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Deltx – AI-Powered CFO for SMEs

Hacker News

Deltx – AI-Powered CFO for SMEs

Hey HN! We're excited to share our project, Deltx, a finance management solution for small and medium-sized businesses that adds no extra work for the company owner. Deltx aims to save money, simplify financial tracking, and provide data-driven insights using AI technology. Key features: Burn Rate Creep Control: Track and manage recurring bills and subscriptions to reduce unnecessary expenses. Simplified Financial Monitoring: User-friendly interface on top of your accounting software for easy spending and revenue tracking. AI-Powered Insights: Leverage GPT-3/4 to serve as a virtual CFO, answering financial questions instantly for better decision-making. We built Deltx to address the challenges SMEs face when managing their finances, especially when dealing with complex accounting software and making data-driven decisions. With Deltx, businesses can focus on growth while ensuring their finances are under control. We'd love to get feedback from the HN community and answer any questions you might have. If you're interested in trying Deltx, we invite you to sign up for a free trial on our website: https://www.deltx.io/ Looking forward to your thoughts and suggestions!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
89%89% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, interface · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, using · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
20%20% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, growth, recurring · Missing: arr, mrr, profit
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: finances · 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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