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Clutch – A Used Cars Newsletter

Hacker News

Clutch – A Used Cars Newsletter

https://mailchi.mp/72b9e58802fa/clutch-newsletter A weekly newsletter that delivers you the best used cars sorted by price and mileage based on the preferences that you provide when you sign up. It looks at various websites that deliver cars to your house so that you don't have to visit a dealership! I built this because I was having trouble keeping track of the used cars on different websites that I decided to build an aggregator and serve it over a newsletter. Please let me know what you think! It also took me longer to build it than to buy the car I wanted ¯\_(ツ)_/¯

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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.

Correct prediction on native model

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