Ju

Just got "sued" by a company. Fun stuff.

Hacker News

Just got "sued" by a company. Fun stuff.

Hi guys, Two weeks ago, I launched my company (http://www.foodsterbox.com) in Belgium . Today I tweeted the following message (originally in French): "Do you like #OtherCompanyName? Come discover Foodsterbox, the first Culinary box available in Belgium! http://blabla" 6 hours later I received an email with a PDF letter (I will get a proper letter through the mail too) basically saying that I can't use their name in a hashtag to "promote" my company and I was getting "sued" if I don't remove the tweet. The other company is not a competitor, just doing the same kind of business as me "Stuff in a box every month". Is this just a dumbass flexing his "muscle" to scare me away (for what reason, I don't know) or should I really remove the tweet? Any help or feedback is appreciated.

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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.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
49%49% 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, way · Missing: mobile apps, ios, personal
48%48% 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
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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