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How to start a business in France

Hacker News

How to start a business in France

Hacker News loves talking about the state of startups in France [1], and the particularities of our social security system [2]. There is no official answer in English on the Web to the question "how to start a company in France", so we've built a website to guide you through it with as little headache as possible. https://mycompanyinfrance.fr It's open-source software [3] built inside the French public startup incubator, beta.gouv.fr. For those interested : does it convey most of the information you need ? What's missing ? It's the first iteration, and we're planning many new features. [1]: Startup nation ? https://news.ycombinator.com/item?id=18066248 [2]: The French healtcare and pay as you go pension systems are also regularly discussed e.g. https://news.ycombinator.com/item?id=12998163 [3]: Source: https://github.com/betagouv/syso/

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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 NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% 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
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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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