Search API for 3M govt contracts in 63 countries

Hacker News

Hey HN, I'm building a one-window search tool for all things government procurement. It's called Sell to State. We have 3M tenders across 63 countries in our database and we pull fresh ones up every week. The API and MCP are available right out of the box so your Claude/Codex/ We're used by folks from huge banks, universities and news agencies as well as SME manufacturers. The product is sold at flat $49/month or $499/year with no seat limits and very generous export ones. We're launching today at Product Hunt, so come grab 30% for annual subscription there if you're game. Happy to answer your questions

Visit product View on Hacker NewsSep 21, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, codex · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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