Market Trends
Product Positioning & Context
No matter how powerful LLMs get, they are objectively bad at financial transactions. Context loss, inconsistent categories, no memory between sessions. Jupid fixes the data layer. Connect your bank — it learns your business and every vendor relationship once, then remembers forever. Transactions mapped to IRS Schedule C categories (~96% accuracy). Missed deductions found: $1,249/year average. File your Schedule C in 5 minutes. Works with Claude Code. Free trial + 50% off first 3 months.
Community Voice & Feedback
As a fellow founder, I felt this pitch in my soul. There are very few things I dread more than opening up a spreadsheet of 500+ bank transactions and trying to remember if a random coffee from six months ago was 'Meals,' 'Office Supplies,' or 'Travel.'I’ve actually tried the 'dump the CSV into Claude' trick before, and just like you said—by transaction #200, it starts hallucinating and completely loses the plot.The architectural choice to map memory to the counterparty relationship rather than individual transactions is brilliant. It completely solves the context window problem.Incredible execution on a deeply painful problem. Huge congrats on the launch, Slava and team!
@slavaakulovReally interesting and functional idea!! There is one thing I’m curious about: how do Jupid handle edge cases in transaction categorization, especially for mixed personal/business expenses or vendors that can map to multiple categories? Feels like these kinda questions are common😖thus if it could be solved may make the product much more trustworthy for real-world use. Thanks and looking forward your feedback.
I saw a meme on LinkedIn about this, but damn, this looks like the real deal
Cool use case
How do you ensure deterministic results when Claude is handling actual tax calculations, is there a verification layer that catches hallucinated numbers before filing? Really bold product idea!
@slavaakulov I use PayPal for a lot of freelance payments. PayPal transactions in my bank show as 'PAYPAL *TRANSFER' with no detail. How does Jupid handle that?
Hey Product Hunt! I'm Slava, CEO of Jupid.
I co-founded Anna Money (100K+ users, CNBC top UK fintech).
At Anna Money I was COO — ran everything from product to finances. We had 15,000 active clients running on autopilot with just one accountant. I've been automating accounting for 5 years — first for Anna Money, then for my own companies.
When Claude and GPT-4 arrived, I made four decisions:
I will never manually categorize a transaction again.
I will never attach a receipt by hand.
I will never open Excel for my books.
I will never use another interface that limits me and forces
manual data work.
I have dyslexia. Working with rows of numbers in traditional accounting interfaces isn't just tedious — it's genuine mental pain. So I didn't optimize the old workflow. I eliminated it. I built a product where I can just chat — by voice or text. It understands my business, my vendors, my context. And it never forgets. My accountant gets what he needs in 5 minutes.
This isn't a preference. It was a necessity. But when you build for necessity, you build something better for everyone.
So why does Jupid exist?
Because any LLM — Claude Code, Cursor, ChatGPT — is already smarter than any accounting software for working with your data. You can categorize, analyze, generate reports. Out of the box.
But the real problem isn't intelligence. It's context.
Dump 1,000 transactions into Claude — works great for the first 50. By #300, it loses track. Same vendor, different category. Next month — start over. Your accountant needs data in IRS categories, ready for QuickBooks. No LLM does that
automatically.
I spent years solving this. Built a system that understands each vendor relationship independently — learns once, remembers forever. New transactions land in the right context. It never overflows, never resets, never drifts.
Now I've made it a product.
What Jupid does:
• Connects your bank (real-time) or takes CSV
• Learns your business + every vendor relationship
• Maps transactions to IRS Schedule C categories (~96%)
• Finds missed deductions ($1,249/year average)
• P&L, cash flow, balance sheet, Schedule C — instant
• File your Schedule C in 5 minutes, not 5 hours
Works everywhere you already are:
• AI tools: Claude Code, Cursor, ChatGPT
• Chat: Telegram, WhatsApp, iMessage
• Just type — or talk. Voice works perfectly.
• Raw bank data never touches AI providers —
everything is pre-processed first
No new interface. No accounting software. No bookkeeper. Just your voice, your chat, and a financial brain that never forgets.
PRODUCTHUNT = 50% off first 3 months.
How many of you have tried doing books in Claude or Cursor?
At what point did it break down?
I co-founded Anna Money (100K+ users, CNBC top UK fintech).
At Anna Money I was COO — ran everything from product to finances. We had 15,000 active clients running on autopilot with just one accountant. I've been automating accounting for 5 years — first for Anna Money, then for my own companies.
When Claude and GPT-4 arrived, I made four decisions:
I will never manually categorize a transaction again.
I will never attach a receipt by hand.
I will never open Excel for my books.
I will never use another interface that limits me and forces
manual data work.
I have dyslexia. Working with rows of numbers in traditional accounting interfaces isn't just tedious — it's genuine mental pain. So I didn't optimize the old workflow. I eliminated it. I built a product where I can just chat — by voice or text. It understands my business, my vendors, my context. And it never forgets. My accountant gets what he needs in 5 minutes.
This isn't a preference. It was a necessity. But when you build for necessity, you build something better for everyone.
So why does Jupid exist?
Because any LLM — Claude Code, Cursor, ChatGPT — is already smarter than any accounting software for working with your data. You can categorize, analyze, generate reports. Out of the box.
But the real problem isn't intelligence. It's context.
Dump 1,000 transactions into Claude — works great for the first 50. By #300, it loses track. Same vendor, different category. Next month — start over. Your accountant needs data in IRS categories, ready for QuickBooks. No LLM does that
automatically.
I spent years solving this. Built a system that understands each vendor relationship independently — learns once, remembers forever. New transactions land in the right context. It never overflows, never resets, never drifts.
Now I've made it a product.
What Jupid does:
• Connects your bank (real-time) or takes CSV
• Learns your business + every vendor relationship
• Maps transactions to IRS Schedule C categories (~96%)
• Finds missed deductions ($1,249/year average)
• P&L, cash flow, balance sheet, Schedule C — instant
• File your Schedule C in 5 minutes, not 5 hours
Works everywhere you already are:
• AI tools: Claude Code, Cursor, ChatGPT
• Chat: Telegram, WhatsApp, iMessage
• Just type — or talk. Voice works perfectly.
• Raw bank data never touches AI providers —
everything is pre-processed first
No new interface. No accounting software. No bookkeeper. Just your voice, your chat, and a financial brain that never forgets.
PRODUCTHUNT = 50% off first 3 months.
How many of you have tried doing books in Claude or Cursor?
At what point did it break down?
Related Early-Stage Discoveries
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
How do we make sure the model correctly calculate information we provide to it.
Is there a second layer of data assertion in case model is hallucinating?