Sa

SaaS scan invoices and download the invoice information as a CSV file

Hacker News

SaaS scan invoices and download the invoice information as a CSV file

A straightforward app that was built in under 48h by myself and my brother. Why? Collecting invoice information while on a company trip can be a tedious process. It involves scanning documents, inputting data from each invoice into an Excel spreadsheet, and then sending it to the Finance Team. It's also a pain if you want to collect all your expenses every month, and then analyse where your money went at the end of the month. So, why not leverage AI to extract information from a picture or PDF and download it as a CSV file? This CSV file can then be used in Google Sheets or Excel Spreadsheets. This app's objective is to scan your invoices, have them analysed, and download the information in a CSV format. It's as simple as that. What do you think? Any improvement feedback? How should I get more feedback from real users? I would love to receive your feedback about the app

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Actual performance

3points
2comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, google, users · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, user · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
21%21% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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