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Human financial advising for college students at no upfront cost

Hacker News

Human financial advising for college students at no upfront cost

Hi HN! Students without significant wealth are accumulating record levels of debt, and they have no source of truth in how they should be managing the many variables in their financial lives for the short, medium, and long terms. Optimizing the numerous financial variables in one’s life is hard, talking about it is stigmatized, and few people want to do it themselves. Students leave thousands on the table by ineffectively managing their finances Traditional “FinTechs” don’t address personal finances holistically. Instead, they build tools to optimize individual financial processes in isolation (Mint for budgeting, SoFi for lending, Acorns/Robinhood for investing, etc.). We understand that students will receive the greatest value from a solution that addresses every aspect of their finances. FinTechs that do take a “holistic” approach do so through highly automated robo-solutions. We understand that qualified humans can provide 10x more value than these solutions by taking a handcrafted approach to managing and optimizing personal finances. Currently, Findo is a chat-based mobile platform that connects students with in-house personal financial advisors at no upfront cost. We’re taking the human-centric financial planning model now accessible to high wealth individuals and boiling it down so that it’s affordable and attractive to students. We’re starting with college students because we 1) understand the market, 2) can access it through partnerships with university financial-wellness programs, and 3) know that support from university administrations for financial wellness initiatives is growing. Leveraging partnerships with universities will give us an early cohort of users to further test our key assumptions. With these assumptions validated, we can then address a broader and more complex base of consumers. Please provide criticism, feedback, and ask lots of questions! Here's our landing page: https://www.getfindo.com/

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Actual performance

2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
46%46% 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
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.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, user · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, finances · Missing: web3, crypto, cryptocurrency
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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