Launch Intel
Linkinvid

Linkinvid

TrustMRR

Linkinvid est une application par abonnement pour créateurs de contenu. Elle leur permet de certifier leurs publications (TikTok, Instagram, YouTube…) et d'y attacher leurs produits et liens affiliés,

Linkinvid est une application par abonnement pour créateurs de contenu. Elle leur permet de certifier leurs publications (TikTok, Instagram, YouTube…) et d'y attacher leurs produits et liens affiliés, pour que leur audience retrouve les produits exacts. Abonnement mensuel ou annuel, résiliable à tout moment.

Visit productView on TrustMRRJul 21, 2026Softwarestripe
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Actual performance

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
29%29% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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