Françaisalondres.com

Françaisalondres.com

TrustMRR

L'incontournable magazine et media web des francophones et Français de Londres et du Royaume-Uni. Recevez la newsletter de la semaine chaque vendredi matin et rejoignez les 45,000+ membres avides d'in

L'incontournable magazine et media web des francophones et Français de Londres et du Royaume-Uni. Recevez la newsletter de la semaine chaque vendredi matin et rejoignez les 45,000+ membres avides d'infos French in London

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Actual performance

182customers
$2,719MRR/mo
Made the leaderboard

Traction signals

Domain Rating40
MRR growth 30d+86.7%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000 · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
20%20% 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.

Correct prediction on native model

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