PrecificaAI

TrustMRR

Automatic Calculation Automatically calculate the total cost including ingredients, packaging, labor, and fixed costs. Ingredient Management Organize your ingredients with precise units of measurement and integrated inventory control. Smart Pricing Set ideal profit margins and obtain automatically suggested selling prices. Profitability Analysis View profit per product, margin percentage, and performance of each recipe. Time Control Calculate the value of your working hour, including labor,

Visit product View on TrustMRROct 17, 2025Utilities IT Services B2C

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Actual performance

1customers

$4MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-0.4%

Launch Intel predictions

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

51%51% 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

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, margin, margins · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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