Kontu

Kontu

TrustMRR

Kontu is a budgeting app for the moments when you're deciding about money. When payday comes and you're planning the month. When a friend suggests a trip. When your partner asks if you can afford it.

Kontu is a budgeting app for the moments when you're deciding about money. When payday comes and you're planning the month. When a friend suggests a trip. When your partner asks if you can afford it. Kontu shows what's really yours to spend, so you can answer without guessing.

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Actual performance

1customers
$2MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating1

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
56%56% 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
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
35%35% 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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