SMART MESSAGING LAB UG (haftungsbeschränkt)

TrustMRR

Unsere Kunden kaufen eine Postkarte mit einem Wunschdesign und einem integrierten persönlichen QR-Code zur Nutzung einer digitalen Dienstleistung (Messaging). Die Dienstleistung ist auf ein Jahr beschränkt, kann aber verlängert werden. Mit Kauf ist der Service aktiv und daher wird direkt belastet. Wir planen ein Abo-Model mit jährlicher Zahlung.

Visit product View on TrustMRRFeb 18, 2025IoT & Hardware Media B2C

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Actual performance

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Strong signals: smart · Missing: web3, chat, crypto

77%77% predicted probability of success on BetaList, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, code · Missing: mac, agents, macos

26%26% 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.

Correct prediction on native model

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