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Jargon-free financial advice via text

Hacker News

Jargon-free financial advice via text

Hey all, I created HelpElf after my sister just graduated from college this spring and started her first real job. She knew she should be saving and investing, but didn't know how to get started. Most of the articles and guides she tried to read on the Internet were for people who were already proficient in personal finance and investing and were confusing for her. And there's a TON of bad advice out there. After helping her set up her 401(k), brokerage account, and monthly budget, I realized that she was looking for completely jargon-free answers to her questions, like: + How much should I invest every month? + What's the safest and easiest to use investing platform for me? + How much should I have saved before starting a family? I worked for one of the largest financial institutions in the world and personal finance is something I'm passionate about, so I created HelpElf, which aims to bring financial advice to everyone. Just text us at 510-756-2522 and we'll answer your questions and work with you to safely grow your money. Here's the link to the site: https://www.helpelf.xyz/

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best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: personal, month, monthly · Missing: mobile apps, ios, entrepreneurs
64%64% 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
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
38%38% 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
11%11% 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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