Fungible – A local personal finance app in the terminal

Hacker News

Fungible is a terminal-based personal finance app that fills the Mint-shaped void in my life. It runs using your own plaid credentials (optional) and has its own integrated chatbot (also optional and BYO key). You connect banks via Plaid or import CSVs. Transactions get auto-categorized by rules you define. On top of normal categories there's a flexibility layer (fixed / flexible / discretionary) so you can see at a glance what's actually controllable spending. There are also tags (also separate from categories) for isolating things like trips or hobbies. The financial health screen does savings rate, liquidity runway, and FIRE projection with adjustable assumptions. Probably overkill but I like it. It also has an MCP server so Claude/ChatGPT can talk to you about your finances, create rules/tags, etc. That’s always the most annoying thing for me when trying a new personal finance tool. Hopefully this brings down the barrier to usefulness. The agent/chatbot in the app has the same tools as the Claude/ChatGPT would have via the MCP.

Visit product View on Hacker NewsMay 25, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, claude, mcp · Missing: mac, agents, macos

86%86% 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.

TrustMRRFits verified-revenue profile · Strong signals: personal, way, para · Missing: mobile apps, ios, entrepreneurs

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

53%53% 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

35%35% 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

24%24% 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: arr · Missing: mrr, revenue, profit

16%16% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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