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Case study · 2026

Tender View IFI tenders and experts on one platform

Consulting firms spend hours every day finding tenders on dozens of IFI websites, reading terms of reference and formatting experts' CVs. Tender View puts all of it in one workspace.

SaaSAIReactNode.jsTypeScript
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Role
Product, design, code, servers
Stack
React, Node.js, TypeScript, SQLite, Docker
Sources
18 IFI and donor feeds
Model
Subscription, 7-day trial

Founder & full-stack developer

A SaaS platform for consulting firms that bid on World Bank, ADB and EBRD tenders.

What it does

  • One tender feed from World Bank, ADB, EBRD, UN, GIZ and 13 more sources, checked automatically every two hours and scored for relevance to each firm.
  • AI reads the tender documents — qualification requirements, expert positions and criteria in minutes.
  • Expert search across the firm's CV database with word forms and synonyms in English and Russian.
  • CVs in the bank's format (World Bank TECH-6 or the client's template) in one click.
  • Company workspaces with roles, subscriptions, billing and an admin console.

How it was built

I designed the product, wrote the frontend and backend, set up the servers and run them. Tender sources are collected by scheduled workers; documents are downloaded and summarised with an AI model; the interface works in English and Russian.

Start a project

Let's build it.

Describe the task in a couple of sentences. I'll reply with questions, a plan and a fixed price — usually the same day.

jjurakhonov17@gmail.com
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