AI

AI Financial Tracker

Hacker News

AI Financial Tracker

We built a financial tracking tool that uses ai to give you insights on anything in your financial life, you don't even have to know formulas. here's a quick loom demo vid: https://www.loom.com/share/cf3fdd3a838049c4bfcccdde213b8984 some quick highlights: -Connect any account -Create your own dashboards & reports (like legos for finance) -Use ai to answer questions -Custom calculations like excel -Notion style UI / Doc editor we have been working super hard on this - any feedback or support would mean the world! The waitlist is now live :)

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Launch Intel predictions

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, 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 · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
39%39% 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 · Missing: arr, mrr, revenue
13%13% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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