Leumos AI
AI-powered browser-based color grading tool
AI & Machine Learning·Productivity
About
Leumos AI is an AI-powered color grading tool for filmmakers, video editors, cinematographers, and content creators. It helps users achieve professional-looking results with features like AI shot matching, reference matching, Smart Grade, skin-tone protection, cinematic effects, and detailed manual color controls. Leumos AI can be used for everything from YouTube videos and social media content to short films, music videos, and professional productions. To use it, simply upload your footage, choose a reference or grading workflow, let the AI analyze and grade your shots, and fine-tune the result using the available controls. Its browser-based workflow makes professional color grading faster, simpler, and more accessible without the complexity of traditional grading software.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
going in eyes wide open is like are you going to be the big fish or the little fish... when you have two companies that are kind of equal size all of a sudden it's like I want it on my stack and I want control of the building relationship and all those things you know we've run into issues before
Know who is the big fish before signing a bundle partnership
External bundle partnerships create great press and real business results, but they break down when both parties have equal leverage and competing tech stacks. Michael's rule: before signing, decide which partner owns the billing relationship, the data, and the customer experience. If both sides think they are the primary, the deal will stall or blow up. Going in with clear eyes about power asymmetry is the prerequisite.
I repeat myself all the time and then if I repeat myself 10 times like you know don't repeat yourself as the Mantra then I write a function but I don't people like people try immediately write a function for something you repeat twice it's like man just tweet repeat it TW you know like this kind of stuff
Don't extract functions on the second repeat — let it repeat 10 times first
Standard DRY advice tells you to extract a function the second time you repeat code. For a solo indie hacker pre-PMF, that's premature optimization. Pieter's rule: let it repeat 10 times before you build the abstraction. By repetition 10, you know what the shape of the abstraction actually needs to be. Earlier than that, your function design will be wrong and you'll refactor it twice anyway. Validate the pattern first, abstract once.
There's a play for whatever you're stuck on.
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