Manage your expenses through Slack

Hacker News

Hello all, We have created a mobile app in France, called Birdly. The app allows people to manage their expenses and export them into an Excel recap easily. People just have to take a picture of their receipt through their phones and we automagically recognize the data. The startup was launched a few months ago and we have some traction in France, but we are thinking of extending our service to other channels such as Slack. I would need your help to ensure the service we thought of has some kind of interest internationally and if so, how we could improve it. Here is the URL that presents the project : http://slack.birdly.fr We currently have an MVP that we want to test with you from today on ! We would like ideally, to try it with 5 international Slack teams. If you want to try it out, just invite bill@getbirdly.com to your Slack team, or look for the instructions on the landing page. Thanks in advance for your help ! Marwann

Visit product View on Hacker NewsJul 16, 2015

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

94%94% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: slack · Missing: mac, agents, macos

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

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

43%43% 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

38%38% 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

22%22% 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

14%14% 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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