Do

Doorstep

TrustMRR

Know before you knock. Doorstep is a prospecting tool for anyone who sells services to local businesses. Search any business type in any area and it returns every independent business matching — chain

Know before you knock. Doorstep is a prospecting tool for anyone who sells services to local businesses. Search any business type in any area and it returns every independent business matching — chains filtered out automatically — complete with the contact details you need to approach them.

View on TrustMRRMay 7, 2026Social Media Digital stripe

Actual performance

Did not reach leaderboard

Launch Intel predictions

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

56%56% 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.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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