Calcam
Give buyers a value case they can argue with.
What it does
Calcam turns working math into an interactive value case buyers can inspect, challenge, and share. Start with an ROI spreadsheet, a business outcome, or a credible example. Make inputs, assumptions, formulas, units, and evidence visible, then share a hosted case or embed it on your pricing page. 14-day Pro trial, no credit card.
Browse 50 working calculator templates across revenue, pricing, marketing, SaaS, finance, productivity, HR, infrastructure, and e-commerce. Pick one, edit the offer, and publish.
50 working calculator templates across 10 categories. Every one ships with inputs, formulas, and result blocks already wired together — pick one, edit the offer, and publish the page or embed. Show visitors their return on investment with inputs for spend, team size, and time saved. Compare current tool costs vs. your product with a clear savings projection. Calculate additional revenue from conversion rate improvements and traffic changes. Let reps and buyers model commission from deal size, rate, and quota attainment, with an over-quota accelerator. Convert monthly revenue, gross margin, and lifespan into lifetime value, the LTV:CAC ratio, and CAC payback period. Let visitors build a…from app.getcalcam.com
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Launched alongside, August 2026
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Life & fun · 10d 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