mesmertech
Joined 3 years ago
Joined 3 years ago
"200 OK, no answer" - insane that openrouter's main feature is literally a fallback and streaming doesn't support 200 no content to fallback to another provider or smth.
"rate-limit by IP"... now it kinda makes sense why deepseek v4.1 flash rate limits me on prod but never seems to happen on local. Makes you have to basically pin Deepseek as provider, since I've never had 429 error on them
The only reason I'm sharing these is cause AI image generators are already like thousands in the market, so I mean if someone wants to go through the hell, I don't think its really that easy a market to succeed in anyways.
And here's my list of things that didn't work out: https://mesmer.tools/
https://admakeai.com - Recently got this to 800 MRR , kinda trying to make it the main thing since the LTV on it is the highest. So if I could just figure out ads, this has the highest potential
https://aieasypic.com - First project that I made that made money from subs vs making money from ads, whole reason I continued to indiehack. Its kinda dying but core users still bring in 3-4k/mo , altho actual MRR is 1k/mo
https://bestphoto.ai - Made this after I got frustrated from the bad decisions I made on above, basically a tech rewrite + clone + simplification of aieasypic. Currently makes the most but at a lower margin than aieasypic. Not gonna say exact numbers, but lets say 5k+/mo
Or does openrouter have like a specific contract you have to sign with them and requirements or smth? https://openrouter.ai/moonshotai/kimi-k3#providers
I'm starting to not trust any "benchmarks" when it comes to frontier models at least. As an example Sol feels the most "gets stuff done" but has zero taste, or any capability to surprise.
And for frontier models I go one step ahead and try to recreate a complex animation video, with the ability for the model to review its own work. And at this Fable is still the top one. Ex: https://www.youtube.com/watch?v=uDAeAuYyl0E (recreation of Claude announcement video) and https://www.youtube.com/watch?v=cSsVNtGPOIg (recreation of a fireship video). Sol did something similar but you can instantly tell its AI slop from very small things, and it just has no narrative or thought put into the writing.
https://mesmer.tools/benchmarks/ai-video-generation , I usually put basic ones here.
Models tested: Ideogram v4, Flux.1 Dev, Flux.2 Dev, Klein, Krea 2, Z-Image
I think personally you can do first half of this with the direction with fable and then render + checking using sol since thats what I ended up doing. Guesstimate I'd say it takes around 10-20% of the 50% fable usage
Imo Remotion based videos feel better to watch than just actual GenAI videos, like Seedance.
the exact prompt for reference:
"I wanna make a plan for making good fireship videos automatically. so my thinking is, you need to first need to find a good way to insert memes like gifs, short videos, images stuff like that. another part of a good fireship video is the voice itself, so you need to find a way to voice clone fireship's audio(probably download a sample video and use our existing higgs audio api, check airoleplay and search "higgs" for the api endpoint details and the api keys and stuff if you need). another part of it is the animations and creative text animations and extra touches that he puts, maybe for this you could analyze a couple of his vids in general using gemini 3.1 pro with openrouter in detail and you can ask multiple questions abut a video to explain in detail exactly what happens.
now remember you're the orchestrator and this is likely going to be a very long task so you need to be using your context very carefully, and assign various research tasks to opus or fable subagents depending on the complexity.
the video itself should be about claude fable 5 and make another one for gpt 5.6 sol. some more reference for how we recreated antoher vidoe with a single prompt before: '/Users/test/Documents/openmotion/recreate-video-user-prompts.md'"
The training itself happened in my basement 4070ti super over a day or so.
And yes I know its Opus slop, but still really cool how things I never thought possible unless you're an ML engineer is available to a run of the mill web-dev guy.
Thanks to this tweet from Sahil for even showing how the initial idea worked to distill Kokoro in the first place. https://x.com/sahilmdkr/status/2112212041045889409