CreditFX
Stop counting credits. Start understanding them.
What it does
AI platforms have created their own currencies: credits, tokens, minutes, generations, and more. CreditFX translates them into real-world usage and dollar rates so you can understand what you're actually paying for. Calculate what your credits get you, or use the Usage Planner on supported platforms to start with what you want to create and see the credits, plan, and estimated cost required. Free to use. No account required.
AI pricing translated into real dollars-per-unit rates — 112+ platforms across video, image, voice, coding, and more. Free, no account required.
Credits, tokens, minutes, seconds, requests — every AI platform measures usage differently, and none of them tell you what you're actually paying for. CreditFX translates the mess into real dollar rates. Why I built this → Tap any platform to open its calculator — pick a tier, how you're creating, and how much. Stock-footage-only text-to-video, no AI-generated visuals — positioned closer to Pictory than Runway. Highly rated by users despite the pricing feeling steep. Strong avatars, but premium models burn credits 6-7x faster than budget ones — check which avatar you're actually using. Cheap entry price, but documented checkout-price discrepancies are a real complaint worth checking first.…from creditfx.mogabr.com
Does the same job
all alternatives →
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 · 16d 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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
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