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The Money Company – Talk to your bank in plain English

Hacker News

The Money Company – Talk to your bank in plain English

Hey HN - I’m Mert, one of the founders of thecompany.money. We let you manage personal or company finances simply by chatting with your existing bank accounts—no spreadsheets, dashboards, or finance-speak required. Most banking apps are great at showing line items but painful at answering questions: “How much can I safely burn each month and still have 18 months runway?” “Which vendor categories jumped the most this quarter?” “If I max out my ISA, how does that change my tax bill?” Founders (myself included) end up exporting CSVs, writing one-off formulas, or pestering a CFO friend on Slack. Unified pipes to your accounts – Open Banking + Plaid + a couple of direct bank partnerships pull transactions and balances in real-time. Domain-tuned LLM – We built a finance-specific finetuned language model + tool-calling layer that understands “What did I spend on infra last month?” and returns a clear answer, supporting docs, and the SQL it ran under the hood. Action shortcuts – From the same chat you can schedule transfers, set budget alerts, or spin up an “instant runway report” PDF for investors. Privacy & security first – Read-only access by default, end-to-end encrypted storage, and we never train models on raw user data. Where we are Private alpha with 200 live users (mostly early-stage founders and indie-hackers). Handling ~£12 M in linked balances; average chat latency is <1.5 s. SOC 2 readiness audit in progress. What's next? We’re expanding beyond “answers” into perks that used to be exclusive to the ultra-wealthy—think last-minute restaurant tables, card-linked cashback, concierge bookings—surfaced automatically when your spending patterns qualify. Please let us know what kind of perks you would like us to add to the platform. We would also appreciate to hear any requests or problems you have had with a financial advisor if you ever worked with one

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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, slack, apps · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, pipe · Missing: https docs, excited, just released
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, month · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, exclusive, users · Missing: plus, intuitive, reviews
36%36% 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 · Strong signals: chat, finances · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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