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REPOLENS
a deployed ai code-intelligence platform with 27 pre-indexed repositories and 60,374 real source chunks. classic rag and a tool-using google adk agent answer codebase questions with file-and-line citations, backed by fastapi, postgresql/pgvector, gemini, neon, docker, and 30 automated tests.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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𝐉𝐨𝐛 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐨𝐧 𝐡𝐚𝐫𝐝 𝐦𝐨𝐝𝐞
B2 English, based in Argentina. Payment preferably in USDT. Remote only. Quite a combination, right?
I built an AI-assisted job-search system around Freehire and Hirify. Both platforms offer official API/CLI access for automation, which makes them much easier to connect to an agent workflow. Simple Python scripts collect job listings and run the first pass of filtering against strict rules.
Then agents double-check the requirements, match them against my experience, and tailor my CV to each role. They highlight relevant projects and technologies I've actually worked with. Final review and approval stay with me.
𝐀𝐬 𝐨𝐟 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟔:
✅ 20 applications sent;
✅ 8 HR screenings passed;
✅ 1 video screening completed and submitted.
🚀 Technical interviews are still ahead.
I'm not ready to write off the market. Even with my constraints, things are moving.
A job search deserves 𝐚𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨𝐨: clear rules, automation, and checks on the results.
$238K in revenue in month one, and costs down 47%.
That's what happened when a US life insurance agency moved from a stack of separate tools onto one AI sales floor I built.
- An AI voice agent screens every caller and fills the CRM live
- Supervisors can barge in, whisper, transfer or conference on any live call
- Every application tracked from submitted to paid
- Commissions calculate themselves on approval
- Publishers get their own portal and automatic end-of-day reports
Full case study on my profile.
Patitas & Tijeras: from "can I book?" to "you're booked" for a solo dog groomer in Lima
One-line problem: Mariela grooms one dog at a time in Surco, Lima, and loses about 2 hours a day on WhatsApp while 1 in 5 clients never show up.
THE BUSINESS
Patitas & Tijeras is a one-woman grooming studio in Santiago de Surco, Lima. Its quirks shape the whole product:
One dog at a time, never in a cage, so the calendar can never double-book
Slot length depends on the dog: a chihuahua takes 45 min, a matted golden takes 3 h
15 protected minutes between dogs to clean the table
Saturdays fill first; weekdays have room
Clients pay a deposit by Yape (Peru's most used payment app) to hold a slot The business is fictional. The problem is real for thousands of small shops in Lima.
FOR CLIENTS
Book in about a minute: breed, size and coat set the exact slot length, so only times that really fit are shown
A Yape deposit holds the slot. A booking can't be confirmed until the deposit arrives
Every booking gets its own page with a QR code and clear next steps
Waitlist and reminders; returning clients are recognized by phone number
Spanish and English, detected automatically
FOR MARIELA
Inquiry inbox: "got a slot Saturday?" gets real times back in one tap
QR check-in on arrival, with clear warnings for codes from another day, cancelled or already used
Regulars with no no-shows in the last 90 days can rebook without a deposit
A dashboard with revenue, occupancy, no-shows and hours saved
In the demo data, no-shows drop from 21% to 4%
HOW IT'S BUILT
Built entirely in Lovable on Lovable Cloud (Postgres, auth, storage): 21 versions in about 18 hours. Overlapping bookings are blocked by the database itself, not just the interface. Most fixes came from testing it on my phone as a real client would.
TRY IT
Live app: https://patitas-y-tijeras.lovable.app
Owner view: "Studio login" → "Enter the demo as Mariela" (demo data resets every night)
Lovable project: https://lovable.dev/projects/2549d272-0442-42a4-b7b3-52122c971817
Process video: https://x.com/Sebas_TZ_/status/2104022416062312659
Social post: https://www.instagram.com/p/DdxTkJYmmTa/?img_index=1
Built with @Lovable #lovablechallenge
How does the app know a Yape deposit has arrived before it confirms the booking? Does Mariela confirm it from her phone, or does the app read the payment itself?