An app that helps consumers with less-than-perfect credit improve their credit score

Acquire.com

Mobile app with $10,402 in TTM revenue and $782 in revenue last month that gives a consumer a blueprint on how to improve their credit score. Most applications only show users their score but we actually walk them through how they can improve it. ✅ $10,402 in TTM revenue ✅ $782 in revenue last month ✅ Bootstrapped ✅ Tech Stack: Angular, Node, GCP, Method Fi API, CRS ✅ Competitors: Credit Sesame, Wallet Hub

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$41,608

Launch Intel predictions

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

59%59% 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.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal

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

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

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

23%23% 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

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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We are a fully FCA authorised consumer credit startup in the UK. We offer a mobile app to consumers who pay a subscription fee to build their credit score and have key bills protected through an interest-free line of credit.

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