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ComfyRun – Run and share any ComfyUI workflow with no manual setup

Hacker News

ComfyRun – Run and share any ComfyUI workflow with no manual setup

Hi HN! In October, we launched https://comfyworkflows.com to make it easier for people to share and discover ComfyUI workflows. We learned that downloading other workflows and trying to run them often doesn't work because of missing custom nodes, unknown model files, etc. So, we've built https://comfyrun.com/ - A ComfyUI extension that lets you easily run & share ComfyUI workflows, without any manual setup. You can get the extension here: https://github.com/thecooltechguy/ComfyUI-ComfyRun With our extension, you can: 1. Upload any workflow to make it instantly runnable by anyone (locally or online). no manual setup needed! 2. Import any online workflow into your local ComfyUI, & we'll auto-setup all necessary custom nodes & model files. This is a beta, so any feedback would be greatly appreciated! Join our discord to follow our progress: https://discord.gg/DrxKpmxttQ

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model · Missing: mac, agents, macos
75%75% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · 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: io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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