I

I built a tool that creates and edits videos using text prompts

Hacker News

I built a tool that creates and edits videos using text prompts

I have built a simple way to turn ideas into videos and also edit the them using text. I used python for backend and ts/js on the frontend. it's using open-ai models for LLM and Flux for image generation. I will answer any question that you might have regarding the tech stack.

Share card

Actual performance

4points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, using · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

I
I built a tool that creates videos out of React code39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool that creates videos out of React code

Hacker News6
Cl
ClpGen – AI creates full-length YouTube-style videos from prompts33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ClpGen – AI creates full-length YouTube-style videos from prompts

Hacker News5
I
I built an agent that creates videos for just $0.10 each19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an agent that creates videos for just $0.10 each

Hacker News2
Happah
Happah72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your AI that creates and publishes.

Indie Hackerscommitment-full-time
Gr
Grammarly for Prompts Built with Go, Htmx, Templ47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grammarly for Prompts Built with Go, Htmx, Templ

Hacker News3
Th
The Z3 theorem can now be built using CMake46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Z3 theorem can now be built using CMake

Hacker News2
I
I Built a SasS Using Vapor and Puppeteer71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Built a SasS Using Vapor and Puppeteer

Hacker News12
Vi
Vim-snipe – Targeted linewise motions and edits62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vim-snipe – Targeted linewise motions and edits

Hacker News4
Te
Text Rewriting Using IIFEs48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Text Rewriting Using IIFEs

Hacker News1
I
I made a browser tool that creates newspaper and book text match cuts60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a browser tool that creates newspaper and book text match cuts

Hacker News5