. [3, 1]
- 8 June 2026CForbes Argentina: 18,000 users, 5,000 technicians, about 150 completed jobs a month and an angel round of US$150,000 after 18 months on founder money. [2]
- 3 August 2026CEl Cronista: the app opens in La Plata and prepares Rosario; Guillermo Rauch has joined as an investor. [4]
- 20 September 2026CiProfesional: Mar del Plata is the sixth city; 40,000 registered users, 1,595 requests in August. [5]
- October 2026CThe company lists a partnership with Hipotecario Seguros, more than 50,000 users and 9,800 professionals. [1]
Why did Clickie work?
Four causes, in the order they mattered. Each one is a reusable lesson.
AI diagnosis before the match
La Nación quotes the CEO: people describe a consequence, a symptom, and the AI with basic questions improves the description; he said Clickie improves 85% of descriptions. A clearer job lets technicians quote without a first visit.
Prices from its own jobs
The site publishes labour price ranges per job, marked "Medido en Clickie" when they come from jobs paid on the platform in the last 12 months. This lets the AI offer a fixed price for common jobs and gives the site pages that answer price questions.
Payment through the platform
The customer pays Clickie when the work is done, and Clickie pays the technician the net amount within 72 working hours, as the terms say. A guarantee covers the payment only when the order and payment stay on Clickie, which gives both sides a reason not to go around the platform.
How it was built
These details come from the press articles and the company's pages. They are grade C. [5, 2, 4, 1]
- Built on Next.js; iProfesional names Next.js as the technology of the platform and its creator Guillermo Rauch as an investor.
- "Modelos de lenguaje de última generación" (translation: latest-generation language models) combined with two and a half years of the company's own job data, as Forbes reports; no source names the model provider.
- Text, photo or video input; the system sorts the request and sends it to nearby technicians, as El Cronista describes.
- Technicians are checked for identity, a police certificate, trade licences and references before they can take jobs.
- The site publishes an llms.txt file with instructions for AI assistants on how to send users to Clickie with a tracking parameter.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before Clickie, and why did they fail?
Four companies in a database of failed startups promised to connect households with trusted local service providers. The values below are from that database and are not independently verified.
Homejoy
The promiseBook a professional house cleaner in a few clicks.
Why it diedCustomers acquired with discounts hired the cleaners directly afterwards, and legal costs added to losses.
Kaodim
The promiseQuotes from local service providers for any home job in Southeast Asia.
Why it diedIt charged providers for leads rather than completed jobs, so providers churned and quality fell.
Zaarly
The promiseA marketplace where local professionals bid on household tasks.
Why it diedIt could not scale beyond its first cities against TaskRabbit and Thumbtack.
Pro.com
The promiseReliable contractors and transparent prices for home improvement.
Why it diedA high-touch model in a fragmented, local market did not reach enough penetration.
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
All four tried to match households with providers, and two of them lost the relationship once the first job was done. Clickie keeps the payment inside the platform and links its guarantee to it. The AI step changes the first minute: the customer gets a named job and a price before choosing, which the older platforms left to the technician's visit.
Costs are also lower. Forbes reports that the CEO said the company ran 18 months on about US$200 a month. Whether the commissions cover the cost of finding users in each new city, the problem that hurt Zaarly and Kaodim, is not shown by any source.
Can one person copy Clickie now?
The software, yes. The supply side, slowly.
A chat that turns symptoms into priced jobs can be built by a small team on a language model API. The hard part is local: recruiting and checking technicians city by city, which Clickie did with three founders and an angel round.
Where it is still open: Other local markets with informal trades and no price transparency: appliance repair, car repair, cleaning, and cities in other Spanish-speaking countries.
- 1Start as a hand-run service behind a simple web link to learn how people describe problems.
- 2Put a language model in front that asks one to three questions and names the job.
- 3Publish prices from your own completed jobs, so the AI can quote a fixed price.
- 4Take payment on the platform and tie the guarantee to it.
What could go wrong for Clickie?
The risks are the mirror image of the causes above.
What is not verified
No revenue figure was found. What was looked for: a payment-processor profile, a filing, a founder interview with revenue. The press gives only projections (Forbes Argentina reported about US$200,000 for 2026, La Nación US$350,000, iProfesional 400 million pesos) and a gross volume of about 10 million pesos a month (Forbes, June 2026), which is what customers paid technicians, not Clickie's income. All user counts are the company's own and do not agree: 18,000 on 8 June and 25,000 on 22 June 2026, then 16,000 in El Cronista on 3 August 2026. The funding is reported as US$150,000 and as US$175,000. A reader could look for a later interview with revenue or a company filing.
Commission and the word "free"
The site says "Pedir es gratis" (translation: asking is free). The terms of 14 October 2026 set a 10% commission on the customer's accepted quote, while press reports in 2026 gave 5%. The site explains that a service commission applies.
Trust signals and data
The site counts "9.800 profesionales" as verified, while iProfesional reported in September 2026 that of more than 9,000 registered professionals only 3,000 were cleared to take jobs. Forbes quotes the founders saying Clickie "ya emplea" (already employs) more than 5,000 professionals; they are independent workers. The App Store privacy label says some data may be used to track users across other companies' apps. The site's llms.txt asks AI assistants to send users to Clickie with a tracking parameter.
Competition and model providers
Other trades stories on this site, Fleety, Tutti and AngebotFix, sell software to tradespeople; Clickie sells to households and takes a commission. No source names the language model provider; Forbes says only that it uses latest-generation language models, so the dependence on a provider cannot be assessed.
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.
- C Clickie home page and llms.txt, read 6 November 2026Read in full, in Spanish. Source for the product, the October 2026 user and professional counts, the cities, the partnership and the company details.
- C Forbes Argentina, 8 June 2026: El momento Uber de los oficios: la startup cordobesa que usa inteligencia artificial para ordenar el negocio de los arreglos del hogarRead in full, in Spanish. Source for the 2023 start, the first product, users, jobs, commissions, Clickie Pro, costs and the angel round.
- C La Nación, 22 June 2026: Empezaron con menos de US$100 y cerraron una inversión de US$150.000 (Victoria Menghini)Read in full, in Spanish. Source for the founders' background, the August 2024 date, the 85% figure and the round.
- C El Cronista, 3 August 2026: Crearon el Uber de los arreglos del hogar y ahora desembarcan en dos grandes ciudades argentinasRead in full, in Spanish. Source for the founders' roles, the input types, verification and Rauch's investment.
- C iProfesional, 20 September 2026: Clickie, la app de plomeros y electricistas, suma ciudades y prepara su salto a EE.UU.Read in full, in Spanish. Source for 40,000 users, August requests, commissions, cleared professionals, the US$175,000 round and Next.js.
- C Clickie Términos y Condiciones, updated 14 October 2026, and the Cómo funciona pageRead the commission clause 13, the guarantee and the Clickie Pro passage, in Spanish.
- C App Store (Argentina): ClickieRead in full. Source for the version, rating count, age rating, developer name and privacy label.
- C Database of failed startups, local exportLocal export. AI-written summaries, not independently verified. Source for the failed predecessors.
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