Viktor.comAn AI coworker that actually does the work
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Sell to State
Search 3M government contracts in 64 countries
90 followers
Search 3M government contracts in 64 countries
90 followers
Structured government procurement data around the globe — tenders, suppliers and agencies. We help you research what governments around the world buy and find new opportunities to sell to them. No need to get a foreign company or e-signature before deciding there's money to be made. Browse for free; a flat fee unlocks the full dataset, saved searches, REST API and MCP.
Sell to State
Hey Product Hunt — I'm Vlad. I built Sell to State.
If you want to sell to a government that is not yours, the work is ugly. You make a local entity. You buy an e-signature. You learn a portal that last shipped a UI in 2009. A month later you still do not know if there is a contract worth the trip.
Sell to State is one search over government tenders, suppliers, and buyers. 63 markets. Not 63 logins.
What is in it today: 2.95 million tenders, 3.02 million award rows, 986 thousand suppliers, 99 thousand buying agencies. One query hits the tender, the firm that won it, and the agency that paid.
Coverage is uneven. Some countries are fat (Singapore is a good demo: search for "hospital" is 123 rows with values). Some countries are thin. We are filling those next. I will not pretend
every market is equally deep.
How you actually use it:
- Search tenders, suppliers, and buyers in one box.
- Open an award and see who paid, who won, and how much.
- Export CSV if you want the file.
- API or MCP if the data should land in a CRM, a sheet, or an agent. Same corpus, no extra portal.
It is a search product. It is not an AI procurement agent.
Price is flat: US$49/month or US$499/year. For this launch week the annual plan is US$349 with code **PRODUCTHUNT**.
Apply it at checkout — you should not need a DM.
If you sell into a government, open a country you actually bid in and tell me what is missing. Which country's dataset should we deepen next?
can users compare procurement activity between countries to see where demand for a particular product is higher?
Sell to State
@manisha_bhil hey Manisha. we don't have a built-in dashboard for this, but I think any AI agent can do those calculations. the idea is you plug in Sell to State's MCP, get raw data (e.g. all solar panel tenders per country) and ask your Claude/Codex/Grok/Qwen/whatever else you use to crunch the numbers for you. does that make sense?
@manisha_bhil @vlad_nadymov are you planning to build the dashboard though?
Sell to State
@manisha_bhil @denis_prodan at the moment I don't have it in my backlog. but I don't see any blocker besides me not quite understanding the use case. as you might imagine, there's infinite number of ways to slice and dice the data :)
I like the idea of researching demand before dealing with all the paperwork of entering a new country. That can help business validate an opportunity first.
Sell to State
@lazar_j1 thanks Lazar, that's my thinking too
A simple view showing the most common suppliers for each category could help users understand the market before reaching out.
Sell to State
@mathew_james2 hey Mathew. thanks for the feedback. when you say "most common suppliers" – is it like a leaderboard of suppliers ranked by how many tenders they've won in this category over time? what do you have in mind?
Extrovert
I know the team from the previous things they've built. they are OGs 🤘
Sell to State
@oleg_sobolev thanks mate <3
month one keyword search across 64 countries pulls plenty leads. month two obvious terms are exhausted and raw keyword monitoring stalls. procurement vocabularies diverge across borders. EU portals lean on CPV codes, US and Asian agencies use completely different taxonomies. real fix is tracking renewal cycles on historical awards, like multi-year LTA and Ministry of Health contracts in your explorer. sales team gets positioned before formal tender notice is even published)
Sell to State
@konstantin_tikhaev that's true. for now, I don't invent a new taxonomy, just allow to search using OCDS/TED/local codes
PS love the tactic you suggested. I have not built anything for it yet, but it makes sense
@vlad_nadymov Pulling contract end dates from existing OCDS award fields is fastest "MVP" for this. Gives teams heads-up months before re-tender.