Chartsy
Find which marketing channels drive your revenue
What it does
Chartsy brings subscription analytics and marketing attribution together in one place for SaaS businesses. Connect Stripe or Paddle and add Chartsy’s tracking script to your website to understand the journey from traffic → signups → MRR → churn, and see which marketing channels drive MRR and impact churn. Chartsy also lets you explore your data with AI, ask questions in plain English, and instantly generate charts and insights without SQL or complicated BI tools.
Ask for any SaaS metric or insight you need and build your perfect subscription analytics dashboard - exactly the way you want it.
Find out what's making you money, which customers matter most, and which marketing sources are worth investing in. Your revenue, customers, and key metrics - all in one place. See which channels bring customers, what they're worth, and how they impact your MRR. Ask about MRR, churn, LTV, or top customers. Chartsy calculates the metric, selects the right visualization, and explains what changed. Connect Stripe or Paddle and turn your revenue, churn and customer data into clear answers—before tomorrow morning. The Chartsy program is realized with the financial support of the Albanian Government through the Ministry of Economy and Innovation, under the Grant 2026 scheme, and is implemented by…from chartsy.app
Does the same job
all alternatives →More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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 · 16d ago · simedw.com