Easy Enrichment
Transaction Enrichment Made Ridiculously Simple
What it does
Bank transactions are a mess. Users see "AMZN*12345 SEATTLE" instead of "Amazon" with a logo. Building merchant recognition in-house takes months and constant maintenance. The solution: One POST request returns 15+ enriched fields including merchant name, category, high-res logo, contact details, MCC code, subscription detection, and even CO2 footprint for ESG reporting. ⚡ ~50ms response time 💰 Pay-per-use: 1-2¢/request, no subscriptions 🎯 99.9% uptime SLA 🔧 Dead simple integration
Does the same job
all alternatives →
- WBWe Built a Dashboard for Merchants to Track and Optimize Payment Fees2025 · hypersense.io · ▲15
Hello HN Viewers, So this all started when we got super frustrated trying to figure out payment fees. You know how it goes – you have got a bunch of payment providers, each with their own fee reports, and trying to make sense of all that mess is quite challenging and complex. We thought, why not just build something that pulls all those fee reports together, cleans them up, and makes them actually understandable? So we built a tool that pulls in fee reports from multiple providers, standardizes fee names, and makes it easier to understand all fee types. You can drill down to see the exact…
- YRYolodex – real-time customer enrichment APINov 2025 · api.yolodex.ai · ▲37
hey hn, i’ve been working on an api to make it easy to know who your customers are, i would love your feedback. what it does send an email address, the api returns a json profile built from public data, things like: name, country, age, occupation, company, social handles and interests. It’s a single endpoint (you can hit this endpoint without auth to get a demo of what it looks like): curl https://api.yolodex.ai/api/v1/email-enrichment \ --request POST \ --header 'Content-Type: application/json' \ --data '{"email": "[email protected]"}' everyone gets 100…
- IBI built AI that turns 4 hours of financial analysis into 30 seconds2025 · duebase.com · ▲15
I built Duebase AI to solve a problem I kept running into in fintech - analyzing UK company financial health takes forever. The process usually goes: download PDFs from Companies House → manually extract data to spreadsheets → calculate ratios → interpret trends. Takes 3-4 hours per company and requires serious financial expertise. The technical challenge: Companies House filings are messy. Inconsistent formats, complex accounting structures, missing data, and you need to understand UK accounting standards to make sense of it all. My approach: Parse 15M+ UK company records from Companies…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com
Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
