Starlog

TrustMRR

Starlog — Receipt Scanner & Expense Tracker Starlog is a receipt scanner and expense tracker built for the people who actually keep the books in a small business: owner-operators, freelancers, contrac

Starlog — Receipt Scanner & Expense Tracker Starlog is a receipt scanner and expense tracker built for the people who actually keep the books in a small business: owner-operators, freelancers, contractors, and the accountants who clean up after them. It turns the universal mess of crumpled receipts, mileage logs, and forgotten expenses into something you can hand to a bookkeeper at tax time without flinching. The core workflow is deliberately simple. Snap a photo of a receipt and Starlog's OCR

Visit product View on TrustMRRMar 20, 2026SaaS Mobile App B2B

Actual performance

1customers

Did not reach leaderboard

Launch Intel predictions

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

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

19%19% 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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