Motorwatch - Vehicle Price History | 10,000 + weekly users | Browser Extension

Motorwatch - Vehicle Price History | 10,000 + weekly users | Browser Extension

TrustMRR

Free price & MOT history tracker for AutoTrader UK, Carwow, Cinch and more — 7 sites in total. No sign-up needed. Motorwatch tracks price history for cars, vans and bikes across UK vehicle marketplace

Free price & MOT history tracker for AutoTrader UK, Carwow, Cinch and more — 7 sites in total. No sign-up needed. Motorwatch tracks price history for cars, vans and bikes across UK vehicle marketplaces -Note tagging — shortlisted, called the dealer, viewer -MOT checker now flags mileage discrepancies or date changes that don't add up, and highlights recurring faults - Suggested negotiation points, pulled from a car's own price and MOT history

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, 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
46%46% 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
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, 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.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
15%15% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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