BG

BGN/EUR converter for Bulgaria's euro adoption

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BGN/EUR converter for Bulgaria's euro adoption

Built this as a side project ahead of Bulgaria joining the eurozone (Jan 1, 2026). A few things I tried that seemed to work: - Launched ~2 months before the fixed rate announcement so Google had time to index - The domain "levaevro.com" is a transliteration of "лева в евро" (leva in euro) – exact-match domains still work surprisingly well in smaller language markets - Instead of canonicalizing all query param URLs to the homepage, I submitted 52 parameterized URLs to a custom sitemap (?amount=100&from=BGN, ?amount=500&from=BGN, etc.) – each one targets a specific search query like "100 лева в евро". Zero extra dev work, same template. - Added a llms-sitemap.xml for AI crawlers (ChatGPT, Perplexity) alongside the standard sitemap The fixed exchange rate (1 EUR = 1.95583 BGN) is set by EU Council regulation and will never change, so the tool stays accurate forever with no maintenance. Happy to share more details about the SEO approach or the technical setup.

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Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, google, para · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, perplexity, chatgpt · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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