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.
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?
the "ancient website, portal from 2004" framing in your screenshots is honest, but it also raises the question I'd actually want answered before paying for this - when a source agency's portal is that old and clearly not built for scraping, how do you catch it silently breaking or going stale? A tender feed that looks alive but is actually 3 months out of date on some obscure agency site seems like the failure mode that would matter most and be hardest to notice from the buyer's side.
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)
A simple view showing the most common suppliers for each category could help users understand the market before reaching out.
can users compare procurement activity between countries to see where demand for a particular product is higher?
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.
About Sell to State on Product Hunt
“Search 3M government contracts in 64 countries”
Sell to State launched on Product Hunt on September 21st, 2026 and earned 114 upvotes and 20 comments, placing #8 on the daily leaderboard. 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 was featured in Sales (22.1k followers), API (98.7k followers) and SaaS (44.3k followers) on Product Hunt. Together, these topics include over 79.9k products, making this a competitive space to launch in.
Who hunted Sell to State?
Sell to State was hunted by Paul Mit. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Sell to State stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Paul Mit
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?