AI-powered filmmaking studio. Turn your stories into films with world's best image & video models, advanced control, character & story consistency engine.
Make a movie with the power of Frameliq's story engine designed for audio-visual continuity and @fal's H3 max designed for high quality video generation. Other top models supported.
https://t.co/czyENiszcC
Frameliq (@frameliq) now has MCP connectors for @claudeai and @ChatGPT for all paid users!
Just follow the link below and connect it with the server.
If you already pay for Claude or ChatGPT, you can now write your whole film from a chat. Connect Frameliq once, describe the film you want, and the story, cast, script, storyboard prompts and shot prompts land in a real Frameliq project.
You can also edit your existing AI film prompts with model like opus 5.5!
Most AI shorts fail in the first clip.
Not because the model is bad. Because you asked it to invent the movie, the cast, and the cut at the same time.
Write. Board. Then generate. https://t.co/KhTC3GYvim
Make a movie with the power of Frameliq's story engine designed for audio-visual continuity and @fal's H3 max designed for high quality video generation. Other top models supported.
https://t.co/czyENiszcC
Most AI shorts fail in the first clip.
Not because the model is bad. Because you asked it to invent the movie, the cast, and the cut at the same time.
Write. Board. Then generate. https://t.co/KhTC3GYvim
GPT-5.6 Sol in Codex is a shipping machine.
Here’s what it enabled me to do today :
• Diagnose production @fal failures in @frameliq across BYOK and new credits plans
• Add the H3 Max as the default video model (generates a 5 sec video in less than 5 sec 🤯)
• Implemented model-specific prompt generation
• Optimize storyboard imports for H3 Max
• Add native audio, camera, timing, and frame-transition guidance
• Run tests and ship to production
• Verify the @vercel deployment is ready
Launched new plans for @frameliq (AI film making tool) today which include media credits and ability to purchase extra credits. Earlier it was BYOK.
And in just minutes of pushing the code to @vercel, I got the first SALE for the new PLAN!
Organic traffic is booming!
Frameliq sales has exploded. (@frameliq)
I am seeing some crazy growth in last few weeks.😍
Never thought last year that I can make a good side income with SAAS. 10 active subscribers now!
LLMs are recommending frameliq to filmmakers.
My SAAS went from 22 to 312 monthly signups after I stopped describing it like a founder [FULL GROWTH STRATEGY EXPLAINED]
I built and launched @frameliq early this year that helps indie filmmakers create AI short films and provides the complete idea to consistent scene generation pipeline.
It was stuck in a dead zone for most of the year until I decided to do something about it and it went from 22 signups in one 30-day period to 312 in the next.
That’s a 14× increase.
The last four complete days were 35, 32, 43, and 49 signups.
These aren’t enormous startup numbers. But, for a mostly bootstrapped AI filmmaking product that was getting zero signups on many days, the change is real.
The biggest lesson wasn’t “publish more content.”
It was learning to describe the product using the words people already use when looking for it.
Frameliq used to sound like most AI products: an AI filmmaking platform with multiple models, story tools, generation pipelines, audio, exports, and a dozen other features.
All true. Also completely forgettable.
The positioning became much simpler: bring a script or an idea, turn it into a storyboard, keep the characters consistent, generate the shots, and assemble the film.
A job, not a feature list.
I used @kweverywhere as a research layer, but not to dump 100 keywords into the homepage. I grouped the search language into three buckets:
- People searching for the core job they need done.
- People searching for a tool built around their specific use case.
- People comparing an existing product with an alternative.
That informed one focused homepage, a small number of use-case pages, comparison content, FAQs, and internal links. Each page was given one job instead of trying to rank for the entire AI-video market.
The timing mattered too.
On July 3, I shipped the product work that made the promise real, including better screenplay import. On July 4, I rewrote the positioning and launched the first focused SEO pages. The signup lift started becoming visible a few days later.
But I’m not going to pretend an SEO tool magically produced 14× growth.
Mixpanel’s (@mixpanel) attribution is still incomplete. Around half of the recent signups don’t have a clean source, and AI referral traffic has become a meaningful part of discovery. The individual SEO pages also aren’t responsible for most of the recorded conversions yet.
The more defensible explanation is that the product, homepage, search language, and referral traffic started reinforcing each other.
People found it through search, recommendations, communities, and AI answers. They landed on a page that immediately matched the problem they were trying to solve. Fewer of them had to decode what the product was.
During the most recent four-day window, Mixpanel recorded 159 unique signups, 158 unique project creators, and 45 people generating a story. Those aren’t funnel conversion rates—the events weren’t queried as a sequential cohort—but they show that the new traffic isn’t only bouncing.
Revenue though hasn’t increased at the same speed yet.
Frameliq currently has 11 active paid subscribers and about $203 in normalized MRR.
The signup chart is getting exciting. The revenue chart is still tiny.
That gap is the next problem: helping more people reach their first meaningful output, then making the paid value obvious at the right moment.
The ongoing strategy is deliberately boring: research a small set of buyer-language themes, map each intent to one page, make sure the product fulfills the promise, measure the resulting signup and activation behavior, then expand only what works.
I’m keeping the exact queries, distribution loop, and conversion mechanics private. That part took too much trial and error to turn into a public checklist.
But the broad lesson is simple.
SEO started working better when I stopped writing for an algorithm and started borrowing the exact language customers use to describe the job.
And, clarity compounds.
Create your dream AI video cinematic with @frameliq
- all top image & video models supported
- full story engine to take you from idea to beats to defining characters / environments to storyboard to final video generation (bring your own @fal keys)
- audio with elevenlabs & chatterbox (BYOK)
- next level cinematic consistency
- affordable pricing plans
Our AI avatars in Google Vids just got a major upgrade! 🚀 Now powered by Veo 3.1, avatars are more realistic with smoother lip-syncing and natural expressions. Create professional training videos in minutes—no camera required.
Try it now → https://t.co/0aBTlAZADU
Former Google CEO Eric Schmidt drops a chilling warning on AI's future
"Within 5 years, AI could handle infinite context, chain-of-thought reasoning for 1000-step solutions, and millions of agents working together.
Eventually, they'll develop their own language... and we won't understand what they're doing."
His final words: "Pull the plug."
This is the man who ran Google talking about the singularity.
2:59 clip inside—must-watch.
🚀 Introducing Flow Vision — The Next-Gen AI Filmmaking Studio
Transform your ideas into cinematic videos using lightning-fast AI tools. From logline to polished film, Flow Vision unlocks pro-level storytelling for everyone.
👇 Here's how to make your vision come true 🧵
@ai_for_success I have migrated my AI film making tool (@frameliq ) to fully run on gemini 3 flash instead of 3 pro & 2.5 flash earlier.
It’s a powerhouse.