What The Food

What The Food

TrustMRR

If you’ve once asked yourself: “AM I actually eating right?” This macro tracker might be for you. It’s built for people who want to track food and calories without manual logging. This is a macro trac

If you’ve once asked yourself: “AM I actually eating right?” This macro tracker might be for you. It’s built for people who want to track food and calories without manual logging. This is a macro tracking companion that helps people understand what they eat and gives them context behind those numbers.

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Actual performance

13customers
$116MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating34
MRR growth 30d-33.3%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, context · Missing: agents, macos, agent
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · 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
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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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