ManifestDaily: Affirmations

ManifestDaily: Affirmations

TrustMRR

A daily affirmations & manifestation app built for people who want a practice that actually sticks. 510+ affirmations across six goal categories, a focus timer with streaks, guided breathing, and a "V

A daily affirmations & manifestation app built for people who want a practice that actually sticks. 510+ affirmations across six goal categories, a focus timer with streaks, guided breathing, and a "Vault" for writing time-capsule letters to your future self.

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Actual performance

3customers
$9MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d+181.6%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% 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 · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
24%24% 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.

Incorrect prediction on native model

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